Method and device for determining non-competitive congestion section of electricity spot market

Abstract

This invention belongs to the field of power automation technology and discloses a method and apparatus for determining non-competitive congestion sections in the power spot market. The method includes: dividing conventional sections into conventional sections that must not exceed limits, conventional sections that must exceed limits, and conventional sections in a pending state; calculating the dynamic effective Hierarchical Hierarchical Index (HHI) for conventional sections that must exceed limits and those in a pending state; identifying sections with non-competitive potential based on the HHI; calculating the effective mitigation of power flow demand and the effective congestion mitigation capabilities of relevant entities for the identified sections with non-competitive potential; calculating a single oligopoly test index; and identifying non-competitive congestion sections based on the results of the single oligopoly test index. This invention lays the foundation for identifying and processing local market power entities, promoting effective and fair competition in provincial power spot markets, and forming a fully competitive and sustainable power spot market.

Description

Technical Field

[0001] This invention belongs to the field of power automation technology, and specifically discloses a method and device for determining non-competitive congestion sections in the power spot market. Background Technology

[0002] The electricity spot market generally refers to the market for trading electricity on a day-ahead or shorter timeframe. It is a concept relative to the medium- and long-term electricity market, typically with a lead time of one day or less. In my country, the electricity spot market generally refers to day-ahead and real-time electricity trading, and also includes ancillary service trading such as reserve and frequency regulation. The electricity spot market is a key link in establishing a competitive mechanism and achieving optimal allocation of electricity resources. It is an important mechanism for changing the traditional method of generating and distributing power dispatch plans, establishing market transaction results as the primary basis for scheduling and distributing power dispatch plans.

[0003] Local market power, also known as market manipulation power, is generally defined as the ability of market participants to price above competitive market prices and maintain those prices for an extended period. Market power is commonly categorized as global market power or local market power. Local market power refers to the ability of certain generating units to manipulate market prices when grid security reasons such as grid congestion or voltage support necessitate their deployment.

[0004] In a power system, a congested section refers to a collection of one or more transmission lines, also known as a conventional section. Defined by power grid analysts, it facilitates ensuring grid transmission safety by controlling the power flow limits of the section to prevent them from exceeding limits. With the development of power systems, transmission networks have become increasingly interconnected, providing an excellent foundation for electricity trading. However, due to transmission capacity limitations, situations may arise during electricity trading where the traded electricity exceeds the maximum transmission capacity of the transmission network. This is called congestion, meaning the transmission system cannot meet the desired transmission plan due to its own network capacity limitations. Sections experiencing congestion in the electricity spot market clearing calculation are called congested sections. Generating units with lower bid prices cannot operate at full capacity due to section congestion, requiring the use of generating units with higher bid prices, thus creating congestion costs. In the electricity spot market, these congestion costs form the congestion price, which is a component of the generation-side electricity price.

[0005] Precise market power identification methods and key technologies that adapt to the characteristics of the electricity spot market, industrial structure, grid-source structure, and the maturity of market participants have not yet been fully established. As the construction of the electricity spot market gradually deepens, there is an urgent need for key technologies to support the identification of local market power, so as to provide a guarantee for promoting fair competition and stable and effective continuous operation of the electricity spot market.

[0006] In the electricity spot market, the market share of power generation is relatively concentrated in some provinces, with a significant structural market force. Other provinces exhibit typical characteristics of single or multiple oligopolies in local supply areas, creating objective conditions for local market manipulation. Market manipulation has already occurred in several areas. For example, local grid maintenance can cause local transmission capacity shortages, and in these areas, few market players can alleviate transmission congestion. Some market players in these areas use their local market power to inflate bids, leading to an overall increase in the marginal price at the node level within the supply area. The ability to identify and manage the market power of market participants has become a crucial issue affecting the stable operation of the spot market. Furthermore, as the market continues to develop, the demand for price representation of peak-valley price differences and resource scarcity will gradually lead to a relaxation of market price limits. A comprehensive mechanism for identifying and handling market power will be a key element in market development. Summary of the Invention

[0007] The purpose of this invention is to provide a method and apparatus for determining non-competitive congestion sections in the electricity spot market, so as to solve the technical problem that it is difficult to accurately identify local market forces in the electricity spot market environment.

[0008] To achieve the above objectives, the present invention adopts the following technical solution:

[0009] In a first aspect, the present invention provides a method for determining non-competitive congestion sections in the electricity spot market, comprising the following steps:

[0010] To obtain the impact of the output of each generating unit on the power flow of conventional sections in the electricity spot market, conventional sections are divided into conventional sections that must not exceed the limit, conventional sections that must exceed the limit, and conventional sections in an undetermined state.

[0011] For the conventional cross-section that must exceed the limit and the conventional cross-section in the undetermined state, calculate the dynamic effective HHI of the cross-section;

[0012] Based on the cross-section dynamic effective HHI identification, cross-sections with non-competitive potential are identified, and the identified cross-sections with non-competitive potential are obtained.

[0013] For the identified cross-sections with non-competitive potential, the calculation of effective mitigation of power flow demand is performed to obtain the calculation results of effective mitigation of power flow demand.

[0014] For the identified cross sections with non-competitive potential, the effective blockage mitigation capability of the cross section-related entities is calculated to obtain the calculation results of the effective blockage mitigation capability of the cross section-related entities.

[0015] Based on the calculation results of the effective mitigation of power flow demand and the calculation results of the effective mitigation of congestion capacity, a single oligopoly test index is calculated; based on the single oligopoly test index, non-competitive congestion sections are identified.

[0016] Secondly, the present invention provides a device for determining non-competitive congestion sections in the electricity spot market, comprising:

[0017] The acquisition and division module is used to obtain the influence relationship between the output of each unit on the power flow of the conventional section in the power spot market, and divide the conventional section into conventional sections that must not exceed the limit, conventional sections that must exceed the limit, and conventional sections in an undetermined state.

[0018] The HHI calculation module is used to calculate the dynamic effective HHI of the cross section for the conventional cross section that must exceed the limit and the conventional cross section in the undetermined state.

[0019] The first identification module is used to identify sections with non-competitive potential based on the dynamic effective HHI of the cross section, and to obtain the identified sections with non-competitive potential.

[0020] The first calculation module is used to calculate the effective mitigation of tidal current demand for the identified cross-sections with non-competitive potential, and obtain the calculation results of the effective mitigation of tidal current demand.

[0021] The second calculation module is used to calculate the effective blockage relief capability of the relevant entities of the identified cross-sections with non-competitive potential, and obtain the calculation result of the effective blockage relief capability of the relevant entities of the cross-sections.

[0022] The second identification module is used to calculate the single oligopoly test index based on the calculation results of the effective mitigation of power flow demand and the calculation results of the effective mitigation of congestion capacity; and to identify non-competitive congestion sections based on the single oligopoly test index.

[0023] Thirdly, the present invention provides an electronic device comprising a processor and a memory, wherein the processor is configured to execute a computer program stored in the memory to implement the aforementioned method for determining non-competitive congestion sections in the electricity spot market.

[0024] Fourthly, the present invention provides a computer-readable storage medium storing at least one instruction, which, when executed by a processor, implements the method for determining a non-competitive blocking section in the electricity spot market.

[0025] Compared with the prior art, the present invention has the following beneficial effects:

[0026] This invention provides a method and apparatus for determining non-competitive congestion sections in the electricity spot market. Based on the characteristics of the electricity spot market, and building upon the pre-identification of congestion sections, it proposes a dynamic effective HHI index for end faces. Sections with non-competitive potential are identified based on the dynamic effective HHI. Furthermore, based on the identification of sections with non-competitive potential, this invention proposes a single oligopoly test index. Based on this single oligopoly test index, non-competitive congestion sections can be effectively identified. This invention lays the foundation for further identification and market power management of local market players, promoting effective and fair competition in provincial electricity spot markets, and forming a fully competitive and sustainable electricity spot market.

[0027] The dynamic effective HHI proposed in this invention, compared with the calculation logic of conventional structural testing, adds consideration to factors such as power generation capacity, declared maximum capacity, post-maintenance capacity, and plant power consumption rate. It also considers the sensitivity factor of the unit to conventional sections, and more accurately measures the market share composition of market participants in the local regional market formed by conventional sections, which is more meaningful for local market power testing.

[0028] This invention calculates a single-oligopoly test index based on the calculation results of the effective mitigation of power flow demand and the calculation results of the effective mitigation of congestion. Based on the results of the single-oligopoly test index, it identifies non-competitive congestion sections. This method is applicable to the oligopoly test calculation logic in the early stage of market development and can accurately identify the units that must be turned on due to congestion mitigation, thereby achieving effective identification of local market power. On the one hand, it avoids such units from exercising local market power, and on the other hand, the method does not contain other hypothetical factors and is easily accepted by market participants in the early stage of market development. Attached Figure Description

[0029] The accompanying drawings, which form part of this specification, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an undue limitation of the invention. In the drawings:

[0030] Figure 1 This invention provides a flowchart illustrating a method for determining non-competitive congestion sections in the electricity spot market.

[0031] Figure 2 This is a flowchart illustrating another method for determining non-competitive congestion sections in the electricity spot market according to the present invention.

[0032] Figure 3 This is a structural block diagram of a determination array for a non-competitive blocking section in the electricity spot market according to the present invention.

[0033] Figure 4 This is a structural block diagram of an electronic device according to the present invention. Detailed Implementation

[0034] The present invention will now be described in detail with reference to the accompanying drawings and embodiments. It should be noted that, unless otherwise specified, the embodiments and features described herein can be combined with each other.

[0035] The following detailed description is exemplary and intended to provide further detailed explanation of the invention. Unless otherwise specified, all technical terms used in this invention have the same meaning as commonly understood by one of ordinary skill in the art. The terminology used in this invention is for describing particular embodiments only and is not intended to limit the scope of exemplary embodiments according to the invention.

[0036] This invention treats the local area associated with a conventional cross-section as a relatively independent "market"; considers the electricity that power generation market members in the local area can provide to alleviate congestion as the supply side; considers the total electricity required to alleviate the congestion of the cross-section as the demand side; and scores market members by combining the HHI of structural market power and the oligopoly test index. If there are units that must operate in the area associated with the congested cross-section, the congested cross-section is determined to be a non-competitive congested cross-section, and then the market members associated with the cross-section are subject to corresponding local market power measures.

[0037] Example 1

[0038] Please see Figure 1 As shown, this invention provides a method for determining non-competitive congestion sections in the electricity spot market, comprising the following steps:

[0039] S1. Obtain the influence relationship between the output of each unit on the power flow of the conventional section in the spot electricity market, and divide the conventional section into conventional sections that must not exceed the limit, conventional sections that must exceed the limit, and conventional sections in an undetermined state.

[0040] S2. For conventional cross sections that must exceed the limit and conventional cross sections in an undetermined state, calculate the dynamic effective HHI of the cross section.

[0041] S3. Identify sections with non-competitive potential based on the dynamic effective HHI of the cross section;

[0042] S4. For the identified cross-sections with non-competitive potential, calculate the effective mitigation of tidal current demand and obtain the calculation results of the effective mitigation of tidal current demand.

[0043] S5. For the identified cross sections with non-competitive potential, calculate the effective blockage mitigation capability of the relevant entities of the cross section and obtain the calculation results of the effective blockage mitigation capability of the relevant entities of the cross section.

[0044] S6. Based on the calculation results of the effective mitigation of power flow demand at the cross-section and the calculation results of the effective mitigation of congestion capacity of the relevant entities at the cross-section, calculate the single oligopoly test index; based on the single oligopoly test index results, identify non-competitive congestion cross-sections.

[0045] Example 2

[0046] Please see Figure 2 As shown, this invention provides a method for determining non-competitive congestion sections in the electricity spot market, comprising the following steps:

[0047] S1, Pre-identification of Blockage Section

[0048] Before optimizing the clearing solution, pre-identification of congestion sections is conducted. First, based on the impact of unit output on the power flow of conventional sections, it is assumed that adjusting the unit output to the value most detrimental to alleviating congestion (i.e., adjusting to maximum / minimum output, or shutting down) will determine whether the power flow limit value of the conventional section exceeds the section limit. This pre-classifies conventional sections into: those that will not exceed the limit, those that will exceed the limit, and those in an undetermined state. For those that will not exceed the limit, subsequent non-competitive congestion section identification is not performed.

[0049] The specific method for pre-identifying the aforementioned obstruction section is as follows:

[0050] For positive cross-sectional constraints, let i1 represent the set of units with positive sensitivity to them, and i2 represent the set of units with negative sensitivity to them. Sensitivity refers to the power transmission distribution factor of a unit on the cross-section, representing the impact of increasing unit output by 1 MW on the power flow of a conventional cross-section. Assume the maximum technical output of unit i is... The minimum output is 0 (if it is a unit that must be started, assume the output is the minimum technical output), using P i The tidal current values ​​at the cross section under the limit state are shown in equations (1) and (2).

[0051]

[0052]

[0053] Among them, ptdf i,n This represents the sensitivity of unit i to section n, and the effect of increasing i's output by 1MW on conventional section n. If the limiting power flow a... n If the cross-sectional limit is less than or equal to the limit value, the cross-section is identified as a "must-not-exceed-limit conventional cross-section"; if the limiting power flow b n >The cross-sectional limit is defined as a "conventional cross-section that must exceed the limit"; otherwise, the cross-section is defined as a "conventional cross-section in an undetermined state".

[0054] For the reverse section constraint, let i1 represent the set of units with positive sensitivity, and i2 represent the set of units with negative sensitivity. Assume the maximum technical output of unit i is... The minimum output is 0 (if it is a unit that must be started, assume the output is the minimum technical output), using P i Indicates; calculates the cross-sectional tidal current value under the limit state:

[0055]

[0056]

[0057] Among them, ptdf i,n This represents the sensitivity of unit i to section n, and the effect of increasing i's output by 1MW on conventional section n. If the limiting power flow a... n ≥-section limit, the section is identified as a "must-not-exceed-limit conventional section"; if the limiting power flow b n <- Cross-sectional limit value, the cross-section is identified as a "conventional cross-section that must exceed the limit"; otherwise, the cross-section is a "conventional cross-section in a pending state".

[0058] S2. Calculation of the dynamic effective HHI of the cross section

[0059] For positive cross-sectional constraints, HHI is calculated based on the effective capacity of negative sensitivity units within the power generation group, as shown in Equation (5).

[0060]

[0061] For reverse section constraints, HHI is calculated based on the effective capacity of positive sensitivity units within the power generation group, as shown in Equation (6).

[0062]

[0063] The calculation logic for the effective capacity of units related to conventional cross sections is shown in equation (7).

[0064] S n,i =min{C,A,B,X}*(1-u)*ptdf n,i (7)

[0065] Where C refers to rated installed capacity, A represents power generation capacity, B represents the declared maximum capacity, X represents the capacity after maintenance, u refers to plant power consumption rate, and ptdf n,i It is the sensitivity of unit i to conventional cross section n.

[0066] S3. Delineate sections with non-competitive potential.

[0067] First, based on the relevant logic in step S1, exclude "the conventional cross-section that must not exceed the limit".

[0068] Then, for the set of cross sections that enter subsequent testing, the number of market participants that can alleviate congestion in each cross section is calculated. If the number is less than or equal to three, the cross section is defined as a cross section with non-competitive potential and needs to be further tested for non-competitiveness.

[0069] Finally, based on the dynamic HHI in step S2, if HHI > the set threshold, the section is also classified as a section with non-competitive potential and requires further non-competitive testing.

[0070] S4, Calculation to effectively alleviate the demand for trendy items

[0071] Considering that most provincial electricity spot markets model the power flow limit constraints of conventional sections as DC power flow constraints in their optimization models, the calculation logic for effectively alleviating power flow demand at the section is shown in Equations (8) and (9) in combination with the section power flow constraint modeling.

[0072]

[0073]

[0074] in, This indicates that the positive cross-section effectively alleviates the demand for tidal current. This indicates that the reverse cross-section effectively alleviates the power flow demand, P i This represents the unit output, where N is the set of all units, and P... j M is the bus load, P is the bus node, and P is the bus load. l For tie line power, T is the tie line set. L n + For the cross-sectional positive limit, L n - The limit is set for the reverse section.

[0075] S5. Calculation of the effective congestion mitigation capability of relevant cross-section components.

[0076] Consistent with the consideration of market share of cross-section related entities in step S2, the calculation logic of the effective power flow mitigation capability of the unit related to the conventional cross-section is the same as that in formula (7). That is, the effective congestion mitigation capability of the cross-section related entities also takes into account the unit's rated capacity, power generation capacity, unit maintenance, and the unit's sensitivity to conventional cross-sections before considering the congestion mitigation capability.

[0077] S6. Calculation of Oligopoly Test Indicators

[0078] For the set of cross-sections with non-competitive potential defined in step S3, calculate the oligopoly test index for each relevant market member in the cross-section, as shown in Equation (10).

[0079]

[0080] in, Indicates the unit i to be tested test The single-oligopoly test score in the local region formed by the positive power flow constraint at section n, itest Indicates the unit to be tested. This indicates the positive and effective congestion mitigation capability of unit i for section n. This indicates that the positive cross-section effectively alleviates power flow demand. Similarly, the unit under test i test Single oligopoly test score in the local region formed by the reverse power flow constraint at section n. As shown in equation (11).

[0081]

[0082] If a market participant's oligopoly test metric is less than 1, that market participant has failed the oligopoly test. If one or more market participants in a given section fail the oligopoly test, that section is classified as a non-competitive blocking section. The related market participants that failed the oligopoly test are deemed to possess local market power and require market power adjustments such as price substitution.

[0083] This invention proposes a method for determining non-competitive congestion sections in the provincial day-ahead electricity market, enabling accurate determination of local market power at congestion sections. This method helps improve fair competition and stable, efficient operation of the electricity spot market and is suitable for promotion and application in pilot provinces of centralized electricity spot markets.

[0084] The non-competitive blocking section determination method established in this invention can also serve as a criterion for determining the units that must be operated in the early stages of market development, thereby suppressing the consequences of local market participants bidding high prices due to transmission congestion.

[0085] Example 3

[0086] Please see Figure 3 As shown, the present invention provides a device for determining non-competitive congestion sections in the electricity spot market, comprising:

[0087] The acquisition and division module is used to obtain the influence relationship between the output of each unit on the power flow of the conventional section in the power spot market, and divide the conventional section into conventional sections that must not exceed the limit, conventional sections that must exceed the limit, and conventional sections in an undetermined state.

[0088] The HHI calculation module is used to calculate the dynamic effective HHI of a cross-section for both conventional cross-sections that must exceed the limit and conventional cross-sections in an undetermined state.

[0089] The first identification module is used to identify sections with non-competitive potential based on the dynamic effective HHI of the cross section;

[0090] The first calculation module is used to calculate the effective mitigation of tidal current demand for the identified cross sections with non-competitive potential, and obtain the calculation results of the effective mitigation of tidal current demand.

[0091] The second calculation module is used to calculate the effective blockage mitigation capability of the relevant entities of the identified cross sections with non-competitive potential, and obtain the calculation results of the effective blockage mitigation capability of the relevant entities of the cross sections.

[0092] The second identification module is used to calculate the single oligopoly test index based on the calculation results of the effective mitigation of power flow demand of the cross section and the calculation results of the effective mitigation of congestion capacity of the relevant entities of the cross section; and to identify non-competitive congestion cross sections based on the results of the single oligopoly test index.

[0093] The partitioning module is used to calculate the sectional power flow values ​​under the limit state for positive cross-sectional constraints, as shown in equations (1) and (2):

[0094]

[0095]

[0096] Here, i1 represents the set of units with positive sensitivity, and i2 represents the set of units with negative sensitivity; assuming the maximum technical output of unit i is... Minimum output P i It means; ptdf i,n This represents the sensitivity of unit i to section n, and the effect of increasing i's output by 1MW on conventional section n; if the limiting power flow a n If the limit value is less than or equal to the cross-sectional limit, the corresponding cross-section is identified as a conventional cross-section that must not exceed the limit; if the limiting power flow b n >The cross-sectional limit is used to identify the corresponding cross-section as a conventional cross-section that must exceed the limit; otherwise, the corresponding cross-section is a conventional cross-section in an undetermined state.

[0097] For reverse section constraints, calculate the section power flow values ​​under the limit state:

[0098]

[0099]

[0100] Among them, if the extreme current a n >- Cross-sectional limits, the corresponding cross-section is identified as a conventional cross-section that must not exceed the limit; if the extreme power flow b n If the value is less than or equal to the cross-sectional limit, the corresponding cross-section is identified as a conventional cross-section that must exceed the limit; otherwise, the corresponding cross-section is a conventional cross-section in an undetermined state.

[0101] The steps for the HHI calculation module to calculate the dynamic effective HHI of a cross-section specifically include:

[0102] For positive cross-sectional constraints, HHI is calculated based on the effective capacity of negative-sensitivity units within the power generation group:

[0103]

[0104] For reverse section constraints, HHI is calculated based on the effective capacity of positive sensitivity units within the power generation group:

[0105]

[0106] The calculation logic for the effective capacity of units related to conventional cross-sections is shown in equation (7):

[0107] S n,i =min{C,A,B,X}*(1-u)*ptdf n,i (7)

[0108] Where C refers to the rated installed capacity, A represents the power generation capacity, B represents the declared maximum capacity, X represents the capacity after maintenance, u refers to the plant power consumption rate, and ptdf n,i It is the sensitivity of unit i to conventional cross section n.

[0109] The first identification module identifies sections with non-competitive potential based on the dynamic effective HHI of the cross-section, specifically including:

[0110] For conventional sections that must exceed the limit and conventional sections in an undetermined state, calculate the number of market participants that can alleviate the blockage for each section. If the number is less than or equal to three, the corresponding section is designated as a section with non-competitive potential.

[0111] For conventional cross sections that must exceed the limit and conventional cross sections in an undetermined state, if the dynamic effective HHI of the cross section is greater than the set threshold, the corresponding cross section is designated as a cross section with non-competitive potential.

[0112] The first calculation module performs calculations on the identified cross-sections with non-competitive potential to effectively alleviate tidal current demand, obtaining the calculation results for effectively alleviating tidal current demand, specifically including:

[0113] Combining cross-sectional power flow constraint modeling, the calculation logic for effectively mitigating power flow demand at the cross-section is shown in equations (8) and (9):

[0114]

[0115]

[0116] in, This indicates that the positive cross-section effectively alleviates the demand for tidal current. This indicates that the reverse cross-section effectively alleviates the power flow demand, P i This represents the unit output, where N is the set of all units, and P... j M is the bus load, P is the bus node, and P is the bus load. l For tie line power, T is the tie line set; Ln + For the cross-sectional positive limit, L n - The limit is set for the reverse section.

[0117] The second identification module calculates the single-oligopoly test index based on the calculation results of the effective mitigation of power flow demand at the cross-section and the calculation results of the effective mitigation of congestion capacity of the relevant entities at the cross-section; based on the single-oligopoly test index results, it identifies non-competitive congestion cross-sections, specifically including:

[0118] For a set of cross-sections with non-competitive potential, calculate the oligopoly test metric for each relevant market participant in each cross-section:

[0119]

[0120] in, Indicates the unit i to be tested test The single-oligopoly test score in the local region formed by the positive power flow constraint at section n, i test Indicates the unit to be tested. This indicates the positive and effective congestion mitigation capability of unit i for section n. This indicates that the positive cross-section effectively alleviates the demand for power flow;

[0121] Unit i under test test Single oligopoly test index in the local region formed by the reverse power flow constraint at section n. for:

[0122]

[0123] If a market member's oligopoly test metric is less than 1, then the corresponding market member has failed the oligopoly test; if one or more market members in a cross section have failed the oligopoly test, then the corresponding cross section is determined to be a non-competitive blocking cross section.

[0124] Example 4

[0125] Please see Figure 4 As shown, the present invention also provides an electronic device 100 for determining a non-competitive congestion section in the electricity spot market; the electronic device 100 includes a memory 101, at least one processor 102, a computer program 103 stored in the memory 101 and executable on the at least one processor 102, and at least one communication bus 104.

[0126] The memory 101 can be used to store the computer program 103. The processor 102 implements the method steps of the method for determining non-competitive congestion sections in the electricity spot market as described in any of Embodiments 1 and 2 by running or executing the computer program stored in the memory 101 and calling the data stored in the memory 101. The memory 101 may mainly include a program storage area and a data storage area. The program storage area may store the operating system, at least one application program required for a function (such as sound playback function, image playback function, etc.), etc.; the data storage area may store data created according to the use of the electronic device 100 (such as audio data), etc. In addition, the memory 101 may include non-volatile memory, such as hard disk, memory, plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, at least one disk storage device, flash memory device, or other non-volatile solid-state storage device.

[0127] The at least one processor 102 may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The processor 102 may be a microprocessor or any conventional processor. The processor 102 is the control center of the electronic device 100, connecting various parts of the electronic device 100 via various interfaces and lines.

[0128] The memory 101 in the electronic device 100 stores multiple instructions to implement a method for determining non-competitive congestion sections in the electricity spot market, and the processor 102 can execute the multiple instructions to achieve the following:

[0129] To obtain the impact of the output of each generating unit on the power flow of conventional sections in the electricity spot market, conventional sections are divided into conventional sections that must not exceed the limit, conventional sections that must exceed the limit, and conventional sections in an undetermined state.

[0130] For conventional cross sections that must exceed the limit and conventional cross sections in an undetermined state, calculate the dynamic effective HHI of the cross section;

[0131] Identify sections with non-competitive potential based on the dynamic effective HHI of the cross section;

[0132] For the identified cross sections with non-competitive potential, the calculation of effective mitigation of tidal current demand is performed, and the calculation results of effective mitigation of tidal current demand are obtained.

[0133] For the identified cross sections with non-competitive potential, the effective blockage mitigation capacity of the relevant cross section entities is calculated, and the calculation results of the effective blockage mitigation capacity of the relevant cross section entities are obtained.

[0134] Based on the calculation results of the effective mitigation of power flow demand at the cross-section and the calculation results of the effective mitigation of congestion capacity of the relevant entities at the cross-section, the single oligopoly test index is calculated; based on the results of the single oligopoly test index, non-competitive congestion cross-sections are identified.

[0135] Example 5

[0136] If the modules / units integrated in the electronic device 100 are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments of the present invention can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM).

[0137] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0138] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0139] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0140] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0141] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for determining non-competitive congestion sections in an electricity spot market, characterized by, Includes the following steps: To obtain the impact of the output of each generating unit on the power flow of conventional sections in the electricity spot market, conventional sections are divided into conventional sections that must not exceed the limit, conventional sections that must exceed the limit, and conventional sections in an undetermined state. For the conventional cross-section that must exceed the limit and the conventional cross-section in the undetermined state, calculate the dynamic effective HHI of the cross-section; Based on the cross-section dynamic effective HHI identification, cross-sections with non-competitive potential are identified, and the identified cross-sections with non-competitive potential are obtained. For the identified cross-sections with non-competitive potential, the calculation of effective mitigation of power flow demand is performed to obtain the calculation results of effective mitigation of power flow demand. For the identified cross sections with non-competitive potential, the effective blockage mitigation capability of the cross section-related entities is calculated to obtain the calculation results of the effective blockage mitigation capability of the cross section-related entities. Based on the calculation results of the effective mitigation of power flow demand and the calculation results of the effective mitigation of congestion capacity, the single oligopoly test index is calculated; Based on the aforementioned oligopoly test indicators, non-competitive blocking sections are identified; The steps for calculating the dynamic effective HHI of a cross-section for both conventional cross-sections that must exceed the limit and conventional cross-sections in an undetermined state specifically include: For positive cross-sectional constraints, HHI is calculated based on the effective capacity of negative-sensitivity units within the power generation group: （5） For reverse section constraints, HHI is calculated based on the effective capacity of positive sensitivity units within the power generation group: （6） The calculation logic for the effective capacity of units related to conventional cross-sections is shown in equation (7): （7） wherein, refers to the rated installed capacity, represents the power generation capacity, represents the declared maximum capacity, represents the capacity after maintenance, refers to the plant utilization rate, is the unit of the conventional section sensitivity; Based on the calculation results of the effective mitigation of power flow demand and the calculation results of the effective mitigation of congestion capacity, a single oligopoly test index is calculated; based on the single oligopoly test index results, the step of identifying non-competitive congestion sections specifically includes: For a set of cross-sections with non-competitive potential, calculate the oligopoly test metric for each relevant market participant in each cross-section: （10） wherein, denotes the set of units to be tested at the section monopoly test score in the local area formed by the forward congestion constraint, denotes the set of units to be tested denotes the set of units for the section forward effective congestion relief capability, denotes the forward section effective congestion relief demand; Machine under test At the section Monopolistic test indicators in local areas formed by reverse flow constraints Is: （11） If a market member's oligopoly test metric is less than 1, then the corresponding market member has failed the oligopoly test; if one or more market members in a cross section have failed the oligopoly test, then the corresponding cross section is determined to be a non-competitive blocking cross section.

2. The method of claim 1, wherein the non-competitive congestion section of the electricity spot market is determined by the steps of: The steps for obtaining the impact of each generating unit's output on the power flow of conventional sections in the electricity spot market, and dividing conventional sections into those that must not exceed limits, those that must exceed limits, and those in an undetermined state, specifically include: For positive cross-sectional constraints, the cross-sectional power flow values ​​under the limit state are shown in equations (1) and (2): （1） （2） Among them, using This represents the set of units with positive sensitivity. This represents the set of generator units with negative sensitivity; assuming the generator units... Maximum technical output is ; Minimum output for express; Indicates the unit cross section Sensitivity, representing Adding 1MW of power to the conventional cross section The impact; if the extreme current Cross-sectional limits, the corresponding cross-sections are identified as conventional cross-sections that must not exceed the limits; if the extreme power flow... The cross-sectional limit is used to identify the corresponding cross-section as a conventional cross-section that must exceed the limit; otherwise, the corresponding cross-section is a conventional cross-section in an undetermined state. For reverse section constraints, calculate the section power flow values ​​under the limit state: （3） （4） Among them, if extreme current - Cross-sectional limits, corresponding cross-sections are identified as conventional cross-sections that must not exceed limits; if extreme power flow... - Section limit value, the corresponding section is identified as a conventional section that must exceed the limit; in other cases, the corresponding section is a conventional section in an undetermined state.

3. The method for determining non-competitive congestion sections in the electricity spot market according to claim 1, characterized in that, The step of identifying sections with non-competitive potential based on the dynamic effective HHI of the section specifically includes: For conventional sections that must exceed the limit and conventional sections in an undetermined state, calculate the number of market participants that can alleviate the blockage for each section. If the number is less than or equal to three, the corresponding section is designated as a section with non-competitive potential. For conventional cross sections that must exceed the limit and conventional cross sections in an undetermined state, if the dynamic effective HHI of the cross section is greater than the set threshold, the corresponding cross section is designated as a cross section with non-competitive potential.

4. The method of claim 1, wherein the non-competitive congestion section of the electricity spot market is determined by the steps of: The step of calculating the effective mitigation of tidal current demand for the identified cross-sections with non-competitive potential, and obtaining the calculation results of the effective mitigation of tidal current demand, specifically includes: Combining cross-sectional power flow constraint modeling, the calculation logic for effectively mitigating power flow demand at the cross-section is shown in equations (8) and (9): （8） （9） in, This indicates that the positive cross-section effectively alleviates the demand for tidal current. This indicates that the reverse cross-section effectively alleviates the demand for power flow. Indicates the unit's output. For all units, For bus load, For the set of bus nodes, For the power supply of the connecting line, For the collection of connecting lines; For cross-sectional positive limit, The limit is set for the reverse section.

5. A device for determining non-competitive congestion sections in the electricity spot market, characterized in that, include: The acquisition and division module is used to obtain the influence relationship between the output of each unit on the power flow of the conventional section in the power spot market, and divide the conventional section into conventional sections that must not exceed the limit, conventional sections that must exceed the limit, and conventional sections in an undetermined state. The HHI calculation module is used to calculate the dynamic effective HHI of the cross section for the conventional cross section that must exceed the limit and the conventional cross section in the undetermined state. The first identification module is used to identify sections with non-competitive potential based on the dynamic effective HHI of the cross section, and to obtain the identified sections with non-competitive potential. The first calculation module is used to calculate the effective mitigation of tidal current demand for the identified cross-sections with non-competitive potential, and obtain the calculation results of the effective mitigation of tidal current demand. The second calculation module is used to calculate the effective blockage relief capability of the relevant entities of the identified cross-sections with non-competitive potential, and obtain the calculation result of the effective blockage relief capability of the relevant entities of the cross-sections. The second identification module is used to calculate the single oligopoly test index based on the calculation results of the effective mitigation of power flow demand and the calculation results of the effective mitigation of congestion capability. Based on the aforementioned oligopoly test indicators, non-competitive blocking sections are identified; The steps for the HHI calculation module to calculate the dynamic effective HHI of a cross-section specifically include: For positive cross-sectional constraints, HHI is calculated based on the effective capacity of negative-sensitivity units within the power generation group: （5） For reverse section constraints, HHI is calculated based on the effective capacity of positive sensitivity units within the power generation group: （6） The calculation logic for the effective capacity of units related to conventional cross-sections is shown in equation (7): （7） in, This refers to the rated installed capacity. Indicates power generation capacity. Indicates the maximum capacity to be declared. This indicates the capacity after maintenance. This refers to the plant's power consumption rate. It is a generator set For conventional cross-sections Sensitivity; The second identification module calculates a single-oligopoly test index based on the calculation results of the effective mitigation of power flow demand and the calculation results of the effective mitigation of congestion capability; and identifies non-competitive congestion sections based on the single-oligopoly test index, specifically including: For a set of cross-sections with non-competitive potential, calculate the oligopoly test metric for each relevant market participant in each cross-section: （10） in, Indicates the unit to be tested In cross-section The single-oligopoly test score in a local region formed by positive power flow constraints. Indicates the unit to be tested. Indicates the unit For cross-section Its positive and effective ability to alleviate congestion. This indicates that the positive cross-section effectively alleviates the demand for power flow; Unit under test In cross-section Single oligopoly test index in local regions formed by reverse power flow constraints for: （11） If a market member's oligopoly test metric is less than 1, then the corresponding market member has failed the oligopoly test; if one or more market members in a cross section have failed the oligopoly test, then the corresponding cross section is determined to be a non-competitive blocking cross section.

6. The device for determining non-competitive congestion sections in the electricity spot market according to claim 5, characterized in that, The partitioning module is used to calculate the sectional power flow values ​​under the limit state for positive cross-sectional constraints, as shown in equations (1) and (2): （1） （2） Among them, using This represents the set of units with positive sensitivity. This represents the set of generator units with negative sensitivity; assuming the generator units... Maximum technical output is ;Minimum output for express; Indicates the unit cross section Sensitivity, representing Adding 1MW of power to the conventional cross section The impact; if the extreme current Cross-sectional limits, the corresponding cross-sections are identified as conventional cross-sections that must not exceed the limits; if the extreme power flow... The cross-sectional limit is used to identify the corresponding cross-section as a conventional cross-section that must exceed the limit; otherwise, the corresponding cross-section is a conventional cross-section in an undetermined state. For reverse section constraints, calculate the section power flow values ​​under the limit state: （3） （4） Among them, if extreme current - Cross-sectional limits, corresponding cross-sections are identified as conventional cross-sections that must not exceed limits; if extreme power flow... The cross-sectional limit is used to identify the corresponding cross-section as a conventional cross-section that must exceed the limit; otherwise, the corresponding cross-section is a conventional cross-section in an undetermined state.

7. The device for determining non-competitive congestion sections in the electricity spot market according to claim 5, characterized in that, The first identification module identifies sections with non-competitive potential based on the dynamic effective HHI of the cross-section, specifically including: For conventional sections that must exceed the limit and conventional sections in an undetermined state, calculate the number of market participants that can alleviate the blockage for each section. If the number is less than or equal to three, the corresponding section is designated as a section with non-competitive potential. For conventional cross sections that must exceed the limit and conventional cross sections in an undetermined state, if the dynamic effective HHI of the cross section is greater than the set threshold, the corresponding cross section is designated as a cross section with non-competitive potential.

8. The device for determining non-competitive congestion sections in the electricity spot market according to claim 5, characterized in that, The first calculation module performs calculations on the identified cross-sections with non-competitive potential to effectively alleviate tidal current demand, obtaining the calculation results for effectively alleviating tidal current demand, specifically including: Combining cross-sectional power flow constraint modeling, the calculation logic for effectively mitigating power flow demand at the cross-section is shown in equations (8) and (9): （8） （9） in, This indicates that the positive cross-section effectively alleviates the demand for tidal current. This indicates that the reverse cross-section effectively alleviates the demand for power flow. Indicates the unit's output. For all units, For bus load, For bus node, For the power supply of the connecting line, For the collection of connecting lines; For cross-sectional positive limit, The limit is set for the reverse section.

9. An electronic device, comprising: The electronic device includes a processor and a memory, the processor being used to execute a computer program stored in the memory to implement a method for determining non-competitive congestion sections in the electricity spot market as described in any one of claims 1 to 4.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores at least one instruction, which, when executed by a processor, implements a method for determining non-competitive congestion sections in the electricity spot market as described in any one of claims 1 to 4.

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