CN118137477B - Multi-energy system configuration method and system considering communication base station and power transmission blocking - Google Patents
Multi-energy system configuration method and system considering communication base station and power transmission blocking Download PDFInfo
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Abstract
The invention discloses a method and a system for configuring a multi-energy system by considering communication base stations and electric energy transmission blockage, and belongs to the technical field of comprehensive energy system optimal configuration. The method comprises the following steps: s1, constructing a communication base station model and a multi-energy system model, and performing flexibility quantitative calculation on the communication base station model and the multi-energy system model to obtain a first calculation result, wherein the first calculation result is used for performing flexibility optimization configuration; s2, constructing an energy storage power station site selection and volume determination model based on the communication base station model, the multi-energy system model and the first calculation result, wherein the site selection and volume determination model is used for carrying out site selection and access capacity optimization configuration of the energy storage power station. The energy storage power station locating and sizing model provided by the invention optimizes the energy storage power station and the sizing-locating combination during planning, effectively reduces the fracture blocking risk of the power transmission network, and ensures that the power system is safer and more stable.
Description
Technical Field
The invention belongs to the technical field of comprehensive energy system optimal configuration, and particularly relates to a method and a system for configuring a multi-energy system by considering communication base stations and electric energy transmission blockage.
Background
On the premise that the multi-energy system has sufficient flexibility margin, whether the flexibility resource can be timely transmitted from the perspective of the network frame is needed to meet the flexibility requirement, and the network side is blocked against the random fluctuation characteristic of high-proportion new energy output, so that the transmission efficiency of the flexibility resource of the whole system can be reduced, even the system network frame bearing capacity is exceeded to threaten the safe and stable operation of the system, and the existing research usually selects a newly-built line to relieve the blockage.
As communication technology has been rapidly developed in recent years, the number of 5G base stations as core devices of the fifth generation mobile communication network has been rapidly increased. At present, a lead-acid storage battery pack is mostly adopted as a main power supply and a standby power supply in a communication base station, and the lead-acid storage battery has the problems of high maintenance difficulty, serious chemical pollution and the like, so that a green, environment-friendly and long-acting stable hydrogen fuel cell becomes one of ideal power supply alternatives.
Because the electric equipment of the communication base station is mainly communication equipment and matched equipment thereof. In the power consumption of the base station, the power consumption of the main equipment and the air conditioner accounts for more than 80% of the total power consumption of the base station, wherein the power consumption of the air conditioner accounts for more than 50% of the total power consumption of the base station, and the power consumption of all the equipment accounts for the largest proportion. This is because the conventional storage battery has very strict operating temperature requirements, for example, the operating temperature of the lead-acid storage battery is about 15-35 ℃, while the hydrogen fuel cell power supply system has a larger temperature requirement range, and can normally operate within 100 ℃ of indoor temperature. The current communication base station mostly adopts a lead-acid storage battery pack as a main power supply and a standby power supply, and the hydrogen coupling transformation of the communication base station can not only avoid the problems of high maintenance difficulty, serious chemical pollution and the like of the conventional lead-acid storage battery, but also obtain better economy and low carbon in long-term planning, obtain larger benefits through the transmission of redundant electric energy, and provide flexibility adjustment capability for a novel electric power system.
Disclosure of Invention
Aiming at the problems that flexible resources are increasingly abundant and uncertainty at two ends of a source load is increasingly obvious, the invention considers the transmission section blocking risk of the flexible resources in the transmission process of the power grid, and establishes an addressing and volume-fixing method of the energy storage power station so as to reduce the uncertainty of the source load and the section transmission blocking risk brought by flexible resource transmission to the greatest extent under the condition of not increasing lines.
In order to achieve the above object, the present invention provides the following solutions: a multi-energy system configuration method considering communication base station and power transmission blocking comprises the following steps:
S1, constructing a communication base station model and a multi-energy system model, and performing flexibility quantitative calculation on the communication base station model and the multi-energy system model to obtain a first calculation result, wherein the first calculation result is used for performing flexibility optimization configuration;
s2, constructing an energy storage power station site selection and volume determination model based on the communication base station model, the multi-energy system model and the first calculation result, wherein the site selection and volume determination model is used for carrying out site selection and access capacity optimization configuration of the energy storage power station.
Further preferably, the communication base station model includes:
Wherein, L CO is the base load of the communication base station; p CO (t) is the electric output of the hydrogen fuel cell in the t period of the communication base station; η CO is the power generation efficiency of the hydrogen fuel cell of the communication base station; Consuming hydrogen volume for a t period of the communication base station; r CO is the hydrogen fuel cell output climbing coefficient; c CO is hydrogen fuel cell configuration capacity; Is the heat value of hydrogen; Is the hydrogen density.
Further preferably, the flexibility requirements include an up-regulation flexibility requirement and a down-regulation flexibility requirement;
The method for quantifying the flexibility comprises the following steps:
Wherein F i,up(t)、Fe,up (t) is the upward flexibility adjusting capability of each device and the energy storage side in the period t respectively; f i,dn(t)、Fe,dn (t) is the downward flexibility adjustment capability of each device and energy storage side in t period; p i (t) is the t period equipment i output; r i,up、ri,dn is the upward and downward ramp rate of device i; s ES (t) is the capacity state of the energy storage power station in the t period; η ES、CES is the charge and discharge rate and the configuration capacity of the energy storage power station; p fd,ES(t)、Pcd,ES (t) is the discharge and charge power of the energy storage power station in the t period; p i,max、Pi,min represents the maximum and minimum values of the force output of each device in the period; s ES,max、SES,min represents the maximum and minimum values of the capacity of the energy storage power station during the time period.
Further preferably, the flexibility optimizing configuration has minimum configuration cost under the equal annual value, and the flexibility margin is the optimizing target;
The optimization objective is as follows:
F＝min[Fe-sum(Fi,up(t)+Fi,dn(t)+Fe,up(t)+Fe,dn(t))]，
Wherein F represents a total target of system planning operation; f e represents the total economic cost; f i,up (t) represents the upward flexibility margin of each device during period t; f i,dn (t) represents the downward flexibility margin of each device during period t; f e,up (t) represents the upward flexibility margin of the energy storage power station in the t period; f e,dn (t) represents the energy storage plant flexibility margin down the t period.
Further preferably, the location and volume determining model uses the lowest average line load as an objective function, and improves the transmission flexibility of the power grid through optimization of location and access capacity of the energy storage power station;
the objective function includes:
where N represents the number of system branches.
Further preferably, the constraints of the energy storage power station include:
Wherein C ES,n is the capacity of the nth energy storage power station; charging and discharging power of the nth energy storage power station in a t period; the charging and discharging states of the nth energy storage power station in the t period; the charge and discharge capacity of the nth energy storage power station in the period t accounts for the upper limit proportion of the total capacity; s ES,n (t) is the state of charge of the nth energy storage power station in the t period; l ES is the hourly self-leakage rate of the energy storage power station.
Further preferably, the method for calculating access capacity and power balance include:
Wherein P ij is the line transmission power between the i node and the j node; b ij is the line susceptance between the i node and the j node; the voltage phase angle of the theta i node i; x ij is the line reactance between the i node and the j node; p i out (t) is the output power of the inode of the line connected with the inode in the period t; p i (t) is the i-th node t period electrical load; Energy is stored for the i node (if any) and the charging and discharging power is in t period; p s,i (t) is the power supply connected with the i node t period; p ij,n (t) is the transmission power of the nth line t period connected with the inode.
The invention also provides a multi-energy system configuration system considering the communication base station and the blocking of the power transmission, which is used for realizing the method, and comprises the following steps: the model building module and the constant volume module;
The model construction module is used for constructing a communication base station model and a multi-energy system model, and carrying out flexibility quantitative calculation on the communication base station model and the multi-energy system model to obtain a first calculation result; the first calculation result is used for performing flexibility optimization configuration;
The volume-fixing module is used for constructing an energy storage power station site-selection volume-fixing model based on the communication base station model, the multi-energy system model and the first calculation result, and is used for carrying out site-selection and capacity optimization configuration of the energy storage power station based on the site-selection volume-fixing model.
Compared with the prior art, the invention has the beneficial effects that:
Firstly, the communication base station is considered and subjected to hydrogen coupling transformation in the planning process of the multi-energy coupling system, and the advantages of environmental protection, long-acting stability of the hydrogen fuel cell are fully exerted on the premise that the problems of high maintenance difficulty, serious chemical pollution, harsh working environment and the like of the existing lead-acid storage battery pack serving as a main power supply and a backup power supply of the communication base station are avoided. And secondly, the traditional energy storage power station planning method only optimizes the capacity, and lacks a reasonable and effective site selection planning method, and the site selection and volume selection model of the energy storage power station provided by the invention optimizes the energy storage power station and the site selection and volume selection combination during planning, so that the fracture blocking risk of a power transmission network is effectively reduced, and the power system is safer and more stable.
Drawings
In order to more clearly illustrate the technical solutions of the present invention, the drawings that are needed in the embodiments are briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of interaction relationship between a core operator and a multi-energy coupling system according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a test system according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a blocking situation where an energy storage power station is arranged at a wind-solar power station according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of a blocking situation where an energy storage power station is disposed at an electric/gas/thermal coupling point according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of an embodiment of the present invention for configuring a blocking condition of an electrical energy storage using the method of the present invention.
Reference numerals illustrate:
1-14 represent power network nodes; 15-21 represent natural gas network nodes; 22-29 represent thermodynamic network nodes.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description.
Embodiment one:
the embodiment provides a multi-energy system configuration method considering communication base stations and power transmission blocking, which comprises the following steps:
s1, constructing a communication base station model and a multi-energy system model, and performing flexibility quantitative calculation on the communication base station model and the multi-energy system model to obtain a first calculation result.
The load of the communication base station is similar to the trend of the system electric load, and in order not to affect the urban communication quality, the present embodiment regards the communication load as a base load that must be satisfied. The mathematical model is as follows:
Wherein, L CO is the base load of the communication base station; p CO (t) is the electric output of the hydrogen fuel cell in the t period of the communication base station; η CO is the power generation efficiency of the hydrogen fuel cell of the communication base station; Consuming hydrogen volume for a t period of the communication base station; r CO is the hydrogen fuel cell output climbing coefficient; c CO is hydrogen fuel cell configuration capacity; Is the heat value of hydrogen; Is the hydrogen density.
The communication operators participate in flexible quota transactions through unified scheduling and transmit redundant electric energy to the power grid, and the hydrogen fuel cell can obtain larger benefits by replacing the traditional storage battery. As shown in fig. 1, the communication base station is in interaction relationship with the multi-energy system. The profit calculation method comprises the following steps:
Wherein P sell (t) is the electric energy transmitted to the power grid by the communication operator in the period t; s CO is the profit of the communication carrier; lambda p (t), The electricity price and the hydrogen price are t time periods; t represents a period.
In this embodiment, the multi-energy system includes: wind turbine generator, photovoltaic device, thermal power generating unit, energy storage device, hydrogen-doped gas turbine containing waste heat recovery, hydrogen fuel cell cogeneration, electric boiler, electrolytic tank, methanation device, etc.
(1) Wind turbine generator system model
The actual power of the wind turbine is expressed in the following piecewise function form:
Wherein v is the wind speed at the height of the wind turbine generator; v ci is the cut-in wind speed of the wind turbine; v co is the cut-out wind speed of the wind turbine; v r is the rated wind speed of the wind turbine; p r is the rated output power of the wind turbine.
(2) Photovoltaic device model
The photovoltaic power calculation method comprises the following steps:
Wherein P pv Forehead (forehead) is rated power under standard conditions; t (T) is the current temperature; t STC is the standard temperature; g (t) is the current light intensity; g STC is the standard light intensity; k is the temperature coefficient power.
(3) Thermal power generating unit model
First, the thermal power generating unit should be kept to operate within a certain output range, and the constraint is as follows:
Wherein P TP,max、PTP,min is the maximum and minimum output of the thermal power unit; p TP (t) is the output of the thermal power unit in the t period; y TP (t) is the running state of the thermal power unit in the t period; y TP (t) =0 represents that the thermal power unit stops operating; y TP (t) =1 represents normal operation of the thermal power generating unit.
Considering the climbing capacity of a thermal power generating unit, the following constraint exists:
-ΔPTP≤PTP(t)-PTP(t-1)≤ΔPTP，
wherein DeltaP TP is the climbing rate of the thermal power unit.
(4) Energy storage device model
The energy storage characteristics of different energy forms are similar, so that the energy storage device can be composed of energy storage upper and lower limit constraint, charge and discharge power constraint, energy storage state constraint and energy loss constraint, and the specific calculation method is as follows:
Wherein S ESS(t)、SESS,min、SESS,max is the energy storage state, the minimum and maximum energy storage capacity limit of the energy storage device in the t period; p ch(t)、Pdc (t) represents the charging and discharging power in the t period; l represents energy loss per hour; y ch(t)、Ydc (t) is the charging and discharging state of the energy storage device in the period t, and is a variable of 0-1; u ch(t)、udc (t) represents the upper limit proportion of the charge and discharge power of the energy storage device in the t period; and C is the planned configuration capacity of various energy storage devices, and the capacities of different energy forms are different.
(5) Hydrogen-doped gas turbine model with waste heat recovery function
According to the prior studies, the hydrogen loading is lower than 20 percent (volume fraction) without obvious influence on the prior pipe network. And the gas unit has small influence on the operation of the gas unit under the hydrogen loading proportion of 10-20%, and no transformation is needed. The mathematical model of the hydrogen-loaded gas turbine is as follows:
Wherein P CHP(t)、HCHP (t) is the t-period electric power and the thermal power of the hydrogen-doped gas turbine; η E,CHP、ηH,CHP represents the proportion of available electric energy and heat energy to the total heat energy of the mixed fuel gas; The volume of natural gas and hydrogen consumed for the period t of the hydrogen-loaded gas turbine; Natural gas and hydrogen heating values; Natural gas and hydrogen density; r ECHP、RHCHP is the electromechanical and thermal output climbing coefficient of the hydrogen-doped gas turbine; c CHP represents the hydrogen-loaded gas turbine configuration capacity; beta represents the hydrogen loading proportion; p ORC(t)、HORC (t) is the electric and thermal output of the waste heat recovery device; The percentage of waste heat recovery is used for generating electricity and heat; η E,ORC、ηH,ORC is the power generation and heat production efficiency of the waste heat recovery device.
(6) Combined heat and power generation model of hydrogen fuel cell
The hydrogen fuel cell mainly uses a proton exchange membrane fuel cell and a solid oxide fuel cell as a power generation system, and the model is as follows:
wherein P HFC(t)、HHFC (t) is the electricity and heat output of the hydrogen fuel cell in the period t; η E,HFC、ηH,HFC represents the electric and thermal output efficiency of the hydrogen fuel cell; Consuming a hydrogen volume for a hydrogen fuel cell t-period; r E,HFC、RH,HFC is the climbing coefficient of the electric and heat output of the hydrogen fuel cell; c HFC is the hydrogen fuel cell configuration capacity.
(7) Electric boiler model
The electric boiler is an electric heating coupling device, and the model is as follows:
Wherein H EB (t) is the heat output of the electric boiler in the t period; p EB (t) is the power consumption of the electric boiler in the t period; η EB is the running efficiency of the electric boiler; r EB is the electric climbing coefficient of the electric boiler; c EB is the electric boiler configuration capacity.
(8) Electrolytic tank model
The electrolyzer is one of important hydrogen sources for hydrogen production by water electrolysis, and the model is as follows:
Wherein P EL (t) is the power consumption of the electrolytic tank in the period of t; η EL is the hydrogen production electricity consumption coefficient; v EL (t) is the hydrogen yield in the period t; r EL is the climbing coefficient of the electrolytic tank; c EL is the cell configuration capacity.
(9) Methanation device model
Under the action of a catalyst, the methanation device can reduce carbon monoxide and carbon dioxide by utilizing hydrogen to generate methane and water, and the model is as follows:
Wherein P ME (t) is the power consumption of the methanation device in the period of t; The electricity consumption coefficient of the natural gas and the hydrogen amount required to be consumed for producing the unit methane gas are calculated; Gas production is carried out for the period t; The hydrogen amount is consumed for the period t; r ME is the power consumption climbing coefficient; c ME configures capacity for the methanation unit.
The flexible resource section transmission risk is considered, the multi-energy system is configured, the economy and the flexibility are optimized, meanwhile, the flexible resource section transmission blocking risk is considered, and the method specifically comprises the following steps:
The flexibility requirements of the system include an up-regulation flexibility requirement and a down-regulation flexibility requirement, which are defined as follows:
Ppl(t)＝Pld(t)-PWT(t)-PPV(t)，
in the method, in the process of the invention, The demand is adjusted up and down for the flexibility of the t period; p pl (t) is the t period load demand; p ld(t)、PWT(t)、PPV (t) is the electric load, wind power and photovoltaic power generation capacity of the period t.
The power output is regulated by the source side equipment such as a thermal power unit, a hydrogen-doped cogeneration unit and the like, and the flexibility regulation capability provided by the load side equipment such as an electric boiler, an electrolytic tank and the like is reasonably changed. The flexibility adjusting capability of the whole system is quantified from the angles of source, load and storage, the system flexibility is quantitatively analyzed, and the calculation method is as follows:
Wherein F i,up(t)、Fe,up (t) is the upward flexibility adjusting capability of each device and the energy storage side in the period t respectively; f i,dn(t)、Fe,dn (t) is the downward flexibility adjustment capability of each device and energy storage side in t period; p i (t) is the t period equipment i output; r i,up、ri,dn is the upward and downward ramp rate of device i; s ES (t) is the capacity state of the energy storage power station in the t period; η ES、CES is the charge and discharge rate and the configuration capacity of the energy storage power station; p fd,ES(t)、Pcd,ES (t) is the discharge and charge power of the energy storage power station in the t period; p i,max、Pi,min represents the maximum and minimum values of the force output of each device in the period; s ES,max、SES,min represents the maximum and minimum values of the capacity of the energy storage power station during the time period.
The multi-energy system optimization configuration with improved source load energy storage flexibility is considered, the system configuration cost under the equal year value is minimum, and the flexibility margin is the maximum optimization target:
F＝min[Fe-sum(Fi,up(t)+Fi,dn(t)+Fe,up(t)+Fe,dn(t))]，
Wherein F represents a total target of system planning operation; f e represents the total economic cost; f i,up (t) represents the upward flexibility margin of each device during period t; f i,dn (t) represents the downward flexibility margin of each device during period t; f e,up (t) represents the upward flexibility margin of the energy storage power station in the t period; f e,dn (t) represents the energy storage plant flexibility margin down the t period.
Wherein F e can be represented as:
Wherein F TP is the thermal power cost; f WT is wind power cost; f PV is the photovoltaic cost; f ES is the cost of electric energy storage; Cost for purchasing natural gas; Cost for purchasing hydrogen; f EL is the cost of hydrogen production by water electrolysis; f ME is the cost of methanation of natural gas; f HYS is hydrogen energy storage cost; f CHP is the cogeneration cost; f ORC is the waste heat recovery power generation heating cost; f EB is the heating cost of the electric boiler; f HFC is hydrogen fuel cell cost; f HS is the heat energy storage cost; f TX is the communication base station cost.
The economic cost includes: the investment cost and the equipment operation and maintenance cost are planned, and the specific calculation mode is as follows:
in the method, in the process of the invention, The cost coefficients of coal price and operation and maintenance are respectively; m MH (t) is the coal consumption in the period t; c HYS,The hydrogen storage tank capacity, the unit investment cost and the operation and maintenance cost coefficient are used; p WT,cur(t)、PWT (t) is the wind power waste air quantity and wind power generation capacity of the period t; gamma WT,cur、γWT is the punishment cost of the abandoned wind and the operation and maintenance cost of unit wind power generation; p PV,cur(t)、PPV (t) is the photovoltaic light rejection amount and photovoltaic power generation amount of the period t; gamma PV,cur、γPV is the penalty cost of the abandoned light and the operation and maintenance cost of the unit photovoltaic power generation; c ES,The energy storage capacity, unit investment cost and operation and maintenance cost coefficients of the energy storage power station are respectively; The price of the natural gas unit and the purchase amount of the natural gas of the system in the period t are shown; Hydrogen price per unit and hydrogen purchase amount in period t; c EL, The method comprises the steps of configuring capacity of an electrolytic tank, investment cost of unit capacity, consumed hydrogen amount in a t period and consumed operation and maintenance cost of unit volume of hydrogen; c ME,The method comprises the steps of respectively configuring capacity of a methanation device, investment cost of unit capacity, natural gas amount generated in a t period and operation and maintenance cost of unit natural gas amount generated; c CHP,VCHP(t)、Capacity configuration, investment cost per unit capacity, t-period gas consumption and unit operation and maintenance cost for cogeneration; c ORC,PORC(t)、The capacity, the investment cost of unit capacity, the power generation in the period of t and the unit operation and maintenance cost are configured for the waste heat boiler; c HFC,P HFC(t)、γHFC2 is the configuration capacity of the hydrogen fuel cell, the investment cost of unit capacity, the electricity generation power in the period of t and the unit operation and maintenance cost; c EB,PEB(t)、The method comprises the steps of configuring capacity, investment cost of unit capacity, power consumption in a t period and unit operation and maintenance cost for an electric boiler; investment cost and unit operation and maintenance cost of the hydrogen fuel cell unit capacity are modified for the communication base station.
As shown in fig. 2, the embodiment takes a city-level electricity/gas/heat multi-energy coupling system as a research object, and the test system is formed by coupling a modified 14-node power network (nodes 1-14), a 7-node natural gas network (nodes 15-21) and an 8-node thermal network (nodes 22-29). The planning model established in the embodiment is based on annual hourly level history measured data of a certain city, 4 typical daily scenes containing electric load, gas load, thermal load and meteorological data are clustered and generated by adopting a k-means method, each typical day takes hourly as a period, and then the example simulation period is 96 hours. The system planning target year is set to 20 years, and specific parameters are shown in table 1 below.
TABLE 1
To verify the feasibility and effectiveness of the transformation of the communication base station in this embodiment, operation and maintenance/planning costs and planning capacities of the electric/gas/heat/storage devices are calculated by using Gurobi business solvers based on the Matlab platform as shown in tables 2 and 3.
TABLE 2
TABLE 3 Table 3
Based on the test system, as can be seen from table 2, after the hydrogen coupling modification of the communication base station is considered, the system flexibility margin is increased by 1388.05MW, and the total cost is reduced by 297.25 ten thousand yuan. Considering that the hydrogen coupling transformation of the communication base station can generate higher investment cost, the communication base station transfers part of charges and provides larger flexibility adjustment space for other equipment, and the communication base station and the base station self flexibility adjustment capability cooperate to enable the system to obtain larger flexibility margin at lower cost.
As can be seen from table 3, the energy storage power station is greatly improved after the hydrogen coupling transformation of the communication base station is considered, which indicates that the energy storage power station has a good energy regulation effect when the complex multi-energy coupling system is considered and the multi-benefit is considered, and is an essential link for optimizing the multi-benefit and optimizing the configuration of the complex system. The hydrogen fuel cell has large capacity planned in both cases, which shows that the hydrogen fuel cell has unique advantages in the aspects of power generation efficiency and power generation cost, and has very wide application prospect of hydrogen energy.
S2, constructing an energy storage power station site selection and volume determination model based on the communication base station model, the multi-energy system model and the first calculation result, and determining site selection and access capacity of the energy storage power station based on the site selection and volume determination model.
Meanwhile, the embodiment also provides an energy storage power station locating and sizing model, which takes the lowest average load rate of all lines as an objective function, improves the transmission flexibility of the power grid through the optimal locating and access capacity optimization of the energy storage power station, and solves the problem of blocking of a power transmission section possibly occurring under the condition of fluctuation of the output of large-scale flexible resources. The objective function is as follows:
wherein N represents the number of system branches; Indicating the maximum transmission power of the nth branch; p n (t) represents the transmission power at time t of the nth branch.
The energy storage power station can be configured at each node by self-addressing in the system, and because the land cost corresponding to the energy storage occupation area is higher, in the embodiment, the energy storage power station can be configured at the position which is not more than N WZ at most, and the energy storage power stations distributed at different nodes relatively have the following constraint:
Wherein C ES,n is the capacity of the nth energy storage power station; charging and discharging power of the nth energy storage power station in a t period; the charging and discharging states of the nth energy storage power station in the t period; the charge and discharge capacity of the nth energy storage power station in the period t accounts for the upper limit proportion of the total capacity; s ES,n (t) is the state of charge of the nth energy storage power station in the t period; l ES is the hourly self-leakage rate of the energy storage power station.
In order to simplify the calculation and improve the solving speed, the embodiment adopts the direct current power flow to calculate the line power, and the calculation method and the power balance are as follows:
Wherein P ij is the line transmission power between the i node and the j node; b ij is the line susceptance between the i node and the j node; the voltage phase angle of the theta i node i; x ij is the line reactance between the i node and the j node; p i out (t) is the output power of the inode of the line connected with the inode in the period t; p i (t) is the i-th node t period electrical load; Energy is stored for the i node (if any) and the charging and discharging power is in t period; p s,i (t) is the power supply connected with the i node t period; p ij,n (t) is the transmission power of the nth line t period connected with the inode.
In order to verify the effectiveness of the site selection configuration method of the energy storage power station considering the risk of blocking the flexible transmission section, which is provided by the embodiment, on the basis of considering the hydrogen coupling transformation of the communication base station, the conventional method is respectively used for configuring the energy storage power station at the wind-solar access node, the energy storage power station at the electric/gas/thermal coupling node, the site selection method of the energy storage power station considering the risk of blocking the flexible transmission section is used for configuration, and the obtained result is compared and analyzed.
Since the cost of the land is required to be considered when planning the energy storage battery, the embodiment sets up that the energy storage is configured at no more than 5 geographical position nodes at most. The configuration results under each method are shown in table 4, the line blocking risk conditions of each branch in different periods under different scenes are shown in fig. 3, fig. 4 and fig. 5, the flexibility index of the whole network side is 65.75%, 68.12% and 60.53%, and the smaller the index is, the smaller the overall line section blocking risk is. According to the graph, compared with other branches, the branches 2-5 and 10 have higher blocking risks, and the overall potential section transmission blocking risk in the planning scheme provided by the embodiment is obviously reduced through comparison, so that the effectiveness of the site selection configuration method of the energy storage power station provided by the embodiment is fully proved.
TABLE 4 Table 4
The above results indicate that: the optimized configuration scheme provided by the embodiment improves the economy and the flexibility of the whole system, and the constructed urban level multi-energy coupling system considering the transformation of the communication base station improves the effectiveness and the economy of the configuration method.
Embodiment two:
The present embodiment provides a multi-energy system configuration system considering a communication base station and a power transmission blocking, comprising: the model building module and the constant volume module;
the model construction module is used for constructing a communication base station model and a multi-energy system model, and carrying out flexibility quantitative calculation on the communication base station model and the multi-energy system model to obtain a first calculation result; the first calculation result is used for carrying out flexibility optimization configuration;
the volume-fixing module is used for constructing an energy storage power station site-selection volume-fixing model based on the communication base station model, the multi-energy system model and the first calculation result, and the site-selection volume-fixing model is used for carrying out site-selection and capacity optimization configuration of the energy storage power station based on the site-selection volume-fixing model.
The above embodiments are merely illustrative of the preferred embodiments of the present invention, and the scope of the present invention is not limited thereto, but various modifications and improvements made by those skilled in the art to which the present invention pertains are made without departing from the spirit of the present invention, and all modifications and improvements fall within the scope of the present invention as defined in the appended claims.
Claims (3)
1. A method for configuring a multi-energy system in consideration of a communication base station and a power transmission block, comprising the steps of:
S1, constructing a communication base station model and a multi-energy system model, and performing flexibility quantitative calculation on the communication base station model and the multi-energy system model to obtain a first calculation result, wherein the first calculation result is used for performing flexibility optimization configuration;
S2, constructing an energy storage power station site selection and volume determination model based on the communication base station model, the multi-energy system model and the first calculation result, wherein the site selection and volume determination model is used for carrying out site selection and access capacity optimization configuration of the energy storage power station;
the communication base station model includes:
Wherein, L CO is the base load of the communication base station; p CO (t) is the electric output of the hydrogen fuel cell in the t period of the communication base station; η CO is the power generation efficiency of the hydrogen fuel cell of the communication base station; Consuming hydrogen volume for a t period of the communication base station; r CO is the hydrogen fuel cell output climbing coefficient; c CO is hydrogen fuel cell configuration capacity; Is the heat value of hydrogen; Is hydrogen density;
The flexibility requirements include an up-regulation flexibility requirement and a down-regulation flexibility requirement;
The method for quantifying the flexibility comprises the following steps:
Wherein F i,up(t)、Fe,up (t) is the upward flexibility adjusting capability of each device and the energy storage side in the period t respectively; f i,dn(t)、Fe ,dn (t) is the downward flexibility adjustment capability of each device and energy storage side in t period; p i (t) is the t period equipment i output; r i,up、ri,dn is the upward and downward ramp rate of device i; s ES (t) is the capacity state of the energy storage power station in the t period; η ES、CES is the charge and discharge rate and the configuration capacity of the energy storage power station; p fd,ES(t)、Pcd,ES (t) is the discharge and charge power of the energy storage power station in the t period; p i,max、Pi,min represents the maximum and minimum values of the force output of each device in the period; s ES,max、SES,min represents the maximum and minimum values of the capacity of the energy storage power station in the period;
The flexibility optimizing configuration has the minimum configuration cost under the annual value, and the maximum flexibility margin is an optimizing target;
The optimization objective is as follows:
F＝min[Fe-sum(Fi,up(t)+Fi,dn(t)+Fe,up(t)+Fe,dn(t))]，
Wherein F represents a total target of system planning operation; f e represents the total economic cost; f i,up (t) represents the upward flexibility margin of each device during period t; f i,dn (t) represents the downward flexibility margin of each device during period t; f e,up (t) represents the upward flexibility margin of the energy storage power station in the t period; f e,dn (t) represents the downward flexibility margin of the energy storage power station in the t period;
The addressing and sizing model takes the lowest average line load as an objective function, and improves the transmission flexibility of the power grid through the addressing and access capacity optimization of the energy storage power station;
the objective function includes:
wherein N represents the number of system branches;
the method for calculating the access capacity and the power balance comprise the following steps:
Wherein P ij is the line transmission power between the i node and the j node; b ij is the line susceptance between the i node and the j node; the voltage phase angle of the theta i node i; x ij is the line reactance between the i node and the j node; p i out (t) is the output power of the inode of the line connected with the inode in the period t; p i (t) is the i-th node t period electrical load; Energy is stored for the i node (if any) and the charging and discharging power is in t period; p s,i (t) is the power supply connected with the i node t period; p ij,n (t) is the transmission power of the nth line t period connected with the inode.
2. The multi-energy system configuration method considering the communication base station and the power transmission blocking according to claim 1, the energy storage power station is characterized in that the constraint conditions of the energy storage power station comprise:
Wherein C ES,n is the capacity of the nth energy storage power station; charging and discharging power of the nth energy storage power station in a t period; the charging and discharging states of the nth energy storage power station in the t period; the charge and discharge capacity of the nth energy storage power station in the period t accounts for the upper limit proportion of the total capacity; s ES,n (t) is the state of charge of the nth energy storage power station in the t period; l ES is the hourly self-leakage rate of the energy storage power station.
3. A system for configuring a multi-energy system taking into account communication base stations and blocking of power transmission, said system for implementing the method of any of claims 1-2, comprising: the model building module and the constant volume module;
the model construction module is used for constructing a communication base station model and a multi-energy system model, and carrying out flexibility quantitative calculation on the communication base station model and the multi-energy system model to obtain a first calculation result;
the first calculation result is used for performing flexibility optimization configuration;
The volume-fixing module is used for constructing an energy storage power station site-selection volume-fixing model based on the communication base station model, the multi-energy system model and the first calculation result, and is used for carrying out site-selection and capacity optimization configuration of the energy storage power station based on the site-selection volume-fixing model.
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