CN113240350A - Comprehensive utility evaluation method and system based on energy storage grid connection - Google Patents

Comprehensive utility evaluation method and system based on energy storage grid connection Download PDF

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CN113240350A
CN113240350A CN202110690346.9A CN202110690346A CN113240350A CN 113240350 A CN113240350 A CN 113240350A CN 202110690346 A CN202110690346 A CN 202110690346A CN 113240350 A CN113240350 A CN 113240350A
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龚贤夫
周姝灿
左郑敏
卢洵
刘新苗
刘正超
盛杰
徐芸霞
张东辉
彭虹桥
陈鸿琳
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Abstract

The invention discloses a comprehensive utility evaluation method and a comprehensive utility evaluation system based on energy storage grid connection, wherein the method comprises the steps of selecting the type, the installation position and the access capacity of the energy storage grid connection, and establishing a model for safety and stability analysis, economic analysis and other benefit analysis of an electric power system; determining a safety and stability score index of a safety and stability analysis model by adopting steady-state thermal stability analysis, transient state N-1 scanning and transient state N-2 scanning of a power system, evaluating the economic analysis model by adopting an investment economy measuring and calculating index to obtain the economic score index, inputting preset power grid blocking benefit, power grid peak shaving benefit and power grid loss reduction benefit into other benefit analysis models for summation calculation, and obtaining other benefit score indexes; and performing weighted calculation according to the safety and stability scoring index, the economic scoring index and other benefit scoring indexes to obtain a comprehensive benefit evaluation result. The invention has the comprehensive evaluation of the safety, the economy and other benefits of the energy storage grid connection, and improves the evaluation efficiency of the energy storage grid connection.

Description

Comprehensive utility evaluation method and system based on energy storage grid connection
Technical Field
The invention relates to the technical field of power system evaluation, in particular to a comprehensive utility evaluation method and system based on energy storage grid connection.
Background
With the determination of the development strategy of a novel power system mainly based on new energy, the investment and application of energy storage in the whole power system of the power system are increased in a burst mode, the energy storage has flexible energy time carrying function, the renewable energy power generation is more friendly and controllable to a power grid, participates in auxiliary services such as power grid peak regulation and frequency modulation, provides support for safe operation of the power grid, can be arranged on a user side, provides various requirements such as peak-valley regulation, power supply capacity improvement and power supply reliability improvement for users, and has the advantages that large-capacity pumped storage is used as the maximum energy storage of a power system and is applied more.
At present, energy storage technologies are various in types, different types of energy storage application principles and suitable application scenes are greatly different, medium-short period non-pumped energy storage is high in cost and the application scenes are mainly supported by policies, but with effective reduction of energy storage cost and large-scale access of new energy in the future, large-scale use of energy storage tends to be great, on one hand, energy storage elements are considered in power grid planning to obtain more reasonable and instructive power grid planning, on the other hand, energy storage in all aspects and industries is planned in a comprehensive mode to obtain greater overall social benefits and comprehensive benefits, energy storage investors are complex in composition and can be composed of power grid companies, power supply companies, users and third-party investment bodies, access places are divided into a power grid side, a power supply side or a user side, and different access places are divided into different power grid sides and different user sides, Evaluation indexes of investors and winners are different, comprehensive benefits of energy storage are evaluated, potential benefits of other main bodies and benefits of the whole society need to be analyzed from the profit ways of investment main bodies, and comprehensive benefits of energy storage on a power grid, a power supply, users and the whole society are summarized through multi-angle analysis of power grid side energy storage, power supply side energy storage, user side energy storage and the like of power grid investment. According to the current comprehensive benefit evaluation method for grid connection containing energy storage, the processing of the diversity of the installation positions of the energy storage system and the composition of the energy storage system are single, and the comprehensive benefit evaluation for grid connection containing energy storage is lack of consideration in various aspects such as safety, economy, power grid blockage relieving, power grid peak regulation income, network loss reduction income and the like, so that the comprehensive benefit evaluation is inaccurate.
Disclosure of Invention
The invention aims to provide a comprehensive utility evaluation method based on energy storage grid connection, so as to solve the problem of single comprehensive evaluation of energy storage grid connection.
In order to achieve the purpose, the invention provides a comprehensive utility evaluation method based on energy storage grid connection, which comprises the following steps:
selecting the type, the installation position and the access capacity of energy storage grid connection according to a preset power system safety and stability analysis basic model, and establishing a safety and stability analysis model, an economic analysis model and other benefit analysis models of a power system; the type of the energy storage grid connection comprises water-containing energy storage, electrochemical energy storage, compressed air energy storage and flywheel energy storage, and the installation position comprises a power supply side, a power grid side and a user side;
determining a safety stability scoring index of the safety stability analysis model by adopting steady-state thermal stability analysis, transient N-1 scanning and transient N-2 scanning of the power system, evaluating the economic analysis model by adopting an investment economic measurement index to obtain an economic scoring index, inputting preset power grid blocking benefit, power grid peak shaving benefit and power grid loss reduction benefit into other benefit analysis models for summation calculation, and obtaining other benefit scoring indexes;
and performing weighted calculation according to the safety and stability scoring index, the economic scoring index and the other benefit scoring indexes to obtain a comprehensive benefit evaluation result.
Preferably, the determining the safety and stability scoring index of the safety and stability analysis model by using the steady-state thermal stability analysis, the transient N-1 scanning and the transient N-2 scanning of the power system comprises:
according to the ratio of the power of the node X injected into the line XY to the rated current carrying capacity of the line XY, the load factor C of the line XY is obtainedLFThe following are:
Figure BDA0003123994270000021
the steady-state thermal stability analysis of the power system is as follows:
CLF≤100%;
Figure BDA0003123994270000022
wherein, UXRepresenting the voltage of node X, UXNRepresents the reference voltage of node X;
performing the temporary test according to the obtained result of the steady-state thermal stability analysis of the power systemState N-1 scanning and transient state N-2 scanning to obtain the safety and stability scoring index EsecurityThe following are:
Esecurity=100-10*Time;
wherein Time represents the number of times the transient N-2 scan fails.
Preferably, the evaluating the economic analysis model by using the economic investment calculation index to obtain an economic score index includes:
determining the operating profit margin I of the energy storage device according to the economic investment measurement index alpha as follows:
Figure BDA0003123994270000023
I=(α-1)*100%;
wherein, CincomeRepresenting the price of electricity sold by the energy storage device to the grid, CspendingRepresenting the cost of the energy storage device to purchase electricity from the grid, η representing the energy efficiency of the energy storage device, B representing the initial investment in energy storage output per kilowatt-hour, T representing the cycle life of the energy storage device, hDODIndicating the charging and discharging depth value of the energy storage device, CmainRepresenting the operation and maintenance cost corresponding to the energy storage output per kilowatt hour;
determining the economic score index E according to the operating profit margin I of the energy storage deviceeconomyThe following are:
Eeconomy=100+100I;
wherein, the profit margin I is 0 to represent the balance of income and expenditure, and the higher the operation profit margin I is, the higher the economic score is.
Preferably, the step of inputting preset power grid blocking benefit, power grid peak shaving benefit and network loss reduction benefit into the other benefit analysis models for summation calculation to obtain other benefit scoring indexes includes:
according to the load factor C of the line when the stored energy is not accessedLF1And the load rate C of the line when the energy storage is accessedLF2Determining the grid blocking benefit E1 as follows:
Figure BDA0003123994270000031
according to capacity S containing energy storage grid connectionEnergy storageDemand capacity S for peak shaving with the power griddemandDetermining a yield E2 of the power grid peak shaving as follows:
Figure BDA0003123994270000032
according to the total line power loss sigma delta S of the system when the energy storage is not accessed1And the total line power loss sigma delta S of the system when the energy storage is accessed2Determining the network loss reduction gain E3 as follows:
Figure BDA0003123994270000033
calculating the other benefit scoring indexes E according to the power grid blocking benefit E1, the benefit E2 of power grid peak shaving and the network loss reduction benefit E3benefitsThe following are:
Ebenefits=E1+E2+E3。
preferably, the comprehensive benefit evaluation result E is obtained as follows:
E=i1*Esecurity+i2*Eeconomy+i3*Ebenefits
wherein i1,i2,i3Weighting coefficients representing safety, economy and other benefits, respectively.
The invention also provides a comprehensive utility evaluation system based on energy storage grid connection, which comprises the following steps:
the input module is used for selecting the type, the installation position and the access capacity of energy storage grid connection according to a preset power system safety and stability analysis basic model, and establishing a safety and stability analysis model, an economic analysis model and other benefit analysis models of the power system; the type of the energy storage grid connection comprises water-containing energy storage, electrochemical energy storage, compressed air energy storage and flywheel energy storage, and the installation position comprises a power supply side, a power grid side and a user side;
the comprehensive utility analysis module is used for determining a safety and stability score index of the safety and stability analysis model by adopting steady-state thermal stability analysis, transient N-1 scanning and transient N-2 scanning of the power system, evaluating the economic analysis model by adopting an investment economic measurement index, acquiring the economic score index, inputting preset power grid blocking benefit, power grid peak shaving benefit and power grid loss reduction benefit into the other benefit analysis models for summation calculation, and acquiring other benefit score indexes;
and the output module is used for carrying out weighted calculation according to the safety and stability scoring index, the economic scoring index and the other benefit scoring indexes to obtain a comprehensive benefit evaluation result.
Preferably, the comprehensive utility analysis module is further configured to:
according to the ratio of the power of the node X injected into the line XY to the rated current carrying capacity of the line XY, the load factor C of the line XY is obtainedLFThe following are:
Figure BDA0003123994270000041
the steady-state thermal stability analysis of the power system is as follows:
CLF≤100%;
Figure BDA0003123994270000042
wherein, UXRepresenting the voltage of node X, UXNRepresents the reference voltage of node X;
according to the obtained steady-state thermal stability analysis result of the power system, performing the transient N-1 scanning and the transient N-2 scanning to obtain the safety and stability scoring index EsecurityThe following are:
Esecurity=100-10*Time;
wherein Time represents the number of times the transient N-2 scan fails.
Preferably, the comprehensive utility analysis module is further configured to:
determining the operating profit margin I of the energy storage device according to the economic investment measurement index alpha as follows:
Figure BDA0003123994270000043
I=(α-1)*100%;
wherein, CincomeRepresenting the price of electricity sold by the energy storage device to the grid, CspendingRepresenting the cost of the energy storage device to purchase electricity from the grid, η representing the energy efficiency of the energy storage device, B representing the initial investment in energy storage output per kilowatt-hour, T representing the cycle life of the energy storage device, hDODIndicating the charging and discharging depth value of the energy storage device, CmainRepresenting the operation and maintenance cost corresponding to the energy storage output per kilowatt hour;
determining the economic score index E according to the operating profit margin I of the energy storage deviceeconomyThe following are:
Eeconomy=100+100I;
wherein, the profit margin I is 0 to represent the balance of income and expenditure, and the higher the operation profit margin I is, the higher the economic score is.
Preferably, the comprehensive utility analysis module is further configured to:
according to the load factor C of the line when the stored energy is not accessedLF1And the load rate C of the line when the energy storage is accessedLF2Determining the grid blocking benefit E1 as follows:
Figure BDA0003123994270000051
according to capacity S containing energy storage grid connectionEnergy storageDemand capacity S for peak shaving with the power griddemandDetermining a yield E2 of the power grid peak shaving as follows:
Figure BDA0003123994270000052
according to the total line power loss sigma delta S of the system when the energy storage is not accessed1And the total line power loss sigma delta S of the system when the energy storage is accessed2Determining the network loss reduction gain E3 as follows:
Figure BDA0003123994270000053
calculating the other benefit scoring indexes E according to the power grid blocking benefit E1, the benefit E2 of power grid peak shaving and the network loss reduction benefit E3benefitsThe following are:
Ebenefits=E1+E2+E3。
preferably, the output module is further configured to obtain a comprehensive benefit evaluation result E, as follows:
E=i1*Esecurity+i2*Eeconomy+i3*Ebenefits
wherein i1,i2,i3Weighting coefficients representing safety, economy and other benefits, respectively.
The method comprises the steps of selecting the type, the installation position and the access capacity of energy storage grid connection, and establishing a model for safety and stability analysis, economic analysis and other benefit analysis of the power system; determining a safety and stability score index of a safety and stability analysis model by adopting steady-state thermal stability analysis, transient state N-1 scanning and transient state N-2 scanning of a power system, evaluating the economic analysis model by adopting an investment economy measuring and calculating index to obtain the economic score index, inputting preset power grid blocking benefit, power grid peak shaving benefit and power grid loss reduction benefit into other benefit analysis models for summation calculation, and obtaining other benefit score indexes; and performing weighted calculation according to the safety and stability scoring index, the economic scoring index and other benefit scoring indexes to obtain a comprehensive benefit evaluation result. The invention simultaneously considers the comprehensive evaluation of the safety, the economy and other benefits of the energy storage grid connection, and improves the evaluation efficiency of the energy storage grid connection.
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In order to more clearly illustrate the technical solution of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flow diagram of a comprehensive utility evaluation method based on energy storage grid connection according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of a comprehensive utility evaluation method based on energy storage grid connection according to another embodiment of the present invention;
fig. 3 is a schematic structural diagram of a comprehensive utility evaluation system based on energy storage grid connection according to an embodiment of the present invention.
Detailed Description
The technical solutions in the present invention will be described clearly and completely with reference to the accompanying drawings, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be understood that the step numbers used herein are for convenience of description only and are not used as limitations on the order in which the steps are performed.
It is to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the specification of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
The terms "comprises" and "comprising" indicate the presence of the described features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
The term "and/or" refers to and includes any and all possible combinations of one or more of the associated listed items.
Referring to fig. 1, the present invention provides a comprehensive utility evaluation method based on energy storage grid connection, including:
s101, selecting the type, the installation position and the access capacity of energy storage grid connection according to a preset electric power system safety and stability analysis basic model, and establishing a safety and stability analysis model, an economic analysis model and other benefit analysis models of an electric power system; the types of the energy storage grid connection comprise water-containing energy storage, electrochemical energy storage, compressed air energy storage and flywheel energy storage, and the installation positions comprise a power supply side, a power grid side and a user side.
Specifically, grid structure information of a regional power grid is obtained from power system planning operation software, a power system safety and stability analysis basic model is established, the type, the installation position and the access capacity of energy storage grid connection are selected, a grid structure of the regional power grid including the energy storage grid connection is established, and a basic model including the energy storage grid connection for power system safety and stability analysis, economic analysis and other utility analysis is established.
The grid structure information of the regional power grid is acquired from the planning and operation software of the power system, the grid structure information comprises key parameters such as power supply equipment, line parameters, load parameters and the like of the power system, the power and electric quantity balance factors of the power system are effectively covered, a power system safety and stability analysis basic model is established, and the parameters of the power system safety and stability model are shown in table 1:
table 1: electric power system stable model parameter table
Figure BDA0003123994270000071
Selecting four types of energy storage such as water energy storage, electrochemical energy storage, compressed air energy storage and flywheel energy storage; the selected installation positions comprise a power supply side installation position, a power grid side installation position and a user side installation position; the access capacity is filled by a user according to a target value of planning energy storage grid connection, the unit is MVA, the power supply side considers energy storage grid connection, grid connection is completed by modifying a parameter SP of power supply output of a power supply node P, the power grid side considers energy storage grid connection, grid connection is completed by modifying a parameter STS of load in a transformer substation of a transformer substation node TS, the user side considers energy storage grid connection, grid connection is completed by modifying a load parameter SL of a load node L, an economic model of energy storage grid connection is considered, the power supply side energy storage considers the economic benefit of configuring energy storage participation secondary frequency modulation auxiliary service and new energy configuration energy storage economic benefit, the power supply side energy storage considers the economic benefit of increasing power supply quantity, reducing network loss, reducing electricity purchasing cost and replacing benefit, and the energy storage of the user side considers energy storage of industrial and commercial users to save electricity expenses economic benefit; establishing a basic model containing energy storage grid-connected electric power system safety and stability analysis, economic analysis and other utility analysis by modifying grid structure parameters, wherein the modification mode is shown in table 2:
table 2: modifying parameter conditions taking into account stored energy
Figure BDA0003123994270000072
Figure BDA0003123994270000081
S102, determining a safety and stability scoring index of the safety and stability analysis model by adopting steady-state thermal stability analysis, transient N-1 scanning and transient N-2 scanning of the power system, evaluating the economic analysis model by adopting an investment economy measuring and calculating index, obtaining the economic scoring index, inputting preset power grid blocking benefit, power grid peak shaving benefit and power grid loss reduction benefit into other benefit analysis models for summation calculation, and obtaining other benefit scoring indexes.
Referring to fig. 2, specifically, the safety and stability analysis of the power system including the energy storage grid connection is performed, the safety and stability analysis includes steady-state thermal stability analysis, transient N-1 scanning and transient N-2 scanning of the power system, the safety index of the regional power system including the energy storage access is evaluated, the calculation result needs to meet the basic safety requirement, the economic analysis and other benefit analysis are performed when the basic safety requirement is met, the result is directly output by the power system including the energy storage grid connection which does not meet the basic safety requirement, and the comprehensive utility analysis including the energy storage grid connection is calculated under the condition of ensuring the safe and stable operation of the power system.
Firstly, performing safety and stability analysis of an electric power system containing energy storage grid connection, including steady-state power flow analysis and transient process analysis of the electric power system, setting a certain generator node on a power supply side as a generator balance node (indicated by subscript S) and other power supply nodes, substation nodes and load nodes as PQ nodes (indicated by subscript N) in the analysis process, and recording that the voltage amplitude vector of an unknown node is VNThe phase angle vector of the node voltage is deltaNAnd respectively recording the active power vector and the reactive power vector of the node with the known quantity as PNAnd QN,PNAnd QNIs diag (P)N) And diag (Q)N) The real and imaginary parts of the nodal admittance matrix are G and B, respectively. The voltage of the balance node is VSThe real part and imaginary part of the node admittance matrix of the balanced node S and other nodes N are respectively GNSAnd BNSThe real part and the imaginary part of the self-admittance matrix of other nodes N are GNNAnd BNNThen, the matrix form is as follows:
Figure BDA0003123994270000091
calculating to obtain the voltage amplitude vector of the unknown node as VNThe phase angle vector of the node voltage is deltaNAnd sequentially calculating the power loss of each section of the feeder line section by using the node power and the node voltage through the feeder line section connected with the load from each tail end load node against the power transmission direction, and further solving the accumulated power of the last node (through the connected nodes) of each node until the accumulated power reaches the root node of the bus. Note that the power of the XY injection node Y of the line is S "XYNode Y has power SYAnd the power of a node Y injection line YZ is S'YZZ meterDenotes the end node of line YZ (Z. di. epsilon. N)YRepresenting all Z nodes adjacent to Y), the power loss on line XY is Δ SXYActive power of a line XY injection node X is P'XYThe reactive power of the XY injection node X of the line is Q'XYThe resistance and reactance of the line XY are RXYAnd XXYVoltage of node Y is UYAnd the power of the node X injection line XY is S'XYThen, there are:
Figure BDA0003123994270000092
Figure BDA0003123994270000093
S'XY=S”XY+ΔSXY
the calculation result needs to meet the basic requirement of safety, the basic requirement of system safety is that the steady-state thermal stability requirement of the power system needs to be met and the transient N-1 scanning result is qualified, the steady-state thermal stability analysis of the power system is carried out according to the calculation result, the main criteria of the static safety analysis of the power system are that the equipment is not overloaded after the N-1 is cut off, the voltage of a system bus is not out of limit, and U is not out of limitXRepresenting the voltage of node X, UXNRepresenting the reference voltage of node X, the calculation result being required to satisfy the basic requirement of safety, line CXYLoad factor C ofLFLess than or equal to 100 percent, the system bus voltage does not exceed +/-10 percent of the rated voltage of the system, namely the safety requirement of the power system and the load factor C are metLFCalculating method, wherein power of injection line XY of node X is S'XYObtaining rated current carrying capacity S of the line according to XY model of the lineXYN
Figure BDA0003123994270000094
The steady state thermal stability of the power system is analyzed as follows:
CLF≤100%;
Figure BDA0003123994270000095
wherein, UXRepresenting the voltage of node X, UXNRepresenting the reference voltage at node X.
The calculation result of three-phase short circuit transient N-1 scanning needs to meet the safety requirement, the criterion of transient stability is that after the power grid is subjected to large disturbance every time, the power angle between each unit of the power system is relatively increased, synchronous attenuation oscillation is carried out in the first or second oscillation period, the system pivot point voltage is gradually recovered, the safety score of the power system containing the energy storage grid connection is calculated, three-phase short circuit transient N-2 scanning is carried out, if the power system containing the energy storage grid connection does not meet the N-2 safety requirement, the safety score of the system containing the energy storage grid connection is deducted, and the system safety score E issecurityThe full score is calculated by 100 points, if one point does not meet the N-2 safety requirement, the system safety score is deducted by 10 points, when the system safety score is 0 point, the system does not meet the basic safety requirement, the next calculation is carried out when the basic safety requirement is met, the output result of the power system containing the energy storage grid connection which does not meet the safety requirement is output, the comprehensive utility analysis containing the energy storage grid connection is calculated under the condition of ensuring the safe and stable operation of the power system, and the system safety score (Time represents the frequency of the unqualified condition of N-2):
Esecurity=100-10*Time;
where Time represents the number of times the transient N-2 scan fails.
Secondly, on the basis of qualified safety, carrying out economic analysis of energy storage-containing grid connection, evaluating the economic of the energy storage-containing grid connection by using an investment economy measuring index alpha, wherein alpha is 1 to represent balance, the higher the numerical value is, the better the economic is, and CincomeThe price of electricity sold to the grid by the energy storage device, CspendingThe cost of purchasing electricity from the energy storage device to the grid, or the cost of generating electricity from a self-contained distributed power plant, η is the energy efficiency of the energy storage device, B is the initial investment in energy storage output per kilowatt-hour, or the total investment may be divided by the maximum energy releaseThe large value gives T as the cycle life of the energy storage device, hDODThe depth value (percentage of battery charge and discharge and battery rated capacity, DOD) of the energy storage device is CmainFor the operation maintenance cost that energy storage output corresponds per kilowatt-hour, consider the type that the energy storage constitutes, the energy storage technology economic characteristics of different grade type are different, consider that the cost of energy storage system of different types such as pumped storage, electrochemistry energy storage, compressed air energy storage, flywheel energy storage is as shown in table 3:
TABLE 3 cost of different types of energy storage systems
Figure BDA0003123994270000101
Figure BDA0003123994270000111
Determining the operating profit margin I of the energy storage device according to the investment economy measuring index alpha as follows:
Figure BDA0003123994270000112
I=(α-1)*100%;
wherein, CincomeRepresenting the price of electricity sold by the energy storage device to the grid, CspendingRepresenting the cost of the energy storage device to purchase electricity from the grid, η representing the energy efficiency of the energy storage device, B representing the initial investment in energy storage output per kilowatt-hour, T representing the cycle life of the energy storage device, hDODIndicating the charging and discharging depth value of the energy storage device, CmainAnd representing the operation and maintenance cost corresponding to the energy storage output per kilowatt hour.
Calculating economic score E of power system containing energy storage grid connectioneconomyEvaluating the operating profit margin of the energy storage grid-connected device, wherein the profit margin I is 0 to represent balance of income and expenditure, Eeconomy100 points, the operating profit rate of the energy storage device is increased by 1% every time, and the economic score of the power system containing the energy storage grid connection is EeconomyAdding 1 point, the higher the operating profit rate of the system energy storage device is, the higher the economic score is, and the economic score is: determining an economic score index E according to the operating profit margin I of the energy storage deviceeconomyThe following are:
Eeconomy=100+100I;
wherein, the profit margin I represents balance when being 0, and the higher the operation profit margin I is, the higher the economic score is.
Finally, carrying out other benefit analysis including energy storage grid connection, and calculating other benefit score E including energy storage grid connectionbenefitsThe energy storage grid connection benefit comprises an energy storage grid connection benefit E1 for relieving grid blocking benefit, a power grid peak regulation benefit E2 and a grid loss reduction benefit E3, and if a supply resistor is blocked, namely the load rate of a line is more than or equal to 80% and less than or equal to C before energy storage grid connectionLFLess than or equal to 100 percent, reduces the power supply blockage by adopting an energy storage grid-connected mode, increases the power supply amount by reducing the line load rate, and obtains the benefit of relieving the power grid blockage, wherein the score of E1 is increased by 1 point and C is increased by 1 point every time the line load rate is reduced by 1 percentLF1Is the load factor of the line when no energy storage is accessed, CLF2Load rate of the line when energy storage is accessed:
Figure BDA0003123994270000121
capacity S containing energy storage grid connectionEnergy storageDemand capacity S for peak shaving with the power griddemandThe ratio of the energy storage capacity to the peak shaving capacity is beta, the E2 is 1 point when the beta is 1%, the higher the beta is, the higher the gain E2 of the peak shaving capacity is:
Figure BDA0003123994270000122
the total line power loss of the system when the energy storage is not accessed is sigma delta S1When the energy storage is accessed, the total line power loss of the system is sigma delta S2And analyzing the network loss reduction profit score by comparing the total line loss reduction conditions of the system containing the energy storage grid connection, wherein the network loss reduction is obtained when the system network loss is reduced by 1 percentThe low profit score increases by 1 point, and the loss of network decreases the profit E3 score:
Figure BDA0003123994270000123
calculating other benefit grading indexes E according to the grid blocking benefit E1, the benefit E2 of grid peak shaving and the benefit E3 of grid loss reductionbenefitsThe following are:
Ebenefits=E1+E2+E3。
s103, carrying out weighted calculation according to the safety and stability scoring index, the economic scoring index and the other benefit scoring indexes to obtain a comprehensive benefit evaluation result.
Referring to fig. 2, specifically, a comprehensive benefit evaluation analysis of the grid-connected system including the energy storage is performed, and the safety E of the grid-connected system including the energy storage is comprehensively evaluatedsecurityEconomy EeconomyOther benefits EbenefitsThe key indexes are weighted according to the importance degree of safety, economy and other benefits, i1,i2,i3Respectively, weighting coefficients of safety, economy and other benefits, and comprehensive benefit score E:
E=i1*Esecurity+i2*Eeconomy+i3*Ebenefits
outputting a comprehensive benefit evaluation score E containing energy storage grid connection, wherein the comprehensive benefit evaluation score E contains a safety analysis score E containing energy storage grid connectionsecurityEconomic analysis score EeconomyOther benefit analysis score EbenefitsAnd the key indexes are used for comprehensively comparing the benefits of different installation positions and different types of energy storage grid connection. And displaying the energy storage grid-connected based system which does not meet the safety index, and prompting a user that the system does not meet the basic safety requirement.
The invention considers the installation position of energy storage grid connection, starts from a power supply side, a power grid side, a user side and the like at multiple angles, provides a comprehensive evaluation method of energy storage grid connection under different installation positions, is suitable for evaluation of multiple installation position scenes, also considers the structure of an energy storage system, starts from different types of energy storage systems such as pumped storage, electrochemical energy storage, compressed air energy storage, flywheel energy storage and the like at multiple angles, considers the difference of economic cost, response characteristics and capacity size of different types of energy storage for detailed analysis, provides a comprehensive evaluation method of grid connection of different energy storage types, is suitable for evaluation of multiple types of energy storage scenes, considers multiple comprehensive evaluation methods, starts from the multi-dimensional angles such as safety, economy, power grid blockage relieving, power grid peak regulation benefit, grid loss reduction benefit and the like of energy storage grid connection, comprehensively analyzes the comprehensive utility of energy storage grid connection, the efficient and convenient energy storage grid-connected management tool is provided for power system planning designers, and the evaluation efficiency of energy storage grid connection is improved.
Referring to fig. 3, the present invention provides a comprehensive utility evaluation system based on energy storage grid connection, including:
the input module 11 is used for selecting the type, the installation position and the access capacity of energy storage grid connection according to a preset power system safety and stability analysis basic model, and establishing a safety and stability analysis model, an economic analysis model and other benefit analysis models of a power system; the types of the energy storage grid connection comprise water-containing energy storage, electrochemical energy storage, compressed air energy storage and flywheel energy storage, and the installation positions comprise a power supply side, a power grid side and a user side.
And the comprehensive utility analysis module 12 is used for determining a safety and stability score index of the safety and stability analysis model by adopting steady-state thermal stability analysis, transient N-1 scanning and transient N-2 scanning of the power system, evaluating the economic analysis model by adopting an investment economic measurement index, acquiring the economic score index, inputting preset power grid blocking benefit, power grid peak shaving benefit and power grid loss reduction benefit into the other benefit analysis models for summation calculation, and acquiring other benefit score indexes.
And the output module 13 is used for performing weighted calculation according to the safety and stability scoring index, the economic scoring index and the other benefit scoring indexes to obtain a comprehensive benefit evaluation result.
Specific limitations of the comprehensive utility evaluation system based on energy storage grid connection can be referred to the limitations above, and are not described herein again. All or part of each module in the comprehensive utility evaluation device based on energy storage grid connection can be realized by software, hardware and combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.

Claims (10)

1. A comprehensive utility evaluation method based on energy storage grid connection is characterized by comprising the following steps:
selecting the type, the installation position and the access capacity of energy storage grid connection according to a preset power system safety and stability analysis basic model, and establishing a safety and stability analysis model, an economic analysis model and other benefit analysis models of a power system; the type of the energy storage grid connection comprises water-containing energy storage, electrochemical energy storage, compressed air energy storage and flywheel energy storage, and the installation position comprises a power supply side, a power grid side and a user side;
determining a safety stability scoring index of the safety stability analysis model by adopting steady-state thermal stability analysis, transient N-1 scanning and transient N-2 scanning of the power system, evaluating the economic analysis model by adopting an investment economic measurement index to obtain an economic scoring index, inputting preset power grid blocking benefit, power grid peak shaving benefit and power grid loss reduction benefit into other benefit analysis models for summation calculation, and obtaining other benefit scoring indexes;
and performing weighted calculation according to the safety and stability scoring index, the economic scoring index and the other benefit scoring indexes to obtain a comprehensive benefit evaluation result.
2. The comprehensive utility evaluation method based on energy storage grid connection according to claim 1, wherein the determining of the safety and stability score index of the safety and stability analysis model by using the steady-state thermal stability analysis, the transient N-1 scanning and the transient N-2 scanning of the power system comprises:
according to the ratio of the power of the node X injected into the line XY to the rated current carrying capacity of the line XY, the load factor C of the line XY is obtainedLFThe following are:
Figure FDA0003123994260000011
the steady-state thermal stability analysis of the power system is as follows:
CLF≤100%;
Figure FDA0003123994260000012
wherein, UXRepresenting the voltage of node X, UXNRepresents the reference voltage of node X;
according to the obtained steady-state thermal stability analysis result of the power system, performing the transient N-1 scanning and the transient N-2 scanning to obtain the safety and stability scoring index EsecurityThe following are:
Esecurity=100-10*Time;
wherein Time represents the number of times the transient N-2 scan fails.
3. The comprehensive utility evaluation method based on energy storage grid connection according to claim 1, wherein the evaluating the economic analysis model by using the economic investment calculation index to obtain an economic score index comprises:
determining the operating profit margin I of the energy storage device according to the economic investment measurement index alpha as follows:
Figure FDA0003123994260000021
I=(α-1)*100%;
wherein, CincomeRepresenting the price of electricity sold by the energy storage device to the grid, CspendingRepresenting the cost of the energy storage device to purchase electricity from the grid, η representing the energy efficiency of the energy storage device, B representing the initial investment in energy storage output per kilowatt-hour, T representing the cycle life of the energy storage device, hDODIndicating the charging and discharging depth value of the energy storage device, CmainRepresenting the operation and maintenance cost corresponding to the energy storage output per kilowatt hour;
determining the economic score index E according to the operating profit margin I of the energy storage deviceeconomyThe following are:
Eeconomy=100+100I;
wherein, the profit margin I is 0 to represent the balance of income and expenditure, and the higher the operation profit margin I is, the higher the economic score is.
4. The comprehensive utility evaluation method based on energy storage grid connection according to claim 1, wherein the preset grid blocking benefit, grid peak shaving benefit and grid loss reduction benefit are input into the other benefit analysis models for summation calculation to obtain other benefit scoring indexes, and the method comprises the following steps:
according to the load factor C of the line when the stored energy is not accessedLF1And the load rate C of the line when the energy storage is accessedLF2Determining the grid blocking benefit E1 as follows:
Figure FDA0003123994260000022
according to capacity S containing energy storage grid connectionEnergy storageDemand capacity S for peak shaving with the power griddemandDetermining a yield E2 of the power grid peak shaving as follows:
Figure FDA0003123994260000023
according to the total line power of the system when the energy storage is not accessedRate loss ∑ Δ S1And the total line power loss sigma delta S of the system when the energy storage is accessed2Determining the network loss reduction gain E3 as follows:
Figure FDA0003123994260000024
calculating the other benefit scoring indexes E according to the power grid blocking benefit E1, the benefit E2 of power grid peak shaving and the network loss reduction benefit E3benefitsThe following are:
Ebenefits=E1+E2+E3。
5. the comprehensive utility evaluation method based on energy storage grid connection according to any one of claims 2 to 4, characterized in that the comprehensive benefit evaluation result E is obtained as follows:
E=i1*Esecurity+i2*Eeconomy+i3*Ebenefits
wherein i1,i2,i3Weighting coefficients representing safety, economy and other benefits, respectively.
6. The utility model provides a comprehensive utility evaluation system based on energy storage is incorporated into power networks which characterized in that includes:
the input module is used for selecting the type, the installation position and the access capacity of energy storage grid connection according to a preset power system safety and stability analysis basic model, and establishing a safety and stability analysis model, an economic analysis model and other benefit analysis models of the power system; the type of the energy storage grid connection comprises water-containing energy storage, electrochemical energy storage, compressed air energy storage and flywheel energy storage, and the installation position comprises a power supply side, a power grid side and a user side;
the comprehensive utility analysis module is used for determining a safety and stability score index of the safety and stability analysis model by adopting steady-state thermal stability analysis, transient N-1 scanning and transient N-2 scanning of the power system, evaluating the economic analysis model by adopting an investment economic measurement index, acquiring the economic score index, inputting preset power grid blocking benefit, power grid peak shaving benefit and power grid loss reduction benefit into the other benefit analysis models for summation calculation, and acquiring other benefit score indexes;
and the output module is used for carrying out weighted calculation according to the safety and stability scoring index, the economic scoring index and the other benefit scoring indexes to obtain a comprehensive benefit evaluation result.
7. The comprehensive utility evaluation system based on energy storage grid connection according to claim 6, wherein the comprehensive utility analysis module is further configured to:
according to the ratio of the power of the node X injected into the line XY to the rated current carrying capacity of the line XY, the load factor C of the line XY is obtainedLFThe following are:
Figure FDA0003123994260000031
the steady-state thermal stability analysis of the power system is as follows:
CLF≤100%;
Figure FDA0003123994260000032
wherein, UXRepresenting the voltage of node X, UXNRepresents the reference voltage of node X;
according to the obtained steady-state thermal stability analysis result of the power system, performing the transient N-1 scanning and the transient N-2 scanning to obtain the safety and stability scoring index EsecurityThe following are:
Esecurity=100-10*Time;
wherein Time represents the number of times the transient N-2 scan fails.
8. The comprehensive utility evaluation system based on energy storage grid connection according to claim 6, wherein the comprehensive utility analysis module is further configured to:
determining the operating profit margin I of the energy storage device according to the economic investment measurement index alpha as follows:
Figure FDA0003123994260000041
I=(α-1)*100%;
wherein, CincomeRepresenting the price of electricity sold by the energy storage device to the grid, CspendingRepresenting the cost of the energy storage device to purchase electricity from the grid, η representing the energy efficiency of the energy storage device, B representing the initial investment in energy storage output per kilowatt-hour, T representing the cycle life of the energy storage device, hDODIndicating the charging and discharging depth value of the energy storage device, CmainRepresenting the operation and maintenance cost corresponding to the energy storage output per kilowatt hour;
determining the economic score index E according to the operating profit margin I of the energy storage deviceeconomyThe following are:
Eeconomy=100+100I;
wherein, the profit margin I is 0 to represent the balance of income and expenditure, and the higher the operation profit margin I is, the higher the economic score is.
9. The comprehensive utility evaluation system based on energy storage grid connection according to claim 6, wherein the comprehensive utility analysis module is further configured to:
according to the load factor C of the line when the stored energy is not accessedLF1And the load rate C of the line when the energy storage is accessedLF2Determining the grid blocking benefit E1 as follows:
Figure FDA0003123994260000042
according to capacity S containing energy storage grid connectionEnergy storageDemand capacity S for peak shaving with the power griddemandDetermining a yield E2 of the power grid peak shaving as follows:
Figure FDA0003123994260000043
according to the total line power loss sigma delta S of the system when the energy storage is not accessed1And the total line power loss sigma delta S of the system when the energy storage is accessed2Determining the network loss reduction gain E3 as follows:
Figure FDA0003123994260000044
calculating the other benefit scoring indexes E according to the power grid blocking benefit E1, the benefit E2 of power grid peak shaving and the network loss reduction benefit E3benefitsThe following are:
Ebenefits=E1+E2+E3。
10. the comprehensive utility evaluation system based on energy storage grid connection according to any one of claims 7 to 9, wherein the output module is further configured to obtain a comprehensive benefit evaluation result E as follows:
E=i1*Esecurity+i2*Eeconomy+i3*Ebenefits
wherein i1,i2,i3Weighting coefficients representing safety, economy and other benefits, respectively.
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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113625172A (en) * 2021-08-11 2021-11-09 万克能源科技有限公司 Lithium battery energy storage operation benefit influence factor analysis method
CN114264952A (en) * 2022-02-28 2022-04-01 欧米勒电气有限公司 Circuit breaker running state feature management system based on data processing
CN117893040A (en) * 2023-12-19 2024-04-16 国家电网有限公司华东分部 Evaluation method and device for elastic value of power distribution network user side resource and storage medium

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104537575A (en) * 2014-12-22 2015-04-22 国家电网公司 Computing method of power grid safety economy high-quality operation comprehensive index
CN108647415A (en) * 2018-04-28 2018-10-12 国网湖南省电力有限公司 The reliability estimation method of electric system for high proportion wind-electricity integration
CN108985552A (en) * 2018-06-05 2018-12-11 东南大学 A kind of distributing-supplying-energy system Establishment of integrated evaluation index system
CN109508882A (en) * 2018-11-13 2019-03-22 国网经济技术研究院有限公司 Power grid planning evaluation method and system
CN109615245A (en) * 2018-12-14 2019-04-12 国网山东省电力公司经济技术研究院 A kind of method of pair of Electric Power Network Planning total evaluation
CN109615244A (en) * 2018-12-13 2019-04-12 国网山东省电力公司经济技术研究院 A kind of integrated evaluating method for considering different type power supply and networking
CN112907129A (en) * 2021-03-24 2021-06-04 国网安徽省电力有限公司蚌埠供电公司 Energy storage comprehensive benefit evaluation index system

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104537575A (en) * 2014-12-22 2015-04-22 国家电网公司 Computing method of power grid safety economy high-quality operation comprehensive index
CN108647415A (en) * 2018-04-28 2018-10-12 国网湖南省电力有限公司 The reliability estimation method of electric system for high proportion wind-electricity integration
CN108985552A (en) * 2018-06-05 2018-12-11 东南大学 A kind of distributing-supplying-energy system Establishment of integrated evaluation index system
CN109508882A (en) * 2018-11-13 2019-03-22 国网经济技术研究院有限公司 Power grid planning evaluation method and system
CN109615244A (en) * 2018-12-13 2019-04-12 国网山东省电力公司经济技术研究院 A kind of integrated evaluating method for considering different type power supply and networking
CN109615245A (en) * 2018-12-14 2019-04-12 国网山东省电力公司经济技术研究院 A kind of method of pair of Electric Power Network Planning total evaluation
CN112907129A (en) * 2021-03-24 2021-06-04 国网安徽省电力有限公司蚌埠供电公司 Energy storage comprehensive benefit evaluation index system

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
苏伟等: "储能技术经济性评估方法综述", 《广东电力》 *
赵伯铉: "基于安全等级划分的电网运行经济性综合评价研究", 《中国优秀硕士论文电子期刊网》 *

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113625172A (en) * 2021-08-11 2021-11-09 万克能源科技有限公司 Lithium battery energy storage operation benefit influence factor analysis method
CN113625172B (en) * 2021-08-11 2024-06-07 万克能源科技有限公司 Analysis method for influence factors of lithium battery energy storage operation and maintenance optimization
CN114264952A (en) * 2022-02-28 2022-04-01 欧米勒电气有限公司 Circuit breaker running state feature management system based on data processing
CN114264952B (en) * 2022-02-28 2022-05-06 欧米勒电气有限公司 Circuit breaker running state feature management system based on data processing
CN117893040A (en) * 2023-12-19 2024-04-16 国家电网有限公司华东分部 Evaluation method and device for elastic value of power distribution network user side resource and storage medium

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