CN105391051A - Intelligent substation energy efficiency enhancement transformation energy saving amount calculation method - Google Patents

Abstract

The present invention provides a method for calculating energy saving in energy efficiency improvement and renovation of smart substations, which mainly includes: S1) determining and detecting various parameters of the substation according to the energy efficiency improvement and renovation information of the smart substation; ) Calculate the energy efficiency improvement and transformation of smart substations to save electricity consumption; S4) Calculate the electricity generated by new renewable energy equipment for energy efficiency improvement and transformation of smart substations; S5) Calculate the energy efficiency improvement and transformation of smart substations to save electricity according to the operating status of smart substations. The method can effectively obtain the power saving of the smart substation through the analysis of the energy saving of the main power equipment of the smart substation, the power saving of the station, and the power generation of the renewable energy.

Description

A Calculation Method for Saving Energy in Energy Efficiency Improvement and Transformation of Smart Substation

technical field

The invention belongs to the field of electric power systems, and in particular relates to a method for calculating energy saving in energy efficiency improvement and transformation of intelligent substations.

Background technique

In the power system, the power of the grid is delivered to users through links such as power transmission, power transformation and power distribution. Substations play the role of power distribution in the power system. Smart substation adopts advanced, reliable, integrated and environment-friendly intelligent equipment, with the basic requirements of digitalization of whole station information, networking of communication platform, and standardization of information sharing, and automatically completes basic functions such as information collection, measurement, control, protection, measurement and detection. At the same time, it is a substation with advanced functions such as real-time automatic control of the power grid, intelligent adjustment, online analysis and decision-making, and collaborative interaction.

Substation loss reduction and energy saving are generally carried out in four aspects: substation planning and construction, transformer economic operation, substation energy efficiency management and power demand side management. A substation with excellent structure and advanced equipment is the basis for loss reduction. The planning and construction of a substation should fully consider the impact on the line loss of the power grid; with a strong, energy-saving and economical substation, economic operation and reactive power compensation are powerful measures to reduce the loss of the substation , economic operation does not require investment and has a good loss reduction effect, which is an important means to reduce power grid loss; power demand side management is to rely on measures such as policies and electricity prices to guide power demand reasonably, so that the grid load is as even as possible in time and space .

At present, after searching the literature, no systematic calculation method has been found for the overall energy saving of smart substation energy efficiency improvement and transformation.

Contents of the invention

The technical problem to be solved by the present invention is to provide a method for calculating the energy saving of smart substation energy efficiency improvement and transformation. The method analyzes the energy consumption of the main transformer of the smart substation before and after the energy efficiency improvement, the power consumption of the station, and the access to new energy. Effectively obtain the energy-saving energy of the smart substation after energy efficiency improvement and transformation.

The technical solution of the present invention is: a method for calculating energy saving in energy efficiency improvement and transformation of smart substations, comprising:

S1) Determine and detect various parameters of the substation according to the energy efficiency improvement information of the smart substation;

S2) Calculate the energy efficiency of the smart substation to improve and transform the transformer to save electricity;

S3) Calculate the energy efficiency improvement and transformation of smart substations to save power consumption;

S4) Calculate the electricity generated by the new renewable energy equipment for energy efficiency improvement and transformation of smart substations;

S5) According to the operation status of the smart substation, calculate the energy efficiency improvement and transformation of the smart substation to save electricity.

In the method, the substation parameters determined in step S1 include transformer no-load power loss, load fluctuation loss coefficient, transformer average load coefficient, transformer rated load power loss, reactive power economic equivalent, transformer No-load excitation power, transformer rated load flux leakage power, the number of lamps and lanterns before the transformation of the station electric lighting system, the unit lamp power before the transformation, the number of lamps and lanterns after the transformation, the unit lamp power after the transformation, the power adjustment coefficient of the lamps and lanterns before and after the transformation, and the lighting equipment Running time, number of lamp models, number of lighting calculation areas, average illuminance of lamps before and after transformation, total solar radiation on the horizontal plane of photovoltaic equipment, installation capacity of photovoltaic modules, irradiance under standard conditions, comprehensive efficiency coefficient; transformer equipment annual The running time T _T needs to be entered manually. Generally, the total time of a year is 365*24=8760 hours; the base period before the transformation (the base period refers to the time period before the implementation of energy-saving measures used to compare and determine the energy saving of the project) The time T _T1 needs to be entered manually. Generally, the statistical period is one year, and the total time is 365*24=8760 hours;

The methods for detecting various parameters of the substation include: the no-load power loss of the transformer before and after transformation is a nameplate parameter, which needs to be entered manually; the load fluctuation loss coefficient can be obtained by calculation, and it is necessary to provide an hourly record of electricity, which is measured by an electric energy meter above 2.0 Obtained, in the case that the recorded power cannot be obtained, the load fluctuation loss coefficient is obtained by looking up the table;

The average load factor of the transformer is the ratio of the apparent power of the average output of the transformer to the rated capacity of the transformer within a certain period of time. ; The reactive economic equivalent is obtained by looking up the table;

Transformer no-load excitation power Q ₀ is obtained by calculation, Q ₀ = I ₀ ％S _N ×10 ^-2 , where I ₀ ％ is the percentage of no-load current, which is the parameter on the transformer nameplate, and S _N is the rated capacity of the transformer, which is the parameter on the transformer nameplate ;Transformer rated load flux leakage power Q _k is obtained by calculation, Q _k ＝U _k ％S _N ×10 ^-2 , where U _k ％ is the percentage of short-circuit voltage of the transformer, which is the nameplate parameter of the transformer, and _SN is the rated capacity of the transformer, which is the transformer Nameplate parameters; the number of lamp sets before and after the transformation of the station electric lighting system needs to be entered manually; the power of the unit lamp before and after the transformation is a rated parameter and needs to be entered manually; Manual entry; the number of lamp models, the number of lighting calculation areas, and the average illuminance of lamp lighting before and after renovation need to be entered manually; the total solar radiation on the horizontal plane of photovoltaic equipment is obtained by looking up the table; the installed capacity of photovoltaic modules needs to be entered manually; under standard conditions The irradiance is a constant 1kWh/m ² ; the comprehensive efficiency coefficient is a correction coefficient after considering the influence of various factors, including: 1) the correction coefficient of the type of photovoltaic module, 2) the correction coefficient of the inclination angle and azimuth angle of the photovoltaic square array, 3) Availability rate of photovoltaic power generation system, 4) Illumination utilization rate, 5) Inverter efficiency, 6) Collector line, step-up transformer loss, 7) Photovoltaic module surface pollution correction factor, 8) Photovoltaic module conversion efficiency correction factor, The value of the comprehensive efficiency coefficient is between 75% and 85%, which needs to be entered manually.

In the method, the transformer in step S2 saves electric power, that is, the annual energy saving Δ(ΔE) of the distribution transformer is replaced, which is calculated according to the following formula:

Δ(ΔE)=(ΔE-ΔE ₁ )×T _T (1)

In the formula: ΔE is the comprehensive power loss of the transformer before transformation, ΔE ₁ is the comprehensive power loss of the transformer after transformation, and T _T is the annual operation time of the transformer equipment.

According to the method, the calculation formula of the energy efficiency improvement and transformation of the smart substation in step S3 to save the power consumption ΔA _e of the substation is:

ΔA _e =A _r -A _a (2)

In the formula, A _r is the power consumption of the lighting project during the statistical reporting period, and A _a is the calibration power consumption of the lighting project;

The calculation formula of A _r is:

${\mathrm{<span\; class="notranslate">\; A</span>}}_{\mathrm{<span\; class="notranslate">\; r</span>}}<span\; class="notranslate">\; =</span>\underset{\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; no</span>}}{<span\; class="notranslate">\; \&Sigma;</span>}}{\mathrm{<span\; class="notranslate">\; Q</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}<span\; class="notranslate">\; \&times;</span>{\mathrm{<span\; class="notranslate">\; P</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}<span\; class="notranslate">\; \&times;</span>{\mathrm{<span\; class="notranslate">\; T</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}<span\; class="notranslate">\; \&times;</span>{\mathrm{<span\; class="notranslate">\; \&alpha;</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}<span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 3</span>}<span\; class="notranslate">\; )</span>$

In the formula, Q _i is the number of lamps of type _i in the statistical report period, that is, the number of lamps of a certain type before transformation; Lamp power; T _i is the average running time of lamps of type i in the statistical reporting period, that is, the running time of lamps and lanterns before transformation; i is the model number of lamps before transformation, which is a natural number; n is the number of lamp models before transformation; α _i is During the statistical reporting period, the power adjustment coefficient of type i lamps, that is, the power adjustment coefficient of lamps before transformation, 0<α _i ≤1, if there is no control system α _i =1;

The calculation formula of A _a is:

${\mathrm{<span\; class="notranslate">\; A</span>}}_{\mathrm{<span\; class="notranslate">\; a</span>}}<span\; class="notranslate">\; =</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; +</span>{\mathrm{<span\; class="notranslate">\; A</span>}}_{\mathrm{<span\; class="notranslate">\; m</span>}}<span\; class="notranslate">\; )</span>\underset{\mathrm{<span\; class="notranslate">\; j</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; m</span>}}{<span\; class="notranslate">\; \&Sigma;</span>}}{\mathrm{<span\; class="notranslate">\; Q</span>}}_{\mathrm{<span\; class="notranslate">\; j</span>}}<span\; class="notranslate">\; \&times;</span>{\mathrm{<span\; class="notranslate">\; P</span>}}_{\mathrm{<span\; class="notranslate">\; j</span>}}<span\; class="notranslate">\; \&times;</span>{\mathrm{<span\; class="notranslate">\; T</span>}}_{\mathrm{<span\; class="notranslate">\; j</span>}}<span\; class="notranslate">\; \&times;</span>{\mathrm{<span\; class="notranslate">\; \&alpha;</span>}}_{\mathrm{<span\; class="notranslate">\; j</span>}}<span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 4</span>}<span\; class="notranslate">\; )</span>$

In the formula, Q _j is the number of lamps of type j in the base period, that is, the number of lamps of a certain type after transformation; P _j is the average value or nominal input power of the sampled measured power of lamps of type j in the base period, that is, the unit power of lamps after transformation; T _j is the average running time of lamps of type j in the base period, that is, the running time of lamps and lanterns before transformation; j is the model of lamps after transformation; m is the number of models of lamps after transformation; αj is the power adjustment coefficient of type _j lamps in the base period , that is, the power adjustment coefficient of the lamp after transformation, 0<α _j ≤1, if there is no control system α _j =1; A _m is the power consumption adjustment coefficient for the calibration of the lighting project of the lamp, and its value can be positive or negative;

The formula for calculating A _m is:

${\mathrm{<span\; class="notranslate">\; A</span>}}_{\mathrm{<span\; class="notranslate">\; m</span>}}<span\; class="notranslate">\; =</span>\frac{\underset{\mathrm{<span\; class="notranslate">\; q</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; k</span>}}{<span\; class="notranslate">\; \&Sigma;</span>}}{\mathrm{<span\; class="notranslate">\; f</span>}}_{\mathrm{<span\; class="notranslate">\; v</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; r</span>}\mathrm{<span\; class="notranslate">\; q</span>}}<span\; class="notranslate">\; -</span>\underset{\mathrm{<span\; class="notranslate">\; q</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; k</span>}}{<span\; class="notranslate">\; \&Sigma;</span>}}{\mathrm{<span\; class="notranslate">\; E.</span>}}_{\mathrm{<span\; class="notranslate">\; v</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; b</span>}\mathrm{<span\; class="notranslate">\; q</span>}}}{\underset{\mathrm{<span\; class="notranslate">\; q</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; k</span>}}{<span\; class="notranslate">\; \&Sigma;</span>}}{\mathrm{<span\; class="notranslate">\; f</span>}}_{\mathrm{<span\; class="notranslate">\; v</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; b</span>}\mathrm{<span\; class="notranslate">\; q</span>}}}<span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 5</span>}<span\; class="notranslate">\; )</span>$

In the formula, E _v,rq is the average illuminance of the lamps on the relevant surface, ground or working surface in the q lighting area during the statistical reporting period, that is, the average illuminance of the lamps before the transformation; E _v,bq is the base period, the lamps in q The average illuminance of the relevant surface, ground or working surface in the lighting area, that is, the average illuminance of the lighting after the transformation; q is the serial number of the lighting area; k is the number of lighting calculation areas.

In the method described, in step S4, the energy efficiency improvement of the smart substation is improved and the electricity generated by the newly added renewable energy equipment, that is, the on-grid power generation E _P , is calculated according to the following formula:

${\mathrm{<span\; class="notranslate">\; E.</span>}}_{\mathrm{<span\; class="notranslate">\; p</span>}}<span\; class="notranslate">\; =</span>{\mathrm{<span\; class="notranslate">\; h</span>}}_{\mathrm{<span\; class="notranslate">\; A</span>}}<span\; class="notranslate">\; \&times;</span>\frac{{\mathrm{<span\; class="notranslate">\; P</span>}}_{\mathrm{<span\; class="notranslate">\; A</span>}\mathrm{<span\; class="notranslate">\; Z</span>}}}{{\mathrm{<span\; class="notranslate">\; E.</span>}}_{\mathrm{<span\; class="notranslate">\; the\; s</span>}}}<span\; class="notranslate">\; \&times;</span>\mathrm{<span\; class="notranslate">\; K</span>}<span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 6</span>}<span\; class="notranslate">\; )</span>$

In the formula, H _A is the total solar irradiance on the horizontal plane, P _AZ is the installed capacity of the module, E _s is the irradiance under standard conditions, and K is the comprehensive efficiency coefficient.

In the method described, the calculation method of the smart substation energy efficiency improvement transformation in step S5 to save electric power ΔE _TOTAL is:

ΔE _TOTAL =Δ(ΔE)+ΔA _e +E _P (7).

In the described method, ΔE is calculated according to the following formula:

ΔE＝P ₀ +K _T β ² P _k +K _Q (Q ₀ +K _T β ² Q _k )(8)

Among them, P ₀ is the no-load power loss of the transformer before transformation, K _T is the load fluctuation loss coefficient before transformation, β is the average load coefficient of the transformer before transformation, P _k is the rated load power loss of the transformer before transformation, and K _Q is the reactive power loss before transformation economic equivalent.

In the described method, K _T is calculated according to the following formula:

${\mathrm{<span\; class="notranslate">\; K</span>}}_{\mathrm{<span\; class="notranslate">\; T</span>}}<span\; class="notranslate">\; =</span>{\mathrm{<span\; class="notranslate">\; K</span>}}_{\mathrm{<span\; class="notranslate">\; f</span>}}^{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; =</span>{\mathrm{<span\; class="notranslate">\; T</span>}}_{\mathrm{<span\; class="notranslate">\; T</span>}\mathrm{<span\; class="notranslate">\; 1</span>}}\frac{\underset{\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{{\mathrm{<span\; class="notranslate">\; T</span>}}_{\mathrm{<span\; class="notranslate">\; T</span>}\mathrm{<span\; class="notranslate">\; 1</span>}}}{<span\; class="notranslate">\; \&Sigma;</span>}}{\mathrm{<span\; class="notranslate">\; A</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}^{\mathrm{<span\; class="notranslate">\; 2</span>}}}{\underset{\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{{\mathrm{<span\; class="notranslate">\; T</span>}}_{\mathrm{<span\; class="notranslate">\; T</span>}\mathrm{<span\; class="notranslate">\; 1</span>}}}{<span\; class="notranslate">\; \&Sigma;</span>}}{\mathrm{<span\; class="notranslate">\; A</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}}<span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 9</span>}<span\; class="notranslate">\; )</span>$

In the formula, K _f is the shape coefficient, T _T1 is the time of the base period before the transformation, A _i is the electricity recorded per hour before the transformation, and i is the time sequence number;

When A _i cannot be obtained, the specific methods of looking up the table include:

The active power Wp within T hours is obtained from the ammeter, and the average active power P=Wp/T is calculated for T hours; the transformer rated capacity S is obtained from the transformer nameplate parameters, and the active load rate γ _TP =P/S for T hours; The meter obtains the reactive power Wq in T hours, and calculates the average reactive power Q=Wq/T in T hours, then the average power factor in T hours The T-hour load curve is obtained from the smart meter, the active power P _m and the reactive power Q _m are obtained at the maximum active load point, and the number of hours T _m with 95% or more of the maximum load within T hours is obtained from the load curve, then the maximum load time power factor Active load rate γ _TP and average power factor for T hours and power factor at maximum load Calculate the apparent load rate γ _T , which is the percentage of the ratio of the average apparent power to the maximum apparent power of the load in T hours: In the formula: γ _T is the apparent load rate in T hours, the unit is %; according to the number of hours T _m with more than 95% of the maximum load within T hours, it needs to be entered manually to calculate the percentage of the maximum load operating time T _m %, That is, the percentage of the time when more than 95% of the maximum load occurs within T hours; In the formula: T _m % is the percentage of the most loaded operating time, the unit is %; according to the values of γ _T and T _m %, the load fluctuation loss coefficient K _T is obtained by looking up the table according to "GB/T13462-2008".

In the described method, β is calculated according to the following formula:

In the formula, S is the average output apparent power of the transformer before transformation, P is the average output active power of the transformer before transformation, and cosφ is the average power factor of the load side of the transformer before transformation.

In the method described above, when calculating ΔE ₁ , the parameters before transformation in any one of the formulas (5) to (7) are replaced with corresponding parameters after transformation to obtain the value of ΔE ₁ .

Advantages of the present invention: the present invention is based on the calculation and derivation of the main links in the process of energy efficiency upgrading and transformation of smart substations, including the energy saving of power transformers, the power saving of power transformation in stations, and the power generation of new energy access, to obtain the energy efficiency of smart substations Improve the energy saving of transformation, provide strong data support for the energy efficiency upgrading and transformation of smart substations, and provide theoretical basis and practical guidance for the formulation of energy efficiency improvement and transformation plans for smart substations.

Description of drawings

Fig. 1 is a flowchart of the present invention.

detailed description

The invention relates to a method for calculating energy saving in energy efficiency improvement and transformation of intelligent substations. This method starts from the energy efficiency improvement and transformation measures of smart substations, and calculates and deduces the energy efficiency of smart substations by calculating and deriving the energy saving of power transformer transformation, power saving of station power transformation, and electricity generated by new energy access during the process of energy efficiency improvement and transformation of smart substations. Improve the energy saving of transformation. This method is novel in theory. Compared with traditional substation energy efficiency improvement and transformation, the electricity saved by new energy access is included in the substation energy saving. A new way of thinking and method. The invention helps power grid enterprises to accurately grasp the power saving situation of energy efficiency improvement and transformation of smart substations, and can comprehensively predict and obtain the effect of energy efficiency improvement and transformation of smart substations.

The present invention calculates and deduces the energy saving of the energy efficiency improvement of the smart substation through the calculation and derivation of the main power equipment (such as the power transformer) transformation, the power saving of the station power transformation, and the power generation of the new energy access in the process of upgrading and transforming the energy efficiency of the smart substation. quantity. A method for calculating energy saving in energy efficiency improvement and transformation of smart substations, mainly including the following steps:

S1) Collect information on energy efficiency improvement and transformation of smart substations;

S2) Calculate the energy efficiency of the smart substation to improve and transform the transformer to save electricity;

S3) Calculate the energy efficiency improvement and transformation of smart substations to save power consumption;

S4) Calculate the electricity generated by the new renewable energy equipment (photovoltaic equipment) in the energy efficiency improvement of the smart substation;

S5) According to the annual operation status of the smart substation, calculate the energy efficiency improvement and transformation of the smart substation to save electricity.

In the method, the parameters in step S1 include transformer no-load power loss before and after smart substation energy efficiency improvement transformation, load fluctuation coefficient, transformer average load coefficient, transformer rated load power loss, reactive power economic equivalent, transformer no-load excitation power, transformer rated Load magnetic flux leakage power, number of lamps and lanterns before transformation of station electric lighting system, unit lamp power before transformation, annual working hours, number of lamps and lanterns after transformation, unit power of lamps and lanterns after transformation, power adjustment factor of LED lights, total solar radiation on the horizontal plane of photovoltaic equipment amount, installed capacity of photovoltaic modules, and comprehensive efficiency coefficient.

In the described method, the calculation formula of the power saving of the transformer in the step S2 is:

Δ(ΔE)=(ΔE-ΔE ₁ )×T _T (11)

In the formula: Δ(ΔE) is the annual energy saving of replacing the distribution transformer, the unit is kilowatt-hour (kWh), ΔE is the comprehensive power loss of the transformer before transformation, the unit is kilowatt (kW), ΔE ₁ is the comprehensive power loss of the transformer after transformation, The unit is kilowatt (kW), T is the annual running time of the transformer, and the unit is hour (h).

In the described method, the calculation formula of the smart substation energy efficiency improvement and transformation saving station power consumption in step S3 is:

ΔA _e =A _r -A _a (12)

In the formula, ΔA _e is the power consumption of smart substation energy efficiency improvement and transformation saving station, _Ar is the power consumption of LED lighting project statistical report period, the unit is kilowatt-hour (kWh), A _a is the calibration power consumption of LED lighting project, the unit is kW hour (kWh), ΔA _e is the node quantity of the LED lighting project, and the unit is kilowatt-hour (kWh).

The formula for calculating power consumption during the statistical reporting period of LED lighting projects is:

${\mathrm{<span\; class="notranslate">\; A</span>}}_{\mathrm{<span\; class="notranslate">\; r</span>}}<span\; class="notranslate">\; =</span>\underset{\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; no</span>}}{<span\; class="notranslate">\; \&Sigma;</span>}}{\mathrm{<span\; class="notranslate">\; Q</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}<span\; class="notranslate">\; \&times;</span>{\mathrm{<span\; class="notranslate">\; P</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}<span\; class="notranslate">\; \&times;</span>{\mathrm{<span\; class="notranslate">\; T</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}<span\; class="notranslate">\; \&times;</span>{\mathrm{<span\; class="notranslate">\; \&alpha;</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}<span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 13</span>}<span\; class="notranslate">\; )</span>$

In the formula, Q _i is the number of LED lamps of type i in the statistical reporting period, and the unit is pcs; P _i is the average value or nominal input power of the sampled measured power of LED lamps of type i in the statistical reporting period, and the unit is kilowatts (kW) , T _i is the average running time of LED lights of type i in the statistical reporting period, the unit is hours (h), i is the model of LED lights, n is the number of LED light models, the unit is species, α _i is the statistical reporting period, The power adjustment coefficient of the i-type LED lamp, 0<α _i ≤1; if there is no control system α _i =1.

The calibration power consumption of LED lighting projects can be calculated according to the formula:

${\mathrm{<span\; class="notranslate">\; A</span>}}_{\mathrm{<span\; class="notranslate">\; a</span>}}<span\; class="notranslate">\; =</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; +</span>{\mathrm{<span\; class="notranslate">\; A</span>}}_{\mathrm{<span\; class="notranslate">\; m</span>}}<span\; class="notranslate">\; )</span>\underset{\mathrm{<span\; class="notranslate">\; j</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; m</span>}}{<span\; class="notranslate">\; \&Sigma;</span>}}{\mathrm{<span\; class="notranslate">\; Q</span>}}_{\mathrm{<span\; class="notranslate">\; j</span>}}<span\; class="notranslate">\; \&times;</span>{\mathrm{<span\; class="notranslate">\; P</span>}}_{\mathrm{<span\; class="notranslate">\; j</span>}}<span\; class="notranslate">\; \&times;</span>{\mathrm{<span\; class="notranslate">\; T</span>}}_{\mathrm{<span\; class="notranslate">\; j</span>}}<span\; class="notranslate">\; \&times;</span>{\mathrm{<span\; class="notranslate">\; \&alpha;</span>}}_{\mathrm{<span\; class="notranslate">\; j</span>}}<span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 14</span>}<span\; class="notranslate">\; )</span>$

In the formula, Q _j is the number of LEDs of type j in the base period, and the unit is pcs; P _j is the average value or nominal input power of the sampled measured power of LED lamps of type j in the base period, and the unit is kilowatts (kW), and T _j is The average running time of j type LED lamps in the base period, the unit is hours (h), j is the lighting model replaced by LED, m is the number of lighting models replaced by LED, the unit is species, α _j is the base period, j type LED The power adjustment coefficient of the lamp, 0<α _j ≤1; if there is no control system α _j =1, A _m is the power consumption adjustment coefficient for LED lighting project calibration, and its value can be positive or negative.

The formula for calculating the power consumption adjustment factor for LED lighting project calibration is:

${\mathrm{<span\; class="notranslate">\; A</span>}}_{\mathrm{<span\; class="notranslate">\; m</span>}}<span\; class="notranslate">\; =</span>\frac{\underset{\mathrm{<span\; class="notranslate">\; q</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; k</span>}}{<span\; class="notranslate">\; \&Sigma;</span>}}{\mathrm{<span\; class="notranslate">\; E.</span>}}_{\mathrm{<span\; class="notranslate">\; v</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; r</span>}\mathrm{<span\; class="notranslate">\; q</span>}}<span\; class="notranslate">\; -</span>\underset{\mathrm{<span\; class="notranslate">\; q</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; k</span>}}{<span\; class="notranslate">\; \&Sigma;</span>}}{\mathrm{<span\; class="notranslate">\; E.</span>}}_{\mathrm{<span\; class="notranslate">\; v</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; b</span>}\mathrm{<span\; class="notranslate">\; q</span>}}}{\underset{\mathrm{<span\; class="notranslate">\; q</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; k</span>}}{<span\; class="notranslate">\; \&Sigma;</span>}}{\mathrm{<span\; class="notranslate">\; E.</span>}}_{\mathrm{<span\; class="notranslate">\; v</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; b</span>}\mathrm{<span\; class="notranslate">\; q</span>}}}<span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 15</span>}<span\; class="notranslate">\; )</span>$

In the formula, E _v,rq is the average illuminance of LED lighting on the relevant surface, ground or working surface in the q lighting area during the statistical reporting period, the unit is lux (lx), E _v,bq is the base period, replaced by LED The average illuminance of the lighting on the relevant surface, ground or work surface in the q lighting area, the unit is lux (lx), q is the lighting area, and k is the number of calculation areas. Under the premise that the illuminance and lighting power density comply with the provisions of GB50034, GB50582, GJJ45 and JGJ/T163, relevant parties in the evaluation can consider A _m as appropriate. Approved by relevant parties, A _m is negligible.

In the method described, the formula for calculating the electricity generated by the newly added renewable energy equipment (photovoltaic equipment) in step S4 is as follows:

${\mathrm{<span\; class="notranslate">\; E.</span>}}_{\mathrm{<span\; class="notranslate">\; p</span>}}<span\; class="notranslate">\; =</span>{\mathrm{<span\; class="notranslate">\; h</span>}}_{\mathrm{<span\; class="notranslate">\; A</span>}}<span\; class="notranslate">\; \&times;</span>\frac{{\mathrm{<span\; class="notranslate">\; P</span>}}_{\mathrm{<span\; class="notranslate">\; A</span>}\mathrm{<span\; class="notranslate">\; Z</span>}}}{{\mathrm{<span\; class="notranslate">\; E.</span>}}_{\mathrm{<span\; class="notranslate">\; the\; s</span>}}}<span\; class="notranslate">\; \&times;</span>\mathrm{<span\; class="notranslate">\; K</span>}<span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 16</span>}<span\; class="notranslate">\; )</span>$

In the formula, H _A is the total solar radiation on the horizontal surface (kW h/m ² ), P _AZ is the installed capacity of modules (kWp), E _P is the grid-connected power generation (kW h), and E _s is the Irradiance (constant=1kW·h/m ² ), K is the comprehensive efficiency coefficient.

In the method described, the calculation method for the overall saving of electric power in the energy efficiency improvement of the smart substation in step S5 is as follows:

ΔE _TOTAL = Δ(ΔE _T )+ΔE _L +E _P (17)

In the formula, ΔE _TOTAL is the energy efficiency improvement and transformation of smart substations to save electricity.

Below in conjunction with accompanying drawing and example further describe the present invention in detail.

The technical scheme that the present invention takes comprises the following steps:

S1) Collect information on energy efficiency improvement and transformation of smart substations, mainly including transformation of transformers, transformation of station power lighting and new energy access parameters;

S2) Calculate the energy efficiency of the smart substation to improve and transform the transformer to save electricity;

S3) Calculate the energy efficiency improvement and transformation of smart substations to save power consumption;

S4) Calculate the electricity generated by the new renewable energy equipment for energy efficiency improvement and transformation of smart substations;

S5) According to the annual operation status of the smart substation, calculate the overall energy saving of the smart substation for energy efficiency improvement and transformation.

1. Collect information on energy efficiency improvement and transformation of smart substations

1) Statistical relevant technical data to lay the foundation for energy saving calculation, mainly including the following information:

Transformer no-load power loss, load fluctuation coefficient, transformer average load factor, transformer rated load power loss, reactive economic equivalent, transformer no-load excitation power, transformer rated load flux leakage power before and after smart substation energy efficiency improvement and transformation.

2) The number of lamp sets before the transformation of the station electric lighting system, the unit lamp power before the transformation, the annual working time, the number of lamp sets after the transformation, the unit lamp power after the transformation, the annual working time, and the power adjustment factor of the LED lamp.

3) The total solar radiation on the horizontal plane of the photovoltaic equipment, and the comprehensive efficiency coefficient.

2. Calculating the energy efficiency improvement of smart substations and transforming transformers to save electricity

ΔE=P ₀ +K _T β ² P _k +K _Q (Q ₀ +K _T β ² Q _k )(18)

In the formula, ΔE is the comprehensive power loss of the transformer, the unit is kilowatt (kW), P ₀ is the no-load power loss of the transformer, the unit is kilowatt (kW), K _T is the load fluctuation loss coefficient, β is the average load factor of the transformer, P _k is the rated load power loss of the transformer, the unit is kilowatts (kW), K _Q is the reactive economic equivalent, the unit is kilowatts per kilovar (kW/kvar), Q ₀ is the no-load excitation power of the transformer, the unit is kilovars (kvar) , Q _k is the rated load flux leakage power of the transformer, in kilovar (kvar).

${\mathrm{<span\; class="notranslate">\; K</span>}}_{\mathrm{<span\; class="notranslate">\; T</span>}}<span\; class="notranslate">\; =</span>{\mathrm{<span\; class="notranslate">\; K</span>}}_{\mathrm{<span\; class="notranslate">\; f</span>}}^{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; =</span>{\mathrm{<span\; class="notranslate">\; T</span>}}_{\mathrm{<span\; class="notranslate">\; T</span>}\mathrm{<span\; class="notranslate">\; 1</span>}}\frac{\underset{\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{{\mathrm{<span\; class="notranslate">\; T</span>}}_{\mathrm{<span\; class="notranslate">\; T</span>}\mathrm{<span\; class="notranslate">\; 1</span>}}}{<span\; class="notranslate">\; \&Sigma;</span>}}{\mathrm{<span\; class="notranslate">\; A</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}^{\mathrm{<span\; class="notranslate">\; 2</span>}}}{\underset{\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{{\mathrm{<span\; class="notranslate">\; T</span>}}_{\mathrm{<span\; class="notranslate">\; T</span>}\mathrm{<span\; class="notranslate">\; 1</span>}}}{<span\; class="notranslate">\; \&Sigma;</span>}}{\mathrm{<span\; class="notranslate">\; A</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}}<span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 19</span>}<span\; class="notranslate">\; )</span>$

In the formula, T _T1 is the time of the base period (working representative day, monthly working day or annual working day), the unit is hour (h), A _i is the electricity recorded per hour, the unit is kilowatt-hour (kWh);

Δ(ΔE)=(ΔE-ΔE ₁ )×T _T (20)

In the formula, Δ(ΔE) is the annual energy saving of replacing the distribution transformer, the unit is kilowatt-hour (kWh), ΔE is the comprehensive power loss of the transformer before transformation, the unit is kilowatt (kW), ΔE ₁ is the comprehensive power loss of the transformer after transformation, The unit is kilowatt (kW), and T _T is the annual running time of the transformer, and the unit is hour (h).

In the formula, S is the apparent power of the average output of the transformer in kilovolt-amperes (kVA), S _N is the rated capacity of the transformer in kilovolt-amperes (kVA), and P is the average output active power of the transformer in kilowatts (kW), cosφ is the average power factor of the transformer load side.

3. Calculation of energy efficiency improvement and transformation of smart substations to save power consumption of substations

ΔA _e =A _r -A _a (22)

In the formula, ΔA _e is the power consumption of smart substation energy efficiency improvement and transformation saving station, _Ar is the power consumption of LED lighting project statistical report period, the unit is kilowatt-hour (kWh), A _a is the calibration power consumption of LED lighting project, the unit is kW hour (kWh), ΔA _e is the node quantity of the LED lighting project, and the unit is kilowatt-hour (kWh).

The formula for calculating power consumption during the statistical reporting period of LED lighting projects is:

${\mathrm{<span\; class="notranslate">\; A</span>}}_{\mathrm{<span\; class="notranslate">\; r</span>}}<span\; class="notranslate">\; =</span>\underset{\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; no</span>}}{<span\; class="notranslate">\; \&Sigma;</span>}}{\mathrm{<span\; class="notranslate">\; Q</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}<span\; class="notranslate">\; \&times;</span>{\mathrm{<span\; class="notranslate">\; P</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}<span\; class="notranslate">\; \&times;</span>{\mathrm{<span\; class="notranslate">\; T</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}<span\; class="notranslate">\; \&times;</span>{\mathrm{<span\; class="notranslate">\; \&alpha;</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}<span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; twenty\; three</span>}<span\; class="notranslate">\; )</span>$

In the formula, Q _i is the number of LED lamps of type i in the statistical reporting period, and the unit is pcs; P _i is the average value or nominal input power of the sampled measured power of LED lamps of type i in the statistical reporting period, and the unit is kilowatts (kW) , T _i is the average running time of LED lights of type i in the statistical reporting period, the unit is hours (h), i is the model of LED lights, n is the number of LED light models, the unit is species, α _i is the statistical reporting period, The power adjustment coefficient of the i-type LED lamp, 0<α _i ≤1; if there is no control system α _i =1.

The calibration power consumption of LED lighting projects can be calculated according to the formula:

${\mathrm{<span\; class="notranslate">\; A</span>}}_{\mathrm{<span\; class="notranslate">\; a</span>}}<span\; class="notranslate">\; =</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; +</span>{\mathrm{<span\; class="notranslate">\; A</span>}}_{\mathrm{<span\; class="notranslate">\; m</span>}}<span\; class="notranslate">\; )</span>\underset{\mathrm{<span\; class="notranslate">\; j</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; m</span>}}{<span\; class="notranslate">\; \&Sigma;</span>}}{\mathrm{<span\; class="notranslate">\; Q</span>}}_{\mathrm{<span\; class="notranslate">\; j</span>}}<span\; class="notranslate">\; \&times;</span>{\mathrm{<span\; class="notranslate">\; P</span>}}_{\mathrm{<span\; class="notranslate">\; j</span>}}<span\; class="notranslate">\; \&times;</span>{\mathrm{<span\; class="notranslate">\; T</span>}}_{\mathrm{<span\; class="notranslate">\; j</span>}}<span\; class="notranslate">\; \&times;</span>{\mathrm{<span\; class="notranslate">\; \&alpha;</span>}}_{\mathrm{<span\; class="notranslate">\; j</span>}}<span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; twenty\; four</span>}<span\; class="notranslate">\; )</span>$

In the formula, Q _j is the number of LEDs of type j in the base period, and the unit is pcs; P _j is the average value or nominal input power of the sampled measured power of LED lamps of type j in the base period, and the unit is kilowatts (kW), and T _j is The average running time of j type LED lamps in the base period, the unit is hours (h), j is the lighting model replaced by LED, m is the number of lighting models replaced by LED, the unit is species, α _j is the base period, j type LED The power adjustment coefficient of the lamp, 0<α _j ≤1; if there is no control system α _j =1, A _m is the power consumption adjustment coefficient for LED lighting project calibration, and its value can be positive or negative.

The formula for calculating the power consumption adjustment factor for LED lighting project calibration is:

${\mathrm{<span\; class="notranslate">\; A</span>}}_{\mathrm{<span\; class="notranslate">\; m</span>}}<span\; class="notranslate">\; =</span>\frac{\underset{\mathrm{<span\; class="notranslate">\; q</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; k</span>}}{<span\; class="notranslate">\; \&Sigma;</span>}}{\mathrm{<span\; class="notranslate">\; E.</span>}}_{\mathrm{<span\; class="notranslate">\; v</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; r</span>}\mathrm{<span\; class="notranslate">\; q</span>}}<span\; class="notranslate">\; -</span>\underset{\mathrm{<span\; class="notranslate">\; q</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; k</span>}}{<span\; class="notranslate">\; \&Sigma;</span>}}{\mathrm{<span\; class="notranslate">\; E.</span>}}_{\mathrm{<span\; class="notranslate">\; v</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; b</span>}\mathrm{<span\; class="notranslate">\; q</span>}}}{\underset{\mathrm{<span\; class="notranslate">\; q</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; k</span>}}{<span\; class="notranslate">\; \&Sigma;</span>}}{\mathrm{<span\; class="notranslate">\; E.</span>}}_{\mathrm{<span\; class="notranslate">\; v</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; b</span>}\mathrm{<span\; class="notranslate">\; q</span>}}}<span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 25</span>}<span\; class="notranslate">\; )</span>$

In the formula, E _v,rq is the average illuminance of LED lighting on the relevant surface, ground or working surface in the q lighting area during the statistical reporting period, the unit is lux (lx), E _v,bq is the base period, replaced by LED The average illuminance of the lighting on the relevant surface, ground or work surface in the q lighting area, the unit is lux (lx), q is the lighting area, and k is the number of calculation areas. Under the premise that the illuminance and lighting power density comply with the provisions of GB50034, GB50582, GJJ45 and JGJ/T163, relevant parties in the evaluation can consider A _m as appropriate. Approved by relevant parties, A _m is negligible.

4. Calculation of electricity generated by new renewable energy equipment (photovoltaic equipment) in smart substation energy efficiency improvement and transformation

${\mathrm{<span\; class="notranslate">\; E.</span>}}_{\mathrm{<span\; class="notranslate">\; p</span>}}<span\; class="notranslate">\; =</span>{\mathrm{<span\; class="notranslate">\; h</span>}}_{\mathrm{<span\; class="notranslate">\; A</span>}}<span\; class="notranslate">\; \&times;</span>\frac{{\mathrm{<span\; class="notranslate">\; P</span>}}_{\mathrm{<span\; class="notranslate">\; A</span>}\mathrm{<span\; class="notranslate">\; Z</span>}}}{{\mathrm{<span\; class="notranslate">\; E.</span>}}_{\mathrm{<span\; class="notranslate">\; the\; s</span>}}}<span\; class="notranslate">\; \&times;</span>\mathrm{<span\; class="notranslate">\; K</span>}<span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 26</span>}<span\; class="notranslate">\; )</span>$

In the formula, H _A is the total solar radiation on the horizontal surface (kW h/m ² ), P _AZ is the installed capacity of modules (kWp), E _P is the grid-connected power generation (kW h), and E _s is the Irradiance (constant=1kW·h/m ² ), K is the comprehensive efficiency coefficient. The comprehensive efficiency coefficient K includes: photovoltaic module type correction coefficient, photovoltaic simulation inclination angle, azimuth angle correction coefficient, photovoltaic power generation system availability rate, light utilization rate, inverter efficiency, collector line loss, step-up transformer loss, photovoltaic module surface Pollution correction factor, photovoltaic module conversion efficiency correction factor.

5. According to the annual operation status of the smart substation, calculate the overall energy saving of the smart substation for energy efficiency improvement and renovation

ΔE _TOTAL = Δ(ΔE _T )+ΔE _L +E _P (27)

In the formula, ΔE _TOTAL is the energy efficiency improvement and transformation of smart substations to save electricity.

Claims (10)

1. intelligent substation efficiency Promotion Transformation amount of energy saving computational methods, comprising:

S1) according to intelligent substation efficiency Promotion Transformation information, determine, detect transformer station's parameters;

S2) computational intelligence substation energy efficiency Promotion Transformation transformer conservation of power electricity;

S3) computational intelligence substation energy efficiency Promotion Transformation saving station power consumption;

S4) computational intelligence substation energy efficiency Promotion Transformation increases renewable energy source device newly and produces electricity;

S5) according to intelligent substation operation conditions computational intelligence substation energy efficiency Promotion Transformation conservation of power electricity.

2. method according to claim 1, it is characterized in that: the determined Substation parameters of described step S1 comprises no-load transformer power loss before and after intelligent substation efficiency Promotion Transformation, fluctuation of load loss factor, transformer average load coefficient, transformer nominal load power loss, non-work economic equivalent, no-load transformer exciting power, transformer nominal load leakage field power, stand by light fixture tricks before electric lighting system transformation, unit lamp power before transformation, light fixture tricks after transformation, unit lamp power after transformation, the power regulation factor of light fixture before and after transformation, the running time of fixture, the quantity of light fixture model, the quantity in lighting calculation region, lamp lighting average illumination before and after transformation, the total irradiation of photovoltaic apparatus horizontal plane solar energy, photovoltaic module installed capacity, irradiance under reference condition, overall efficiency coefficient, transformer equipment year running time T _t, need manual entry, time in base period T before transformation _t1, need manual entry,

The method detecting transformer station's parameters comprises: before and after transformation, no-load transformer power loss is nameplate parameter, needs manual entry; Fluctuation of load loss factor can be obtained by calculating, and need provide record electricity per hour, this record electricity is obtained by more than 2.0 grades energy measurement instruments, obtains fluctuation of load loss factor when this record electricity cannot obtain by tabling look-up; Transformer average load coefficient is in certain hour, the ratio of the apparent power that transformer on average exports and transformer rated capacity, and obtain by calculating, the apparent power of transformer is obtained by more than 2.0 grades energy measurement instruments; Transformer nominal load power loss is nameplate parameter; Non-work economic equivalent is by acquisition of tabling look-up;

No-load transformer exciting power Q ₀obtained by calculating, Q ₀=I ₀%S _n× 10 ^-2, wherein I ₀% is no-load current percentage, is transformer nameplate parameter, S _nbeing transformer rated capacity, is transformer nameplate parameter; Transformer nominal load leakage field power Q _kobtained by calculating, Q _k=U _k%S _n× 10 ^-2, wherein U _k% is transformer short-circuit voltage percentage, is transformer nameplate parameter, S _nbeing transformer rated capacity, is transformer nameplate parameter; Stand and transform forward and backward light fixture tricks with electric lighting system and need manual entry; Transforming forward and backward unit lamp power is nominal parameter, needs manual entry; The power regulation factor of light fixture needs manual entry; Before and after transformation, the running time of fixture needs manual entry; The quantity of light fixture model, the quantity in lighting calculation region, before and after transformation, lamp lighting average illumination, needs manual entry; The total irradiation of photovoltaic apparatus horizontal plane solar energy is by acquisition of tabling look-up; Photovoltaic module installed capacity needs manual entry; Irradiance under reference condition is constant 1kWh/m ²; Overall efficiency coefficient, it is the correction factor after considering various factors impact, comprising: 1) photovoltaic module type correction factor, 2) inclination angle of photovoltaic arrays, azimuth correction factor, 3) photovoltaic generating system availability factor, 4) illumination utilance, 5) inverter efficiency, 6) current collection circuit, step-up transformer loss, 7) photovoltaic module surface contamination correction factor, 8) photovoltaic module conversion efficiency correction factor, the value of overall efficiency coefficient, between 75%-85%, needs manual entry.

3. method according to claim 2, is characterized in that: the transformer conservation of power electricity of described step S2, namely changes distribution transformer year amount of electricity saving Δ (Δ E), calculates according to the following formula:

Δ(ΔE)＝(ΔE-ΔE ₁)×T _T(1)

In formula: Δ E is transformer synthesis power loss before transformation, Δ E ₁for transforming rear transformer synthesis power loss, T _tfor running time in transformer equipment year.

4. method according to claim 3, is characterized in that: the intelligent substation efficiency Promotion Transformation saving station power consumption Δ A of step S3 _ecomputing formula be:

ΔA _e＝A _r-A _a(2)

In formula, A _rfor lamp lighting project statistical report phase power consumption, A _afor lamp lighting project calibration power consumption;

A _rcomputing formula is:

$A_r=\underset{i=1}{\overset{n}{\&Sigma;}}{Q}_i\&times;P_i\&times;T_i\&times;{\mathrm{\&alpha;}}_i---\left(3\right)$

In formula, Q _ifor the quantity of i model light fixture in the statistical report phase, i.e. certain model light fixture quantity before transformation; P _ifor measured sample power average value or the nominal input power of i model light fixture in the statistical report phase, i.e. unit lamp power before transformation; T _ifor i model light fixture average operating time in the statistical report phase, i.e. the running time of the front fixture of transformation; I is the model sequence number of light fixture before transformation, is natural number; N is the quantity of light fixture model before transformation; α _ifor in the statistical report phase, the power regulation factor of i model light fixture, the i.e. power regulation factor of the front light fixture of transformation, 0< α _i≤ 1, if there is no control system α _i=1;

A _acomputing formula is:

$A_a=(1+A_m)\underset{j=1}{\overset{m}{\&Sigma;}}{Q}_j\&times;P_j\&times;T_j\&times;{\mathrm{\&alpha;}}_j---\left(4\right)$

In formula, Q _jfor the quantity of j model light fixture in the base period, i.e. certain model light fixture quantity after transformation; P _jfor measured sample power average value or the nominal input power of j model light fixture in the base period, i.e. unit lamp power after transformation; T _jfor j model light fixture average operating time in the base period, i.e. the running time of the front fixture of transformation; J is the model of light fixture after transformation; M is the quantity of light fixture model after transformation; α _jfor in the base period, the power regulation factor of j model light fixture, the i.e. power regulation factor of the rear light fixture of transformation, 0< α _j≤ 1, if there is no control system α _j=1; A _mfor lamp lighting project calibration power consumption regulation coefficient, its value can just can be born;

A _mcomputing formula is:

$A_m=\frac{\underset{q=1}{\overset{k}{\&Sigma;}}{F}_{v,rq}-\underset{q=1}{\overset{k}{\&Sigma;}}{F}_{v,bq}}{\underset{q=1}{\overset{k}{\&Sigma;}}{F}_{v,bq}}---\left(5\right)$

In formula, E _{v, rq}be in the statistical report phase, light fixture about the average illumination in face, ground or the scope of operation, namely transforms front lamp lighting average illumination in q field of illumination; E _{v, bq}be in the base period, light fixture about the average illumination in face, ground or the scope of operation, namely transforms rear lamp lighting average illumination in q field of illumination; Q is field of illumination sequence number; K is the quantity in lighting calculation region.

5. method according to claim 4, is characterized in that: the intelligent substation efficiency Promotion Transformation of step S4 increases renewable energy source device newly and produces electricity, and namely surf the Net energy output E _p, calculate according to the following formula:

$E_p=H_A\&times;\frac{P_{AZ}}{E_s}\&times;K---\left(6\right)$

In formula, H _afor the total irradiation of horizontal plane solar energy, P _aZfor assembly installed capacity, E _sfor the irradiance under reference condition, K is overall efficiency coefficient.

6. method according to claim 5, is characterized in that: the intelligent substation efficiency Promotion Transformation conservation of power electricity Δ E of step S5 _tOTALcomputational methods are:

ΔE _TOTAL＝Δ(ΔE)+ΔA _e+E _P(7)。

7. method according to claim 3, is characterized in that, Δ E calculates according to the following formula:

ΔE＝P ₀+K _Tβ ²P _k+K _Q(Q ₀+K _Tβ ²Q _k)(8)

Wherein, P ₀for transforming front no-load transformer power loss, K _tfor transforming front fluctuation of load loss factor, β is transformer average load coefficient before transformation, P _kfor transforming front transformer nominal load power loss, K _qfor transforming front non-work economic equivalent.

8. method according to claim 7, is characterized in that, K _tcalculate according to the following formula:

$K_T=K_f^2=T_{T1}\frac{\underset{i=1}{\overset{T_{T1}}{\&Sigma;}}{A}_i^2}{\underset{i=1}{\overset{T_{T1}}{\&Sigma;}}{A}_i}---\left(9\right)$

In formula, K _ffor form factor, T _t1for transforming the front time in base period, A _ifor transforming the electricity of front record per hour, i is time sequence number;

Work as A _iwhen cannot obtain, the concrete grammar of tabling look-up comprises:

Obtain the active energy Wp in T hour by ammeter, calculate the average active power P=Wp/T of T hour; Transformer rated capacity S is obtained, then the burden with power rate γ of T hour by transformer nameplate parameter _tP=P/S; Obtain the capacity of idle power Wq in T hour by ammeter, calculate the average reactive power Q=Wq/T of T hour, then T hourly average power factor obtain T hour load curve by intelligent electric meter, draw active-power P at maximum burden with power point _mand reactive power Q _m, obtain by load curve the hourage T occurring more than 95% maximum load within T hour _m, then busy hour power factor with the burden with power rate γ of T hour _tP, average power factor with busy hour power factor calculate apparent load rate γ _t, i.e. the percentage of the average apparent power of load in T hour and the ratio of maximum apparent power: in formula: γ _tfor the apparent load rate of T hour, unit was %; According to the hourage T occurring more than 95% maximum load in T hour _m, need manual entry, calculate the percentage T of maximum load running time _m, namely in T hour, there is the percentage shared by the time of the maximum load of more than 95% in %; in formula: T _m% is most bringing onto load percentage running time, and unit is %; According to γ _tand T _mthe value of %, then table look-up according to " GB/T13462-2008 " and obtain fluctuation of load loss factor K _t.

9. method according to claim 8, is characterized in that, β calculates according to the following formula:

In formula, S is the apparent power that before transformation, transformer on average exports, and P is the active power that before transformation, transformer on average exports, and cos φ is transformer load side average power factor before transformation.

10. the method according to any one of claim 7 ~ 9, is characterized in that: calculate Δ E ₁time, after the parameter before the transformation any one of formula (5) ~ (7) being replaced with transformation, corresponding parameter, namely obtains Δ E ₁value.