KR101493264B1 - a control method for the Regulating Energy and system for that - Google Patents

Abstract

The present invention relates to an energy equalization control method and system for reducing energy costs. More specifically, expense expenditure according to the energy use of the building is exponentially indexed according to the average usage fee, and the current real-time energy is controlled so as to converge to the reference index. Real-time calculation of energy costs according to real-time power consumption of buildings or facilities, in order to reduce energy costs in environment based on day and night differential tariff, Smart Grid real-time plan plan and equally contracted power plan plan environment; Comparing the energy cost with a predetermined energy cost reference value band in real time to determine an exponent; And controlling the amount of power consumption of the building or facility so that the energy cost follows the determined index when the energy cost exceeds or falls below the energy cost reference value band as a result of the comparison, Wherein the exponent is determined for each unit building or unit facility to be controlled and is calculated according to a predetermined prediction algorithm to represent the control step in which the calculated energy cost corresponds to the energy cost reference value band And is a digitized information.

Description

[0001] The present invention relates to a method and system for energy equalization for reducing energy costs,

The present invention relates to an energy equalization control method and system for reducing energy costs. More specifically, it provides energy equalization control to reduce energy costs in a Smart Grid-based Real Time Price and a Contact Price for the Regulating Energy environment. The present invention relates to a method and a system, and a reference setting method for the same.

Recently, Smart Grid, which is the next generation intelligent power grid that integrates information technology into existing power grids, is being legislated. Therefore, the application of real-time power grids based on smart grids is under consideration.

In addition, as the paradigm shifts from the electric power plan that supports the energy consumption according to the production incentive policy to the electric power plan that is the regulation type of the electric power cost linked in the recent electric power plan, the real time plan (PTR) (TOU), and a rate plan (CPP) that charges a fixed number of times and a certain amount of time during a surge in power tariffs. The purpose of these tariffs is to reduce energy consumption while simultaneously controlling energy consumption , It is aimed to efficiently control surplus power generated by green energy sources such as solar power or wind power, and energy sources having low production costs such as nuclear power or coal power.

In particular, in the case of the Republic of Korea, the total reserve capacity is within 5% of the total power generation capacity, and it is not possible to increase the domestic power plant indefinitely in order to solve the energy peak load during the summer or winter season. Therefore, in Korea, LPG (72%), which is easy to stop and operate, is being developed as an expensive raw material such as heavy oil for system marginal price (SMP) for power supply of peak power. If the base load can be raised to transfer the energy demand of such peak power to nuclear power generation and coal power generation which generate high power at low cost, the energy import cost is reduced and the high cost power plant for peak power supply does not need to be increased The conclusion is made.

Therefore, current energy management policies at the national level not only lead to lowering the existing peak power, but also raising the base load above a certain level will reduce energy imports and lower energy production costs in the whole of Korea .

Currently, energy management policies at the national level include existing real-time pricing schemes (PRTs), rate plans (TOUs) that charge predetermined fees by time of day, rate plans (CPPs) And to implement a differentiated electricity pricing model (Contact Price for the Regulating Energy). Equal Load Contract Electricity plan is a contract to contract energy cost at a low price under the condition that maximum power consumption and minimum power consumption maintain constant load.

However, if the same peak control and real-time charge-based optimal control or demand control are maintained under the uniform load contract power plan, the total amount of energy consumption can be reduced overall, but it is difficult to keep the energy consumption constant, There is a problem that it is difficult to perform efficiently.

SUMMARY OF THE INVENTION Accordingly, it is an object of the present invention to provide an energy uniformity control method considering a base load in a smart grid-based uniform contract or real-time power plan environment.

In addition, an object of the present invention is to provide an energy equalization control method for reducing energy cost rather than reducing energy consumption by evenly adjusting the amount of power consumption based on the total energy amount so as to converge to the optimum energy consumption cost, .

In addition, the present invention is based on the existing real-time plan (RTP) based on the energy management problem in the case where the ice storage energy storage is performed when the electric power charge is low, The problem of increased energy expenditure,

Especially, in case the building is used for a specific purpose or reason (for example, in the case of a telecom company, the use of communication data in the middle of the night due to the Cheonan hijacking in 2010, Such as World Cup games, etc., when the limit power is reached, it is intended to prevent the problem that the inexpensive S / G charge causes the peak power to be exceeded.

The present invention is also applicable to a case where the distribution of important loads that can not be controlled in a load in a specific purpose building (for example, IT server and IDC) is concentrated at a certain time period, Thereby preventing problems.

According to another aspect of the present invention, there is provided a method of controlling energy consumption for reducing energy costs, the method comprising the steps of: (a) calculating energy costs according to real-time power consumption of buildings or facilities in real time; (b) comparing the energy cost with a predetermined energy cost reference value band (energy cost expenditure allowable width) in real time to determine as an exponent; And (c) if the energy cost exceeds or falls below the energy cost reference value band as a result of the comparison, the amount of power consumption of the building or facility so that the energy cost follows the determined index, As shown in FIG.

In this case, the index is determined for each unit building or unit facility to be controlled, and the current energy cost calculated in the step (a) is determined based on the energy cost reference value band, (E.g., purge, chaos, reasoning, etc.).

The step (b) of the energy equalization control method according to an embodiment of the present invention may further include: calculating an average daily use power amount in the building or facility; Determining an air conditioner load power increase predicted according to outdoor air temperature by considering a load variable due to outdoor air temperature through weather prediction; And determining the index by reflecting the real-time energy charge on the average used electric energy amount reflecting the increase in the load of the air conditioning equipment. That is, it is possible to determine that the energy cost to be used is converged within a predetermined range of the reference value band from the energy cost reference value by setting the average used power amount as a reference and subdividing the exceeding step.

Meanwhile, the step (c) of the energy equalization control method according to an embodiment of the present invention may further include a step of, when the energy cost exceeds the energy cost reference value band, A step of sequentially controlling a plurality of loads, a power storage device, or a power generation device in a building or a facility to reduce the energy cost to converge to the energy cost reference value.

Alternatively, the step (c) may include: when the energy cost is less than the energy cost reference value band, a plurality of loads in the building or facility, a power storage device, or a power generation And sequentially increasing the energy cost to converge to the energy cost reference value.

At this time, the energy uniformity control method according to an embodiment of the present invention may further include feedback transmission of sequential control results for each load according to the control object in the step (c).

In addition, the energy equalization control method according to an embodiment of the present invention is a method of controlling energy equalization according to an energy supply charge, an amount of energy used by the building or a facility, energy according to an amount of power used in the building or facility, Cost of the energy information image on one side of the display unit.

According to an embodiment of the present invention, there is provided an energy equalization control system for reducing energy cost, comprising: an energy cost calculating unit for calculating an energy cost in real time by reflecting an energy supply fee to a power consumption amount of a building or a facility; ; An energy index determination unit for comparing the energy cost with a predetermined energy cost reference value band in real time to determine the energy cost as an index; And a control unit for controlling the power consumption of the building or the facility so that the energy cost follows the determined index when the energy cost is greater than or less than the energy cost reference band as a result of the comparison, A control unit; And an energy management display unit for outputting the energy cost and the comparison result in real time in a predetermined area.

At this time, the energy index determiner may determine the index by reflecting the real-time energy charge to the daily average used electric power amount in the building or the facility reflecting the air conditioner load power increase predicted according to the outdoor air temperature.

The energy index determination unit may determine that the energy cost converges within a predetermined range of the reference value band from the energy cost reference value.

The equalization control unit according to an embodiment of the present invention may be configured such that when the energy cost exceeds the energy cost reference value band, a plurality of loads, power The storage device, or the power generation device so as to reduce the energy cost to converge the energy cost to the energy cost reference value.

Alternatively, if the energy cost is less than the energy cost reference value band, the equalizing control unit may control the plurality of loads, the electric power storage device, or the power generation device in the building or the facility based on the predetermined second control step according to the index And sequentially increase the energy cost to converge to the energy cost reference value.

The energy management display unit according to an embodiment of the present invention may further include an energy management unit for managing energy consumption of the building or facility based on the energy supply charge, the amount of power used by the building or the facility, An energy information image including at least one energy information image may be output to one surface of the display unit.

Preferably, the energy information image may be displayed in a clock form, and the energy costs of the energy supply charge, the amount of electricity used by the building or the facility, Minute, and second hands, and can be output as a bar graph having different lengths in which the area is enlarged to the outside when the display amount increases and the area is reduced to the inside when the display amount decreases.

In the case of an hour hand marked with an energy supply charge, the minute hand indicating the energy consumption is based on 9:00, the second hand indicating the energy cost is based on the hour, the electricity consumption, the total electric power If the rate is lower than the charge rate, if the previous time is higher, it can be marked as a later time to clarify the readability of the current state as an administrator.

Especially, the second hand indicating the energy cost can be used as a graph indicating the index which can be the standard of the current operation through the image, and can show the predetermined index control step for each facility.

It is to be understood that both the foregoing general description and the following detailed description of the present invention are exemplary and explanatory and are intended to provide further explanation of the present invention by those skilled in the art. And can be understood and understood.

According to the embodiment of the present invention, since the energy cost generated in the building or the facility is controlled so as to converge to the standard energy rate that minimizes the energy cost due to the constant power consumption while maintaining the constant power consumption in the building or the facility, The present invention has an effect of providing an optimal energy cost reduction in a real-time plan and an equal-price power plan environment.

According to an embodiment of the present invention, a method of operating a building's energy management system can collect energy consumption due to a special reason for the next day based on a conventional real-time plan (RTP) and the temperature of the next day maximum temperature and the lowest temperature from the meteorological office By predicting this difference, it is possible to reduce the energy cost without inconvenience of the residents by preliminarily calculating the power consumption that can be generated when the outside air temperature is the highest and reflecting it in the even control.

In addition, according to the embodiment of the present invention, it is possible to solve the problem that energy ice axes or energy consumption are rapidly increased at a time when the electric power charge is low due to the effect of the real-time charge rate (RTP), and energy consumption patterns can be made uniform. For example, in case a distribution of important loads among loads is concentrated at a certain time in a specific purpose building (eg, IT server and IDC), the expected power consumption of the next day due to the real- It is possible to prevent the problem of the sudden increase of the electric power rate by controlling the energy consumption by predicting the pattern.

Also, according to the present invention, buildings or electric power facilities are operated simultaneously due to the above-mentioned specific purpose or reason at a time when electric power charges of the S / G plan are low, based on the real-time plan, The rising factor can be solved through the reference value.

1 is a block diagram of an energy equalization control system for energy cost reduction according to a preferred embodiment of the present invention.
2 is a flowchart illustrating an energy consumption control method for reducing energy cost according to an embodiment of the present invention.
3 is a flowchart illustrating another example of a method for controlling energy consumption for reducing energy costs according to an embodiment of the present invention.
4 is a view illustrating an example of a display unit of an energy equalization control system for reducing energy costs according to an embodiment of the present invention.
5 is a view showing another example of a display unit of an energy equalization control system for reducing energy cost according to an embodiment of the present invention.
6 is a diagram showing an example of an outside air temperature predictive function formula used in the energy equalization control system according to an embodiment of the present invention.
7 is a diagram showing an example of a data pattern reflecting a variable in energy energy for energy cost reduction according to an embodiment of the present invention.
8 is a view showing another example of a display unit in an energy equalization control system for energy cost reduction according to an embodiment of the present invention.
FIG. 9 is a diagram illustrating an example of a sequential control scheme for each energy level control system for energy cost reduction according to an embodiment of the present invention.
10 is a diagram for explaining an example of an algorithm for performing uniform control over a controllable load based on an uncontrollable load based on a total load amount in an energy equalization control system according to another embodiment of the present invention.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. In the drawings, the same reference numerals are used to designate the same or similar components throughout the drawings. In the following description of the present invention, a detailed description of known functions and configurations incorporated herein will be omitted when it may make the subject matter of the present invention rather unclear. Further, the preferred embodiments of the present invention will be described below, but it is needless to say that the technical idea of the present invention is not limited thereto and can be practiced by those skilled in the art.

1 is a block diagram of an energy equalization control system for energy cost reduction according to a preferred embodiment of the present invention.

As shown in FIG. 1, an energy equalization control system 100 for reducing energy costs according to a preferred embodiment of the present invention includes a control unit 110, an information unit 120, and a load group 130.

The control unit 110 includes a reference value setting unit 111 for determining a reference value of the energy consumption rate based on the power consumption of facilities installed in a building or a building, a control unit 110 for setting a control priority for buildings or facilities according to an energy cost reference value, An exponent determiner 114 which compares the calculated real time energy cost with a predicted reference value to obtain a real time energy cost for a building or facilities, And an equalizing control unit 115 for uniformly controlling the power consumption energy according to the comparison result in the determining unit 114. [

The reference value setting unit 111 determines a reference band including a certain range of offset based on the reference value and the reference value of the energy charge based on the power consumption of the facilities installed in the building.

The control target setting unit 112 determines the control priority according to the importance of each load in accordance with the energy cost reference value in the building or facilities set by the reference value setting unit 111, and sequentially controls the load And determines a number of control steps according to a predetermined amount of power so that the control can be performed.

The energy cost calculating section 113 calculates real time energy costs by multiplying the real time power consumption in the building or facilities by the real time power charge.

Although not shown in the drawings, the energy cost calculating unit 11a may calculate a plurality of energy sources, such as a fuel cell, a photovoltaic power generator, a wind power generator, a self power generator, Equipment, or ice storage device, and the energy supply price of the selectable energy source through the energy market, so that a specific energy source among the plurality of energy sources possessed by the building or facility (B) , Energy is supplied from the specific energy source to the building or facility (B), and the energy supply charge information of the supplied energy is received through the smart grid network, and the energy according to the power consumption of the building or facility (B) Cost can be calculated in real time.

The exponent determining unit 114 compares the energy cost calculated by the energy cost calculating unit 113 with the reference value predicted by the reference value setting unit 111 and displays the result in exponential or index form. At this time, the energy cost reference value maintains a constant amount of electric power according to the equal load contract power plan for each building or facility to which a uniform load contract power charge scheme (contract price) And may be a value that is calculated in units of years and updated in units of days so that the energy cost due to the maintenance of the constant power amount can be minimized. A detailed description thereof will be described in detail with reference to FIG.

The equalization control unit 115 compares the energy cost calculated in the building or facilities with the reference value and the reference frequency band to determine whether the energy cost in the building or equipment converges to a preset reference value. The power consumption is controlled equally in real time. At this time, the reference value may be a value obtained by adding the reference energy rates of the plurality of buildings or facilities determined according to the energy rate calculation method for each building or facility described above.

Specifically, the equalization control unit 115 performs the equalization control so as to follow the exponent value determined by the exponent determination unit 114. A detailed description thereof will be described later in Fig. 2 and Fig.

1, the information unit 120 includes a power cost database unit 121 for storing information on power consumption expenditure information based on past energy usage in a building or facility, and information on the type, location, and number of facilities installed in the building Etc., and to provide statistical information to estimate the total amount of energy used for next-generation use in the building by identifying the establishment of new facilities and the number of additional facilities that can affect the total amount of energy consumption for the whole building, And a consumption database unit 122.

The information unit 120 includes a weather information / consumption predicting unit 123 that stores past and future weather information and provides weather information and predictable energy consumption increase / decrease information according to occurrence of a predetermined event, And a power charge providing unit 124 for providing electric power charge information such as a real-time charge plan and an existing day / night charge-based charge plan.

At this time, the article information / consumption predicting unit 123 and the electric power charge providing unit 124 transmit the predicted, collected, and calculated information to the reference value setting unit 111 for determining a reference value of energy cost and a reference band, Set an energy cost reference value.

Referring to FIG. 1, the load group 130 includes a group 131 of consecutive control loads for sequentially controlling illumination, cooling / heating temperature control, and the like in the building through energy equalization control performed by the uniform control unit 115, Energy storage load group (132) including ice storage heat, heat storage tank, hot water heat storage battery that can store energy when necessary through equal control, energy consumption time such as water pump and equal / Energy consumption time to move to low exponential band Moving load group (133) Control according to the own energy control method according to usage of individual devices such as restaurant, residence hall, elevator in building, regardless of the uniform control, (S) 134 and energy conservation controls are not applied and are continuously included in the amount of energy consumed in the building And a control non-load group 135 consisting of the critical load that must.

The result of the uniformity control for each of the load groups included in the load group 130 is fed back to the controller 110. The controller 110 can maintain or change the energy balance control scheme based on the feedback information.

Referring again to FIG. 1, the system according to the present invention includes a feedback unit 140 for receiving feedback of energy equalization control results in the load group 130 performed through the uniform control unit 115, And an energy management display unit 150 for providing information.

The feedback unit 140 receives information according to a result of the uniformity control through a Smart Grid Network in real time or according to a predetermined period from the load group 130, compares the received feedback information with a reference value, And transmits the comparison result to at least one of the exponent determiner 114 and the equalizer controller 115. Accordingly, the control unit 110 can maintain or change the current energy balance control based on the feedback information.

The energy management display unit 150 further includes a display unit 151. The energy management display unit 150 displays the lowest energy supply charge based on the energy management information collected through the exponent deciding unit 114, the equalizing control unit 115, And generates an energy information image tool representing the comparison result between the energy cost calculated in real time and the energy cost compared with the reference value in real time and outputs it to a predetermined area of the display unit 151.

As an example of the energy information image tool, energy consumption and energy cost in a building or facilities can be expressed in the form of an energy clock (energy clock) indicating the hour, minute and second hand of a clock. The energy clock is used to calculate the smart equivalence index for energy uniformity management. The smart equivalence index can be expressed as the Smart Regulating Index (SR-Index).

2 is a flowchart illustrating an energy consumption control method for reducing energy cost according to an embodiment of the present invention.

Referring to FIG. 2, the energy cost calculating unit 113 calculates a real-time energy cost for the current amount of power consumed in buildings or buildings (S20).

The energy cost calculating unit 113 can select an energy supply source having the lowest energy supply charge among the plurality of energy sources through the energy market where the energy transaction is performed. After the power consumption of the building or the facility is grasped through the smart grid network, The energy cost according to the power consumption of the building or the facility can be calculated in real time by using the energy supply rate and the power consumption amount of the energy supplied from the energy supply source to the building or the facility.

Then, the energy index determination unit 114 compares the energy cost calculated in real time by the energy cost calculation unit 113 with a predetermined energy cost reference value in the reference value setting unit 111 in real time (S21).

At this time, the energy cost reference value is a building or a building to which a weekly or nighttime differential rate system or an electricity rate is not constant, and a contact price for the regulating energy is applied, It may be a value that is calculated and updated on a daily basis so that the energy cost due to the maintenance of the constant load can be minimized while maintaining the constant load in the facilities.

Next, the uniformity controller 115 controls the power consumption of the building or the facility in real time so that the energy cost converges on the reference value when the calculated energy cost is greater than or less than a predetermined reference band as compared with the reference value (S22) .

At this time, detailed steps constituting step S22 will be described with reference to FIG.

FIG. 3 is a flowchart illustrating another example of a method for controlling energy consumption for reducing energy cost according to an embodiment of the present invention. Specifically, FIG. 3 is a detailed flowchart of step S22 shown in FIG.

Referring to FIG. 3, the uniformity controller 115 checks the comparison result in FIG. 2, and when the energy cost is within the reference band, the control is terminated (S30).

If the energy cost is not within the reference band, the equalization control unit 115 checks whether the energy cost exceeds the reference band and, if exceed, if the energy cost is not within the reference band, (S31, S32) in order to converge the energy cost to the reference energy cost.

At this time, in step S32, the first control step may be a control step for selectively stopping the plurality of loads or energy storage devices considering a power consumption of a plurality of loads or power storage devices in a building or a facility.

If the energy cost does not exceed the reference band in step S31, the equalization control unit 115 sequentially controls the plurality of loads or power storage devices in the building or the facility according to the predetermined control second control step, Is increased to converge to the reference energy cost (S31, S33).

At this time, in step S33, the second control step may be a control step for selectively operating the plurality of loads or power storage devices in consideration of power consumption of a plurality of loads or power storage devices in a building or a facility.

4 and 5 are views showing an example of a display unit of an energy equalization control system for reducing energy cost according to an embodiment of the present invention.

The energy management display unit 150 according to the present invention further includes a display unit 151. The energy management display unit 150 includes a display unit 151 and a display unit 151. The energy management display unit 150 includes a display unit 151, An energy information image tool representing the energy supply fee, the energy cost calculated in real time, and the comparison result of the energy cost compared with the reference value in real time, and outputs the generated energy information image tool to a predetermined area of the display unit 151.

4, the energy management display unit 150 displays the energy supply rate of the energy supply source having the lowest energy supply charge among the plurality of energy sources selected from the energy market in the energy cost calculation unit 113 a1), a power consumption amount (a2) of a building or a facility transmitted to the energy cost calculation unit 113 through the smart grid network, and an energy (a2) according to the power consumption amount of a building or a facility determined according to the energy supply fee and the power consumption amount At least one of the information on the cost a3 may be outputted in real time on one surface of the display unit 151. [

The output image at this time can be displayed in the form of a clock, and the energy cost (a1), the energy used for the building or facility (a2), the energy cost a3 may be represented by an hour hand a1, a minute hand a2, a second hand a3, or the like, and each bar having different lengths, Can be output as a graph.

In the case of the hour hand a1 indicated by the energy supply charge, the average consumption rate is set on the basis of 9 o'clock. The minute hand a2, which displays the energy consumption, sets the average power amount on the basis of 12 o'clock, The displayed second hand (a3) can set the average cost of the total electric power charges based on 3 o'clock. Accordingly, when the energy consumption charge, the electric energy amount, and the total electric power charge are lower than the respective reference values, the time is displayed in a time zone before the time corresponding to each reference point, The readability of the current state of energy management can be clarified.

Next, referring to FIG. 5, the energy management display unit 150 may output a result of real-time comparison of the energy cost and the reference value calculated for the buildings or facilities performed in the uniformity controller 115. FIG. At this time, the real-time comparison result can be displayed by a clockwise or counterclockwise rotation of the energy cost a3 output in the form of a bar. For example, when the energy cost a3 is located at the 3 o'clock direction b1 Means that the energy cost a3 corresponds to the reference energy cost range and when the energy cost a3 moves in the counterclockwise direction b2 the energy cost a3 exceeds the reference energy cost , And the energy cost a3 is less than the reference energy cost when the energy cost a3 moves in the clockwise direction b3.

In addition, the energy management display unit 150 displays the real-time comparison result on the x-axis in units of hourly, and determines in advance the real-time comparison result in real time based on the real- It is possible to display the first control step and the second control step in the form of a graph having the y axis.

Here, referring to the graph shown in FIG. 5, the energy management display unit 150 outputs the SR-Index, which is the indexed information through the real-time comparison of the energy cost and the reference value, to a predetermined area of the display unit can do. Specifically, the SR-Index can be represented by an angle between the bar indication indicating the energy cost (a3) and the reference point (a4), and each step of the SR-Index may be a numerical value indicating a value deviating from the uniform power use target amount. At this time, the reference value '0' of the SR-Index can be determined by a fuzzy forcast, which is an example of a predetermined prediction algorithm.

Hereinafter, a method of determining the SR-Index in the exponent determining unit 114 will be briefly described.

The exponent determination unit 114 may be configured to perform a fuzzy inference engine algorithm, which is an example of a prediction algorithm for determining a preset SR-Index by reflecting data of past period and the current weather forecast information for buildings or facilities The SR-Index is determined accordingly.

For example, when the energy cost reference value is obtained for a specific date, the power energy unit price per hour of the past maximum daily energy amount, the lowest energy amount, and the past date (for example, a specific date of last year or production year) And the reference energy cost for a specific date is calculated by adding the load power increase estimate to the average value for each day of the week.

At this time, the load power increase estimation value may include nonlinear data such as a weather change, a weather, a temperature, a change in communication amount by time of a building or a facility, or a movement of a building of a building or a facility, A fuzzy inference engine, which is an example of a rule-based prediction algorithm that is generated by dividing a region by a fuzzy controller, which is an example of a prediction algorithm, and constructing a rule base according to each region, Lt; / RTI >

The fuzzy prediction process, which is an example of a prediction algorithm for determining the SR-Index in the exponent determiner 114, will be described using the following equation.

1. Determine the average power consumption.

The exponent determiner 114 determines the average daily power maximum / minimum power amount and the average amount of power consumed through the power unit price according to the previous day in buildings or facilities collected through the information part 120. [ At this time, the maximum peak power is determined by reflecting the possibility of a next day predictable variable (for example, service congestion by international competition, major events, etc.).

Referring to Equation (1), based on the waveform representing the amount of used power shown on the right side of FIG. 5, the following equation is derived from the next-day power usage amount (Pwave) including the maximum / minimum power amount of the next day (Pav) can be derived.

2. Determination of load power increment by predicting outside temperature.

The increase of the load power due to the outside temperature is determined by reflecting the ambient temperature prediction through the ambient change function of NIST and the fuzzy inference algorithm which is one example of the prediction algorithm.

Specifically, the next day average energy prediction waveform is determined by reflecting the average value of the maximum temperature and the minimum temperature of the next day's Meteorological Agency forecast as the load variable by the ambient temperature, and the deviation of the predicted next day average energy predicted waveform and the past outside temperature is calculated, Lt; / RTI >

Referring to Equation (2), the load power increment (ΔPT) in the air conditioning equipment is obtained by a deviation between the next-day energy prediction waveform (PTTav) reflecting the outside air temperature (Tav) and the energy prediction waveform (PTΔT) .

With reference to Fig. 6, a description will be given of the ambient temperature prediction.

6 is a diagram showing an example of an outside air temperature predictive function formula used in the energy equalization control system according to an embodiment of the present invention.

6, the maximum temperature (Thigh), the minimum temperature (Tlow), the maximum temperature occurrence time (thigh) and the minimum temperature occurrence time (tlow) are obtained from the predicted waveform of the outside air temperature, You can enter the required temperature and time values for the function formula.

6 can be divided into three sections based on the maximum temperature generation time (thigh) and the minimum temperature generation time (tlow). A period b1 from 0 h to the minimum temperature generation time tlow, a period b2 from the minimum temperature generation time tlow to the maximum temperature generation time thigh, a maximum temperature generation time thigh, And the subsequent section (b3).

The mathematical expression for estimating the outside air temperature predicted for each section is as shown in the upper right of FIG. The maximum temperature (Thigh) and the minimum temperature (Tlow) information collected through the next-day weather forecast may be input to the equation shown in FIG. 5 to estimate the outside temperature after N hours. The predicted outside air temperature is used to determine the load power increment according to Equation (2).

3. Determine the average power consumption prediction waveform.

The predicted waveform of the average power consumption using the outside temperature and the past data is determined from the average power consumption and the load power increase determined through the prediction of the ambient temperature.

Referring to Equation (3), the average power usage prediction waveform PPW is a deviation of the average power usage amount Pav determined in Equation 1 from the load power increment ΔPT through the outdoor air temperature prediction determined in Equation 2 Can be determined.

4. SR - Index  decision.

Referring to Equation (4), the SR-Index can be determined as a product of the average used power amount prediction waveform (PPW) determined in Equation (3) and the average waveform (RTP) of the previous day real time charge.

Therefore, the SR-Index is an automatically calculated value so that the energy cost to be used on that day can be adjusted to the lowest amount by means of the average of the past and present data, Quot; reference value ". The reference value of the SR-Index is set to '0'. The fuzzy prediction algorithm, which is one example of the prediction algorithm through past data and weather prediction, is applied to determine '0' for each building, and for the adaptive and efficient energy management, It is decided once a day and it is changed 365 times / year unit.

Referring to the graph shown in FIG. 5, a real-time control method of power consumption for converging the energy cost, which is determined by the exponent determining unit 114, to the reference value will be described. same.

First, in the control step shown on the y-axis of the graph shown in FIG. 5, 0 means that the energy cost converges to the reference value in the reference band, and +1, +2, +3, And +4 means the first control step, and in the case of -1, -2, -3, and -4 among the control steps displayed on the y-axis of the graph, it may mean the second control step.

Also, for example, in the case of 0 in the control step, the energy cost may be not more than 10% or less than 10% with respect to the reference energy cost, and in the case of +1 in the control step, Is greater than 10% to 20% of the reference energy cost, the energy cost may be in a range of 20% to 30% with respect to the reference energy cost in case of +2 in the control step, and -1 The energy cost is less than 10% to 20% of the reference energy cost, and in the case of -2 in the control step, the energy cost is less than 20% to 30% of the reference energy cost.

In addition, the percentage (%) presented above is not limited to this and can be changed according to the reference energy cost.

In addition, when the energy consumption mode is changed according to variables such as a weather condition, an event occurring in a building or facilities, the energy usage pattern shown in the graph shown in FIG. 5 can be modified.

7 is a diagram showing an example of a data pattern reflecting a variable in energy energy for energy cost reduction according to an embodiment of the present invention.

Calculate the energy required to +1 or down the room temperature of the managed building and quantify the average and previous energy usage data and energy predicted waveforms from historical data for that building. Then, the maximum temperature and the minimum temperature of the past or the previous day are numerically expressed, and information about the maximum temperature and the minimum temperature by weather forecasting is collected. Based on this, we calculate the temperature difference between the energy data pattern reflecting the contrast of the stationary energy data pattern and the required energy corresponding to the temperature difference by reflecting the weather forecast with respect to the past temperature. According to this procedure, as shown in FIG. 7, the past energy data pattern can be changed to a data pattern reflecting the variable.

On the other hand, a method of sequential control according to the SR-Index will be described in detail with reference to FIG.

FIG. 8 is a diagram illustrating another example of a display unit in the energy equalization control system for energy cost reduction according to an exemplary embodiment of the present invention. Specifically, FIG. 8 illustrates an example of a stepwise sequential control process according to the SR- .

According to the SR-Index derived from the graph as shown in FIG. 5, when the SR-Index is located in the '0' region in the control step as shown in FIG. 8, the equalization control unit 115 maintains the current state, Or normal operation of a plurality of loads or power storage devices in the facility.

When the SR-Index is located in the '1' region in the control step, the equalization control unit 115 reduces the electric power and electric power of the generator among a plurality of loads in the building or the facility, It is possible to reduce the amount of power consumption in the building or the facility by turning off the lighting of the air conditioning room.

In addition, when the SR-Index is located in the '2' region during the control step, the equalization controller 115 may utilize the previously stored ice storage / storage heat. In addition, it is possible to further reduce the power consumption of the building or the facility by reducing the general power of the generator further out of a plurality of loads in the building or facility, or by turning off the illumination of the central hallway during the illumination.

In addition, when the SR-Index is located in the '3' region in the control step, the equalization control unit 115 can perform the sequence control. As a concrete example, it is possible to reduce the power consumption of the building or the facility by reducing the output of the water-cooled and air-cooled air conditioner of the generator further among the plurality of loads in the building or the facility, or by turning off the lights of the communication room, the machine room, .

If the SR-Index is located in the '4' region in the control step, the equalization controller 115 may operate the generator installed in the building to use the auxiliary power. In addition, the control method is to reduce the output of the air conditioner and the fan coils among the plurality of loads in the building or the facility, or to turn off the lights entirely, The amount of power can be reduced.

Next, when the SR-Index is located in the '-1' region in the control step, the equalization controller 115 charges the communication battery or operates the motor for the water tank among the plurality of loads in the building or the facility, The amount of power can be increased.

When the SR-Index is located in the '-2' region in the control step, the equalizing control unit 115 further increases the power consumption of the building or the facility by operating the boiler hot water supply motor among a plurality of loads in the building or the facility .

In the case where the SR-Index is located in the '-3' region during the control step, the equalizing control unit 115 further operates the icemaker and the accumulator among the plurality of energy storage devices in the building or the facility, .

If the SR-Index is located in the area '-4' in the control step, the equalization controller 115 may further increase the amount of power consumption in the building or the facility by operating the accumulator among the plurality of energy storage devices in the building or the facility have.

FIG. 9 is a diagram illustrating an example of a sequential control scheme for each energy level control system for energy cost reduction according to an embodiment of the present invention.

FIG. 9 shows the priority of the energy use reduction factor and the energy use factor according to the SR-index for each facility. The objects of the energy reduction control to be performed according to the SR-Index for each facility are the same as those described in FIG. 8, so that the same description will be omitted.

As described above, according to the present invention, a predetermined energy management control scheme for each load is applied through a sequential control scheme to the load capacity in order to provide an optimal operation state in a unit building or facility.

However, in the smart grid-based energy management system, the load that is not the object of control can be considered as a reference for performing the uniformity control, and will be described with reference to FIG.

10 is a diagram for explaining an example of an algorithm for performing the uniform control based on the total load amount in the energy equalization control system according to another embodiment of the present invention.

The energy uniformity control system according to the present invention can determine the SR-Index by considering both the energy controllable load and the energy controllable load when determining the exponent for sequential control.

Generally, power energy consumed to provide network operation and network service corresponds to an uncontrollable energy source, and power energy used in a building or facility can be regarded as a controllable energy source.

Referring to FIG. 10, the operation and service of a power communication network generally operates at a night time instead of a time when users consume power, so that a pattern of power consumption appears mutually with a pattern of power consumption shown in a building or the like. Specifically, the power cost according to the amount of power used in the operation of the power communication network in a certain time band in which the cost of the electric power according to the amount of electric power used in the building corresponds to the minimum frequency band may correspond to the highest frequency band.

Therefore, when the energy management is performed according to the characteristics of the building, the SR-Index is calculated by mixing the controllable object and the non-controllable object, and the equal control is performed.

In particular, if the building is used for a specific purpose or reason at an inexpensive time under the S / G real-time plan (for example, in the case of a telecom company, Or when the limit power is already reached), it is possible to prevent the problem that the inexpensive S / G charge causes the peak power to be exceeded, through the SR-Index equalization control.

It is based on the current day and night differential pricing system, based on the Smart Grid real-time rate system, and the optimal price in the environment based on the uniform price plan for the regulating energy. The energy cost of the system can be reduced.

In addition, since a plurality of buildings or facilities, or a plurality of regions, are configured in the form of a military group, energy consumption control for reducing the energy cost for the formed group in the smart grid-based uniform contract power plan environment is enabled, The construction cost can be reduced.

In addition, through the Smart Grid-based energy market, the energy supply source having the lowest energy supply charge among the plurality of energy supply sources can be selected, and the selected lowest energy supply charge can be applied in real time.

It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims. It will be possible. Therefore, the embodiments disclosed in the present invention and the accompanying drawings are intended to illustrate and not to limit the technical spirit of the present invention, and the scope of the technical idea of the present invention is not limited by these embodiments and the accompanying drawings . The scope of protection of the present invention should be construed according to the following claims, and all technical ideas within the scope of equivalents thereof should be construed as being included in the scope of the present invention.

Claims (23)

(a) calculating in real time a current energy cost according to a real-time power consumption amount of a building or facilities;
(b) comparing the current energy cost with a pre-calculated energy cost reference value band in real time to determine an exponent; And
(c) if the current energy cost exceeds or falls below the energy cost reference value band as a result of the comparison, the amount of power consumption of the building or facility is adjusted according to a preset control priority so that the energy cost follows the determined index. And sequentially controlling in real time,
The step (b)
Determining an average daily use power amount in the building or facility;
Determining at least one of an increase in load power predicted according to the outside air temperature and an increase in load power due to an event according to a building use occurring in the next day in consideration of a load variable due to outside air temperature through weather prediction, ; And
And determining the index by reflecting the real-time energy charge to the average used electric power amount reflecting the increase in the load of the air conditioning equipment,
The index,
Wherein the current energy cost calculated in the step (a) is determined according to a predetermined fuzzy prediction algorithm to represent a control step corresponding to the energy cost reference value band, Wherein the information is information that is obtained when the energy is equal to or greater than a predetermined value. The method according to claim 1,
The index,
The expenditure cost of energy use by the unit building or unit facility to be controlled is information obtained by sequentially exponentially indexing information that exceeds or falls below the average usage fee,
The step (c)
Wherein the real-time use energy measured by the unit building or the unit facility to be controlled is follow-up controlled so as to converge to the exponent. delete The method according to claim 1,
The method of claim 1,
Wherein said daily average used power amount is determined based on the energy cost reference value based on the past weekday, month, year maximum / minimum power energy amount, and all day time power energy unit cost. The method according to claim 1,
The step of determining the exponent comprises:
Estimating a maximum, a minimum band, and an average power consumption amount by reflecting the increase in the load on the air conditioner to the average used power amount, and generating an average power consumption prediction waveform; And
And automatically calculating the index so that the total energy consumption cost to be used on that day is the lowest amount by multiplying the average used power amount prediction waveform by the average waveform of the previous day's real time energy charge. Way. The method according to claim 1,
The step of determining the exponent comprises:
And the energy cost is determined to converge within the predetermined reference value band from the energy cost reference value. The method according to claim 1,
The step (c)
When the energy cost exceeds the energy cost reference value band,
And a step of sequentially controlling the plurality of loads, power storage devices, or power generation devices in the building or facility based on the predetermined first control step according to the index to reduce the energy cost to converge to the energy cost reference value Energy equalization control method for reducing energy cost. The method according to claim 1,
The step (c)
When the energy cost is less than the energy cost reference value band,
And sequentially increasing the energy cost to converge to the energy cost reference value by sequentially controlling a plurality of loads, a power storage device, or a power generation device in the building or facility based on a predetermined second control step according to the index. Energy equalization control method for reducing energy cost. The method according to claim 1,
The step (c)
And sequentially controlling the control objects independently set according to the index reflecting the respective load characteristics of the building or equipment,
Further comprising the step of: feedback-transmitting a sequential control result for each load according to the control object. The method according to claim 1,
An energy information image including at least one of an energy supply fee, an amount of power used by the building or facility, and an energy cost based on the energy supply fee and the amount of power used by the building or facility, The method further comprising the step of: 11. The method of claim 10,
The energy information image is displayed in a clock form, and the energy costs of the energy supply fee, the amount of power used by the building or the facility, and the amount of energy used by the building or the facility are added to each other to represent the hour, minute and second hands And outputting the result as a bar graph having a different length. 12. The method of claim 11,
The histograms of the different lengths may be,
When the display amount corresponding to the bar graph increases, the area extends outward on the energy information image based on a predetermined time,
Wherein when the display amount corresponding to the bar graph is decreased, the area is reduced inward on the energy information image based on a predetermined time period. An energy cost calculating unit for calculating an energy cost in real time by reflecting an energy supply fee to a power consumption amount of a building or a facility;
An energy index determination unit for comparing the energy cost with a predetermined energy cost reference value band in real time to determine the energy cost as an index;
And a control unit for controlling the power consumption of the building or the facility so that the energy cost follows the determined index when the energy cost is greater than or less than the energy cost reference band as a result of the comparison, A control unit; And
And an energy management display unit for outputting the energy cost and the comparison result in real time in a predetermined area,
The energy-
The daily average power consumption is determined based on the energy cost based on the past day, week, month, year maximum / minimum power energy amount and the previous day power energy unit cost in the building or facility,
The index,
The energy cost calculated by the energy cost calculating unit is determined on the basis of the energy cost reference value band, the energy cost calculated by the energy cost calculating unit, The energy equalization control system for reducing the energy cost. 14. The method of claim 13,
Further comprising a load group to be controlled by the equalization control unit,
The load group includes:
A reduced sequential control load group for sequentially controlling a plurality of equipments installed in a building through energy equalization control performed in the uniform control unit;
An energy storage load group for storing extra energy in the energy equalization control in the equalization control unit;
An energy consumption time shift load group for shifting the energy consumption time to a relatively low exponent band in the energy equalization control in the uniform control section;
An element load application group in which energy is controlled according to an energy control method of the uniform control unit and an independent energy control method independent of the energy control method of the uniform control unit; And
And an uncontrollable load group continuously included in the total amount of energy consumed in the building and not included in the energy control target. delete 14. The method of claim 13,
The energy-
The air conditioning equipment load including at least one of a load power increase predicted according to the outside air temperature and a load power increase due to an event for each building use taking place in the next day in consideration of the load variable due to the outside air temperature, Reflecting the power increase,
Wherein the exponent is determined by reflecting the real-time energy charge to the average used electric power amount reflecting the increase in the load of the air conditioning equipment. 14. The method of claim 13,
The energy-
And the energy cost is determined to converge within the predetermined reference value band from the energy cost reference value. 14. The method of claim 13,
Wherein the equalization control unit comprises:
When the energy cost exceeds the energy cost reference value band,
Wherein the control unit sequentially controls a plurality of loads, a power storage device, or a power generation device in the building or facility based on a predetermined first control step according to the index to reduce the energy cost to converge to the energy cost reference value Energy equalization control system for energy cost reduction. 14. The method of claim 13,
Wherein the equalization control unit comprises:
When the energy cost is less than the energy cost reference value band,
And sequentially increases the energy cost to converge to the energy cost reference value by sequentially controlling a plurality of loads, a power storage device, or a power generation device in the building or facility based on a predetermined second control step according to the index. Energy equalization control system for energy cost reduction. 14. The method of claim 13,
The energy management display unit displays,
An energy information image including at least one of an energy supply fee, an amount of power used by the building or facility, and an energy cost based on the energy supply fee and the amount of power used by the building or facility, Wherein said energy control system comprises: 21. The method of claim 20,
The energy information image is displayed in a clock form, and the energy costs of the energy supply fee, the amount of power used by the building or the facility, and the amount of energy used by the building or the facility are added to each other to represent the hour, minute and second hands Wherein the energy is output as a bar graph having a different length. 22. The method of claim 21,
The histograms of the different lengths may be,
When the display amount corresponding to the bar graph increases, the area extends outward on the energy information image based on a predetermined time,
Wherein when the display amount corresponding to the bar graph is decreased, the area is reduced inward on the energy information image based on a predetermined time period. 21. The method of claim 20,
The energy management display unit displays,
And outputs a real-time comparison result of the energy cost and the energy cost reference value through a predetermined graph image,
Wherein the graph represents a control step for each exponent set on a time axis and the other axis for each building or facility.

Images