A joint clearing method for energy storage participating in the electricity and frequency regulation auxiliary service market

Abstract

The present disclosure proposes a method for energy storage to participate in the joint clearing of the electric energy and frequency regulation auxiliary service market, including: obtaining system operation data and unit load data; constructing a model objective function and model constraints; constructing a joint clearing model for the electric energy and frequency regulation auxiliary service market based on the model objective function and model constraints; performing a capacity safety check on the joint clearing model for the electric energy and frequency regulation auxiliary service market, and adjusting the joint clearing model based on the check result to generate an adjusted joint clearing model; repeating the above steps until the check passes, and outputting the clearing result of the electric energy market and frequency regulation auxiliary service market. The joint clearing model incorporates frequency regulation capacity constraints and energy storage constraints to take into account the impact of the electric energy market output plan and frequency regulation auxiliary service actions on the energy storage state of charge, ensuring the effectiveness of the energy storage SOC execution. At the same time, through capacity safety check, it can prevent the impact on the stability of the power system and improve the feasibility of the output result.

Description

Technical Field

[0001] The present disclosure relates to the technical field of power systems, and in particular to a method for jointly clearing the market for electric energy and frequency regulation auxiliary services using energy storage. Background Art

[0002] In the context of my country's new power system development, new energy sources such as wind and solar power, along with electric vehicles, distributed energy resources, and demand response, are being connected to the grid on a large scale. Compared to traditional power systems, current technologies present increasing uncertainties on both the generation and demand sides, impacting power balances and complicating power system operations. For example, as net load volatility and uncertainty increase in frequency and magnitude, the burden on system frequency regulation increases. Frequently invoking frequency regulation capacity will lead to insufficient frequency regulation energy and increased costs, impacting the system's ability to meet safe operation standards. New energy storage technologies, represented by electrochemical energy storage, offer advantages such as short construction cycles, fast response times, and high regulation accuracy. In addition to shaving peak loads and filling valleys, energy storage can also provide a variety of ancillary services, including frequency regulation, backup, and ramping. Its functionality and value have been proven in relevant application fields internationally, making it an ideal means of regulating power systems. Against this backdrop, actively promoting the participation of flexible resources such as energy storage in the ancillary services market and enhancing the system's regulation capabilities are crucial for ensuring the development of my country's new power system. Summary of the Invention

[0003] The present disclosure aims to solve one of the technical problems in the related art at least to a certain extent.

[0004] To this end, one purpose of the present disclosure is to propose a joint clearing method for the electric energy and frequency regulation auxiliary service markets.

[0005] The second objective of the present disclosure is to propose a joint clearing device for the electric energy and frequency regulation auxiliary service markets.

[0006] A third objective of the present disclosure is to provide an electronic device.

[0007] A fourth object of the present disclosure is to provide a non-transitory computer-readable storage medium.

[0008] A fifth object of the present disclosure is to provide a computer program product.

[0009] To achieve the above-mentioned objectives, a first embodiment of the present disclosure proposes a method for joint clearing of an electric energy and frequency regulation ancillary service market, comprising: obtaining system operation data and unit load data of a target power grid, wherein the system operation data includes at least a frequency regulation mileage coefficient of a generator unit and a frequency regulation mileage coefficient of an energy storage trading unit; constructing a model objective function and model constraints of the target power grid based on the system operation data and the unit load data, wherein the model constraints include at least a frequency regulation capacity constraint and an energy storage constraint; constructing an electric energy and frequency regulation ancillary service market joint clearing model of the target power grid based on the model objective function and the model constraints; performing a capacity safety check on a clearing result of the electric energy and frequency regulation ancillary service market joint clearing model, and in response to the clearing result failing the capacity safety check, adjusting the electric energy and frequency regulation ancillary service market joint clearing model to generate an adjusted electric energy and frequency regulation ancillary service market joint clearing model; repeating the above-mentioned capacity safety check on the electric energy and frequency regulation ancillary service market joint clearing model and subsequent steps until the capacity safety check passes and outputting a target clearing result.

[0010] According to one embodiment of the present disclosure, the model objective function is: Wherein, h is the clearing result, N is the total number of generator sets, T is the total number of time periods, is the electric energy power of generator set i in period t, is the operating cost of generator set i in period t, ES is the total number of energy storage trading units, 、 are respectively the charging and discharging power of the energy storage trading unit in time period t, is the frequency modulation power of generator set i in period t, is the frequency regulation capacity quotation of generator set i, is the frequency regulation mileage quotation of generator set i, is the frequency regulation mileage coefficient of generator set i, is the opportunity cost quotation of frequency regulation of unit i, is the frequency modulation power of the energy storage trading unit in period t, The frequency regulation capacity quotation of the energy storage trading unit is The frequency regulation mileage quotation of the energy storage trading unit is is the frequency regulation mileage coefficient of the energy storage transaction unit, Quote the opportunity cost of frequency regulation for energy storage trading units.

[0011] According to one embodiment of the present disclosure, the capacity safety verification of the clearing result of the joint clearing model of the electric energy and frequency regulation ancillary service market includes: obtaining branch flow constraints, section flow constraints and frequency regulation capacity call transferability constraints; determining branch flow output data, disconnect flow output data and frequency regulation capacity call transferability data based on the clearing result; in response to the branch flow output data being within the branch flow constraint range, the disconnect flow output data being within the section flow constraint range, and the frequency regulation capacity call transferability data being within the frequency regulation capacity call transferability constraint range, determining that the clearing result passes the capacity safety verification.

[0012] According to one embodiment of the present disclosure, constructing the frequency regulation capacity call transferability constraint includes: for any branch of the target power grid, constructing the branch flow correction constraint and the section flow correction constraint after the frequency regulation capacity call based on the winning bids of the units and energy storage power stations; constructing the frequency regulation capacity call transferability constraint based on the branch flow correction constraint and the section flow correction constraint.

[0013] According to one embodiment of the present disclosure, constructing the frequency regulation capacity constraint includes: obtaining frequency regulation capacity data, frequency regulation declared capacity, and proportion of successful bid capacity of the target power grid; constructing a minimum frequency regulation capacity constraint based on the frequency regulation capacity data, constructing a frequency regulation declared capacity upper limit constraint based on the frequency regulation declared capacity, and constructing an energy storage frequency regulation successful bid capacity upper limit constraint based on the successful bid capacity proportion; constructing the frequency regulation capacity constraint based on the minimum frequency regulation capacity constraint, the frequency regulation declared capacity upper limit constraint, and the energy storage frequency regulation successful bid capacity upper limit constraint.

[0014] According to one embodiment of the present disclosure, constructing the energy storage constraint includes: obtaining energy storage charging and discharging power data, electric energy charging and discharging and frequency modulation action data, energy storage operation day start data, energy storage operation day end data, and energy storage charging and discharging cycle number data of the target power grid; constructing the energy storage charging and discharging power constraint based on the energy storage charging and discharging power data of the target power grid, and constructing the energy storage state of charge and charging and discharging constraint based on the electric energy charging and discharging and frequency modulation action data, and constructing the energy storage operation day start and end state of charge constraints based on the energy storage operation day start data and the energy storage operation day end data, and constructing the energy storage charging and discharging cycle number constraint based on the energy storage charging and discharging cycle number data; constructing the energy storage constraint based on the energy storage charging and discharging power constraint, the energy storage state of charge and charge and discharging constraint, the energy storage operation day start and end state of charge constraints, and the energy storage charging and discharging cycle number constraint.

[0015] According to one embodiment of the present disclosure, the energy storage state of charge and charge and discharge constraints are constructed based on the energy storage energy charge, discharge and frequency modulation action data, including: constructing an upward frequency modulation multiplier factor and a downward frequency modulation multiplier factor of the energy storage trading unit in each time period; calculating the state of charge value based on the upward frequency modulation multiplier factor and the downward frequency modulation multiplier factor; and constructing the energy storage state of charge and charge and discharge constraints based on the state of charge value.

[0016] To achieve the above-mentioned purpose, the second embodiment of the present disclosure proposes a joint clearing device for the electric energy and frequency regulation auxiliary service market, including: an acquisition module for acquiring system operation data and unit load data of the target power grid, wherein the system operation data at least includes the frequency regulation mileage coefficient of the generator set and the frequency regulation mileage coefficient of the energy storage transaction unit; a generation module for constructing a model objective function and model constraints of the target power grid based on the system operation data and the unit load data, wherein the model constraints at least include frequency regulation capacity constraints and energy storage constraints; an establishment module for constructing a model objective function and model constraints based on the model objective function and the model constraints A bundle is used to construct a joint clearing model of the electric energy and frequency regulation ancillary service market of the target power grid; a verification module is used to perform a capacity safety verification on the clearing result of the joint clearing model of the electric energy and frequency regulation ancillary service market, and in response to the clearing result failing the capacity safety verification, adjust the joint clearing model of the electric energy and frequency regulation ancillary service market to generate an adjusted joint clearing model of the electric energy and frequency regulation ancillary service market; an output module is used to repeat the above-mentioned capacity safety verification of the joint clearing model of the electric energy and frequency regulation ancillary service market and subsequent steps until the capacity safety verification passes and output the target clearing result.

[0017] To achieve the above-mentioned purpose, the third aspect embodiment of the present disclosure proposes an electronic device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to implement the joint clearing method of the electric energy and frequency regulation auxiliary service market as described in the first aspect embodiment of the present disclosure.

[0018] To achieve the above-mentioned purpose, the fourth embodiment of the present disclosure proposes a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to implement the joint clearing method of the electric energy and frequency regulation auxiliary service market as described in the first embodiment of the present disclosure.

[0019] To achieve the above-mentioned purpose, the fifth embodiment of the present disclosure proposes a computer program product, including a computer program, which, when executed by a processor, is used to implement the joint clearing method of the electric energy and frequency regulation auxiliary service market as described in the first embodiment of the present disclosure.

[0020] Therefore, the target electric energy and frequency regulation auxiliary service market joint clearing model generated in the embodiment of the present disclosure is compared with the electric energy and frequency regulation auxiliary service market joint clearing model in the current technology. The addition of frequency regulation capacity constraints and energy storage constraints can take into account the impact of the electric energy market output plan and frequency regulation auxiliary service actions on the energy storage SOC, ensure the effectiveness of the energy storage SOC execution, and enable the energy storage to have sufficient SOC to provide corresponding services during the bidding period of the electric energy market and the auxiliary service market. At the same time, through capacity safety verification, it can prevent the impact on the stability of the power system and improve the feasibility of the output results. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 is a schematic diagram of a joint clearing method for electric energy and frequency regulation ancillary service markets according to one embodiment of the present disclosure;

[0022] Figure 2 is a schematic diagram of another method for jointly clearing the electric energy and frequency regulation ancillary service markets according to one embodiment of the present disclosure;

[0023] Figure 3 is a schematic diagram of another method for jointly clearing the electric energy and frequency regulation ancillary service markets according to one embodiment of the present disclosure;

[0024] Figure 4 is a schematic diagram of another method for jointly clearing the electric energy and frequency regulation ancillary service markets according to one embodiment of the present disclosure;

[0025] Figure 5 This is a schematic diagram of a joint clearing device for electric energy and frequency regulation auxiliary service markets according to one embodiment of the present disclosure;

[0026] Figure 6 is a schematic diagram of an electronic device according to one embodiment of the present disclosure. DETAILED DESCRIPTION

[0027] The following describes in detail embodiments of the present disclosure, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present disclosure, and should not be construed as limiting the present disclosure.

[0028] The acquisition, storage, use, and processing of data in this disclosed technical solution comply with the relevant provisions of relevant laws and regulations.

[0029] It should be noted that in the embodiments of this application, certain software, components, models and other existing solutions in the industry may be mentioned. They should be considered as exemplary. Their purpose is only to illustrate the feasibility of implementing the technical solution of this application, but it does not mean that the applicant has or will necessarily use the solution.

[0030] Figure 1 Schematic diagram of a method for jointly clearing the electric energy and frequency regulation auxiliary service markets according to an embodiment of the present disclosure. Figure 1 As shown in FIG, the method for jointly clearing the electricity energy and frequency regulation ancillary service market includes the following steps:

[0031] S101, obtaining system operation data and unit load data of the target power grid, wherein the system operation data at least includes the frequency regulation mileage coefficient of the generator set and the frequency regulation mileage coefficient of the energy storage trading unit.

[0032] The method for joint clearing of the electric energy and frequency regulation auxiliary service market in the embodiment of the present application can be applied to the scenario where energy storage participates in auxiliary services in the power market. The executor of the joint clearing of the electric energy and frequency regulation auxiliary service market in the embodiment of the present application can be the joint clearing device for the electric energy and frequency regulation auxiliary service market in the embodiment of the present application, and the joint clearing device for the electric energy and frequency regulation auxiliary service market can be set on an electronic device.

[0033] It's important to note that the frequency regulation mileage factor is a key parameter used in power systems to evaluate the Automatic Generation Control (AGC) services provided by generators or energy storage systems, particularly frequency regulation services. It reflects the frequency regulation mileage a device can provide per unit capacity, specifically the total amount of regulation (accumulated power change) a device can perform to maintain grid frequency stability over a given period of time.

[0034] In the disclosed embodiments, the frequency regulation mileage coefficient for a motor group can be calculated based on historical mileage data, corresponding to the frequency regulation mileage per unit capacity of the group. The frequency regulation mileage coefficient for an energy storage trading unit can also be calculated based on historical mileage data, corresponding to the frequency regulation mileage per unit capacity of the energy storage trading unit. Quotations based on the mileage coefficient can optimize the overall frequency regulation mileage costs of the system and ensure the safe and reasonable allocation of frequency regulation mileage.

[0035] In the disclosed embodiments, the target power grid's system operation data may include multiple types in addition to the frequency regulation mileage coefficients of the generator sets and the frequency regulation mileage coefficients of the energy storage trading units. These data may be determined based on actual design requirements and are not limited herein. For example, the target power grid's system operation data may include power generation data, load data, transmission network data, market transaction data, and environmental monitoring data.

[0036] The target power grid's unit load data can include a variety of data, which can be set based on actual design requirements and are not limited here. For example, unit load data may include basic generator unit information, real-time operating parameters, scheduling and planning data, performance indicators, and maintenance and status information.

[0037] In the embodiment of the present disclosure, there are many methods for obtaining the system operation data and unit load data of the target power grid, which are not limited here.

[0038] Alternatively, it can be obtained through a power grid dispatching center or an operating organization.

[0039] Optionally, it can also be obtained through the electricity market trading platform.

[0040] Optionally, it can also be obtained through a third-party data service provider.

[0041] Optionally, it can also be obtained through numerical simulation and emulation.

[0042] S102: constructing a model objective function and model constraints of a target power grid based on system operation data and unit load data, wherein the model constraints include at least frequency regulation capacity constraints and energy storage constraints.

[0043] In the embodiment of the present disclosure, the model objective function can be set according to actual design needs and is not limited here.

[0044] In one possible implementation, while satisfying power balance and grid security constraints, the goal is to minimize the total operating cost of the generator set and the total frequency regulation cost. The total operating cost includes the generator set's operating cost and the charging and discharging costs of the energy storage, while the total frequency regulation cost includes the capacity cost, mileage cost, and opportunity cost of the frequency regulation resources. By summing the data for each time period and generator set, the next day's generator set and energy storage output, frequency regulation capacity, and other data are determined.

[0045] The objective function of the joint clearing model of the day-ahead electricity energy and frequency regulation ancillary service market with energy storage participation is as follows:

[0046]

[0047] Where h is the clearing result, N is the total number of generators; T is the total number of time periods considered, where one time period is 15 minutes on the D day, and 96 time periods are considered; represents the electrical energy power of generator set i in time period t; represents the operating cost of generator set i in period t; ES represents the total number of energy storage trading units; 、 They represent the charging and discharging power of the energy storage es in time period t respectively; is the frequency regulation power of generator set i in period t, is the frequency regulation capacity quotation of generator set i, is the frequency regulation mileage quotation of generator set i, is the frequency regulation mileage coefficient of generator set i (the frequency regulation mileage corresponding to the unit capacity of generator set i is calculated based on historical mileage data), Quote the opportunity cost of frequency regulation for unit i; is the frequency modulation power of energy storage es in time period t, Quote the frequency regulation capacity of energy storage es, Quote for frequency regulation mileage of energy storage es, is the frequency regulation mileage coefficient of the energy storage ES (the frequency regulation mileage corresponding to the unit capacity of the energy storage ES is calculated based on historical mileage data), The frequency regulation opportunity cost quotation of the energy storage es is shown in FIG. In the embodiment of the present disclosure, the frequency regulation mileage coefficient of the generator set and the energy storage is used to quote the frequency regulation mileage.

[0048] The joint clearing model of the electric energy and frequency regulation ancillary service market in the embodiment of the present disclosure may include a variety of model constraints, which are not limited here. Compared with the joint clearing model of the electric energy and frequency regulation ancillary service market in the current technology, the joint clearing model of the electric energy and frequency regulation ancillary service market in the present disclosure adds frequency regulation capacity constraints and energy storage constraints. In this way, compared with the joint clearing model of the electric energy and frequency regulation ancillary service market in the current technology, the prediction model in the present disclosure can take into account the impact of the electric energy market output plan and the frequency regulation ancillary service action on the state of charge (SOC) of the energy storage, ensure the effectiveness of the execution of the energy storage SOC, and enable the energy storage to have sufficient SOC to provide corresponding services during the bidding period of the electric energy market and the ancillary service market.

[0049] S103: Constructing a joint clearing model for the electric energy and frequency regulation auxiliary service markets of the target power grid based on the model objective function and model constraints.

[0050] S104, performing a capacity safety check on the clearing result of the joint clearing model of the electric energy and frequency regulation ancillary service market. In response to the clearing result failing the capacity safety check, adjusting the joint clearing model of the electric energy and frequency regulation ancillary service market to generate an adjusted joint clearing model of the electric energy and frequency regulation ancillary service market.

[0051] In the disclosed embodiments, the frequency regulation market clearing results must meet requirements such as power system stability constraints to avoid power flow congestion on system transmission branches or sections. Therefore, based on the combined clearing of energy and frequency regulation ancillary services, it is necessary to conduct a capacity safety check on the combined clearing results to determine whether the clearing results output by the combined clearing model for energy and frequency regulation ancillary services will cause power flow violations on lines and sections.

[0052] In the disclosed embodiments, capacity safety verification can be performed based on verification conditions. These verification conditions are pre-defined and can be modified based on actual grid requirements or power system parameters. For example, verification conditions can be set or modified based on branch flow constraints or critical section constraints.

[0053] If the joint clearing model for the energy and frequency regulation ancillary services market fails the capacity safety check, it can be assumed that the output of the joint clearing model will affect the stability of the power system and there is a risk of power flow congestion on the system's transmission branches or sections. Therefore, the joint clearing model needs to be adjusted to ensure the feasibility of the output of the joint clearing model.

[0054] S105, repeat the above-mentioned capacity safety verification of the joint clearing model of the electric energy and frequency regulation auxiliary service market and its subsequent steps until the capacity safety verification passes and the target clearing result is output.

[0055] It should be noted that the target energy and frequency regulation ancillary service market clearing model in the disclosed embodiments can output a variety of data, without any limitation herein, and the model can be modified based on actual design needs. For example, the target energy and frequency regulation ancillary service market clearing model can output clearing bids, etc.

[0056] In an embodiment of the present disclosure, system operation data and unit load data of a target power grid are first obtained, and then a model objective function and model constraints of the target power grid are constructed based on the system operation data and the unit load data, wherein the model constraints include at least a frequency regulation capacity constraint and an energy storage constraint. Then, an electric energy and frequency regulation auxiliary service market joint clearing model of the target power grid is constructed based on the model objective function and the model constraints. Then, a capacity safety check is performed on the electric energy and frequency regulation auxiliary service market joint clearing model. In response to the electric energy and frequency regulation auxiliary service market joint clearing model failing to pass the capacity safety check, the electric energy and frequency regulation auxiliary service market joint clearing model is adjusted to generate an adjusted electric energy and frequency regulation auxiliary service market joint clearing model. Finally, the capacity safety check of the electric energy and frequency regulation auxiliary service market joint clearing model and subsequent steps are repeated until the capacity safety check passes, and the target electric energy and frequency regulation auxiliary service market joint clearing model is output. Therefore, the target electric energy and frequency regulation auxiliary service market joint clearing model generated in the embodiment of the present disclosure is compared with the electric energy and frequency regulation auxiliary service market joint clearing model in the current technology. The addition of frequency regulation capacity constraints and energy storage constraints can take into account the impact of the electric energy market output plan and frequency regulation auxiliary service actions on the energy storage SOC, ensure the effectiveness of the energy storage SOC execution, and enable the energy storage to have sufficient SOC to provide corresponding services during the bidding period of the electric energy market and the auxiliary service market. At the same time, through capacity safety verification, it can prevent the impact on the stability of the power system and improve the feasibility of the output results.

[0057] The model constraints in the above embodiment may include multiple constraints in addition to frequency regulation capacity constraints and energy storage constraints, which are not limited here. For example, multiple or all of the constraints (1) to (9) may be included:

[0058] (1) System load balance constraint. For each time period t, the load balance constraint is described as:

[0059]

[0060] Where, represents the planned power of tie line j in time period t (input is positive, output is negative), NT represents the total number of tie lines, represents the system load during time period t.

[0061] (2) System positive spare capacity constraint. It is necessary to ensure that the total daily startup capacity meets the system's minimum spare capacity. This constraint can be described as:

[0062]

[0063] Where, is the start and stop status of unit i in period t, is the maximum electrical energy output of unit i in period t, is the system positive spare capacity requirement for period t.

[0064] (3) System negative reserve capacity constraint. The system negative reserve capacity constraint can be described as:

[0065]

[0066] Where, is the minimum electric energy output of unit i in time period t; is the system negative spare capacity requirement for period t.

[0067] (4) System spinning reserve constraints. The sum of the upward and downward adjustment capabilities of the unit output in each period must meet the upward and downward adjustment spinning reserve requirements of actual operation.

[0068]

[0069]

[0070] Where, is the maximum upward climbing rate of unit i, and is the maximum downward climbing rate of unit i; 、 Adjust the spinning reserve requirement upward or downward for period t respectively.

[0071] (5) Upper and lower limits of unit output. The unit output should be within its maximum / minimum output range. The constraints can be described as:

[0072]

[0073] Where, 、 They represent the maximum and minimum technical output of unit i in time period t respectively.

[0074] (6) Unit climbing constraint. When the unit is climbing up or down, it should meet the climbing rate requirement. The constraint can be described as:

[0075]

[0076]

[0077] Where, is the maximum ramp rate of unit i, is the maximum ramp-down rate of unit i.

[0078] (7) Minimum continuous start / stop time constraint of the unit. Due to the physical properties of the thermal power unit and the actual operation requirements, the thermal power unit is required to meet the minimum continuous start / stop time. This constraint can be described as:

[0079]

[0080]

[0081] Where, 、 The minimum continuous operating time and minimum continuous downtime of the unit; 、 The continuous start-up time and continuous shutdown time of unit i in period t can be expressed as the state variable To express:

[0082] ,

[0083] (8) Constraints on the maximum number of starts and stops of the unit. First, define the switching variables for start and stop. Define Indicates whether unit i switches to the shutdown state in time period t, satisfying the following conditions:

[0084]

[0085] (9) Output constraints of new energy stations. This constraint is described as follows:

[0086]

[0087] Where E is the set of new energy stations, is the predicted output of new energy station i in time period t. That is, the day-ahead market output of the new energy station should be less than the predicted output of the new energy station.

[0088] In the above embodiment, the clearing results of the joint clearing model of the electric energy and frequency regulation auxiliary service market are checked for capacity safety, and the clearing results can also be checked by Figure 2 Explaining further, the method includes:

[0089] S201, obtaining branch power flow constraints, section power flow constraints, and frequency regulation capacity call transferability constraints.

[0090] In the embodiment of the present disclosure, to construct a branch flow constraint, the branch flow transmission limit value, generator output power transfer distribution factor, generator output power transfer distribution factor, generator output power transfer distribution factor, number of nodes, generator output power transfer distribution factor, bus load value and positive and negative flow relaxation variables of any branch of the target power grid can be obtained. Then, based on the flow transmission limit value, generator output power transfer distribution factor, generator output power transfer distribution factor, generator output power transfer distribution factor, number of nodes, generator output power transfer distribution factor, bus load value and positive and negative flow relaxation variables, the branch flow constraint based on the winning frequency regulation capacity of the unit and energy storage power station is constructed.

[0091] In one possible implementation, consider the power flow constraint of the main branch, which can be described as:

[0092]

[0093] in, 、 are the power flow transmission limits of branch l respectively; is the generator output power transfer distribution factor of the node where unit i is located to branch l; is the generator output power transfer distribution factor of the node where tie line j is located to branch l; represents the power transfer distribution factor of the generator output of line l at the node where the independent energy storage es is located; K is the number of nodes in the system; is the generator output power transfer distribution factor of node k to branch l; is the bus load value of node k in period t. 、 are the forward and reverse power flow slack variables of branch l respectively.

[0094] In an embodiment of the present disclosure, to construct a section flow constraint, first, for any key section of the target power grid, the flow transmission limit, generator output power transfer distribution factor, generator output power transfer distribution factor, generator output power transfer distribution factor, generator output power transfer distribution factor and forward and reverse flow relaxation variables of the key section can be obtained, and then based on the flow transmission limit, generator output power transfer distribution factor, generator output power transfer distribution factor, generator output power transfer distribution factor, generator output power transfer distribution factor and forward and reverse flow relaxation variables, the section flow constraint of the key section can be constructed.

[0095] In one possible implementation, the flow constraint at the critical section is considered, which can be described as:

[0096]

[0097] Where, 、 They represent the power flow transmission limit of section s respectively; represents the generator output power transfer distribution factor of the node where unit i is located on section sec; represents the generator output power transfer distribution factor of the node where the independent energy storage es is located on the section sec; represents the generator output power transfer distribution factor of the node where the tie line j is located on the section sec; It represents the generator output power transfer distribution factor of node k to section sec. 、 They represent the forward and reverse tidal flow relaxation variables of section sec respectively.

[0098] In the embodiment of the present disclosure, to construct the frequency regulation capacity call transferability constraint, first, for any branch of the target power grid, construct the branch flow correction constraint and section flow correction constraint based on the frequency regulation capacity call of the units and energy storage power stations, and then construct the frequency regulation capacity call transferability constraint based on the branch flow correction constraint and the section flow correction constraint.

[0099] In one possible implementation, the system power flow constraints after the frequency regulation capacity of the units and energy storage power stations is called upon, including branch power flow constraints and section power flow constraints, can be described as follows:

[0100]

[0101]

[0102] The actual frequency regulation capacity call verification process is mainly divided into two categories: the first is the overall frequency regulation capacity call verification, which is to verify the frequency regulation capacity of all units and energy storage units that have won bids, to ensure that the overall clearance result does not cause the power flow of the line and section to exceed the limit. The second is the individual frequency regulation capacity call verification, which is to select high-sensitivity units and energy storage units in nodes with large transfer distribution factors to conduct safety verification of the frequency regulation capacity, to ensure that the clearance result of the corresponding units and energy storage units does not cause the power flow of the line and section to exceed the limit.

[0103] S202: Determine branch power flow output data, disconnection power flow output data, and frequency regulation capacity call transmittability data based on the clearing result.

[0104] S203, in response to the branch flow output data being within the branch flow constraint range, the disconnect flow output data being within the section flow constraint range, and the frequency regulation capacity call transmissibility data being within the frequency regulation capacity call transmissibility constraint range, it is determined that the clearing result passes the capacity safety check.

[0105] In the embodiment disclosed herein, firstly, the branch flow constraint, the section flow constraint and the frequency regulation capacity call transferability constraint are obtained, and then the branch flow output data, the circuit breaker flow output data and the frequency regulation capacity call transferability data are determined based on the joint clearing model of the electric energy and frequency regulation auxiliary service market, and finally, in response to the fact that the branch flow output data is within the branch flow constraint range, the circuit breaker flow output data is within the section flow constraint range, and the frequency regulation capacity call transferability data is within the frequency regulation capacity call transferability constraint range, it is determined that the clearing result passes the capacity safety check. By comprehensively considering the branch flow, section flow and frequency regulation capacity call, it is ensured that the joint clearing model of the electric energy and frequency regulation auxiliary service market can not only meet various physical and technical constraints, but also achieve efficient resource allocation and optimized scheduling, which not only improves the security and stability of the power grid, but also enhances the adaptability and robustness of the system, and provides strong support for the intelligent management of the power grid.

[0106] In the above embodiment, the frequency modulation capacity constraint can also be constructed by Figure 3 Explaining further, the method includes:

[0107] S301, obtaining the frequency regulation capacity data, frequency regulation declared capacity and proportion of the winning capacity of the target power grid.

[0108] It should be noted that the method for obtaining the frequency regulation capacity data, frequency regulation declared capacity and winning capacity ratio of the target power grid can refer to the steps of obtaining the system operation data and unit load data of the target power grid in the above embodiment, which will not be repeated here.

[0109] S302: Constructing a minimum frequency regulation capacity constraint based on the frequency regulation capacity data, constructing an upper limit constraint on the frequency regulation declared capacity based on the frequency regulation declared capacity, and constructing an upper limit constraint on the energy storage frequency regulation winning bid capacity based on the winning bid capacity ratio.

[0110] In the embodiment of the present disclosure, the minimum frequency modulation capacity constraint based on the frequency modulation capacity data can be established as shown in the following formula:

[0111]

[0112] Where, is the winning frequency regulation capacity of unit i in period t, is the winning frequency regulation capacity of energy storage es in time period t, is the frequency modulation capacity requirement of the system in time period t.

[0113] In the embodiment of the present disclosure, the upper limit constraint of the frequency regulation declaration capacity based on the frequency regulation declaration capacity can be established as shown in the following formula:

[0114] ,

[0115] Where, 、 are the declared capacity of unit i and energy storage es in the frequency regulation market respectively; 、 are the rated capacities of unit i and energy storage es respectively, 、 They are the upper limit of the ratio of the declared frequency regulation capacity of unit i and energy storage es to the rated capacity respectively.

[0116] In the embodiment of the present disclosure, the upper limit constraint of the energy storage frequency regulation winning capacity based on the winning capacity ratio can be established as shown in the following formula:

[0117]

[0118] Where, is the winning frequency regulation capacity of energy storage es in time period t, The upper limit of the proportion of the total winning bid capacity of energy storage to the system frequency regulation.

[0119] S303: Construct a frequency regulation capacity constraint based on the minimum frequency regulation capacity constraint, the upper limit constraint of the frequency regulation declared capacity, and the upper limit constraint of the energy storage frequency regulation winning bid capacity.

[0120] In the disclosed embodiment, the frequency regulation capacity data, frequency regulation declared capacity and proportion of successful bid capacity of the target power grid are first obtained, and then the minimum frequency regulation capacity constraint is constructed based on the frequency regulation capacity data, and the frequency regulation declared capacity upper limit constraint is constructed based on the frequency regulation declared capacity, and the energy storage frequency regulation successful bid capacity upper limit constraint is constructed based on the successful bid capacity proportion, and finally the frequency regulation capacity constraint is constructed based on the minimum frequency regulation capacity constraint, the frequency regulation declared capacity upper limit constraint and the energy storage frequency regulation successful bid capacity upper limit constraint. By constructing a multi-level and multi-dimensional frequency regulation capacity constraint system, it is ensured that the power grid can not only meet the basic needs of frequency regulation, but also achieve the best in terms of resource utilization efficiency, market competition fairness, system flexibility, etc., improve the security and stability of the output results of the joint clearing model of the electric energy and frequency regulation auxiliary service market, and promote the healthy development and technological progress of the power market.

[0121] In the above embodiment, energy storage constraints can also be constructed by Figure 4 Explaining further, the method includes:

[0122] S401, acquiring energy storage charging and discharging power data, electric energy charging and discharging and frequency regulation action data, energy storage operation day start data, energy storage operation day end data, and energy storage charging and discharging cycle number data of the target power grid.

[0123] In the embodiment of the present disclosure, the method for obtaining the energy storage charging and discharging power data, electric energy charging and discharging and frequency modulation action data, energy storage operation day start data, energy storage operation day end data and energy storage charging and discharging cycle number data of the target power grid can refer to the steps of obtaining the system operation data and unit load data of the target power grid in the above embodiment, and will not be repeated here.

[0124] S402: constructing energy storage charging and discharging power constraints based on the energy storage charging and discharging power data of the target power grid, constructing energy storage state of charge and charging and discharging constraints based on the electric energy charging and discharging and frequency modulation action data, constructing energy storage operation day start and end state of charge constraints based on the energy storage operation day start data and the energy storage operation day end data, and constructing energy storage charge and discharge cycle number constraints based on the energy storage charge and discharge cycle number data.

[0125] In the embodiment of the present disclosure, the energy storage charging and discharging power constraint can be established as shown in the following formula:

[0126]

[0127]

[0128] ,

[0129]

[0130] Where, 、 They represent the upper and lower limits of the discharge power of the energy storage station es in time period t respectively; 、 They represent the upper and lower limits of the charging power of the energy storage station es in time period t respectively; 、 They represent the charge and discharge state 0-1 variables of the energy storage es in time period t.

[0131] In one possible implementation method, the energy storage state of charge and charge and discharge constraints are constructed based on the energy storage electric energy charging and discharging and frequency modulation action data. First, the upward frequency modulation factor and the downward frequency modulation factor of the energy storage trading unit in each time period can be constructed, and then the state of charge value is calculated based on the upward frequency modulation factor and the downward frequency modulation factor, and then the energy storage state of charge and charge and discharge constraints are constructed.

[0132] In the embodiment of the present disclosure, the energy storage state of charge and charge and discharge constraints can be constructed as follows:

[0133]

[0134]

[0135] Where, is the state of charge of the energy storage es in time period t (MWh), is the state of charge of the energy storage es in time period t-1 (MWh), 、 They represent the charging and discharging power of the energy storage trading unit in time period t respectively; 、 They represent the upward and downward frequency modulation capacity of the energy storage es in time period t respectively; is the charge and discharge efficiency of energy storage es; 、 are the multiplication factors of the energy storage es participating in the upward and downward frequency modulation in time period t respectively; is the clearing time interval (usually 15 minutes in real-time markets), For 60 minutes. 、 They represent the upper and lower limits of the state of charge of the independent energy storage trading unit at the end of time period t.

[0136] It can be seen from the above formula that the state of charge at the end of any energy storage period should be equal to the sum of the state of charge in the previous period and the change in state of charge caused by charging, discharging and frequency modulation in this period.

[0137] Among them, the multiplication factor of the energy storage trading unit participating in the upward and downward frequency modulation in period t is 、 As the time period changes, the impact of the frequency modulation action in each period on its charge state is generally calculated based on historical frequency modulation data statistics.

[0138] It should be noted that the frequency modulation factor of the energy storage power station in each period can be set according to actual conditions. The frequency modulation factor of the energy storage power station in each period can be set manually, obtained through simulation based on a simulation model, or optionally obtained through experiments.

[0139] For example, examples of frequency regulation factors of energy storage power stations in different time periods are shown in the following table.

[0140]

[0141] The energy storage's state of charge (SOC) constraints for the start and end of a day are that the SOC at the start of the current day is equal to its SOC clearing value at the end of the previous day. The SOC at the end of the day is equal to its declared expected value. The formula for constructing the SOC constraints for the start and end of a day is as follows:

[0142] ,

[0143] Where, 、 Respectively represent the state of charge of the energy storage es at the time of operation and the end time of the operation day; Indicates the state of charge of the energy storage es at the end of the previous operating day; Indicates the expected state of charge value reported by the energy storage es at the end of the operating day.

[0144] In the embodiment of the present disclosure, the formula for constraining the number of energy storage charge and discharge cycles is as follows:

[0145]

[0146] Where, 、 Respectively represent the energy storage discharge power and charging power at time t; 、 Represent the energy storage discharge efficiency and charging efficiency respectively; Represents the rated capacity of energy storage; Represents the calculation period, currently set to 15 minutes; Represents the maximum number of charge and discharge cycles uniformly set by the dispatching agency.

[0147] S403: Constructing energy storage constraints based on energy storage charge and discharge power constraints, energy storage state of charge and charge and discharge constraints, energy storage operation day start and end state of charge constraints, and energy storage charge and discharge cycle number constraints.

[0148] In the embodiment of the present disclosure, first, energy storage charging and discharging power data, electric energy charging and discharging and frequency modulation action data, energy storage operation day start data, energy storage operation day end data, and energy storage charging and discharging cycle number data of the target power grid are obtained. Then, energy storage charging and discharging power constraints are constructed based on the energy storage charging and discharging power data of the target power grid, and energy storage state of charge and charging and discharging constraints are constructed based on the electric energy charging and discharging and frequency modulation action data. Energy storage operation day start and end state of charge constraints are constructed based on the energy storage operation day start data and energy storage operation day end data, and energy storage charging and discharging cycle number constraints are constructed based on the energy storage charging and discharging cycle number data. Finally, energy storage constraints are constructed based on the energy storage charging and discharging power constraints, energy storage state of charge and charging and discharging constraints, energy storage operation day start and end state of charge constraints, and energy storage charging and discharging cycle number constraints. Therefore, by constructing energy storage constraints, compared with the joint clearing model of the electricity energy and frequency regulation ancillary service markets in current technologies, the model in this scheme can take into account the impact of the electricity energy market output plan and the frequency regulation ancillary service actions on the energy storage SOC, ensure the effectiveness of the energy storage SOC execution, and enable the energy storage to have sufficient SOC to provide corresponding services during the bidding period of the electricity energy market and the ancillary service market.

[0149] Corresponding to the methods for jointly clearing the electric energy and frequency regulation auxiliary service markets provided in the above-mentioned embodiments, an embodiment of the present disclosure further provides a device for jointly clearing the electric energy and frequency regulation auxiliary service markets. Since the device for jointly clearing the electric energy and frequency regulation auxiliary service markets provided in the embodiment of the present disclosure corresponds to the methods for jointly clearing the electric energy and frequency regulation auxiliary service markets provided in the above-mentioned embodiments, the implementation methods of the above-mentioned methods for jointly clearing the electric energy and frequency regulation auxiliary service markets are also applicable to the device for jointly clearing the electric energy and frequency regulation auxiliary service markets provided in the embodiment of the present disclosure, and will not be described in detail in the following embodiments.

[0150] Figure 5 Schematic diagram of a joint clearing device for electric energy and frequency regulation auxiliary service market according to one embodiment of the present disclosure. Figure 5 As shown, the electric energy and frequency regulation auxiliary service market joint clearing device 500 includes: an acquisition module 510, a generation module 520, an establishment module 530, a verification module 540 and an output module 550.

[0151] The acquisition module 510 is used to acquire the system operation data and unit load data of the target power grid.

[0152] The generation module 520 is used to construct the model objective function and model constraints of the target power grid based on the system operation data and the unit load data, wherein the model constraints include at least frequency regulation capacity constraints and energy storage constraints.

[0153] A module 530 is established to construct a joint clearing model of the electric energy and frequency regulation auxiliary service market of the target power grid based on the model objective function and model constraints.

[0154] The verification module 540 is used to perform capacity safety verification on the joint clearing model of the electric energy and frequency regulation ancillary service market. In response to the joint clearing model of the electric energy and frequency regulation ancillary service market failing the capacity safety verification, the joint clearing model of the electric energy and frequency regulation ancillary service market is adjusted to generate an adjusted joint clearing model of the electric energy and frequency regulation ancillary service market.

[0155] The output module 550 is used to repeat the above-mentioned capacity safety verification of the joint clearing model of the electric energy and frequency regulation ancillary service market and its subsequent steps until the capacity safety verification passes and output the joint clearing model of the target electric energy and frequency regulation ancillary service market.

[0156] According to one embodiment of the present disclosure, a capacity safety check is performed on a joint clearing model of the electric energy and frequency regulation ancillary service market, including: obtaining branch flow constraints, section flow constraints, and frequency regulation capacity call transferability constraints; determining branch flow output data, disconnect flow output data, and frequency regulation capacity call transferability data based on the joint clearing model of the electric energy and frequency regulation ancillary service market; in response to the branch flow output data satisfying the branch flow constraint, the disconnect flow output data satisfying the section flow constraint, and the frequency regulation capacity call transferability data satisfying the frequency regulation capacity call transferability constraint, determining that the joint clearing model of the electric energy and frequency regulation ancillary service market passes the capacity safety check.

[0157] According to one embodiment of the present disclosure, constructing a branch flow constraint includes: for any branch of the target power grid, obtaining the branch flow transmission limit value, generator output power transfer distribution factor, generator output power transfer distribution factor, generator output power transfer distribution factor, number of nodes, generator output power transfer distribution factor, bus load value and positive and negative flow relaxation variables; based on the flow transmission limit value, generator output power transfer distribution factor, generator output power transfer distribution factor, generator output power transfer distribution factor, number of nodes, generator output power transfer distribution factor, bus load value and positive and negative flow relaxation variables, constructing the branch flow constraint based on the frequency regulation capacity of the winning bid of the unit and the energy storage power station after calling.

[0158] According to one embodiment of the present disclosure, constructing a section flow constraint includes: for any key section of the target power grid, obtaining the flow transmission limit, generator output power transfer distribution factor, generator output power transfer distribution factor, generator output power transfer distribution factor, generator output power transfer distribution factor and forward and reverse flow relaxation variables of the key section; based on the flow transmission limit, generator output power transfer distribution factor, generator output power transfer distribution factor, generator output power transfer distribution factor, generator output power transfer distribution factor and forward and reverse flow relaxation variables, constructing the section flow constraint of the key section.

[0159] According to one embodiment of the present disclosure, constructing a frequency regulation capacity call transferability constraint includes: for any branch of the target power grid, constructing a branch flow correction constraint and a section flow correction constraint based on the frequency regulation capacity call of the unit and the energy storage power station after the branch wins the bid; and constructing a frequency regulation capacity call transferability constraint based on the branch flow correction constraint and the section flow correction constraint.

[0160] According to one embodiment of the present disclosure, establishing a frequency regulation capacity constraint includes: obtaining frequency regulation capacity data, frequency regulation declared capacity, and proportion of successful bid capacity of a target power grid; establishing a minimum frequency regulation capacity constraint based on the frequency regulation capacity data, establishing an upper limit constraint on the frequency regulation declared capacity based on the frequency regulation declared capacity, and establishing an upper limit constraint on the successful bid capacity of energy storage frequency regulation based on the successful bid capacity proportion; and establishing a frequency regulation capacity constraint based on the minimum frequency regulation capacity constraint, the upper limit constraint on the frequency regulation declared capacity, and the upper limit constraint on the successful bid capacity of energy storage frequency regulation.

[0161] According to one embodiment of the present disclosure, constructing an energy storage constraint includes: obtaining energy storage charging and discharging power data, electric energy charging and discharging and frequency modulation action data, energy storage operation day start data, energy storage operation day end data, and energy storage charging and discharging cycle number data of a target power grid; constructing an energy storage charging and discharging power constraint based on the energy storage charging and discharging power data of the target power grid, constructing an energy storage state of charge and charging and discharging constraint based on the electric energy charging and discharging and frequency modulation action data, constructing an energy storage operation day start and end state of charge constraints based on the energy storage operation day start data and the energy storage operation day end data, and constructing an energy storage charging and discharging cycle number constraint based on the energy storage charging and discharging cycle number data; constructing an energy storage constraint based on the energy storage charging and discharging power constraint, the energy storage state of charge and charging and discharging constraint, the energy storage operation day start and end state of charge constraints, and the energy storage charging and discharging cycle number constraint.

[0162] Therefore, the target electric energy and frequency regulation auxiliary service market joint clearing model generated in the embodiment of the present disclosure is compared with the electric energy and frequency regulation auxiliary service market joint clearing model in the current technology. The addition of frequency regulation capacity constraints and energy storage constraints can take into account the impact of the electric energy market output plan and frequency regulation auxiliary service actions on the energy storage SOC, ensure the effectiveness of the energy storage SOC execution, and enable the energy storage to have sufficient SOC to provide corresponding services during the bidding period of the electric energy market and the auxiliary service market. At the same time, through capacity safety verification, it can prevent the impact on the stability of the power system and improve the feasibility of the output results.

[0163] In order to implement the above embodiment, the present disclosure further provides an electronic device 600. Figure 6 is a schematic diagram of an electronic device according to an embodiment of the present disclosure, such as Figure 6 As shown, the electronic device 600 includes: a processor 601 and a memory 602 in communication with the processor, the memory 602 stores instructions that can be executed by at least one processor, and the instructions are executed by at least one processor 601 to implement the present disclosure. Figures 1-4 The embodiment provides a joint clearing method for the electric energy and frequency regulation auxiliary service markets.

[0164] In order to implement the above embodiment, the present disclosure also provides a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to enable the computer to implement the above embodiment. Figures 1-4 The embodiment provides a joint clearing method for the electric energy and frequency regulation auxiliary service markets.

[0165] In order to implement the above embodiments, the present disclosure also provides a computer program product, including a computer program, which implements the above embodiments when executed by a processor. Figures 1-4 The embodiment provides a joint clearing method for the electric energy and frequency regulation auxiliary service markets.

[0166] It is important to note that personal information collected from users should be used for legitimate and reasonable purposes and should not be shared or sold beyond these legitimate uses. Furthermore, such collection / sharing should be conducted only after receiving the user's informed consent, including but not limited to notifying the user to read the user agreement / user notice and sign an agreement / authorization that includes the relevant user information before using the feature. Furthermore, any necessary steps must be taken to safeguard and secure access to such personal information and ensure that others with access to personal information comply with its privacy policy and procedures.

[0167] This application contemplates providing implementations that allow users to selectively block the use or access of personal information data. Specifically, this disclosure contemplates providing hardware and / or software to prevent or block access to such personal information data. Risks can be minimized by limiting data collection and deleting data once it is no longer needed. Furthermore, where applicable, such personal information can be de-identified to protect user privacy.

[0168] In the descriptions of the foregoing embodiments, the reference terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" mean that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine different embodiments or examples described in this specification and features of different embodiments or examples, unless they are mutually inconsistent.

[0169] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of the technical features being referred to. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of such features. Throughout the description of this application, "plurality" means at least two, for example, two, three, etc., unless otherwise specifically defined.

[0170] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may be performed out of the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present application belong.

[0171] The logic and / or steps represented in a flowchart or otherwise described herein, for example, can be considered a sequenced list of executable instructions for implementing the logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (e.g., a computer-based system, a system including a processor, or other system that can fetch and execute instructions from an instruction execution system, apparatus, or device). For purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (non-exhaustive list) of computer-readable media include the following: an electrical connection with one or more wires (electronic devices), a portable computer disk cartridge (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and programmable read-only memory (EPROM or flash memory), fiber optic devices, and a portable compact disc read-only memory (CDROM). Furthermore, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing it in another suitable manner if necessary, and then storing it in a computer memory.

[0172] It should be understood that various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above-described embodiments, multiple steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof can be used: a discrete logic circuit having logic gate circuits for implementing logical functions on data signals, an application-specific integrated circuit having suitable combinational logic gate circuits, a programmable gate array (PGA), a field-programmable gate array (FPGA), etc.

[0173] Those skilled in the art will understand that all or part of the steps in the method of the above embodiment can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiment.

[0174] In addition, the functional units in the various embodiments of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into a module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0175] The storage medium mentioned above may be a read-only memory, a magnetic disk, or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application. Persons skilled in the art may make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present application.

Claims

1. A joint clearing method for the electric energy and frequency regulation auxiliary service market, characterized in that: include: Obtaining system operation data and unit load data of the target power grid, wherein the system operation data includes at least the frequency regulation mileage coefficient of the generator set and the frequency regulation mileage coefficient of the energy storage trading unit; Constructing a model objective function and model constraints of the target power grid based on the system operation data and the unit load data, wherein the model constraints include at least a frequency regulation capacity constraint and an energy storage constraint, and the energy storage constraints include an energy storage charge and discharge power constraint, an energy storage state of charge and charge and discharge constraint, an energy storage operation day start and end state of charge constraint, and an energy storage charge and discharge cycle count constraint; and The frequency regulation mileage coefficient of the generator set and the frequency regulation mileage coefficient of the energy storage trading unit are used to make a frequency regulation mileage quotation; Constructing a joint clearing model of the electric energy and frequency regulation auxiliary service market of the target power grid based on the model objective function and the model constraints; performing branch power flow constraint checks, section power flow constraint checks, and frequency regulation capacity call transferability constraint checks on the clearing result of the joint clearing model of the electric energy and frequency regulation ancillary service market, and determining whether it passes the capacity safety check based on the check result; if the clearing result fails the capacity safety check, adjusting the joint clearing model of the electric energy and frequency regulation ancillary service market to generate an adjusted joint clearing model of the electric energy and frequency regulation ancillary service market; Repeat the above-mentioned capacity safety verification and subsequent steps for the joint clearing model of the electricity energy and frequency regulation ancillary service market until the capacity safety verification passes and outputs the target clearing result including the effectiveness guarantee of the energy storage SOC execution; The energy storage constraint is constructed, including obtaining data on electric energy charging and discharging and frequency modulation actions; Construct the upward frequency modulation factor and downward frequency modulation factor of the energy storage trading unit in each time period; Calculating a state of charge value based on the upward frequency modulation factor and the downward frequency modulation factor; Constructing the energy storage state of charge and charge and discharge constraints based on the impact of the electric energy charge and discharge and frequency modulation actions on the state of charge; The objective function of the model is: Wherein, h is the clearing result, N is the total number of generator sets, T is the total number of time periods, is the electric energy power of generator set i in period t, is the operating cost of generator set i in period t, ES is the total number of energy storage trading units, 、 are the discharge and charging power of the energy storage trading unit in time period t, respectively. is the frequency modulation power of generator set i in period t, is the frequency regulation capacity quotation of generator set i, is the frequency regulation mileage quotation of generator set i, is the frequency regulation mileage coefficient of generator set i, is the opportunity cost quotation of frequency regulation of unit i, is the frequency modulation power of the energy storage trading unit in period t, The frequency regulation capacity quotation of the energy storage trading unit is The frequency regulation mileage quotation of the energy storage trading unit is is the frequency regulation mileage coefficient of the energy storage transaction unit, Quote the opportunity cost of frequency regulation for energy storage trading units.

2. The method according to claim 1, characterized in that Constructing the frequency modulation capacity constraint includes: Obtain frequency regulation capacity data, declared frequency regulation capacity, and proportion of successful bid capacity of the target power grid; Constructing a minimum frequency regulation capacity constraint based on the frequency regulation capacity data, constructing a frequency regulation declared capacity upper limit constraint based on the frequency regulation declared capacity, and constructing a storage frequency regulation winning bid capacity upper limit constraint based on the winning bid capacity ratio; The frequency regulation capacity constraint is constructed based on the minimum frequency regulation capacity constraint, the frequency regulation declared capacity upper limit constraint and the energy storage frequency regulation winning capacity upper limit constraint.

3. The method according to claim 1, characterized in that Constructing the energy storage constraint further includes: Obtaining energy storage charging and discharging power data, energy storage operation day start data, energy storage operation day end data, and energy storage charging and discharging cycle number data of the target power grid; Establishing an energy storage charge and discharge power constraint based on the energy storage charge and discharge power data of the target power grid, establishing energy storage operation day start and end state of charge constraints based on the energy storage operation day start data and the energy storage operation day end data, and establishing an energy storage charge and discharge cycle number constraint based on the energy storage charge and discharge cycle number data; The energy storage constraint is constructed based on the energy storage charge and discharge power constraint, the energy storage state of charge and charge and discharge constraint, the energy storage operation day start and end state of charge constraints, and the energy storage charge and discharge cycle number constraint.

4. The method according to claim 1, wherein The capacity safety verification of the clearing results of the joint clearing model of the electric energy and frequency regulation ancillary service market includes: Obtain branch power flow constraints, section power flow constraints, and frequency regulation capacity transferability constraints; Determine branch power flow output data, disconnection power flow output data and frequency regulation capacity call transferability data based on the clearing result; In response to the branch flow output data being within the branch flow constraint range, the disconnect flow output data being within the section flow constraint range, and the frequency regulation capacity call transmittability data being within the frequency regulation capacity call transmittability constraint range, it is determined that the clearing result passes the capacity safety check.

5. The method according to claim 4, characterized in that Constructing the frequency modulation capacity call transferability constraint includes: For any branch of the target power grid, construct branch power flow correction constraints and section power flow correction constraints based on the frequency regulation capacity of the unit and energy storage power station after the branch is called; The frequency regulation capacity call transferability constraint is constructed based on the branch power flow correction constraint and the section power flow correction constraint.

6. A joint clearing device for the electric energy and frequency regulation auxiliary service market, characterized in that: The device is used to implement the method according to claim 1, wherein the device includes: An acquisition module is used to acquire system operation data and unit load data of the target power grid, wherein the system operation data at least includes the frequency regulation mileage coefficient of the generator set and the frequency regulation mileage coefficient of the energy storage trading unit; a generation module, configured to construct a model objective function and model constraints of the target power grid based on the system operation data and the unit load data, wherein the model constraints include at least a frequency regulation capacity constraint and an energy storage constraint, and the energy storage constraints include an energy storage charge and discharge power constraint, an energy storage state of charge and charge and discharge constraint, an energy storage operation day start and end state of charge constraint, and an energy storage charge and discharge cycle number constraint; Establishing a module for constructing a joint clearing model of the electric energy and frequency regulation auxiliary service market of the target power grid based on the model objective function and the model constraints; a verification module, configured to perform branch power flow constraint verification, section power flow constraint verification, and frequency regulation capacity call transferability constraint verification on a clearing result of the joint clearing model of the electric energy and frequency regulation ancillary service market, and determine whether a capacity safety verification has been passed based on the verification result; if the clearing result fails the capacity safety verification, adjusting the joint clearing model of the electric energy and frequency regulation ancillary service market to generate an adjusted joint clearing model of the electric energy and frequency regulation ancillary service market; The output module is used to repeat the above-mentioned capacity safety verification of the joint clearing model of the electric energy and frequency regulation auxiliary service market and its subsequent steps until the capacity safety verification passes and output the target clearing result.

7. An electronic device, characterized in that: Including memory and processor; The processor reads the executable program code stored in the memory to run a program corresponding to the executable program code, so as to implement the method according to any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to any one of claims 1 to 5 when executed by a processor.

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