CN111242517B - Power grid reserve capacity adjustment method, system and equipment - Google Patents

Power grid reserve capacity adjustment method, system and equipment Download PDF

Info

Publication number
CN111242517B
CN111242517B CN202010185761.4A CN202010185761A CN111242517B CN 111242517 B CN111242517 B CN 111242517B CN 202010185761 A CN202010185761 A CN 202010185761A CN 111242517 B CN111242517 B CN 111242517B
Authority
CN
China
Prior art keywords
standby
cost
unit
market
whole network
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
CN202010185761.4A
Other languages
Chinese (zh)
Other versions
CN111242517A (en
Inventor
关玉衡
张乔榆
肖云鹏
张兰
张轩
白杨
罗钢
刘思捷
董锴
蔡秋娜
董超
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.)
Electric Power Dispatch Control Center of Guangdong Power Grid Co Ltd
Original Assignee
Electric Power Dispatch Control Center of 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 Electric Power Dispatch Control Center of Guangdong Power Grid Co Ltd filed Critical Electric Power Dispatch Control Center of Guangdong Power Grid Co Ltd
Priority to CN202010185761.4A priority Critical patent/CN111242517B/en
Publication of CN111242517A publication Critical patent/CN111242517A/en
Application granted granted Critical
Publication of CN111242517B publication Critical patent/CN111242517B/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
    • G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
    • 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
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06315—Needs-based resource requirements planning or 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
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201—Market modelling; Market analysis; Collecting market data
    • G06Q30/0206—Price or cost determination based on market factors
    • 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
    • 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
    • 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
    • Y04S50/00—Market activities related to the operation of systems integrating technologies related to power network operation or related to communication or information technologies
    • Y04S50/14—Marketing, i.e. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards

Landscapes

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

Abstract

The invention discloses a method, a system and equipment for adjusting the spare capacity of a power grid, comprising the following steps: acquiring basic data of power grid operation; calculating the running standby cost of the whole network and the load standby cost of the whole network; calculating the accident standby cost of the whole network; and establishing a unit standby market cost allocation model and a user standby market cost allocation model, solving to obtain a cost allocation result of each unit and a cost allocation result of each user, and adjusting the standby capacity of the power grid according to the cost allocation result. The two types of market main bodies of the generator set and the power consumer respectively bear compensation cost generated for meeting the standby requirement of the generator set and the power consumer, the standby auxiliary service market compensation cost of each market main body is allocated more finely from the two aspects of the load rate of the generator set and the power consumption of the power consumer, the standby capacity of the power grid is adjusted according to the allocation result, and the redundancy of the standby capacity and the running safety of the power grid are ensured.

Description

Power grid reserve capacity adjustment method, system and equipment
Technical Field
The present invention relates to the field of power networks, and in particular, to a method, a system, and an apparatus for adjusting a standby capacity of a power grid.
Background
In the power grid operation mode arrangement and real-time scheduling operation, in order to cope with uncertain events such as instantaneous load fluctuation, load prediction deviation, accidental shutdown of equipment and the like, extra active capacity is reserved for operation standby so as to ensure safe operation and reliable power supply of the power grid. The operational standby uses can be classified into "load standby" and "accident standby", and the standby features can be classified into "rotational standby" and "non-rotational standby". The load reserve refers to reserve capacity which is connected to a bus and can be loaded immediately, is used for balancing instantaneous load fluctuation and load predicted deviation, and belongs to rotation reserve; the accident standby refers to the standby capacity which can be called in a specified time, is used for coping with power shortage caused by unplanned outage of power generation equipment or power transmission and transformation equipment, and can be provided by rotating standby and non-rotating standby at the same time.
At present, the compensation method for providing standby auxiliary service by the generator set is still carried out according to two rules, along with the rapid construction of the spot electric energy market of each province, under the condition that the current standby auxiliary service compensation force is limited, the possibility that the future generator set participates in the spot electric energy market transaction for obtaining more economic benefits and reducing the reserve capacity reservation exists, and then the system operation reserve capacity shortage can be caused, and the condition that the operation safety of the electric power system is influenced occurs, so that the standby auxiliary service market suitable for the spot electric energy market must be established.
The construction of the standby auxiliary service market can realize centralized bidding of each generator set, and the maximization of social benefit is realized on the premise of meeting the operation standby requirement of the power grid, so that reasonable benefits of the standby auxiliary service generator set are ensured to be provided. However, the design of the compensation cost allocation mechanism in the standby auxiliary service markets at home and abroad is still not fine enough, and the market fairness principle of 'who causes and allocates' is not fully reflected, so that the compensation cost allocation proportion of the main market bodies cannot be determined according to the responsibility difference of the main market bodies in the standby auxiliary service market, the system operation standby capacity is short, and the operation safety of the power system is influenced.
In summary, in the prior art, the standby auxiliary service market cannot determine the compensation cost allocation proportion, so that the technical problem of running standby capacity shortage of the power system exists.
Disclosure of Invention
The invention provides a method, a system and equipment for adjusting the spare capacity of a power grid, which are used for solving the technical problem that the spare auxiliary service market in the prior art cannot determine the compensation cost allocation proportion, so that the running spare capacity shortage exists in a power system.
The invention provides a method for adjusting the spare capacity of a power grid, which comprises the following steps:
acquiring basic data of power grid operation;
calculating the running standby cost of the whole network based on the basic data;
calculating the accident standby cost of the whole network according to the operation standby cost of the whole network and the load standby cost of the whole network;
establishing a unit standby market charge allocation model based on the accident standby charge of the whole network, and establishing a user standby market charge allocation model based on the load standby charge of the whole network;
respectively solving a unit standby market cost allocation model and a user standby market cost allocation model to obtain a cost allocation result of each unit and a cost allocation result of each user;
and adjusting the spare capacity of the power grid according to the cost allocation result of each unit and the cost allocation result of each user.
Preferably, the basic data of the grid operation includes system data, unit data and user data.
Preferably, the system data includes operational backup requirements, accident backup requirements, load backup requirements, and backup market period information.
Preferably, the unit data comprises the number of units reporting the rotary reserve price information, the number of units reporting the non-rotary reserve price information, the unit rotary standby bid-winning capacity, the unit non-rotary standby bid-winning capacity, the unit rotary standby bid-winning price, the unit non-rotary standby bid-winning price and the unit load rate of the standby market time period.
Preferably, the user data includes a reserve market period user power usage.
Preferably, the running reserve cost of the whole network is calculated based on the unit rotating reserve bid amount, the unit non-rotating reserve bid amount and the unit non-rotating reserve bid amount.
Preferably, the load reserve cost of the whole network is calculated based on the load reserve demand capacity and the unit rotational reserve price.
Preferably, the operation standby cost of the generator set of the whole network is subtracted from the load standby cost of the whole network to obtain the accident standby cost of the whole network.
A power grid backup capacity adjustment system, comprising: the system comprises a power grid data acquisition module, an operation standby cost calculation module, a load standby cost calculation module, an accident standby cost calculation module, a unit standby market cost allocation model module, a user standby market cost allocation model module and a standby capacity adjustment module;
the power grid data acquisition module is used for acquiring basic data of power grid operation;
the operation standby cost calculation module is used for calculating the operation standby cost of the whole network based on the basic data;
the load standby cost calculation module is used for calculating the load standby cost of the whole network;
the accident standby cost calculation module is used for calculating the accident standby cost of the whole network according to the operation standby cost of the whole network and the load standby cost of the whole network;
the unit standby market cost allocation model module is used for establishing a unit standby market cost allocation model based on the accident standby cost of the whole network and solving the unit standby market cost allocation model to obtain the cost allocation result of each unit;
the standby market charge allocation model module is used for establishing a user standby market charge allocation model based on the load standby charge of the whole network and solving the user standby market charge allocation model to obtain the charge allocation result of each user;
and the standby capacity adjustment module is used for adjusting the standby capacity of the power grid according to the cost allocation result of each unit and the cost allocation result of each user.
A power grid reserve capacity adjustment device comprises a processor and a memory;
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is used for executing the power grid reserve capacity adjustment method according to the instructions in the program codes.
From the above technical solutions, the embodiment of the present invention has the following advantages:
the embodiment of the invention follows the principle of market fairness, realizes that two types of market main bodies of the generator set and the power user respectively bear compensation fees generated for meeting the standby requirement of the generator set, more finely distributes the standby auxiliary service market compensation fees of all market main bodies on the aspects of the load rate of the generator set and the power consumption of the power user, adjusts the standby capacity of the power grid according to the fee distribution result, ensures the redundancy of the standby capacity and the safety of the operation of the power grid, and has guiding significance in practical application.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the description below are only some embodiments of the invention, and that other drawings can be obtained from these drawings without inventive faculty for a person skilled in the art.
Fig. 1 is a flowchart of a method for adjusting a standby capacity of a power grid, a system and a device according to an embodiment of the present invention.
Fig. 2 is a system structure diagram of a method, a system and a device for adjusting standby capacity of a power grid according to an embodiment of the present invention.
Fig. 3 is an equipment frame diagram of a method, a system and an equipment for adjusting standby capacity of a power grid according to an embodiment of the present invention.
Detailed Description
The embodiment of the invention provides a method, a system and equipment for adjusting the spare capacity of a power grid, which are used for solving the technical problem that the spare auxiliary service market in the prior art cannot determine the compensation cost allocation proportion, so that the running spare capacity shortage exists in a power system.
In order to make the objects, features and advantages of the present invention more comprehensible, the technical solutions in the embodiments of the present invention are described in detail below with reference to the accompanying drawings, and it is apparent that the embodiments described below are only some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, fig. 1 is a flowchart of a method for adjusting a standby capacity of a power grid, a system and a device according to an embodiment of the present invention.
The method for adjusting the spare capacity of the power grid provided by the embodiment of the invention comprises the following steps:
basic data of power grid operation is obtained so as to carry out subsequent calculation steps;
calculating the running standby cost of the whole network based on the basic data;
calculating the accident standby cost of the whole network according to the operation standby cost of the whole network and the load standby cost of the whole network;
the method comprises the following steps of establishing a unit standby market charge allocation model based on the accident standby charge of the whole network, and establishing a user standby market charge allocation model based on the load standby charge of the whole network, wherein the specific process is as follows:
the compensation cost generated by the reserve accident reserve for the power shortage caused by the unplanned outage of the power generation equipment or the power transmission and transformation equipment is allocated by the generator set according to the load rate proportion of the generator set in the period of providing the reserve auxiliary service, and the allocation model of the reserve market cost of the generator set is as follows:
Figure BDA0002414117750000051
wherein R is i, machine set reserve market allocation The cost is allocated for the spare market of the unit i in the unit statistics period; alpha i The load rate of the generator set i in the unit statistical period is calculated; n is the number of the whole-network generator sets; f (F) Full network, emergency compensation And counting the accident standby cost of the whole network in the period for a unit.
The compensation cost generated by the reserved load reserve for balancing the instantaneous load fluctuation and the load predicted deviation is allocated by the power user according to the electricity consumption proportion of the power user in the period of providing the reserve auxiliary service, and the power user reserve market cost allocation model is as follows:
Figure BDA0002414117750000052
wherein R is j, user spare market apportionment The method comprises the steps of (1) allocating fees for a spare market of a power user j in a unit statistical period; w (W) j, use electricity The electricity consumption of the power user j in the unit statistical period is calculated; n is the number of power users in the whole network; f (F) Full network, load backup compensation And the load standby cost of the whole network in a unit statistical period is calculated.
Respectively solving a unit standby market cost allocation model and a user standby market cost allocation model to obtain a cost allocation result of each unit and a cost allocation result of each user;
and adjusting the spare capacity of the power grid according to the cost allocation result of each unit and the cost allocation result of each user, thereby ensuring the normal operation of the generator set.
As a preferred embodiment, the basic data of the grid operation includes system data, unit data and user data; the system data comprises operation standby demand, accident standby demand, load standby demand and standby market period information; the unit data comprises the number of the units reporting the rotating reserve price information, the number of the units reporting the non-rotating reserve price information, the unit rotating standby bid-winning capacity, the unit non-rotating standby bid-winning capacity, the unit rotating standby clearing price, the unit non-rotating standby clearing price and the unit load rate of the standby market period; the user data includes a reserve market period user power usage.
As a preferred embodiment, the running reserve costs for the whole network are calculated based on the unit rotating reserve bid amount, the unit non-rotating reserve bid amount, and the unit non-rotating reserve bid amount. In the standby auxiliary service market, the generator set can declare the rotating reserve price information or the non-rotating reserve price information, and the market can respectively clear the bid-winning capacity and the clear price of each set for rotating reserve and non-rotating reserve. Thus, the total network operation standby cost can be calculated as follows:
Figure BDA0002414117750000061
wherein F is Full network, running standby compensation Counting the standby cost of the whole network operation in the period for a unit; q (Q) i, rotating for standby The unit counting period is the unit i rotating standby winning capacity; p (P) i, rotating for standby Rotating the reserve settlement price for the unit i, namely rotating the reserve clearing price; n (N) 1 The number of the price information units for reporting the rotation reserve price; q (Q) j, non-rotating standby In a unit statistical period, the unit j is not rotated to reserve the winning capacity; p (P) j, non-rotating standby The reserve settlement price is not rotated for the unit j, namely, the reserve clearing price is not rotated; n (N) 2 To declare the number of non-rotating set of reserve price information.
As a preferred embodiment, the load reserve costs for the whole network are calculated based on the load reserve demand capacity and the unit rotational reserve clearing price. In the backup auxiliary service market, load backup is provided entirely by rotational backup, while accident backup may be provided by both rotational and non-rotational backup. Thus, the full network load standby cost can be calculated as follows:
F full network, load backup compensation ＝Q Load standby demand ×P Rotary spare price
Wherein F is Full network, load backup compensation The load standby cost of the whole network in the unit statistical period is calculated; q (Q) Load standby demand The load standby demand capacity of the whole network in a unit statistical period is calculated; p (P) Rotary spare price The machine set is rotated for standby and clear price.
As a preferred embodiment, the operation standby cost of the generator set of the whole network is subtracted from the load standby cost of the whole network to obtain the accident standby cost of the whole network, and the specific formula is as follows:
F full network, emergency compensation ＝F Full network, running standby compensation -F Full network, load backup compensation
Wherein F is Full network, emergency compensation And counting the accident standby cost of the whole network in the period for a unit.
As shown in fig. 2, a system for adjusting spare capacity of a power grid includes: a power grid data acquisition module 201, an operation reserve cost calculation module 202, a load reserve cost calculation module 203, an accident reserve cost calculation module 204, a unit reserve market cost allocation model module 205, a user reserve market cost allocation model module 206 and a reserve capacity adjustment module 207;
the power grid data acquisition module 201 is used for acquiring basic data of power grid operation;
the operation standby cost calculation module 202 is configured to calculate an operation standby cost of the whole network based on the basic data;
the load standby cost calculation module 203 is configured to calculate a load standby cost of the whole network;
the accident standby cost calculation module 204 is configured to calculate an accident standby cost of the whole network according to an operation standby cost of the whole network and a load standby cost of the whole network;
the unit standby market charge allocation model module 205 is configured to establish a unit standby market charge allocation model based on the accident standby charges of the whole network, and solve the model to obtain each unit charge allocation result;
the standby market charge allocation model module 206 is configured to establish a user standby market charge allocation model based on the load standby charges of the whole network, and solve the user standby market charge allocation model to obtain a charge allocation result of each user;
the standby capacity adjustment module 207 is configured to adjust the standby capacity of the power grid according to the cost allocation result of each unit and the cost allocation result of each user.
As shown in fig. 3, a grid backup capacity adjustment device 30 includes a processor 300 and a memory 301;
the memory 301 is used for storing a program code 302 and transmitting the program code 302 to the processor;
the processor 300 is configured to perform the steps of one of the grid backup capacity adjustment method embodiments described above according to instructions in the program code 302.
Illustratively, the computer program 302 may be partitioned into one or more modules/units that are stored in the memory 301 and executed by the processor 300 to complete the present application. The one or more modules/units may be a series of computer program instruction segments capable of performing the specified functions, which instruction segments are used for describing the execution of the computer program 302 in the terminal device 30.
The terminal device 30 may be a computing device such as a desktop computer, a notebook computer, a palm computer, and a cloud server. The terminal device may include, but is not limited to, a processor 300, a memory 301. It will be appreciated by those skilled in the art that fig. 3 is merely an example of the terminal device 30 and is not meant to be limiting as to the terminal device 30, and may include more or fewer components than shown, or may combine certain components, or different components, e.g., the terminal device may also include input and output devices, network access devices, buses, etc.
The processor 300 may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf Programmable gate arrays (FPGA) or other Programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 301 may be an internal storage unit of the terminal device 30, such as a hard disk or a memory of the terminal device 30. The memory 301 may also be an external storage device of the terminal device 30, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the terminal device 30. Further, the memory 301 may also include both an internal storage unit and an external storage device of the terminal device 30. The memory 301 is used for storing the computer program and other programs and data required by the terminal device. The memory 301 may also be used to temporarily store data that has been output or is to be output.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied essentially or in part or all of the technical solution or in part in the form of a software product stored in a storage medium, including instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims (10)

1. The method for adjusting the spare capacity of the power grid is characterized by comprising the following steps of:
acquiring basic data of power grid operation;
calculating the running standby cost of the whole network based on the basic data;
calculating the accident standby cost of the whole network according to the operation standby cost of the whole network and the load standby cost of the whole network;
establishing a unit standby market charge allocation model based on the accident standby charge of the whole network, and establishing a user standby market charge allocation model based on the load standby charge of the whole network;
respectively solving a unit standby market cost allocation model and a user standby market cost allocation model to obtain a cost allocation result of each unit and a cost allocation result of each user;
the standby capacity of the power grid is adjusted according to the cost allocation result of each unit and the cost allocation result of each user;
the unit standby market expense allocation model specifically comprises the following steps:
Figure FDA0004184137170000011
wherein: r is R i, machine set reserve market allocation The cost is allocated for the spare market of the unit i in the unit statistics period; alpha i The load rate of the generator set i in the unit statistical period is calculated; n is the number of the whole-network generator sets; f (F) Full network, emergency compensation Counting the accident standby cost of the whole network in the period for a unit;
the user spare market charge allocation model specifically comprises the following steps:
Figure FDA0004184137170000012
wherein: r is R j, user spare market apportionment The method comprises the steps of (1) allocating fees for a spare market of a power user j in a unit statistical period; w (W) j, use electricity The electricity consumption of the power user j in the unit statistical period is calculated; n is the number of power users in the whole network; f (F) Full network, load backup compensation And the load standby cost of the whole network in a unit statistical period is calculated.
2. The method of claim 1, wherein the basic data of the grid operation includes system data, unit data, and user data.
3. A method of grid backup capacity adjustment as claimed in claim 2, wherein the system data includes operational backup demand, accident backup demand, load backup demand, and backup market period information.
4. A method for adjusting backup capacity of a power grid according to claim 3, wherein the unit data includes a number of units reporting rotational backup price information, a number of units reporting non-rotational backup price information, a winning capacity of the unit rotational backup, a winning capacity of the unit non-rotational backup, a clearing price of the unit non-rotational backup, and a unit load rate of a backup market period.
5. The method of claim 4, wherein the user data comprises a user power usage for a time period of the backup market.
6. The method of claim 5, wherein the running reserve costs for the whole network are calculated based on the unit rotating reserve bid amount, the unit non-rotating reserve bid amount, and the unit non-rotating reserve bid amount.
7. The method of claim 6, wherein the load reserve cost of the whole network is calculated based on the load reserve demand capacity and the unit rotational reserve price.
8. The method for adjusting reserve capacity of a power grid as claimed in claim 7, wherein the operating reserve cost of the generator set of the whole network is subtracted from the load reserve cost of the whole network to obtain the accident reserve cost of the whole network.
9. A system for regulating backup capacity of an electrical grid, comprising: the system comprises a power grid data acquisition module, an operation standby cost calculation module, a load standby cost calculation module, an accident standby cost calculation module, a unit standby market cost allocation model module, a user standby market cost allocation model module and a standby capacity adjustment module;
the power grid data acquisition module is used for acquiring basic data of power grid operation;
the operation standby cost calculation module is used for calculating the operation standby cost of the whole network based on the basic data;
the load standby cost calculation module is used for calculating the load standby cost of the whole network;
the accident standby cost calculation module is used for calculating the accident standby cost of the whole network according to the operation standby cost of the whole network and the load standby cost of the whole network;
the unit standby market cost allocation model module is used for establishing a unit standby market cost allocation model based on the accident standby cost of the whole network and solving the unit standby market cost allocation model to obtain the cost allocation result of each unit;
the standby market charge allocation model module is used for establishing a user standby market charge allocation model based on the load standby charge of the whole network and solving the user standby market charge allocation model to obtain the charge allocation result of each user;
the standby capacity adjustment module is used for adjusting the standby capacity of the power grid according to the cost allocation result of each unit and the cost allocation result of each user;
the unit standby market expense allocation model specifically comprises the following steps:
Figure FDA0004184137170000031
wherein: r is R i, machine set reserve market allocation The cost is allocated for the spare market of the unit i in the unit statistics period; alpha i The load rate of the generator set i in the unit statistical period is calculated; n is the number of the whole-network generator sets; f (F) Full network, emergency compensation Counting the accident standby cost of the whole network in the period for a unit;
the user spare market charge allocation model specifically comprises the following steps:
Figure FDA0004184137170000032
wherein: r is R j, user spare market apportionment The method comprises the steps of (1) allocating fees for a spare market of a power user j in a unit statistical period; w (W) j, use electricity The electricity consumption of the power user j in the unit statistical period is calculated; n is the number of power users in the whole network; f (F) Full network, load backup compensation And the load standby cost of the whole network in a unit statistical period is calculated.
10. The power grid spare capacity adjusting device is characterized by comprising a processor and a memory;
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to execute a method for grid backup capacity adjustment according to any one of claims 1-8 according to instructions in the program code.
CN202010185761.4A 2020-03-17 2020-03-17 Power grid reserve capacity adjustment method, system and equipment Active CN111242517B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010185761.4A CN111242517B (en) 2020-03-17 2020-03-17 Power grid reserve capacity adjustment method, system and equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010185761.4A CN111242517B (en) 2020-03-17 2020-03-17 Power grid reserve capacity adjustment method, system and equipment

Publications (2)

Publication Number Publication Date
CN111242517A CN111242517A (en) 2020-06-05
CN111242517B true CN111242517B (en) 2023-06-30

Family

ID=70873555

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010185761.4A Active CN111242517B (en) 2020-03-17 2020-03-17 Power grid reserve capacity adjustment method, system and equipment

Country Status (1)

Country Link
CN (1) CN111242517B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113344641B (en) * 2021-07-02 2023-04-07 广东电力交易中心有限责任公司 Method for allocating transaction cost of running standby auxiliary service market

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109508853A (en) * 2018-09-20 2019-03-22 国电南瑞科技股份有限公司 Peak regulation ancillary service method of commerce and system between a kind of province
CN110232585A (en) * 2019-04-26 2019-09-13 国电南瑞科技股份有限公司 A kind of depth peak regulation market cost allocation method and system

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103746384B (en) * 2014-01-29 2015-11-18 广东电网公司电力科学研究院 Electric load dispatch control method and system thereof
CN109359859A (en) * 2018-10-16 2019-02-19 贵州电力交易中心有限责任公司 A kind of ancillary service cost methodology and system for considering user side and participating in
CN109559040A (en) * 2018-11-29 2019-04-02 广东电网有限责任公司 A kind of ancillary service and energy market sequentially go out clearing method
CN109523324A (en) * 2018-11-29 2019-03-26 广东电网有限责任公司 A kind of volumes markets expense allocation settlement method and device
CN110766482A (en) * 2019-11-18 2020-02-07 广西电网有限责任公司 Deep peak regulation compensation cost allocation method and device considering power supply peak regulation quality

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109508853A (en) * 2018-09-20 2019-03-22 国电南瑞科技股份有限公司 Peak regulation ancillary service method of commerce and system between a kind of province
CN110232585A (en) * 2019-04-26 2019-09-13 国电南瑞科技股份有限公司 A kind of depth peak regulation market cost allocation method and system

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
需求侧参与下电网公司购电的离散混合优化模型;谭忠富;陈广娟;曹福成;王成文;;华东电力(08);全文 *

Also Published As

Publication number Publication date
CN111242517A (en) 2020-06-05

Similar Documents

Publication Publication Date Title
CN112446540B (en) Electric power spot market clearing and settlement optimizing method and device
US11258259B2 (en) Power control system, power control apparatus, and power control method
JP6619673B2 (en) Self-delivery support device and self-delivery system
CN106972483B (en) A kind of electric system Calculation of Available Transfer Capability method considering Demand Side Response
CN111445154B (en) Power market resource source scheduling optimization method, system and equipment
CN111242517B (en) Power grid reserve capacity adjustment method, system and equipment
CN112150190B (en) Demand response complementary electricity price system and method for high-component flexible load
CN108712480A (en) Non- IT resource allocation methods in data center and system
Zhang et al. Dispatchable capacity optimization strategy for battery swapping and charging station aggregators to participate in grid operations
CN115375081A (en) Shared optical storage optimal scheduling method, device, equipment and storage medium considering over-sale
CN111027798A (en) Method and system for participating in spot energy market by transfer type load
CN109345335B (en) Transaction method and system for discarding wind and discarding light electric quantity
Kalysh et al. Dynamic programming based peer-to-peer energy trading framework for smart microgrids
CN116683485A (en) Scheduling method and device of cluster energy storage system, electronic equipment and storage medium
CN111709580A (en) Micro-grid source-load matching evaluation method, system and equipment
CN110298715B (en) Energy transaction system and method based on distributed energy storage
CN109980697A (en) Consider that the renewable energy of quota system distributes consumption method
CN115544726A (en) Virtualization-oriented power spot market combined clearing optimization method and device
Frame Locational marginal pricing
Ansari et al. A market framework for holistic congestion management in unbalanced distribution systems
CN111276965B (en) Electric energy market optimization method, system and equipment based on relaxation penalty factor
CN112446800A (en) Electric energy transaction method, device and system
Huang et al. Electricy cost optimization of data center interactive services with ups
CN114841510B (en) Data center cluster shared energy storage method, system, device and medium
CN113364015B (en) Energy storage system and related method

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