A method and system for measuring and calculating start-stop arbitrage behavior of a thermal power unit

Abstract

The application discloses a kind of thermal power generating unit start-stop arbitrage behavior measurement method and system, the method includes obtaining data and measuring local thermal power main body market force, according to local thermal power main body market force, the abnormal bidding behavior of unit and the start-stop number of actual marketization execution are measured, the strategy that thermal power generating unit is executed to obtain excess income is determined;Through the strategy executed, the excess amount of relative degree electric income of abnormal behavior unit is measured, and the excess amount of relative degree electric income of the monitored thermal power generating unit relative to other units is determined;The system includes local market force measurement module, abnormal bidding and start-stop number measurement module and degree electric income measurement module.The application can improve the problem of the deficiency of the evaluation and analysis ability and method of thermal power generating unit start-stop behavior under the current special power grid structure, and provide support for quantitative, accurate thermal power generating unit start-stop behavior analysis and evaluation.

Description

Technical Field

[0001] This invention relates to the field of power market regulation and risk monitoring, and in particular to a method and system for calculating start-up and shutdown arbitrage behavior of market-based thermal power units. Background Technology

[0002] As the electricity spot market transitions from long-term settlement trial operation to formal operation, electricity market transactions will continue to be settled and operated. Market participants' ability to participate in electricity transactions is constantly improving. However, the practice of some generating units obtaining excess market benefits through abnormal start-up and shutdown behaviors has not yet achieved effective and standardized quantitative identification and monitoring of abnormal behaviors. This will affect the economic efficiency and fairness of the electricity market operation, harm the interests of other market participants, bring potential hidden dangers and uncertainties to the operation of the electricity market, and hinder the optimal allocation of electricity resources and the development of the electricity market.

[0003] Currently, the identification and assessment of abnormal start-up and shutdown behaviors of generating units under specific circumstances are based on the dispatcher's dispatching experience. There are no monitoring indicators or quantitative calculation methods for abnormal start-up and shutdown of thermal power units and the corresponding excess revenue. This makes it difficult for power market operators to quantitatively analyze the degree of abnormality in the start-up and shutdown behavior of thermal power units, to distinguish the magnitude of the impact of different unit start-up and shutdown on the market and the power grid, and to carry out control over the different market impacts of abnormal start-up and shutdown units. Consequently, it is impossible to prevent and improve the mechanism for thermal power units to exploit loopholes in the market mechanism to obtain start-up and shutdown revenue. Summary of the Invention

[0004] Purpose of the invention: The purpose of this invention is to provide a market-oriented method and system for calculating start-stop arbitrage behavior of thermal power units that can provide quantitative and standardized support for the analysis of start-stop behavior of thermal power units.

[0005] To achieve the above-mentioned technical objectives and effects, the present invention is implemented through the following technical solution:

[0006] In a first aspect, the present invention provides a method for calculating the start-stop arbitrage behavior of thermal power units, including:

[0007] Data on local power grid topology, market share of market participants, and electricity volume submitted for trading are obtained, and the market power of local thermal power entities is calculated using the HHI and RSI indices, respectively.

[0008] Based on the market power of local thermal power plants, we calculate abnormal bidding behavior of the units and the number of start-ups and shutdowns in actual market implementation, and determine the strategies that thermal power units should implement to obtain excess profits.

[0009] By implementing the strategy, the relative excess electricity revenue of the units with abnormal behavior is calculated, and the excess electricity revenue of the monitored thermal power units relative to other units is determined.

[0010] Furthermore, the method for detecting abnormal bidding behavior of generating units includes obtaining unit bids, verifying costs, market price limit data, and constructing a model for detecting abnormal bidding behavior of generating units.

[0011]

[0012]

[0013] in, , The deviation of the quoted price of the tested unit from the approved cost and the maximum start-up price limit; The cost of applying for startup for the monitored generating unit; , These are the approved start-up cost and the maximum start-up cost, respectively. , These are the deviation rates of the tested unit's quoted price relative to the approved cost and the maximum start-up price limit, respectively.

[0014] Furthermore, the calculation of the actual number of start-ups and shutdowns in market implementation includes obtaining the number of start-ups and shutdowns of similar units and the number of start-ups and shutdowns of the monitored unit, and constructing a deviation coefficient model between the number of start-ups and shutdowns of the monitored unit and the number of start-ups and shutdowns of similar units:

[0015]

[0016]

[0017] in, , The prices submitted by the monitored generating units and their associated generating units in the spot market are respectively for the monitored generating units. The average clearing price of spot transactions over a certain period of time; , These are the deviation rates of the spot market quotations of the monitored unit and its associated units relative to the average spot market quotations, respectively. The superimposed deviation rate between the monitored unit and its associated units;

[0018] The number of startups of each monitored unit was counted, and the results were compared with the average number of startups of all units in the network or the number of startups approved by the Shandong market operation agency. Deviation and deviation rate were calculated and analyzed. The number of unit start-ups and shutdowns was also counted.

[0019]

[0020] in, This represents the number of times the unit starts and stops within the statistical period. For the t-th successful start-up and shutdown of the unit,

[0021]

[0022] in, This represents the average number of startups for the same type of generating unit within the entire network's statistical period. The deviation rate of the monitored unit relative to the average number of start-ups across the entire network is considered. The larger the deviation rate, the greater the degree of abnormality.

[0023] Furthermore, the electricity calculation model for the relative excess electricity revenue of the unit with abnormal behavior includes:

[0024]

[0025]

[0026] in, The revenue per kilowatt-hour supplementing the inspected generating unit, including start-up costs; , These are the start-up compensation cost and the approved start-up cost of the unit being tested, respectively, where m and x are the total number of start-ups (m times) and the xth start-up, respectively. , To calculate the winning bid volume and corresponding electricity price during the statistical period, n and i represent the total number of winning bids (n times) and the i-th bid, respectively. This refers to the revenue per kilowatt-hour of electricity generated during the entire network's statistical period, including start-up costs. The deviation rate of the unit's electricity revenue (including start-up compensation) relative to the entire network.

[0027] Secondly, this invention provides a system for calculating the start-stop arbitrage behavior of thermal power units, comprising:

[0028] The local market power calculation module is used to obtain local power grid topology, market participant share and transaction declaration data, and calculate the local thermal power market power using HHI and RSI indices respectively.

[0029] The abnormal pricing and start-stop frequency calculation module is used to calculate the abnormal pricing behavior of the units and the actual number of start-stop operations executed in the market based on the local thermal power market power, and to determine the strategies that thermal power units should implement in order to obtain excess profits.

[0030] The electricity revenue calculation module is used to calculate the relative excess electricity revenue of units with abnormal behavior by executing strategies, and to determine the excess electricity revenue of the monitored thermal power unit relative to other units.

[0031] Furthermore, the abnormal pricing and start-stop count calculation module is used to calculate abnormal pricing behavior of the unit, including obtaining unit pricing, cost verification, market price limit data, and constructing an abnormal pricing behavior detection model for the unit.

[0032]

[0033]

[0034] in, , The deviation of the quoted price of the tested unit from the approved cost and the maximum start-up price limit; The cost of applying for startup for the monitored generating unit; , These are the approved start-up cost and the maximum start-up cost, respectively. , These are the deviation rates of the tested unit's quoted price relative to the approved cost and the maximum start-up price limit, respectively.

[0035] Furthermore, the abnormal pricing and start / stop count calculation module is used to calculate the actual number of start / stop operations in the market, including obtaining the start / stop counts of similar units and the start / stop counts of the monitored units, and constructing a deviation coefficient model between the start / stop counts of the monitored units and the start / stop counts of similar units.

[0036]

[0037]

[0038] in, , The prices submitted by the monitored generating units and their associated generating units in the spot market are respectively for the monitored generating units. The average clearing price of spot transactions over a certain period of time; , These are the deviation rates of the spot market quotations of the monitored unit and its associated units relative to the average spot market quotations, respectively. The superimposed deviation rate between the monitored unit and its associated units;

[0039] The number of startups of each monitored unit was counted, and the results were compared with the average number of startups of all units in the network or the number of startups approved by the Shandong market operation agency. Deviation and deviation rate were calculated and analyzed. The number of unit start-ups and shutdowns was also counted.

[0040]

[0041] in, This represents the number of times the unit starts and stops within the statistical period. For the t-th successful start-up and shutdown of the unit,

[0042]

[0043] in, This represents the average number of startups for the same type of generating unit within the entire network's statistical period. The deviation rate of the monitored unit relative to the average number of start-ups across the entire network is considered. The larger the deviation rate, the greater the degree of abnormality.

[0044] Furthermore, the electricity revenue calculation module is used to calculate the relative excess electricity revenue of units with abnormal behavior. The electricity revenue calculation model includes:

[0045]

[0046]

[0047] in, The revenue per kilowatt-hour supplementing the inspected generating unit, including start-up costs; , These are the start-up compensation cost and the approved start-up cost of the unit being tested, respectively, where m and x are the total number of start-ups (m times) and the xth start-up, respectively. , To calculate the winning bid volume and corresponding electricity price during the statistical period, n and i represent the total number of winning bids (n times) and the i-th bid, respectively. This refers to the revenue per kilowatt-hour of electricity generated during the entire network's statistical period, including start-up costs. The deviation rate of the unit's electricity revenue (including start-up compensation) relative to the entire network.

[0048] Thirdly, the present invention provides an electronic device, including a memory, a processor, and a program stored in the memory and executable on the processor, wherein executing the program implements the steps of the method for calculating the start-stop arbitrage behavior of thermal power units.

[0049] Fourthly, the present invention provides a computer-readable storage medium, hereinafter referred to as the storage medium, which stores a computer program designed to implement the steps of the method for calculating the start-stop arbitrage behavior of the thermal power unit when it is run.

[0050] Beneficial Effects: Compared with the prior art, the present invention has the following significant advantages: The present invention calculates environmental information such as the market competition level of the local power grid where the tested unit is located and the market power of the tested unit, and analyzes the market environment for adjusting the start-up and shutdown status of the tested unit, providing sufficient information for analysis and evaluation of subsequent actions to manipulate the start-up and shutdown of the unit and obtain excess profits; it can improve the problem of insufficient ability and methods for evaluating and analyzing the start-up and shutdown behavior of thermal power units under special power grid structures, and provide support for quantitative and accurate analysis and evaluation of the start-up and shutdown behavior of thermal power units. Attached Figure Description

[0051] Figure 1 This is a flowchart of the method for calculating the start-up and shutdown arbitrage behavior of thermal power units as described in this invention. Detailed Implementation

[0052] The technical solution of the present invention will be further described below with reference to the accompanying drawings. Those skilled in the art will understand that the objectives and advantages achievable with the present invention are not limited to the specific beneficial effects described above, and the above and other objectives achievable by the present invention will become clearer from the following detailed description.

[0053] Those skilled in the art will understand that the exemplary components, systems, and methods described in conjunction with the embodiments disclosed herein can be implemented in hardware, software, or a combination of both. Whether implemented in hardware or software depends on the specific application, design, and conditions of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0054] In this invention, the term "embodiment" means that a specific feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a mutually exclusive, independent, or alternative embodiment. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0055] Example 1

[0056] The method for calculating start-up and shutdown arbitrage behavior of thermal power units according to the present invention includes the following steps:

[0057] Step 1: Calculation of the generator market structure considering the power grid network topology

[0058] (1) Market Concentration: The market share of thermal power units in the local power grid is calculated to determine the market share of market participants in the power purchase and sale market. The larger the market share, the greater the possibility of actively clearing prices in the market and the greater the potential market power. The market share of market participants is determined by the Herfindahl-Hirschman Index (HHI), as shown in equation (1):

[0059] (1)

[0060] in, Let be the HHI index for time period i, and n be the number of power generation companies participating in the competition; The available power generation capacity share of the j-th power generation enterprise generally refers to the proportion of the available capacity of that power generation enterprise to the total available capacity participating in the competition.

[0061] As can be seen from the above formula, the magnitude of the HHI index depends on the number of power generation companies in the market and the degree of inequality in their market share. In a perfectly monopolistic market, there is only one market, with a market share of 100%, and the HHI index is 10,000. In a perfectly competitive market, there are numerous power generation companies, each with a market share approximately zero, and the HHI index is close to zero. Generally, the HHI... This should be considered as a situation where competition is relatively sufficient, meaning that the market power of market players is not significant.

[0062] (2) RSI Index (also known as the surplus supply rate): The surplus supply rate (RSI index) of a local power grid is the sum of the market shares of all power generation groups except for a certain power generation group in a certain period of the electricity market. It is expressed by the following formula:

[0063] (2)

[0064] Where n is the number of power generation groups in the market; Let j be the declared capacity of the j-th power generation group; Let represent the declared capacity of the i-th power generation group; D represents the total market demand.

[0065] when A value less than 1 indicates that the market demand cannot be met without the i-th power generation group, and that power generation group has market power. The smaller the value, the stronger its ability to control market prices. A value of 1 represents the critical point at which the i-th power generation group possesses market power. By calculating the RSI index for each power generation group in the market, we can identify power generation groups with market power and determine the magnitude of their market power.

[0066] Step Two: Detection of Abnormal Market Behavior During Unit Start-up and Shutdown (Temperature Trip)

[0067] (1) Calculate the bidding behavior of the monitored units:

[0068] The deviation and deviation rate between the start-up quotation of the monitored unit and the approved start-up cost and the highest start-up quotation of this type are calculated respectively, as shown in equations (3) and (4):

[0069] (3)

[0070] in, , The deviation of the quoted price of the tested unit from the approved cost and the maximum start-up price limit; The cost of applying for startup for the monitored generating unit; , These are the approved start-up cost and the maximum start-up cost, respectively.

[0071] (4)

[0072] in, , These are the deviation rates of the tested unit's quoted price relative to the approved cost and the maximum start-up price limit, respectively.

[0073] (2) Calculation of market pricing behavior for unit start-up and shutdown (shutdown)

[0074] Starting and stopping (switching out) a generating unit generally requires switching between different generating units within a designated area or within the same power plant. Apart from planned maintenance, in a relatively tight market supply and demand situation, the switching of generating units is achieved by having the operating generating unit submit a high price and the generating unit scheduled to start submit a high price. Therefore, a statistical analysis is conducted on the bidding prices of generating units with regional start-up and shutdown switching relationships. This is mainly done by monitoring the spot market transaction bid prices of the monitored and related generating units and calculating any abnormalities in the bid prices of the relevant generating units, as shown in equations (5) and (6) below.

[0075] (5)

[0076] (6)

[0077] in, , The prices submitted by the monitored generating units and their associated generating units in the spot market are respectively for the monitored generating units. The average clearing price of spot transactions over a certain period (or in this round of transactions); , These are the deviation rates of the spot market quotations of the monitored unit and its associated units relative to the average spot market quotations, respectively. The superimposed deviation rate between the monitored unit and its associated units.

[0078] If the cumulative deviation rate exceeds [10%, 20%], it is considered that there may be suspicion of human control over start-up, shutdown, and tripping; if the cumulative deviation rate exceeds [20%, 40%], there is a high probability of human control over start-up, shutdown, and tripping; if the cumulative deviation rate is between [40%, 60%], there is a very high probability of human control over start-up, shutdown, and tripping; if the cumulative deviation rate exceeds 60%, it can be basically confirmed that there is human control over the start-up, shutdown, and tripping of the unit.

[0079] (3) Statistical analysis of the number of times the monitored units start up

[0080] The number of times the monitored units started up was counted separately, and the deviation and deviation rate of the statistical results were calculated and analyzed by comparing them with the average number of times the units started up in the whole network or the number of times the Shandong market operation agency approved. The results are shown in formulas (7) and (8) below.

[0081] Number of start-ups and shutdowns of the statistical unit

[0082] (7)

[0083] in, This represents the number of times the unit starts and stops within the statistical period. For the t-th successful start-up and shutdown of the unit,

[0084] (8)

[0085] in, This represents the average number of startups for the same type of generating unit within the entire network's statistical period. The deviation rate of the monitored unit from the network average number of start-ups is generally... If the number of startups exceeds the set value, it can be considered that the number of startups of the monitored unit is abnormal. The greater the deviation, the greater the degree of abnormality.

[0086] Step 3: Calculation of revenue per kilowatt-hour, including supplementary start-up and shutdown costs.

[0087] The frequent tripping of power plants or unit groups is to obtain higher market returns. In order to reflect the economic benefits of unit power generation, the revenue per kilowatt-hour of the tested unit including start-up compensation is calculated. The calculation methods are shown in the following formulas (9) and (10):

[0088] (9)

[0089] (10)

[0090] in, The revenue per kilowatt-hour supplementing the inspected generating unit, including start-up costs; , These are the start-up compensation cost and the approved start-up cost of the unit being tested, respectively, where m and x are the total number of start-ups (m times) and the xth start-up, respectively. , To calculate the winning bid volume and corresponding electricity price during the statistical period, n and i represent the total number of winning bids (n times) and the i-th bid, respectively. This refers to the revenue per kilowatt-hour of electricity generated during the entire network's statistical period, including start-up costs. The deviation rate of the unit's electricity revenue including start-up compensation relative to the entire grid including start-up compensation.

[0091] like Figure 1As shown, the method for calculating the start-stop arbitrage behavior of thermal power units according to the present invention includes:

[0092] Step 1: According to the system distribution of the tested unit, divide the power flow section of the power grid where the tested unit is located, and count the unit capacity, type and transaction declaration quantity and price information within this section;

[0093] Step 2: Calculate the market power of the tested unit according to the market's remaining supply rate and Herfindahl index, and provide market monopoly analysis and assessment information;

[0094] Step 3: Calculate the comprehensive revenue per kilowatt-hour for each generating unit based on the market transaction clearing and settlement results, and compare the comprehensive revenue per kilowatt-hour of the tested unit with the set values ​​of other market participants and operating institutions. If the comprehensive revenue per kilowatt-hour of the tested unit does not exceed the market average level and the set value of the operating institution, it is considered that the tested unit has participated in the market normally and obtained normal market revenue. Otherwise, proceed to Step 4;

[0095] Step 4: Calculate the average number of start-ups and shutdowns for all units within the cross-section, and compare the number of start-ups and shutdowns of the tested unit with the number of start-ups and shutdowns for the entire grid during the same period and in historical data. If the number of start-ups and shutdowns exceeds the abnormal upper limit of the market average or historical start-up and shutdown statistics, calculate the deviation and ratio between the thermal power start-up and shutdown price and the average price and start-up and shutdown cost of the entire grid, and proceed to Step 5. Otherwise, calculate the start-up and shutdown revenue and revenue share of the unit, and proceed to Step 6;

[0096] Step 5: Compare the deviation and ratio between the start-up and shutdown bids of the tested unit and the average price and start-up and shutdown cost across the entire network. If the deviation exceeds the set value, it is determined that the tested unit has frequently submitted advanced supplementary bids for start-up and shutdown and won the bid, thus obtaining excess profits. Otherwise, it is determined that the tested unit has obtained excess profits through frequent unit start-up and shutdown.

[0097] Step 6: Compare the revenue ratio of the tested unit's start-up and shutdown with the average price across the entire grid and the ratio set by the operating agency. If it is higher than the average price across the entire grid or higher than the ratio set by the operating agency, it is determined that the tested unit has obtained excess revenue through a limited unit start-up and shutdown strategy. Otherwise, it is determined that the revenue of the tested unit is abnormal, but it has not profited through start-up and shutdown behavior.

[0098] Step 7: Based on the above analysis results, the system sends alert messages to the market operators and simultaneously requests manual review and intervention for start-up and shutdown behavior.

[0099] Example 2

[0100] Furthermore, based on the same inventive concept, embodiments of the present invention also provide a system for calculating the start-stop arbitrage behavior of thermal power units, comprising:

[0101] The local market power calculation module is used to obtain local power grid topology, market participant share and transaction declaration data, and calculate the local thermal power market power using HHI and RSI indices respectively.

[0102] The abnormal pricing and start-stop frequency calculation module is used to calculate the abnormal pricing behavior of the units and the actual number of start-stop operations executed in the market based on the local thermal power market power, and to determine the strategies that thermal power units should implement in order to obtain excess profits.

[0103] The electricity revenue calculation module is used to calculate the relative excess electricity revenue of units with abnormal behavior by executing strategies, and to determine the excess electricity revenue of the monitored thermal power unit relative to other units.

[0104] The abnormal pricing and start / stop count calculation module is used to calculate abnormal pricing behavior of the generating unit, including obtaining the generating unit's pricing, cost verification, market price limit data, and constructing an abnormal pricing behavior detection model for the generating unit.

[0105]

[0106]

[0107] in, , The deviation of the quoted price of the tested unit from the approved cost and the maximum start-up price limit; The cost of applying for startup for the monitored generating unit; , These are the approved start-up cost and the maximum start-up cost, respectively. , These are the deviation rates of the tested unit's quoted price relative to the approved cost and the maximum start-up price limit, respectively.

[0108] The abnormal pricing and start / stop count calculation module is used to calculate the actual number of start / stop operations in the market, including obtaining the start / stop counts of similar units and the start / stop counts of the monitored units, and constructing a deviation coefficient model between the start / stop counts of the monitored units and the start / stop counts of similar units.

[0109]

[0110]

[0111] in, , The prices submitted by the monitored generating units and their associated generating units in the spot market are respectively for the monitored generating units. The average clearing price of spot transactions over a certain period of time; , These are the deviation rates of the spot market quotations of the monitored unit and its associated units relative to the average spot market quotations, respectively. The superimposed deviation rate between the monitored unit and its associated units;

[0112] The number of startups of each monitored unit was counted, and the results were compared with the average number of startups of all units in the network or the number of startups approved by the Shandong market operation agency. Deviation and deviation rate were calculated and analyzed. The number of unit start-ups and shutdowns was also counted.

[0113]

[0114] in, This represents the number of times the unit starts and stops within the statistical period. For the t-th successful start-up and shutdown of the unit,

[0115]

[0116] in, This represents the average number of startups for the same type of generating unit within the entire network's statistical period. The deviation rate of the monitored unit relative to the average number of start-ups across the entire network is considered. The larger the deviation rate, the greater the degree of abnormality.

[0117] The electricity revenue calculation module is used to calculate the relative excess electricity revenue of units with abnormal behavior. The electricity revenue calculation model includes:

[0118]

[0119]

[0120] in, The revenue per kilowatt-hour supplementing the inspected generating unit, including start-up costs; , These are the start-up compensation cost and the approved start-up cost of the unit being tested, respectively, where m and x are the total number of start-ups (m times) and the xth start-up, respectively. , To calculate the winning bid volume and corresponding electricity price during the statistical period, n and i represent the total number of winning bids (n times) and the i-th bid, respectively. This refers to the revenue per kilowatt-hour of electricity generated during the entire network's statistical period, including start-up costs. The deviation rate of the unit's electricity revenue (including start-up compensation) relative to the entire network.

[0121] Example 3

[0122] Furthermore, based on the same inventive concept, embodiments of the present invention also provide an electronic device, including a memory, a processor, and a program stored in the memory and executable on the processor, wherein the processor executes the program to implement the steps of the method for calculating the start-stop arbitrage behavior of thermal power units.

[0123] It should be understood that various parts of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0124] Example 4

[0125] Furthermore, based on the same inventive concept, embodiments of the present invention also provide a storage medium storing a computer program, the computer program being designed to implement the steps of the thermal power unit start-stop arbitrage behavior calculation method when running.

[0126] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0127] Furthermore, the functional units in the various embodiments of the present invention can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0128] The computer-readable storage medium mentioned above can be a tangible storage medium, such as random access memory (RAM), memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, register, floppy disk, hard disk, removable storage disk, CD-ROM, or any other form of storage medium known in the art.

[0129] The above detailed description further illustrates the purpose, technical solution, and beneficial effects of the invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for calculating start-stop arbitrage behavior of thermal power units, characterized in that, include: Data on local power grid topology, market share of market participants, and electricity volume submitted for trading are obtained, and the market power of local thermal power entities is calculated using the HHI and RSI indices, respectively. Based on the market power of local thermal power plants, we calculate abnormal bidding behavior of the units and the number of start-ups and shutdowns in actual market implementation, and determine the strategies that thermal power units should implement to obtain excess profits. By implementing the strategy, the relative excess electricity revenue of the units with abnormal behavior is calculated, and the excess electricity revenue of the monitored thermal power units relative to other units is determined.

2. The method for calculating start-up and shutdown arbitrage behavior of thermal power units according to claim 1, characterized in that, The method for detecting abnormal pricing behavior of generating units includes obtaining unit quotations, verifying costs, market price limit data, and constructing a model for detecting abnormal pricing behavior of generating units. ； ； ； ； in, , The deviation of the quoted price of the tested unit from the approved cost and the maximum start-up price limit; The cost of applying for startup for the monitored generating unit; , These are the approved start-up cost and the maximum start-up cost, respectively. , These are the deviation rates of the tested unit's quoted price relative to the approved cost and the maximum start-up price limit, respectively.

3. The method for calculating start-up and shutdown arbitrage behavior of thermal power units according to claim 1, characterized in that, The calculation of the actual number of start-ups and shutdowns in the market includes obtaining the number of start-ups and shutdowns of similar units and the number of start-ups and shutdowns of the monitored units, and constructing a deviation coefficient model between the number of start-ups and shutdowns of the monitored units and the number of start-ups and shutdowns of similar units: ； ； ； in, , The prices submitted by the monitored generating units and their associated generating units in the spot market are respectively for the monitored generating units. The average clearing price of spot transactions over a certain period of time; , These are the deviation rates of the spot market quotations of the monitored unit and its associated units relative to the average spot market quotations, respectively. The superimposed deviation rate between the monitored unit and its associated units; The number of startups of each monitored unit was counted, and the results were compared with the average number of startups of all units in the network or the number of startups approved by the Shandong market operation agency. Deviation and deviation rate were calculated and analyzed. The number of unit start-ups and shutdowns was also counted. ； in, This represents the number of times the unit starts and stops within the statistical period. For the t-th successful start-up and shutdown of the unit, ； in, This represents the average number of startups for the same type of generating unit within the entire network's statistical period. The deviation rate of the monitored unit relative to the average number of start-ups across the entire network is considered. The larger the deviation rate, the greater the degree of abnormality.

4. The method for calculating start-up and shutdown arbitrage behavior of thermal power units according to claim 1, characterized in that, The electricity calculation model for measuring the relative excess electricity revenue of units with abnormal behavior includes: ； ； in, The revenue per kilowatt-hour supplementing the inspected generating unit, including start-up costs; , These are the start-up compensation cost and the approved start-up cost of the unit being tested, respectively, where m and x are the total number of start-ups (m times) and the xth start-up, respectively. , To calculate the winning bid volume and corresponding electricity price during the statistical period, n and i represent the total number of winning bids (n times) and the i-th bid, respectively. This refers to the revenue per kilowatt-hour of electricity generated during the entire network's statistical period, including start-up costs. The deviation rate of the unit's electricity revenue, including start-up compensation, relative to the entire network.

5. A system for calculating start-stop arbitrage behavior of thermal power units, characterized in that, include: The local market power calculation module is used to obtain local power grid topology, market participant share and transaction declaration data, and calculate the local thermal power market power using HHI and RSI indices respectively. The abnormal pricing and start-stop frequency calculation module is used to calculate the abnormal pricing behavior of the units and the actual number of start-stop operations executed in the market based on the local thermal power market power, and to determine the strategies that thermal power units should implement in order to obtain excess profits. The electricity revenue calculation module is used to calculate the relative excess electricity revenue of units with abnormal behavior by executing strategies, and to determine the excess electricity revenue of the monitored thermal power unit relative to other units.

6. The thermal power unit start-stop arbitrage behavior calculation system according to claim 5, characterized in that, The abnormal pricing and start / stop count calculation module is used to calculate abnormal pricing behavior of the generating unit, including obtaining the generating unit's pricing, cost verification, market price limit data, and constructing an abnormal pricing behavior detection model for the generating unit. ； ； ； ； in, , The deviation of the quoted price of the tested unit from the approved cost and the maximum start-up price limit; The cost of applying for startup for the monitored generating unit; , These are the approved start-up cost and the maximum start-up cost, respectively. , These are the deviation rates of the tested unit's quoted price relative to the approved cost and the maximum start-up price limit, respectively.

7. The thermal power unit start-stop arbitrage behavior calculation system according to claim 5, characterized in that, The abnormal pricing and start / stop count calculation module is used to calculate the actual number of start / stop operations in the market, including obtaining the start / stop counts of similar units and the start / stop counts of the monitored units, and constructing a deviation coefficient model between the start / stop counts of the monitored units and the start / stop counts of similar units. ； ； ； in, , The prices submitted by the monitored generating units and their associated generating units in the spot market are respectively for the monitored generating units. The average clearing price of spot transactions over a certain period of time; , These are the deviation rates of the spot market quotations of the monitored unit and its associated units relative to the average spot market quotations, respectively. The superimposed deviation rate between the monitored unit and its associated units; The number of startups of each monitored unit was counted, and the results were compared with the average number of startups of all units in the network or the number of startups approved by the Shandong market operation agency. Deviation and deviation rate were calculated and analyzed. The number of unit start-ups and shutdowns was also counted. ； in, This represents the number of times the unit starts and stops within the statistical period. For the t-th successful start-up and shutdown of the unit, ； in, This represents the average number of startups for the same type of generating unit within the entire network's statistical period. The deviation rate of the monitored unit relative to the average number of start-ups across the entire network is considered. The larger the deviation rate, the greater the degree of abnormality.

8. The thermal power unit start-stop arbitrage behavior calculation system according to claim 5, characterized in that, The electricity revenue calculation module is used to calculate the relative excess electricity revenue of units with abnormal behavior. The electricity revenue calculation model includes: ； ； in, The revenue per kilowatt-hour supplementing the inspected generating unit, including start-up costs; , These are the start-up compensation cost and the approved start-up cost of the unit being tested, respectively, where m and x are the total number of start-ups (m times) and the xth start-up, respectively. , To calculate the winning bid volume and corresponding electricity price during the statistical period, n and i represent the total number of winning bids (n times) and the i-th bid, respectively. This refers to the revenue per kilowatt-hour of electricity generated during the entire network's statistical period, including start-up costs. The deviation rate of the unit's electricity revenue (including start-up compensation) relative to the entire network.

9. An electronic device comprising a memory, a processor, and a program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the method for calculating the start-stop arbitrage behavior of thermal power units according to any one of claims 1-4.

10. A storage medium storing a computer program, characterized in that, The computer program is designed to implement the method for calculating the start-stop arbitrage behavior of thermal power units according to any one of claims 1 to 4 at runtime.

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