CN113240350B - 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

Info

Publication number
CN113240350B
CN113240350B CN202110690346.9A CN202110690346A CN113240350B CN 113240350 B CN113240350 B CN 113240350B CN 202110690346 A CN202110690346 A CN 202110690346A CN 113240350 B CN113240350 B CN 113240350B
Authority
CN
China
Prior art keywords
energy storage
benefit
power
economic
safety
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202110690346.9A
Other languages
Chinese (zh)
Other versions
CN113240350A (en
Inventor
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
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangdong Power Grid Co Ltd
Original Assignee
Guangdong Power Grid Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Guangdong Power Grid Co Ltd filed Critical Guangdong Power Grid Co Ltd
Priority to CN202110690346.9A priority Critical patent/CN113240350B/en
Publication of CN113240350A publication Critical patent/CN113240350A/en
Application granted granted Critical
Publication of CN113240350B publication Critical patent/CN113240350B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Energy or water supply
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/80—Management or planning
    • Y02P90/82—Energy audits or management systems therefor
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Landscapes

  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Engineering & Computer Science (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Health & Medical Sciences (AREA)
  • Educational Administration (AREA)
  • Marketing (AREA)
  • Development Economics (AREA)
  • Theoretical Computer Science (AREA)
  • Tourism & Hospitality (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Public Health (AREA)
  • Primary Health Care (AREA)
  • Water Supply & Treatment (AREA)
  • General Health & Medical Sciences (AREA)
  • Game Theory and Decision Science (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Supply And Distribution Of Alternating Current (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

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 a development strategy of a novel power system mainly based on new energy, the investment and application of energy storage in the whole power system will be increased explosively, the energy time carrying function of energy storage is flexible, renewable energy power generation is more friendly and controllable to a power grid, the renewable energy power generation participates in auxiliary services such as power grid peak regulation, frequency modulation and the like, support is provided for safe operation of the power grid, the renewable energy power generation device can be arranged on a user side, various requirements such as peak-valley regulation, power supply capacity improvement, power supply reliability improvement and the like are provided for the user, large-capacity pumped storage is used as the largest energy storage of the power system and has been applied more, in recent years, with the rapid progress of a non-pumped storage energy storage technology represented by a lithium battery, the energy storage is applied in a large scale on the power generation side, the power grid side and the user side, and becomes an important component and key support technology for energy clean transformation and energy internet development in China.
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, overall planning of energy storage in various aspects and industries is also needed, greater overall social benefits and comprehensive benefits are obtained, energy storage investors are complex in composition and can be composed of power grid companies, power supply companies, users and third-party investment subjects, access places are divided into power grid sides, power supply sides or user sides, different access places, investors and evaluation indexes of the profit of the energy investors are different, comprehensive energy storage benefit evaluation of the energy storage is needed, investment ways of the energy storage main bodies are needed, potential benefits of other main bodies are analyzed, and overall energy storage benefits of the power grid, the energy storage side and the overall social benefits of the energy storage and the user are analyzed for multiple angles of the energy storage. 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 a power system, evaluating the economic analysis model by adopting an investment economic measurement index, obtaining the economic scoring index, inputting preset power grid blocking benefit, power grid peak regulation benefit and power 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 obtained LF The following:
Figure BDA0003123994270000021
the steady-state thermal stability analysis of the power system is as follows:
C LF ≤100％；
Figure BDA0003123994270000022
wherein, U X Representing the voltage of node X, U XN Represents 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 E security The following are:
E security ＝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:
and determining the operating profit margin I of the energy storage device according to the economic investment measurement index alpha, wherein the operating profit margin I comprises the following steps:
Figure BDA0003123994270000023
I＝(α-1)*100％；
wherein, C income Representing the price of electricity sold by the energy storage device to the grid, C spending Represents the cost of the energy storage device to purchase electricity from the grid, η represents the energy efficiency of the energy storage device, and B represents the initial throw of the energy storage output per kilowatt-hourT denotes the cycle life of the energy storage device, h DOD Indicating the charging and discharging depth value of the energy storage device, C main Representing 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 device economy The following are:
E economy ＝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 accessed LF1 And the load rate C of the line when the energy storage is accessed LF2 And determining the grid blocking benefit E1 as follows:
Figure BDA0003123994270000031
according to capacity S containing energy storage grid connection Energy storage Demand capacity S for peak shaving with the power grid demand Determining 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 accessed 1 And the total line power loss sigma delta S of the system when the energy storage is accessed 2 Determining the network loss reduction gain E3 as follows:
Figure BDA0003123994270000033
according to the power grid blocking benefit E1, the income E2 of power grid peak shaving and the network loss reduction incomeThe benefit E3 calculates the other benefit score index E benefits The following are:
E benefits ＝E1+E2+E3。
preferably, the comprehensive benefit evaluation result E is obtained as follows:
E＝i 1 *E security +i 2 *E economy +i 3 *E benefits ；
wherein i 1 ,i 2 ,i 3 Weighting 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 obtained LF The following are:
Figure BDA0003123994270000041
the steady-state thermal stability analysis of the power system is as follows:
C LF ≤100％；
Figure BDA0003123994270000042
wherein, U X Representing the voltage of node X, U XN Represents 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 E security The following are:
E security ＝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, C income Representing the price of electricity sold by the energy storage device to the grid, C spending Representing 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, h DOD Indicating the charging and discharging depth value of the energy storage device, C main Representing 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 device economy The following are:
E economy ＝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 energy storage is not accessed LF1 And the load rate C of the line when the energy storage is accessed LF2 And determining the grid blocking benefit E1 as follows:
Figure BDA0003123994270000051
according to capacity S containing energy storage grid connection Energy storage Demand capacity S for peak shaving with the power grid demand Determining 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 accessed 1 And the total line power loss sigma delta S of the system when the energy storage is accessed 2 Determining the network loss reduction gain E3 as follows:
Figure BDA0003123994270000053
calculating other benefit grading indexes E according to the power grid blocking benefit E1, the power grid peak shaving benefit E2 and the network loss reduction benefit E3 benefits The following:
E benefits ＝E1+E2+E3。
preferably, the output module is further configured to obtain a comprehensive benefit evaluation result E, as follows:
E＝i 1 *E security +i 2 *E economy +i 3 *E benefits ；
wherein i 1 ,i 2 ,i 3 Weighting 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.
Drawings
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 obtained by a person skilled in the art without inventive step based on the embodiments of the present invention, are within the scope of protection of the present invention.
It should be understood that the step numbers used herein are only for convenience of description 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 V N The phase angle vector of the node voltage is delta N And respectively recording the active power vector and the reactive power vector of the node with the known quantity as P N And Q N ，P N And Q N Is 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 V S Balancing the node S with other nodesThe real part and the imaginary part of the node admittance matrix of N are respectively G NS And B NS The real part and the imaginary part of the self-admittance matrix of other nodes N are G NN And B NN Then, the matrix form is as follows:
Figure BDA0003123994270000091
calculating to obtain the voltage amplitude vector of the unknown node as V N The phase angle vector of the node voltage is delta N And 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 " XY Power of node Y is S Y And the power of a node Y injection line YZ is S' YZ Z represents the end node of the line YZ (Z. Epsilon. N) Y Representing all Z nodes adjacent to Y), the power loss on line XY is Δ S XY Active power of line XY injection node X is P' XY The reactive power of the XY injection node X of the line is Q' XY The resistance and reactance of the line XY are R XY And X XY Voltage of node Y is U Y And the power of the node X injection line XY is S' XY Then, there are:
Figure BDA0003123994270000092
Figure BDA0003123994270000093
S' XY ＝S” XY +ΔS XY ；
the calculation result needs to meet the basic requirement of safety, and the basic requirement of system safety is that the steady-state thermal stability requirement and the transient N-1 scanning result sum of the power system need to be metAnd performing steady-state thermal stability analysis of the power system according to the calculation result, wherein the main criteria of the static safety analysis of the power system are that the equipment is not overloaded after the N-1 is disconnected, the system bus voltage is not out of limit, and the U is used X Representing the voltage of node X, U XN Representing the reference voltage of node X, the calculation result being required to satisfy the basic requirement of safety, line C XY Load factor C of LF Less 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 is met, and the load factor C LF Calculating method, wherein power of injection line XY of node X is S' XY Obtaining rated current carrying capacity S of the line according to XY model of the line XYN ：
Figure BDA0003123994270000094
The steady state thermal stability of the power system is analyzed as follows:
C LF ≤100％；
Figure BDA0003123994270000095
wherein, U X Representing the voltage of node X, U XN Representing the reference voltage of 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 is security The full score is calculated by 100 points, if one part does not meet the N-2 safety requirement, the system safety score is deducted by 10 points, and when the system safety score is 0 point, the system does not meet the basic safety requirement and meets the basic safety requirementThe basic safety requirement is calculated in the next step, the output result of the power system containing the energy storage grid connection and not meeting the safety requirement is calculated, 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 number of times of unqualified N-2):
E security ＝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 grid connection containing energy storage, evaluating the economic of grid connection containing energy storage by using an investment economic measurement index alpha, wherein alpha is 1 to represent balance, the higher the numerical value is, the better the economic is, and C income The price of electricity sold to the grid by the energy storage device, C spending The 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 can be obtained by dividing the total investment by the maximum value of energy release, T is the cycle life of the energy storage device, h DOD The depth value (percentage of battery charge and discharge and battery rated capacity, DOD) of the energy storage device is C main For 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, C income Representing the price of electricity sold by the energy storage device to the grid, C spending Representing 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, h DOD Indicating the charging and discharging depth value of the energy storage device, C main And the operation and maintenance cost corresponding to the energy storage output per kilowatt hour is expressed.
Calculating economic score E of power system containing energy storage grid connection economy Evaluating 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, E economy 100 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 E economy Adding 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 device economy The following are:
E economy ＝100+100I；
wherein, the profit margin I represents the balance of income and expense 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 connection benefits And other benefits including energy storage grid connection are formed by relieving the power grid blocking benefit E1, the power grid peak shaving benefit E2 and the grid loss reduction benefit E3, and if the power 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 the energy storage grid connection LF Less 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 increases the score of E1 and the score of C1 for the benefit of relieving the power grid blockage by every 1 percent when the line load rate is reduced LF1 Is the load factor of the line when no energy storage is accessed, C LF2 For accessing stored energyLoad factor of the road:
Figure BDA0003123994270000121
capacity S containing energy storage grid connection Energy storage Demand capacity S for peak shaving with the power grid demand The ratio of beta to beta represents the capacity ratio beta of the energy storage to participate in peak regulation, E2 is 1 point if beta is 1%, and the higher beta represents the higher gain E2 of the capacity to participate in peak regulation:
Figure BDA0003123994270000122
the total line power loss of the system when not accessing the energy storage is sigma delta S 1 When the energy storage is accessed, the total line power loss of the system is sigma delta S 2 The total line loss of the system that contains the energy storage and is incorporated into the power networks through the comparison goes to analyze the net loss and reduces the income and grade, and the net loss of system reduces the income and grades and increases 1 minute every time reducing 1%, and the net loss reduces the income and grades E3:
Figure BDA0003123994270000123
calculating other benefit grading indexes E according to the blocking benefit E1 of the power grid, the peak shaving benefit E2 of the power grid and the loss reduction benefit E3 of the power grid benefits The following are:
E benefits ＝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 evaluated security Economy E economy Other benefits E benefits The key indexes are weighted according to the importance degree of safety, economy and other benefits, i 1 ,i 2 ,i 3 Are respectively provided withThe weighting coefficients of safety, economy and other benefits, the comprehensive benefit score E:
E＝i 1 *E security +i 2 *E economy +i 3 *E benefits ；
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 connection security Economic analysis score E economy Other benefit analysis score E benefits And 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 the 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 the energy storage grid connection under different installation positions, is suitable for the 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 the economic cost, the response characteristic and the capacity size of different types of energy storage for detailed analysis, provides a comprehensive evaluation method of the grid connection of different energy storage types, is suitable for the evaluation of multiple types of energy storage scenes, considers multiple comprehensive evaluation methods, starts from the multi-dimensional angles such as the safety, the economy, the relief of the grid blockage, the benefits of the grid peak regulation, the loss reduction benefits and the like of the grid connection, comprehensively analyzes the comprehensive utility of the energy storage grid connection, provides an efficient and convenient energy storage grid connection management tool for a power system planning designer, and improves the evaluation efficiency of the energy storage grid connection.
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 regulation benefit and power 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 in the foregoing, 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 through 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 (4)

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;
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;
the method for determining the safety and stability scoring index of the safety and stability analysis model by adopting the steady-state thermal stability analysis, the transient N-1 scanning and the transient N-2 scanning of the power system comprises the following steps:
injecting power S 'of line XY according to node X' XY Rated current carrying capacity S with line XY XYN Obtaining the load factor C of the line XY LF The following are:
Figure FDA0004035414790000011
the steady-state thermal stability analysis of the power system is as follows:
C LF ≤100％；
Figure FDA0004035414790000012
wherein, U X Representing the voltage of node X, U XN Represents the reference voltage of node X;
performing the transient N-1 scanning and transient state according to the obtained steady state thermal stability analysis result of the power systemN-2 scanning to obtain the safety and stability scoring index E security The following:
E security ＝100-10*Time；
wherein the Time represents the number of times that the transient N-2 scanning is unqualified;
the method for evaluating the economic analysis model by adopting the investment economy measuring and calculating index to obtain the economic scoring index comprises the following steps:
and determining the operating profit margin I of the energy storage device according to the economic investment measurement index alpha, wherein the operating profit margin I comprises the following steps:
Figure FDA0004035414790000013
I＝(α-1)*100％；
wherein, C income Representing the price of electricity sold by the energy storage device to the grid, C spending Represents the cost of the energy storage device to purchase electricity from the grid, η represents the energy efficiency of the energy storage device, B represents the initial investment in energy storage output per kilowatt-hour, T represents the cycle life of the energy storage device, h DOD Indicating the charging and discharging depth value of the energy storage device, C main Representing 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 device economy The following are:
E economy ＝100+100I；
the profit margin I is 0 and represents balance of income and expenditure, and the higher the operation profit margin I is, the higher the economic score is;
inputting preset blocking benefits of the power grid, benefits of power grid peak shaving and loss reduction benefits into the other benefit analysis models for summation calculation, and acquiring other benefit scoring indexes, wherein the method comprises the following steps:
according to the load factor C of the line when the stored energy is not accessed LF1 And the load rate C of the line when the energy storage is accessed LF2 And determining the grid blocking benefit E1 as follows:
Figure FDA0004035414790000021
according to capacity S containing energy storage grid connection Energystorage Demand capacity S for peak shaving with the grid demand Determining a yield E2 of the power grid peak shaving as follows:
Figure FDA0004035414790000022
according to the total line power loss sigma delta S of the system when the energy storage is not accessed 1 And the total line power loss sigma delta S of the system when the energy storage is accessed 2 Determining the network loss reduction gain E3 as follows:
Figure FDA0004035414790000023
calculating other benefit grading indexes E according to the power grid blocking benefit E1, the power grid peak shaving benefit E2 and the network loss reduction benefit E3 benefits The following are:
E benefits ＝E1+E2+E3。
2. the comprehensive utility evaluation method based on energy storage grid connection according to any one of claims 1, characterized in that the comprehensive benefit evaluation result E is obtained as follows:
E＝i 1 *E security +i 2 *E economy +i 3 *E benefits ；
wherein i 1 ,i 2 ,i 3 Respectively represent safety and stability scoring indexes E security Economic score index E economy And other benefit score indicators E benefits The weighting coefficient of (2).
3. A comprehensive utility evaluation system based on energy storage is incorporated into power networks, its 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 regulation benefit and power loss reduction benefit into other benefit analysis models for summation calculation, and acquiring other benefit score indexes;
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;
the comprehensive utility analysis module is further configured to:
injecting power S 'of line XY according to node X' XY Rated current carrying capacity S with line XY XYN Obtaining the load factor C of the line XY LF The following are:
Figure FDA0004035414790000031
the steady-state thermal stability analysis of the power system is as follows:
C LF ≤100％；
Figure FDA0004035414790000032
wherein, U X Representing the voltage of node X, U XN Represents 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 E security The following are:
E security ＝100-10*Time；
wherein the Time represents the number of times that the transient N-2 scanning is unqualified;
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 FDA0004035414790000033
I＝(α-1)*100％；
wherein, C income Representing the price of electricity sold by the energy storage device to the grid, C spending Representing 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, h DOD Indicating the charging and discharging depth value of the energy storage device, C main Representing 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 device economy The following are:
E economy ＝100+100I；
the profit margin I is 0 and represents balance of income and expenditure, and the higher the operation profit margin I is, the higher the economic score is;
the comprehensive utility analysis module is further configured to:
according to the load factor C of the line when the stored energy is not accessed LF1 And the load rate C of the line when the energy storage is accessed LF2 And determining the grid blocking benefit E1 as follows:
Figure FDA0004035414790000041
according to the capacity S containing energy storage grid connection Energystorage Demand capacity S for peak shaving with the power grid demand Determining a yield E2 of the power grid peak shaving as follows:
Figure FDA0004035414790000042
according to the total line power loss sigma delta S of the system when the energy storage is not accessed 1 And the total line power loss sigma delta S of the system when the energy storage is accessed 2 Determining the network loss reduction gain E3 as follows:
Figure FDA0004035414790000043
calculating other benefit grading indexes E according to the power grid blocking benefit E1, the power grid peak shaving benefit E2 and the network loss reduction benefit E3 benefits The following are:
E benefits ＝E1+E2+E3。
4. the comprehensive utility evaluation system based on energy storage grid connection according to any one of claims 3, wherein the output module is further configured to obtain a comprehensive benefit evaluation result E as follows:
E＝i 1 *E security +i 2 *E economy +i 3 *E benefits ；
wherein i 1 ,i 2 ,i 3 Respectively represent safety and stability scoring indexes E security Economic score index E economy And other benefit scoring indicators E benefits The weighting coefficient of (2).
CN202110690346.9A 2021-06-21 2021-06-21 Comprehensive utility evaluation method and system based on energy storage grid connection Active CN113240350B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110690346.9A CN113240350B (en) 2021-06-21 2021-06-21 Comprehensive utility evaluation method and system based on energy storage grid connection

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110690346.9A CN113240350B (en) 2021-06-21 2021-06-21 Comprehensive utility evaluation method and system based on energy storage grid connection

Publications (2)

Publication Number Publication Date
CN113240350A CN113240350A (en) 2021-08-10
CN113240350B true CN113240350B (en) 2023-03-21

Family

ID=77140516

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110690346.9A Active CN113240350B (en) 2021-06-21 2021-06-21 Comprehensive utility evaluation method and system based on energy storage grid connection

Country Status (1)

Country Link
CN (1) CN113240350B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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

Family Cites Families (6)

* 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
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 A kind of Electric Power Network 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
CN112907129B (en) * 2021-03-24 2023-10-31 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 (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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

Also Published As

Publication number Publication date
CN113240350A (en) 2021-08-10

Similar Documents

Publication Publication Date Title
CN107294120B (en) Active power distribution network hybrid energy storage capacity optimal configuration method and device
CN109038560B (en) Power distribution network distributed energy storage economy evaluation method and system based on operation strategy
Gbadegesin et al. Techno-economic analysis of storage degradation effect on levelised cost of hybrid energy storage systems
CN110601198B (en) Hybrid micro-grid optimized operation method considering harmonic and voltage unbalance constraints
CN111009914A (en) Active power distribution network-oriented energy storage device location and volume determination method
CN112531689A (en) Source network load storage coordination control capability assessment method and equipment of receiving-end power system
CN113240350B (en) Comprehensive utility evaluation method and system based on energy storage grid connection
CN109962485B (en) Source network charge-friendly interaction-oriented composite energy storage device site selection and volume fixing method
CN102570490A (en) Intelligent charge-discharge control method for electric vehicle
CN116415799B (en) Energy storage scale and structure planning method and system
CN116961052A (en) Method and system for locating and sizing distributed energy storage system
CN115021406B (en) Microgrid controller integrating economic model predictive control
SUN et al. Optimal placement and sizing of grid-scale energy storage in distribution networks with security constrains
Barutcu Examination of the chance constrained optimal wt penetration level in distorted distribution network with wind speed and load uncertainties
CN116187019A (en) Virtual power plant economic dispatching method with wind-solar storage considering step carbon price
CN113065981B (en) Source-storage-network coordination planning method considering energy storage comprehensive income
Hemmati et al. Uncertainty management in power system operation decision making
CN113591224A (en) Urban power grid cascading failure risk assessment method and system
CN113469436A (en) Urban power grid side energy storage planning method
CN112865101A (en) Linear transaction method considering uncertainty of output of renewable energy
CN112510678A (en) Time sequence simulation-based power selling company distributed power capacity configuration method
CN117745092B (en) Distributed energy storage economical efficiency evaluation method and system based on operation strategy
Liang et al. Multi-objective Optimal Configuration of Distributed Energy Storage in Distribution Network Considering Different User Characteristics
KR102544189B1 (en) Distributed Power Current Analysis System and the Same Method
CN111723993B (en) Double-layer cooperative scheduling method, device, terminal and storage medium for power distribution network

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant