Frequency modulation auxiliary service market safety checking and auxiliary decision-making method, medium and equipment

Abstract

The invention discloses a frequency modulation auxiliary service market safety checking and auxiliary decision-making method, medium and equipment, and belongs to the technical field of power system frequency modulation auxiliary service markets, and the method comprises the steps: collecting power grid model data in real time; unified verification and dynamic topology analysis are carried out on the power grid model data, and a standardized frequency modulation market safety verification scene library is constructed; establishing a check plan database based on the frequency modulation market clearing result, the power grid plan data and the load prediction data; carrying out load flow calculation and out-of-limit analysis on the clearing result of the frequency modulation market through N-1 fault scanning and ground state load flow calculation to obtain a load flow sensitivity coefficient of output of each generator set to a target power transmission section, and calculating an out-of-limit influence factor of each generator set; and an optimal adjustment scheme of the clearing result of the frequency modulation market is generated based on the economic benefit maximization of the frequency modulation auxiliary service market. According to the method, the problem of power grid out-of-limit possibly caused by market clearing results in the prior art is solved, and the problem that economic optimal allocation of frequency modulation resources cannot be realized is solved.

Description

Technical Field

[0001] The present invention relates to a frequency regulation auxiliary service market security verification and auxiliary decision-making method, medium and equipment, belonging to the technical field of power system frequency regulation auxiliary service market. Background Art

[0002] In the current development of the power market, regional frequency regulation ancillary service markets have generally adopted a "price first, capacity satisfied" clearing mechanism. The typical operating model is: generator bids are ranked from low to high, prioritizing those meeting the minimum frequency regulation requirements of the resource area. The remaining capacity is then cleared through network-wide competition. Market operations utilize a two-stage model: day-ahead pre-clearing and intraday formal clearing. The day-ahead stage determines the unit composition framework, while the intraday stage enables refined adjustments based on real-time operating conditions. To ensure grid security, the current technical solution primarily relies on manual verification of clearing results by dispatchers. By comparing historical operating data with empirical thresholds, they focus on identifying power over-limit risks at key locations, such as power plant outbound sections. This manual verification approach maintains basic safety under normal operating conditions, but it has become a significant dependency on technical paths.

[0003] Existing technologies suffer from two core flaws: First, a lack of safety verification—manual verification can only perform static checks on a limited number of pre-defined sections. This makes it impossible to dynamically assess the safety status of the entire network under an N-1 fault, nor is it easy to quantify the impact of unit frequency regulation on complex sections. This can lead to market clearing that could trigger hidden grid over-limit risks. Second, insufficient economic optimization capabilities—when verification identifies safety risks, current methods employ a crude approach of simply eliminating high-priced units. This approach fails to establish a quantitative relationship between unit regulation capability and section sensitivity, nor does it consider differentiated adjustment strategies for different over-limit scenarios, resulting in economic losses in frequency regulation resource allocation. Especially in an environment with a high proportion of renewable energy access, the response speed and calculation accuracy of manual verification can no longer cope with minute-level fluctuations on both the source and load sides, exposing three prominent problems: (1) When the output of renewable energy changes suddenly, it is impossible to manually recalculate the cumulative impact of the clearing plan on weak sections in real time; (2) When energy storage equipment participates in frequency regulation, traditional methods find it difficult to analyze the coupling effect of its charging and discharging power on multi-section currents; (3) When the load forecast deviation increases, there is a lack of automated sensitivity analysis tools to support rapid decision-making, which ultimately leads to a double loss of system safety margin and market economic benefits. Summary of the Invention

[0004] The purpose of the present invention is to provide a frequency regulation auxiliary service market security verification and auxiliary decision-making method, medium and equipment, through dynamic topology analysis and multi-dimensional security verification, to solve the problem of power grid over-limit caused by market clearing results in the existing technology and the problem that the economic optimal allocation of frequency regulation resources cannot be achieved.

[0005] In order to solve the above technical problems, the present invention is implemented by adopting the following technical solutions:

[0006] In a first aspect, the present invention provides a method for security verification and auxiliary decision-making in a frequency modulation auxiliary service market, comprising:

[0007] Real-time collection of power grid model data, including power plant basic data, unit operation data, network topology data, and frequency regulation market clearing data;

[0008] Perform unified verification and dynamic topology analysis on the power grid model data to build a standardized frequency regulation market safety verification scenario library;

[0009] A verification plan database is established based on the frequency regulation market clearing results, power grid planning data and load forecast data, including:

[0010] The power grid planning data includes equipment maintenance plan and regional interconnection line plan;

[0011] The load forecast data includes bus load forecast results;

[0012] Based on the standardized safety verification scenario library and the verification plan database, the frequency regulation market clearing results are subjected to power flow calculation and over-limit analysis through N-1 fault scanning and base state power flow calculation to obtain the power flow sensitivity coefficient of each generator output to the target transmission section;

[0013] The over-limit impact factor of each generator set is calculated based on the power flow sensitivity coefficient of each generator set to the target transmission section, and the optimal adjustment plan for the frequency regulation market clearing result is generated based on the maximization of the economic benefits of the frequency regulation auxiliary service market.

[0014] Furthermore, the basic data of the power plant includes the equipment parameters of the generator set; the unit operation data includes the generator set output plan and the winning bid required capacity; the network topology data includes the electrical connection relationship between the power grid equipment and the busbar electrical connection relationship; the frequency regulation market clearing data includes the unit frequency regulation capacity quotation and the current frequency regulation market clearing results.

[0015] Furthermore, the grid model data is uniformly verified and dynamically topologically analyzed to build a standardized frequency regulation market safety verification scenario library, including:

[0016] The grid model data is subjected to data integrity check and rationality verification to obtain a standardized grid model; a busbar model and an electrical island model are constructed based on the standardized grid model through an incremental model import method to form a standardized frequency regulation market safety verification scenario library.

[0017] Furthermore, through the incremental model import method, busbar models and electrical island models are constructed based on the standardized power grid model, forming a standardized frequency regulation market safety verification scenario library, including:

[0018] Based on the standardized power grid model, it captures equipment commissioning and decommissioning events and topology connection relationship change signals between devices in real time, and uses a hash-based difference comparison algorithm based on the electrical connection relationship between power grid devices to generate local update instructions, including adding and deleting busbar nodes and modifying the electrical connection relationship between power grid devices;

[0019] Based on the node contraction algorithm in graph theory, the electrical connection relationship between power grid devices is reconstructed through local update instructions, and the busbars are identified and numbered to build a busbar model;

[0020] Divide the electrical island area according to the busbar electrical connection relationship to build an electrical island model;

[0021] The integrated busbar model and electrical island model form a standardized frequency regulation market safety verification scenario library.

[0022] Furthermore, the standardized safety verification scenario library includes typical scenarios and custom scenarios;

[0023] The typical scenarios include output adjustment scenarios of winning units, positively correlated unit adjustment scenarios, and negatively correlated unit adjustment scenarios;

[0024] The output adjustment scenario of the winning unit is used to simulate all the generator sets that have won the bid in the frequency regulation auxiliary service market under the constraint of maintaining system power balance, and adjust the output of all the winning generator sets to the preset planned value ± the winning capacity;

[0025] The positively correlated unit adjustment scenario is used to simulate all generator sets that are positively correlated with the power flow impact of the target transmission section, while satisfying the upper and lower limit constraints of the generator set output, and adjust the output of all generator sets that are positively correlated with the power flow impact of the target transmission section to the preset planned value + the winning bid capacity;

[0026] The negatively correlated unit adjustment scenario is used to simulate all generator sets that are negatively correlated with the power flow of the target transmission section, while satisfying the upper and lower limit constraints of the generator set output, and adjust the output of all generator sets that are negatively correlated with the power flow of the target transmission section to the preset planned value + the winning bid capacity;

[0027] The custom scenarios include the partition frequency regulation resource ratio adjustment scenario and the unit bid capacity call ratio safety verification scenario;

[0028] The partition frequency regulation resource ratio adjustment scenario is used to customize the output ratio scenario of the winning units in different frequency regulation resource zones;

[0029] The unit's winning capacity call ratio safety check scenario is used to customize the winning capacity call ratio of any winning unit and perform a safety check.

[0030] Furthermore, the method for obtaining the tidal current sensitivity coefficient includes:

[0031] By simulating the fault conditions of each generator set, the grid operation status including the electrical connection relationship between grid equipment, generator set output plan, bus load forecast data and generator set equipment parameters is obtained;

[0032] Based on the current operating status of the power grid, through base state power flow calculation and N-1 fault scanning, the power flow change of the target transmission section when the output of each generator set changes by one unit is calculated, and the power flow sensitivity coefficient of each generator set to the target transmission section is obtained.

[0033] Furthermore, the limit-crossing impact factor is expressed as:

[0034] ;

[0035] Where, For the Units for the The over-limit impact factor of each target transmission section, For the Units for the The power flow sensitivity coefficient of the target transmission section, For the The winning bid capacity of each unit, No. The sorting price of each unit, For the The weight of each target transmission section.

[0036] Furthermore, based on the maximization of the economic benefits of the frequency regulation ancillary service market, the optimal adjustment plan for the frequency regulation market clearing result is generated, including:

[0037] Screen out generators whose over-limit impact factors exceed the preset over-limit threshold and remove them from the current frequency regulation market clearing results;

[0038] The remaining generating units are eliminated in descending order of their frequency regulation capacity quotations until the remaining winning capacity meets the winning capacity requirement, and the current frequency regulation market clearing result is output.

[0039] In a second aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the frequency modulation auxiliary service market security verification and auxiliary decision-making method as described in the first aspect is implemented.

[0040] In a third aspect, the present invention provides a computer device, comprising:

[0041] a memory for storing instructions;

[0042] The processor is used to execute the instructions so that the device performs operations to implement the frequency modulation auxiliary service market security verification and auxiliary decision-making method as described in the first aspect.

[0043] Compared with the prior art, the present invention has the following beneficial effects:

[0044] 1. This invention achieves a coordinated optimization of safety constraints and economic efficiency in frequency regulation market clearing results by constructing a standardized frequency regulation market safety verification scenario library and verification plan database, combined with N-1 fault scanning and power flow sensitivity analysis technology. This method can accurately quantify the over-limit impact of generator output on key sections of the power grid. While ensuring the safe and stable operation of the power grid, it dynamically generates an optimal adjustment plan that takes into account the maximization of the economic benefits of the frequency regulation auxiliary service market. This effectively avoids the lag and subjectivity of traditional manual verification, significantly improving the intelligent level of power grid frequency regulation resource allocation and market operation efficiency.

[0045] 2. The present invention realizes the real-time capture and local update of equipment commissioning and decommissioning events and changes in the topological connection relationships between devices through a hash-based difference comparison algorithm and a graph theory node contraction algorithm. Combined with the dynamic construction of the busbar model and the electrical island model, it can quickly generate a standardized safety verification scenario library, breaking through the limitations of traditional static modeling, significantly improving the timeliness and accuracy of grid operation status perception, providing a high-fidelity data foundation for the safety verification of frequency regulation market clearing results, and effectively reducing the risk of misjudgment due to model lag.

[0046] 3. By constructing typical scenarios and customized scenarios, and combining N-1 fault scanning with base-state flow calculation, the present invention can quantitatively evaluate the flow sensitivity coefficient of the generator set output to the target transmission section, realizing the transition from single fault verification to multi-dimensional safety constraints. It can not only cover conventional operating conditions, but also perform customized analysis for specific risk scenarios, significantly improving the comprehensiveness and pertinence of safety verification.

[0047] 4. Based on the over-limit impact factor, the present invention dynamically removes high-risk units and adjusts the clearing results according to the quotation ranking. Under the premise of ensuring the safety constraints of the power grid, it realizes the maximization of the economic benefits of the frequency regulation auxiliary service market, breaks through the traditional separation model of safety verification and market clearing, and establishes a safety-economy linkage decision-making mechanism based on the sensitivity coefficient. It avoids the waste of resources caused by excessive conservatism and prevents the neglect of safety risks in the pursuit of economy, significantly improving the operation efficiency of the power grid and the market operation benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 This is a schematic diagram of a frequency modulation auxiliary service market security verification and auxiliary decision-making method provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0049] The technical solution of the present invention is described in detail below through the accompanying drawings and specific embodiments. It should be understood that the embodiments of the present invention and the specific features in the embodiments are detailed descriptions of the technical solution of the present invention, rather than limitations on the technical solution of the present invention. In the absence of conflict, the embodiments of the present invention and the technical features in the embodiments can be combined with each other.

[0050] Example 1

[0051] like Figure 1 As shown, this embodiment introduces a frequency modulation auxiliary service market security verification and auxiliary decision-making method, including:

[0052] Step 1: Collect grid model data in real time, including power plant basic data, unit operation data, network topology data, and frequency regulation market clearing data.

[0053] The present invention realizes the spatiotemporal synchronization of power grid operation status and market transaction data by real-time collection of power plant basic data, unit operation status, network topology and frequency regulation market clearing results, providing high-timeliness basic data support for safety verification, effectively avoiding verification deviations caused by data lag, and at the same time, multi-source data fusion provides full-dimensional input for subsequent dynamic analysis.

[0054] Step 2: Perform unified verification and dynamic topology analysis on the power grid model data to build a standardized frequency regulation market safety verification scenario library.

[0055] The present invention verifies the quality of multi-source data based on unified verification rules, and automatically corrects the power grid model such as switch status and line switching changes in combination with dynamic topology analysis. It builds a standardized frequency regulation market safety verification scenario library to accurately reflect the real-time structural characteristics of the power grid, eliminates the risk of inconsistency between traditional static models and actual operating conditions, and significantly improves the engineering credibility of verification results.

[0056] Step 3: Establish a verification plan database based on the frequency regulation market clearing results, power grid planning data and load forecast data.

[0057] In the present invention, the power grid planning data includes equipment maintenance plan and regional tie line plan; the load forecast data includes bus load forecast results.

[0058] This paper establishes a spatiotemporally coupled verification plan database by integrating frequency regulation market clearing results, equipment maintenance plans, regional tie-line power exchange constraints, and bus-level load forecast data. This database enables a bidirectional mapping between market transaction results and grid operation plans, providing an analytical framework for safety verification with clear boundary conditions and strong physical-market correlation, supporting the expansion of verification from single-grid safety to market-physical collaborative optimization.

[0059] Step 4: Based on the standardized safety verification scenario library and the verification plan database, the frequency regulation market clearing results are subjected to flow calculation and over-limit analysis through N-1 fault scanning and base state flow calculation to obtain the flow sensitivity coefficient of each generator output to the target transmission section.

[0060] The present invention combines N-1 fault set scanning with base-state power flow calculation to quantitatively evaluate the impact of frequency regulation market clearing results on power grid sections, and reveals the linear relationship between unit output adjustment and section power flow changes through the power flow sensitivity coefficient. It can quickly locate key vulnerable sections and provide gradient direction guidance for subsequent optimization, realizing a technological leap from passive verification to active optimization.

[0061] Step 5: Calculate the over-limit impact factor of each generator set based on the power flow sensitivity coefficient of each generator set to the target transmission section, and generate the optimal adjustment plan for the frequency regulation market clearing result based on the maximization of the economic benefits of the frequency regulation auxiliary service market.

[0062] The present invention constructs a frequency regulation resource adjustment priority sequence based on the over-limit impact factor. Under the premise of ensuring the safety constraints of the section, it generates an optimization plan for clearing results with the goal of maximizing economic benefits. It achieves precise intervention through sensitivity weighting, avoids the impact of traditional extensive adjustments on market efficiency, and establishes a safety-economy dual-objective optimization model at the same time, promoting the paradigm upgrade of the frequency regulation market from "feasible solution search" to "optimal solution solving".

[0063] Example 2

[0064] Based on the same inventive concept as Example 1, this example introduces the implementation steps of a frequency modulation auxiliary service market security verification and auxiliary decision-making method, including:

[0065] Step 1: Collect grid model data in real time.

[0066] In this embodiment, the power grid model data includes power plant basic data, unit operation data, network topology data and frequency regulation market clearing data.

[0067] In this embodiment, the basic data of the power plant includes the equipment parameters of the generator set; the unit operation data includes the generator set output plan and the winning bid required capacity; the network topology data includes the electrical connection relationship between the power grid equipment and the busbar electrical connection relationship; the frequency regulation market clearing data includes the unit frequency regulation capacity quotation and the current frequency regulation market clearing result.

[0068] Step 2: Perform unified verification and dynamic topology analysis on the power grid model data to build a standardized frequency regulation market safety verification scenario library.

[0069] In this embodiment, unified verification and dynamic topology analysis are performed on the power grid model data to build a standardized frequency regulation market security verification scenario library, including:

[0070] Step 2.1: Perform data integrity check and rationality verification on the power grid model data to obtain a standardized power grid model.

[0071] Step 2.2: Use the incremental model import method to build a busbar model and an electrical island model based on the standardized power grid model to form a standardized frequency regulation market safety verification scenario library.

[0072] Step 2.2.1: Based on the standardized power grid model, capture the equipment commissioning and decommissioning events and the topology connection relationship change signals between each device in real time, and use the hash-based difference comparison algorithm based on the electrical connection relationship between the power grid devices to generate local update instructions including adding and deleting busbar nodes and modifying the electrical connection relationship between the power grid devices.

[0073] Step 2.2.2: Based on the node contraction algorithm in graph theory, reconstruct the electrical connection relationship between power grid devices through local update instructions and identify and number the busbars to build a busbar model.

[0074] In this embodiment, the standardized safety verification scenario library includes typical scenarios and custom scenarios.

[0075] In this embodiment, the typical scenarios include a bid-winning unit output adjustment scenario, a positively correlated unit adjustment scenario, and a negatively correlated unit adjustment scenario.

[0076] In this embodiment, the output adjustment scenario of the winning unit is used to simulate all the generator sets that participate in the frequency regulation auxiliary service market and win the bid while maintaining the system power balance constraint, and adjust the output of all the winning generator sets to the preset planned value ± the winning capacity.

[0077] In this embodiment, the positively correlated unit adjustment scenario is used to simulate all generator sets that are positively correlated with the target transmission section power flow while satisfying the upper and lower limit constraints of the unit output, and adjust the output of all generator sets that are positively correlated with the target transmission section power flow to the preset planned value + the winning bid capacity.

[0078] In this embodiment, the negatively correlated unit adjustment scenario is used to simulate all generator sets that are negatively correlated with the target transmission section power flow while satisfying the upper and lower limit constraints of the unit output, and adjust the output of all generator sets that are negatively correlated with the target transmission section power flow to the preset planned value + the winning bid capacity.

[0079] In this embodiment, the custom scenarios include a partition frequency regulation resource ratio adjustment scenario and a unit winning capacity call ratio safety verification scenario.

[0080] In this embodiment, the partitioned frequency modulation resource ratio adjustment scenario is used to customize the frequency modulation ratio scenarios of the winning units in different frequency modulation resource zones.

[0081] In this embodiment, the unit winning capacity call ratio safety check scenario is used to customize the winning capacity call ratio of any winning unit and perform a safety check.

[0082] Step 2.2.3: Divide the electrical island area according to the busbar electrical connection relationship and build an electrical island model.

[0083] Step 2.2.4: Integrate the busbar model and electrical island model to form a standardized frequency regulation market safety verification scenario library.

[0084] Step 3: Establish a verification plan database based on the frequency regulation market clearing results, power grid planning data and load forecast data.

[0085] In this embodiment, the power grid planning data includes equipment maintenance plans and regional tie line plans; the load forecasting data includes busbar load forecasting results.

[0086] Step 4: Based on the standardized safety verification scenario library and the verification plan database, perform power flow calculation and over-limit analysis on the frequency regulation market clearing results through N-1 fault scanning and base state power flow calculation to obtain the power flow sensitivity coefficient of each generator output to the target transmission section.

[0087] In this embodiment, the method for obtaining the tidal current sensitivity coefficient includes:

[0088] Step 4.1: By simulating the fault conditions of each generator set, the grid operation status including the electrical connection relationship between grid equipment, generator set output plan, bus load forecast data and generator set equipment parameters is obtained.

[0089] Step 4.2: Based on the current operating status of the power grid, through base state power flow calculation and N-1 fault scanning, calculate the power flow change of the target transmission section when the output of each generator set changes by one unit, and obtain the power flow sensitivity coefficient of each generator set to the target transmission section.

[0090] Step 5: Calculate the over-limit impact factor of each generator set based on the power flow sensitivity coefficient of each generator set to the target transmission section, and generate the optimal adjustment plan for the frequency regulation market clearing result based on the maximization of the economic benefits of the frequency regulation ancillary service market.

[0091] In this embodiment, the threshold-crossing impact factor is expressed as:

[0092] ;

[0093] Where, For the Units for the The over-limit impact factor of each target transmission section, For the Units for the The power flow sensitivity coefficient of the target transmission section, For the The winning bid capacity of each unit, No. The sorting price of each unit, For the The weight of each target transmission section.

[0094] In this embodiment, the optimal adjustment plan for frequency regulation market clearing based on maximizing the economic benefits of the frequency regulation ancillary service market includes:

[0095] Step 5.1: Screen the generators whose over-limit impact factors exceed the preset over-limit threshold and remove them from the current frequency regulation market clearing results.

[0096] Step 5.2: Eliminate the remaining generators in descending order of their frequency regulation capacity bids until the remaining winning capacity meets the winning capacity requirement, and output the current frequency regulation market clearing result.

[0097] Example 3

[0098] Based on the same inventive concept as other embodiments, this embodiment introduces a computer device, including:

[0099] a memory for storing instructions;

[0100] The processor is used to execute the instructions so that the device performs the operations of the frequency modulation auxiliary service market security verification and auxiliary decision-making method described in the above-mentioned embodiment 1 or 2.

[0101] Example 4

[0102] Based on the same inventive concept as other embodiments, this embodiment introduces a computer program product, including computer instructions. When the computer instructions are executed by a processor, the steps of the method in the above-mentioned embodiment 1 or 2 are implemented.

[0103] In summary, the present invention achieves the coordinated optimization of safety constraints and economic efficiency of frequency regulation market clearing results by constructing a standardized frequency regulation market safety verification scenario library and verification plan database, combined with N-1 fault scanning and power flow sensitivity analysis technology. This method can accurately quantify the over-limit impact of generator output on key sections of the power grid. On the premise of ensuring the safe and stable operation of the power grid, it dynamically generates the optimal adjustment plan that takes into account the maximization of the economic benefits of the frequency regulation auxiliary service market. It effectively avoids the lag and subjectivity of traditional manual verification, and significantly improves the intelligence level of power grid frequency regulation resource allocation and market operation efficiency.

[0104] The present invention realizes the real-time capture and local update of equipment commissioning and decommissioning events and changes in the topological connection relationships between devices through a hash-based difference comparison algorithm and a graph theory node contraction algorithm. Combined with the dynamic construction of the busbar model and the electrical island model, it can quickly generate a standardized safety verification scenario library, breaking through the limitations of traditional static modeling, significantly improving the timeliness and accuracy of the perception of the power grid operation status, providing a high-fidelity data foundation for the safety verification of the frequency regulation market clearing results, and effectively reducing the risk of misjudgment due to model lag.

[0105] By constructing typical scenarios and customized scenarios, and combining N-1 fault scanning with base-state flow calculation, the present invention can quantitatively evaluate the flow sensitivity coefficient of the generator set output to the target transmission section, realizing the transition from single fault verification to multi-dimensional safety constraints. It can not only cover conventional operating conditions, but also perform customized analysis for specific risk scenarios, significantly improving the comprehensiveness and pertinence of safety verification.

[0106] Based on the over-limit impact factor, the present invention dynamically removes high-risk units and adjusts the clearing results according to the quotation ranking. Under the premise of ensuring the safety constraints of the power grid, it realizes the maximization of the economic benefits of the frequency regulation auxiliary service market, breaks through the traditional separation mode of safety verification and market clearing, and establishes a safety-economy linkage decision-making mechanism based on the sensitivity coefficient. It avoids the waste of resources caused by excessive conservatism and prevents the neglect of safety risks in the pursuit of economy, significantly improving the operation efficiency of the power grid and the market operation benefits.

[0107] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0108] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts 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, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0109] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0110] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0111] The embodiments of the present invention are described above in conjunction with the accompanying drawings, but the present invention is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present invention, ordinary technicians in this field can also make many forms without departing from the scope of protection of the purpose of the present invention and the claims, which are all protected by the present invention.

Claims

1. A frequency modulation auxiliary service market security verification and auxiliary decision-making method, characterized by: include: Real-time collection of power grid model data, including power plant basic data, unit operation data, network topology data, and frequency regulation market clearing data; Perform unified verification and dynamic topology analysis on the power grid model data to build a standardized frequency regulation market safety verification scenario library; A verification plan database is established based on the frequency regulation market clearing results, power grid planning data and load forecast data, including: The power grid planning data includes equipment maintenance plan and regional interconnection line plan; The load forecast data includes bus load forecast results; Based on the standardized safety verification scenario library and the verification plan database, the frequency regulation market clearing results are subjected to power flow calculation and over-limit analysis through N-1 fault scanning and base state power flow calculation to obtain the power flow sensitivity coefficient of each generator output to the target transmission section; The over-limit impact factor of each generator set is calculated based on the power flow sensitivity coefficient of each generator set to the target transmission section, and the optimal adjustment plan for the frequency regulation market clearing result is generated based on the maximization of the economic benefits of the frequency regulation auxiliary service market.

2. The frequency modulation auxiliary service market security verification and auxiliary decision-making method according to claim 1 is characterized in that: The basic data of the power plant includes parameters of the generator set equipment; The unit operation data includes the generator unit output plan and the bid-winning required capacity; The network topology data includes the electrical connection relationship between the power grid devices and the busbar electrical connection relationship; The frequency regulation market clearing data includes the unit frequency regulation capacity quotation and the current frequency regulation market clearing results.

3. The frequency modulation auxiliary service market security verification and auxiliary decision-making method according to claim 2 is characterized in that: Perform unified verification and dynamic topology analysis on the grid model data to build a standardized frequency regulation market safety verification scenario library, including: The grid model data is subjected to data integrity check and rationality verification to obtain a standardized grid model; a busbar model and an electrical island model are constructed based on the standardized grid model through an incremental model import method to form a standardized frequency regulation market safety verification scenario library.

4. The frequency modulation auxiliary service market security verification and auxiliary decision-making method according to claim 3 is characterized in that: Through the incremental model import method, busbar models and electrical island models are constructed based on the standardized power grid model, forming a standardized frequency regulation market safety verification scenario library, including: Based on the standardized power grid model, it captures equipment commissioning and decommissioning events and topology connection relationship change signals between devices in real time, and uses a hash-based difference comparison algorithm based on the electrical connection relationship between power grid devices to generate local update instructions, including adding and deleting busbar nodes and modifying the electrical connection relationship between power grid devices; Based on the node contraction algorithm in graph theory, the electrical connection relationship between power grid devices is reconstructed through local update instructions, and the busbars are identified and numbered to build a busbar model; Divide the electrical island area according to the busbar electrical connection relationship to build an electrical island model; The integrated busbar model and electrical island model form a standardized frequency regulation market safety verification scenario library.

5. The frequency modulation auxiliary service market security verification and auxiliary decision-making method according to claim 4 is characterized in that: The standardized safety verification scenario library includes typical scenarios and custom scenarios; The typical scenarios include output adjustment scenarios of winning units, positively correlated unit adjustment scenarios, and negatively correlated unit adjustment scenarios; The output adjustment scenario of the winning unit is used to simulate all the generator sets that have won the bid in the frequency regulation auxiliary service market under the constraint of maintaining system power balance, and adjust the output of all the winning generator sets to the preset planned value ± the winning capacity; The positively correlated unit adjustment scenario is used to simulate all generator sets that are positively correlated with the power flow impact of the target transmission section, while satisfying the upper and lower limit constraints of the generator set output, and adjust the output of all generator sets that are positively correlated with the power flow impact of the target transmission section to the preset planned value + the winning bid capacity; The negatively correlated unit adjustment scenario is used to simulate all generator sets that are negatively correlated with the power flow of the target transmission section, while satisfying the upper and lower limit constraints of the generator set output, and adjust the output of all generator sets that are negatively correlated with the power flow of the target transmission section to the preset planned value + the winning bid capacity; The custom scenarios include the partition frequency regulation resource ratio adjustment scenario and the unit bid capacity call ratio safety verification scenario; The partition frequency regulation resource ratio adjustment scenario is used to customize the output ratio scenario of the winning units in different frequency regulation resource zones; The unit's winning capacity call ratio safety check scenario is used to customize the winning capacity call ratio of any winning unit and perform a safety check.

6. The frequency modulation auxiliary service market security verification and auxiliary decision-making method according to claim 1 is characterized in that: The method for obtaining the tidal current sensitivity coefficient includes: By simulating the fault conditions of each generator set, the grid operation status including the electrical connection relationship between grid equipment, generator set output plan, bus load forecast data and generator set equipment parameters is obtained; Based on the current operating status of the power grid, through base state power flow calculation and N-1 fault scanning, the power flow change of the target transmission section when the output of each generator set changes by one unit is calculated, and the power flow sensitivity coefficient of each generator set to the target transmission section is obtained.

7. The frequency modulation auxiliary service market security verification and auxiliary decision-making method according to claim 1 is characterized in that: The over-limit impact factor is expressed as: ； Where, For the Units for the The over-limit impact factor of the target transmission section, For the Units for the The power flow sensitivity coefficient of the target transmission section, For the The winning bid capacity of each unit, No. The sorting price of each unit, For the The weight of each target transmission section.

8. The frequency modulation auxiliary service market security verification and auxiliary decision-making method according to claim 1 is characterized in that: The optimal adjustment plan for frequency regulation market clearing based on maximizing the economic benefits of the frequency regulation ancillary service market includes: Screen out generators whose over-limit impact factors exceed the preset over-limit threshold and remove them from the current frequency regulation market clearing results; The remaining generating units are eliminated in descending order of their frequency regulation capacity quotations until the remaining winning capacity meets the winning capacity requirement, and the current frequency regulation market clearing result is output.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the frequency modulation auxiliary service market security verification and auxiliary decision-making method as described in any one of claims 1 to 8 is implemented.

10. A computer device, characterized in that: include: a memory for storing instructions; A processor is used to execute the instructions so that the device performs operations to implement the frequency modulation auxiliary service market security verification and auxiliary decision-making method as described in any one of claims 1 to 8.

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