Spot market and frequency modulation auxiliary service market coordinated clearing method based on electric vehicle aggregation

Abstract

The invention relates to a spot market and frequency modulation auxiliary service market coordinated clearing method based on electric vehicle aggregation. The method comprises the following steps: screening out an electric vehicle group according with a preset electric vehicle screening model, and calculating the frequency modulation capacity of the electric vehicle group; calculating the frequency modulation capacity of the temperature control load group according to the operation parameters of the temperature control load group and a pre-established temperature control load equivalent thermal parameter model; performing aggregation equivalence on the frequency modulation capacity of the electric vehicle group and the frequency modulation capacity of the temperature control load group to obtain the capacity of a virtual energy storage battery; determining clearing parameters according to the capacity of the virtual energy storage battery and a pre-constructed spot market and frequency modulation auxiliary service market coordination clearing model; and clearing in the frequency modulation auxiliary service market based on the clearing parameters. By adopting the method, the schedulable frequency modulation resource pool can be effectively expanded, and the problem that traditional frequency modulation resources are limited is solved.

Description

Technical Field

[0001] The present application relates to the field of frequency regulation technology, and in particular to a method for coordinating and clearing a spot market and a frequency regulation auxiliary service market based on electric vehicle aggregation. Background Art

[0002] In the process of pursuing low-carbon goals, building a new power system with a high proportion of new energy has brought opportunities and challenges to the power industry. With the increase in the proportion of new energy, the uncertainty of the power system source and load sides has increased significantly, which poses a potential threat to the system frequency security. To this end, by establishing a frequency regulation auxiliary service market and adjusting service prices through market-based means, the quality of frequency regulation services and optimal resource allocation have been improved.

[0003] However, the increase in uncertainty on the source side makes the clearing of the frequency regulation ancillary service market more complicated. How to effectively allocate limited frequency regulation resources and how to introduce more potential resources into the market have become urgent issues that need to be addressed. Summary of the invention

[0004] Based on this, it is necessary to provide a coordinated clearing method for the spot market and frequency regulation ancillary service market based on electric vehicle aggregation to address the above technical issues.

[0005] In the first aspect, the present application provides a method for coordinated clearing of a spot market and a frequency regulation ancillary service market based on electric vehicle aggregation, the method comprising:

[0006] Screen out electric vehicle groups that meet a preset electric vehicle screening model, and calculate the frequency modulation capacity of the electric vehicle groups;

[0007] Calculate the frequency regulation capacity of the temperature control load group according to the operating parameters of the temperature control load group and the pre-established temperature control load equivalent thermal parameter model;

[0008] The frequency regulation capacity of the electric vehicle group and the frequency regulation capacity of the temperature control load group are aggregated and equivalent to obtain the capacity of the virtual energy storage battery;

[0009] Determine the clearing parameters based on the capacity of the virtual energy storage battery and the pre-built coordinated clearing model of the spot market and the frequency regulation ancillary service market;

[0010] Based on the clearing parameters, clearing is carried out in the frequency regulation ancillary service market.

[0011] In one embodiment, the electric vehicle screening model includes the following expression:

[0012]

[0013]

[0014]

[0015] in, Indicates the state of charge of the electric vehicle battery at time t; Indicates the charging status of the electric vehicle battery at time t. When it is set to 1, it means that the electric vehicle battery starts to charge; Indicates the charging efficiency of electric vehicle batteries, Indicates the charging power of the electric vehicle battery, Indicates the capacity of the electric vehicle battery. For charging time; is the lower limit of the charging power of electric vehicle batteries, The upper limit of the charging power of electric vehicle batteries, is the lower limit of the state of charge of electric vehicles, It is the upper limit of the state of charge of electric vehicles.

[0016] In one embodiment, the electric vehicle screening model further includes the following expression:

[0017]

[0018]

[0019] in, is the state of charge expected by the user, is the lower limit of the state of charge that electric vehicles need to meet to participate in frequency regulation. is the upper limit of the state of charge that electric vehicles need to meet to participate in frequency regulation, t e The expected end time of charging for electric vehicles.

[0020] In one embodiment, the temperature control load equivalent thermal parameter model includes the following expression:

[0021]

[0022]

[0023]

[0024] in, is the indoor temperature at time t, T o is the outdoor temperature, C is the equivalent heat capacity of the room, R is the equivalent thermal resistance of the room, s(t) is the switch state of the load, P c =η TCL P TCL is the temperature control load cooling / heating power, where η TCL is the energy consumption ratio, P TCL is the load rated power, T setis the temperature setting value of the temperature control load, δ is the temperature dead zone bandwidth, T low is the lower limit of the indoor temperature when the temperature control load switches on and off, T high is the upper limit of the indoor temperature when the temperature control load switches the switch state, ε t is the infinite time lag, or the simulation time step in case of discrete time simulation;

[0025] The steps to calculate the frequency regulation capacity of the temperature control load group include:

[0026] Calculate the aggregate power expectation of all temperature-controlled load groups that meet the following inequality conditions, where the inequality conditions are:

[0027]

[0028] in, , and the temperature dead zone of all temperature control load groups is [T min , T max ], N is the number of temperature control load groups, is the average energy consumption ratio, is the average equivalent thermal resistance of the room;

[0029] The minimum value of the expected aggregate power of all temperature-controlled load groups is taken as the regulation power provided by the temperature-controlled load group. ;

[0030] According to the following formula, calculate the frequency regulation capacity when the temperature control load group is equivalent to a virtual battery:

[0031]

[0032] in, is the frequency regulation capacity when the temperature control load group is equivalent to a virtual battery, The regulating power provided for the temperature control load group, It is the adjustment time of the temperature control load group.

[0033] In one embodiment, the frequency modulation capacity C when the temperature control load group is equivalent to a virtual battery is calculated. TCL Before the steps, also include:

[0034] Adjust the regulation power provided by the temperature control load group according to the following formula , get the maximum regulation power provided by the temperature control load group , and adjust the maximum power As a measure of frequency modulation capacity , where the formula is:

[0035]

[0036] Among them, α is the power proportional coefficient, which means the proportion of the regulation power provided by the temperature control load group to the aggregate power of the load group.

[0037] In one embodiment, the frequency modulation capacity of the electric vehicle group and the frequency modulation capacity of the temperature control load group are aggregated and equivalent to obtain the capacity of the virtual energy storage battery, including:

[0038] According to the following formula, the capacity of the virtual energy storage battery is obtained :

[0039]

[0040] in, is the frequency regulation capacity of the temperature control load group, is the frequency regulation capacity of the electric vehicle group, represents the capacity of the battery of the mth electric car, and M is the number of electric cars.

[0041] In one embodiment, according to the capacity of the virtual energy storage battery and the pre-built coordinated clearing model of the spot market and the frequency regulation ancillary service market, the clearing parameters are determined, including:

[0042] A day-ahead safety constraint unit combination model is established to determine the unit output plan. The objective function of the day-ahead safety constraint unit combination model is:

[0043]

[0044]

[0045]

[0046] in, is the operating cost of unit j in period t and is the startup cost of unit j in period t, there are T periods and J units in total; B is the operating cost of h virtual energy storage batteries in period t, and there are H virtual energy storage batteries in total; j,k,t is the price quoted by the kth section of the jth unit in period t, P j,k,t is the output of the kth section of unit j during period t; u j,t It is a 0-1 variable that constrains the start and stop of the unit; is the capacity of unit j;

[0047] A day-ahead safety-constrained economic dispatch model is established to determine the unit power generation plan for multiple periods and calculate the node electricity price. The objective function of the day-ahead safety-constrained economic dispatch model is:

[0048]

[0049] The clearing in the frequency regulation ancillary service market is sorted according to the comprehensive bids, and the objective function is:

[0050]

[0051] in, Mileage quotes reported for frequency regulation ancillary service providers, is the opportunity cost, AF t is the total cost of frequency regulation ancillary services during period t, The winning bid capacity for frequency regulation of virtual energy storage batteries;

[0052] Based on the clearing parameters, clearing is performed in the frequency regulation ancillary service market, including:

[0053] The frequency regulation ancillary service market will be cleared in order of frequency regulation winning capacity from large to small.

[0054] In the second aspect, the present application also provides a coordinated clearing device for the spot market and the frequency regulation auxiliary service market based on electric vehicle aggregation, the device comprising:

[0055] The module for determining the frequency modulation capacity of the electric vehicle group is used to screen out the electric vehicle group that meets the preset electric vehicle screening model and calculate the frequency modulation capacity of the electric vehicle group;

[0056] The frequency regulation capacity determination module of the temperature control load group is used to calculate the frequency regulation capacity of the temperature control load group according to the operating parameters of the temperature control load group and the pre-established temperature control load equivalent thermal parameter model;

[0057] The capacity determination module of the virtual energy storage battery is used to aggregate and equate the frequency regulation capacity of the electric vehicle group and the frequency regulation capacity of the temperature control load group to obtain the capacity of the virtual energy storage battery;

[0058] A clearing parameter determination module is used to determine clearing parameters based on the capacity of the virtual energy storage battery and the pre-built spot market and frequency regulation ancillary service market coordination clearing model;

[0059] The clearing module is used to perform clearing in the frequency regulation auxiliary service market based on clearing parameters.

[0060] In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the method in the above embodiment when executing the computer program.

[0061] In a fourth aspect, the present application further provides a computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, the steps of the method in the above embodiment are implemented.

[0062] In a fifth aspect, the present application also provides a computer program product, including a computer program, which implements the steps of the method in the above embodiment when the computer program is executed by a processor.

[0063] The above-mentioned coordinated clearing method of the spot market and the frequency regulation ancillary service market based on electric vehicle aggregation has at least the following beneficial effects:

[0064] By aggregating potential frequency regulation resources such as electric vehicle groups and temperature control load groups into virtual energy storage batteries, the dispatchable frequency regulation resource pool is effectively expanded, solving the problem of limited traditional frequency regulation resources. In addition, more entities are encouraged to participate in the frequency regulation of the power system through market-based means, thereby enhancing the flexibility and response speed of the system. While improving the frequency regulation efficiency, it also provides a way for more potential resources to enter the market, thereby achieving optimal allocation and utilization of resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0066] FIG1 is an application environment diagram of a method for coordinated clearing of spot market and frequency regulation auxiliary service market based on electric vehicle aggregation in one embodiment;

[0067] FIG2 is a flow chart of a method for coordinating and clearing the spot market and the frequency regulation auxiliary service market based on electric vehicle aggregation in one embodiment;

[0068] FIG3 is a structural block diagram of a coordinated clearing device for the spot market and the frequency regulation auxiliary service market based on electric vehicle aggregation in one embodiment;

[0069] FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0070] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0071] The method for coordinated clearing of the spot market and the frequency regulation auxiliary service market based on electric vehicle aggregation provided in the embodiment of the present application can be applied in the application environment shown in FIG. 1 . Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the data that the server 104 needs to process. The data storage system can be integrated on the server 104, or it can be placed on the cloud or other network servers. The server 104 screens out the electric vehicle group that meets the preset electric vehicle screening model, and calculates the frequency regulation capacity of the electric vehicle group; calculates the frequency regulation capacity of the temperature control load group according to the operating parameters of the temperature control load group and the pre-established temperature control load equivalent thermal parameter model; aggregates the frequency regulation capacity of the electric vehicle group and the frequency regulation capacity of the temperature control load group to obtain the capacity of the virtual energy storage battery; determines the clearing parameters according to the capacity of the virtual energy storage battery and the pre-established spot market and frequency regulation auxiliary service market coordinated clearing model; and performs clearing in the frequency regulation auxiliary service market based on the clearing parameters. Among them, the terminal 102 can be, but is not limited to, temperature control load equipment such as electric vehicles and air conditioners. The server 104 may be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides cloud computing services.

[0072] In an exemplary embodiment, as shown in FIG2 , the present application provides a method for coordinating and clearing a spot market and a frequency regulation auxiliary service market based on electric vehicle aggregation, the method comprising:

[0073] S202, screening out electric vehicle groups that meet a preset electric vehicle screening model, and calculating the frequency modulation capacity of the electric vehicle groups;

[0074] S204, calculating the frequency regulation capacity of the temperature control load group according to the operating parameters of the temperature control load group and a pre-established temperature control load equivalent thermal parameter model;

[0075] S206, aggregating and equilibrating the frequency regulation capacity of the electric vehicle group and the frequency regulation capacity of the temperature control load group to obtain the capacity of the virtual energy storage battery;

[0076] S208, determining clearing parameters according to the capacity of the virtual energy storage battery and the pre-built spot market and frequency regulation auxiliary service market coordinated clearing model;

[0077] S210: Clearing the frequency modulation auxiliary service market based on the clearing parameters.

[0078] Among them, the electric vehicle group refers to a group of electric vehicles that meet specific screening criteria. They can participate in the frequency regulation activities of the power grid according to demand response signals by connecting to the smart grid system, providing certain flexibility and energy storage functions. The screening criteria here can be based on factors such as the remaining power, location, and user behavior patterns of electric vehicles to ensure that these vehicles can participate in the auxiliary services of the power grid without affecting the normal use of the owners. The temperature-controlled load group refers to a series of electrical equipment or systems that can respond to the needs of the power grid by adjusting their operating temperature, such as air conditioning systems, water heaters, etc. Such equipment can adjust its working mode according to external instructions to achieve the purpose of reducing peak power consumption or providing additional power to the power grid. By adjusting the operation of these devices, it can effectively participate in the frequency control activities of the power grid. The virtual energy storage battery is a conceptual model that combines the frequency regulation capacity of the electric vehicle group and the temperature-controlled load group to simulate a virtual battery with the characteristics of storing and releasing electrical energy. The capacity of this virtual battery is calculated based on the frequency regulation capacity that the electric vehicle group and the temperature-controlled load group can provide respectively. It can help simplify the transaction process in the power market, so that these decentralized, non-traditional energy storage and consumption equipment can participate in market transactions as a whole, thereby improving the flexibility and efficiency of the power system.

[0079] Exemplarily, a pre-set electric vehicle screening model is used to identify electric vehicle groups that meet specific conditions, and the total frequency regulation capacity that these electric vehicles can provide as virtual energy storage units is calculated based on the characteristics of these electric vehicles. Taking into account the impact of the temperature-controlled load group, the frequency regulation capacity of this part of the load is estimated based on its operating parameters and the pre-built equivalent thermal parameter model, so as to quantify their potential as auxiliary frequency regulation resources. The frequency regulation capacities of the electric vehicle group and the temperature-controlled load group obtained in the first two steps are integrated, and through mathematical methods or simulation calculations, they are equivalent to the capacity of a virtual energy storage battery to represent the frequency regulation capacity of the overall system. Using the obtained virtual energy storage battery capacity data, combined with the previously established coordinated clearing model between the spot market and the frequency regulation auxiliary service market, the optimal clearing parameters that can balance market demand and supply are analyzed and determined. Based on the determined clearing parameters, actual power transactions are carried out in the frequency regulation auxiliary service market to ensure the frequency stability of the power system, while optimizing resource allocation and realizing effective docking and coordinated operation between the spot market and the frequency regulation market. This series of steps not only takes into account the role of electric vehicles and temperature control loads as flexible resources in grid frequency regulation, but also promotes the deep integration of new energy vehicles and power grids through reasonable market mechanism design, thereby improving the operating efficiency and economy of the power system.

[0080] The above-mentioned coordinated clearing method of the spot market and the frequency regulation ancillary service market based on electric vehicle aggregation effectively expands the dispatchable frequency regulation resource pool by aggregating potential frequency regulation resources such as electric vehicle groups and temperature control load groups into virtual energy storage batteries, solves the problem of limited traditional frequency regulation resources, and encourages more entities to participate in the frequency regulation of the power system through market-based means, thereby enhancing the flexibility and response speed of the system. While improving the frequency regulation efficiency, it also provides a way for more potential resources to enter the market, thereby achieving optimal allocation and utilization of resources.

[0081] In an exemplary embodiment, the electric vehicle screening model includes the following expression:

[0082]

[0083]

[0084]

[0085] in, Indicates the state of charge of the electric vehicle battery at time t; Indicates the charging status of the electric vehicle battery at time t. When it is set to 1, it means that the electric vehicle battery starts to charge; Indicates the charging efficiency of electric vehicle batteries, Indicates the charging power of the electric vehicle battery, Indicates the capacity of the electric vehicle battery. For charging time; is the lower limit of the charging power of electric vehicle batteries, The upper limit of the charging power of electric vehicle batteries, is the lower limit of the state of charge of electric vehicles, It is the upper limit of the state of charge of electric vehicles.

[0086] Among them, electric vehicles provide frequency modulation capacity to the power grid system by stopping charging or discharging. The essence of electric vehicles providing frequency modulation capacity to the power grid system is the charging and discharging of energy storage batteries. Considering that lithium batteries have no memory effect and intermittent charging operations do not affect battery life, an electric vehicle screening model containing the above expression is established to calculate the charge state of electric vehicles, and constrain the charging power and charge state of electric vehicles to avoid overcharging.

[0087] In this embodiment, by defining a screening model that includes parameters such as the state of charge, charging state, charging efficiency, charging power and upper and lower limits of the electric vehicle battery, it is helpful to accurately evaluate and screen qualified electric vehicles to join the frequency regulation service of the smart grid. This not only effectively utilizes the potential of electric vehicles as mobile energy storage units, but also improves the flexibility and reliability of grid frequency control, thereby promoting efficient interaction between new energy vehicles and the power grid, and realizing the optimal allocation of frequency regulation resources.

[0088] In an exemplary embodiment, the electric vehicle screening model further includes the following expression:

[0089]

[0090]

[0091] in, is the state of charge expected by the user, is the lower limit of the state of charge that electric vehicles need to meet to participate in frequency regulation. is the upper limit of the state of charge that electric vehicles need to meet to participate in frequency regulation, t e The expected end time of charging for electric vehicles.

[0092] Among them, in order to ensure that the electric vehicle is still in a normal charging state after participating in the frequency modulation, the expression in this embodiment is used to further constrain the electric vehicles that can participate in the frequency modulation to ensure that no interference is caused to the normal charging of the user. Then, it is obtained that only the electric vehicles that are in the charging state and the charge state meets the expression in this embodiment can participate in the frequency modulation.

[0093] In this embodiment, by adding the user's expected state of charge and the upper and lower limit constraints on the state of charge required for electric vehicles to participate in frequency regulation, it is ensured that electric vehicles participating in the frequency regulation service will not affect the user's normal charging needs, thereby improving the frequency regulation performance of the power grid while ensuring the user experience and promoting electric vehicles to participate more widely and safely in the energy management system of the smart grid.

[0094] In an exemplary embodiment, the temperature control load equivalent thermal parameter model includes the following expression:

[0095]

[0096]

[0097]

[0098] in, is the indoor temperature at time t, T ois the outdoor temperature, C is the equivalent heat capacity of the room, R is the equivalent thermal resistance of the room, s(t) is the switch state of the load, P c =η TCL P TCL is the temperature control load cooling / heating power, where η TCL is the energy consumption ratio, P TCL is the load rated power, T set is the temperature setting value of the temperature control load, δ is the temperature dead zone bandwidth, T low is the lower limit of the indoor temperature when the temperature control load switches on and off, T high is the upper limit of the indoor temperature when the temperature control load switches the switch state, ε t is the infinite time lag, or the simulation time step in case of discrete time simulation;

[0099] Specifically, the temperature control load provides frequency regulation services to the system in an aggregated form. When the operating states of temperature control loads of different proportions are switched, the aggregate power of the temperature control load group changes accordingly. The power effect reflected by this change is similar to that of load shedding. Therefore, the temperature control load can be aggregated according to the geographical location to provide regulation power as a whole. The temperature control load provides frequency regulation capacity to the system through temperature regulation and start-stop regulation. The concentrated parameter method is used to establish an equivalent thermal parameter model of a single temperature control load containing the above expression.

[0100] The steps to calculate the frequency regulation capacity of the temperature control load group include:

[0101] Calculate the aggregate power expectation of all temperature-controlled load groups that meet the following inequality conditions, where the inequality conditions are:

[0102]

[0103] in, , and the temperature dead zone of all temperature control load groups is [T min , T max ], N is the number of temperature control load groups, is the average energy consumption ratio, is the average equivalent thermal resistance of the room;

[0104] The minimum value of the expected aggregate power of all temperature-controlled load groups is taken as the regulation power provided by the temperature-controlled load group. ;

[0105] According to the following formula, calculate the frequency regulation capacity when the temperature control load group is equivalent to a virtual battery:

[0106]

[0107] in, is the frequency regulation capacity when the temperature control load group is equivalent to a virtual battery, The regulating power provided for the temperature control load group, It is the adjustment time of the temperature control load group.

[0108] Specifically, by setting the temperature dead zone of all controlled temperature control loads to [T min , T max ], combined with Jensen inequality, the aggregate power expectation E(P base ), in order to avoid the required power reduction being greater than the regulation power that the actual temperature control load group can provide, the minimum value of the inequality is selected, that is, As E(P base ) is used to calculate the frequency regulation capacity when the temperature control load group is equivalent to a virtual battery.

[0109] In this embodiment, by establishing an equivalent thermal parameter model of the temperature-controlled load and calculating its frequency regulation capacity, the contribution of the temperature-controlled load group in participating in the frequency regulation of the power grid is effectively quantified, so that these devices that are usually regarded as fixed loads can participate in the dynamic regulation of the power market in the form of virtual energy storage. This not only improves the grid's utilization efficiency of load-side resources and enhances the system's frequency stability, but also provides temperature-controlled load owners with the opportunity to participate in market transactions, increases the flexibility and economy of the system, while reducing dependence on traditional frequency regulation resources and promoting the intelligent transformation of the power grid.

[0110] In an exemplary embodiment, the frequency modulation capacity C when the temperature-controlled load group is equivalent to a virtual battery is calculated. TCL Before the steps, also include:

[0111] Adjust the regulation power provided by the temperature control load group according to the following formula , get the maximum regulation power provided by the temperature control load group , and adjust the maximum power As a measure of frequency modulation capacity , where the formula is:

[0112]

[0113] Among them, α is the power proportional coefficient, which means the proportion of the regulation power provided by the temperature control load group to the aggregate power of the load group.

[0114] Specifically, if the proportion of the regulation power provided by the temperature-controlled load group to the aggregate power of the load group is too high, the heterogeneity of the load group will be reduced, causing synchronous oscillation of the aggregate power. Therefore, the power proportion coefficient α is used to limit the regulation amount that the temperature-controlled load group can provide, so as to obtain the maximum regulation power that the temperature-controlled load group can stably provide. .

[0115] In this embodiment, by introducing the power proportional coefficient α to adjust the regulation power provided by the temperature-controlled load group, the problem of reduced load group heterogeneity and synchronous oscillation caused by excessive regulation power is effectively prevented, thereby ensuring the stability and reliability of the temperature-controlled load group when participating in the grid frequency regulation. This method not only improves the system's management level of distributed resources such as temperature-controlled loads, but also enhances the overall frequency control capability of the grid, ensuring the safe operation of the power system.

[0116] In an exemplary embodiment, the frequency modulation capacity of the electric vehicle group and the frequency modulation capacity of the temperature control load group are aggregated and equivalent to obtain the capacity of the virtual energy storage battery, including:

[0117] According to the following formula, the capacity of the virtual energy storage battery is obtained :

[0118]

[0119] in, is the frequency regulation capacity of the temperature control load group, is the frequency regulation capacity of the electric vehicle group, represents the capacity of the battery of the mth electric car, and M is the number of electric cars.

[0120] Specifically, due to the equivalent SOC of the temperature control load group (i.e. ) is only related to time and has nothing to do with frequency modulation power, so the SOC of the virtual energy storage battery (i.e. ) is only subject to the electric vehicle charging constraint, that is, the following constraint formula:

[0121]

[0122] Among them, SOC agg,min is the lower limit of the virtual battery state of charge, SOC agg,max is the upper limit of the virtual battery state of charge.

[0123] In this embodiment, the capacity of the virtual energy storage battery is formed by aggregating the frequency modulation capacities of the electric vehicle group and the temperature control load group, and taking into account the characteristic that the equivalent state of charge of the temperature control load group only changes with time and is not affected by the frequency modulation power, the state of charge of the virtual energy storage battery is mainly determined by the charging state of the electric vehicle, which effectively integrates the frequency modulation capabilities of different types of distributed energy sources, improves the system's coordinated control level of multiple resources, enhances the frequency regulation capability and flexibility of the power system, simplifies the market transaction process, promotes the deep integration of new energy and traditional power grids, and improves the operating efficiency and economy of the overall power system.

[0124] In an exemplary embodiment, according to the capacity of the virtual energy storage battery and the pre-built coordinated clearing model of the spot market and the frequency regulation ancillary service market, the clearing parameters are determined, including:

[0125] A day-ahead safety constraint unit combination model is established to determine the unit output plan. The objective function of the day-ahead safety constraint unit combination model is:

[0126]

[0127]

[0128]

[0129] in, is the operating cost of unit j in period t and is the startup cost of unit j in period t, there are T periods and J units in total; B is the operating cost of h virtual energy storage batteries in period t, and there are H virtual energy storage batteries in total; j,k,t is the price quoted by the kth section of the jth unit in period t, P j,k,t is the output of the kth section of unit j during period t; u j,t It is a 0-1 variable that constrains the start and stop of the unit; is the capacity of unit j;

[0130] A day-ahead safety-constrained economic dispatch model is established to determine the unit power generation plan for multiple periods and calculate the node electricity price. The objective function of the day-ahead safety-constrained economic dispatch model is:

[0131]

[0132] The clearing in the frequency regulation ancillary service market is sorted according to the comprehensive bids, and the objective function is:

[0133]

[0134] in, Mileage quotes reported for frequency regulation ancillary service providers, is the opportunity cost, AF t is the total cost of frequency regulation ancillary services during period t, The winning bid capacity for frequency regulation of virtual energy storage batteries;

[0135] Based on the clearing parameters, clearing is performed in the frequency regulation ancillary service market, including:

[0136] The frequency regulation ancillary service market will be cleared in order of frequency regulation winning capacity from large to small.

[0137] For example, a day-ahead safety-constrained unit combination model is established to determine the output plan of the generator set, with the goal of minimizing the sum of the operating cost and the startup cost, while taking into account the operating cost of the virtual energy storage battery. In the model, the optimal unit combination scheme is determined by calculating the cost of each unit in each time period (including operating cost and startup cost) and the cost of the virtual energy storage battery. On this basis, a day-ahead safety-constrained economic dispatch model is constructed to further determine the optimal power generation plan of the generator set in multiple future time periods, and calculate the node electricity price based on this to ensure the economic operation of the power system.

[0138] In the frequency regulation ancillary service market, a comprehensive bid ranking method is adopted to determine the bid winner. The comprehensive bid consists of the mileage bid (i.e., the price of providing unit frequency regulation service) and the opportunity cost of the frequency regulation ancillary service provider, the latter of which reflects the loss caused by the inability to participate in other markets due to the provision of frequency regulation services. The optimal frequency regulation service provider is selected by minimizing the total cost of frequency regulation ancillary services, i.e., the total mileage bid plus the total opportunity cost. In the actual clearing process, the order of the winning frequency regulation capacity is from large to small, which means that priority is given to those service providers who can provide larger frequency regulation capacity, thereby ensuring the frequency stability and economy of the power system.

[0139] In this embodiment, by integrating the frequency regulation capabilities of virtual energy storage batteries and traditional generators, and combining the coordinated clearing model of the spot market and the frequency regulation auxiliary service market, the optimal allocation of power generation resources in the power system is effectively achieved, which not only improves the frequency stability of the system, but also ensures the economy of power production by minimizing operating costs and startup costs. At the same time, the frequency regulation tasks are fairly and reasonably allocated using a comprehensive quotation sorting mechanism, which enhances the flexibility and response speed of the system, thereby significantly improving the operational efficiency of the power market and the overall reliability of the power system.

[0140] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0141] Based on the same inventive concept, the embodiment of the present application also provides a device for coordinating and clearing the spot market and the frequency regulation auxiliary service market based on electric vehicle aggregation, which is used to implement the method for coordinating and clearing the spot market and the frequency regulation auxiliary service market based on electric vehicle aggregation. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations of one or more embodiments of the device for coordinating and clearing the spot market and the frequency regulation auxiliary service market based on electric vehicle aggregation provided below can be referred to the limitations of the method for coordinating and clearing the spot market and the frequency regulation auxiliary service market based on electric vehicle aggregation in the above text, and will not be repeated here.

[0142] In an exemplary embodiment, as shown in FIG3 , a coordinated clearing device for a spot market and a frequency regulation auxiliary service market based on electric vehicle aggregation is provided, comprising:

[0143] The electric vehicle group frequency modulation capacity determination module 302 is used to screen out the electric vehicle group that meets the preset electric vehicle screening model and calculate the frequency modulation capacity of the electric vehicle group;

[0144] The frequency regulation capacity determination module 304 of the temperature control load group is used to calculate the frequency regulation capacity of the temperature control load group according to the operating parameters of the temperature control load group and the pre-established temperature control load equivalent thermal parameter model;

[0145] The capacity determination module 306 of the virtual energy storage battery is used to aggregate and equate the frequency modulation capacity of the electric vehicle group and the frequency modulation capacity of the temperature control load group to obtain the capacity of the virtual energy storage battery;

[0146] A clearing parameter determination module 308 is used to determine clearing parameters according to the capacity of the virtual energy storage battery and a pre-built spot market and frequency regulation auxiliary service market coordinated clearing model;

[0147] The clearing module 310 is used to perform clearing in the frequency modulation auxiliary service market based on clearing parameters.

[0148] Each module in the above-mentioned coordinated clearing device for the spot market and frequency regulation auxiliary service market based on electric vehicle aggregation can be implemented in whole or in part through software, hardware and their combination. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the corresponding operations of the above modules.

[0149] In an exemplary embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be shown in FIG4. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store the state of charge data of the electric vehicle group, the operating state data of the temperature control load group and the clearing parameters. The input / output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for coordinated clearing of the spot market and the frequency regulation auxiliary service market based on electric vehicle aggregation is implemented.

[0150] Those skilled in the art will understand that the structure shown in FIG. 4 is merely a block diagram of a partial structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different arrangement of components.

[0151] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above-mentioned method embodiments when executing the computer program.

[0152] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0153] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0154] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0155] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0156] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A coordinated clearing method for spot market and frequency regulation auxiliary service market based on electric vehicle aggregation, characterized in that: The method comprises: Screening out an electric vehicle group that meets a preset electric vehicle screening model, and calculating the frequency modulation capacity of the electric vehicle group; Calculating the frequency modulation capacity of the temperature control load group according to the operating parameters of the temperature control load group and a pre-established temperature control load equivalent thermal parameter model; Aggregate and make equivalent the frequency modulation capacity of the electric vehicle group and the frequency modulation capacity of the temperature control load group to obtain the capacity of the virtual energy storage battery; Determine clearing parameters according to the capacity of the virtual energy storage battery and the pre-constructed coordinated clearing model of the spot market and the frequency regulation ancillary service market; Based on the clearing parameters, clearing is performed in the frequency regulation auxiliary service market.

2. The coordinated clearing method of the spot market and the frequency regulation auxiliary service market based on electric vehicle aggregation according to claim 1 is characterized in that: The EV screening model includes the following expression: in, Indicates the state of charge of the electric vehicle battery at time t; Indicates the charging status of the electric vehicle battery at time t. When it is set to 1, it means that the electric vehicle battery starts to charge; Indicates the charging efficiency of electric vehicle batteries, Indicates the charging power of the electric vehicle battery, Indicates the capacity of the electric vehicle battery. For charging time; is the lower limit of the charging power of electric vehicle batteries, The upper limit of the charging power of electric vehicle batteries, is the lower limit of the state of charge of electric vehicles, It is the upper limit of the state of charge of electric vehicles.

3. The coordinated clearing method of the spot market and the frequency regulation auxiliary service market based on electric vehicle aggregation according to claim 2 is characterized in that: The electric vehicle screening model also includes the following expression: in, is the state of charge expected by the user, is the lower limit of the state of charge that electric vehicles need to meet to participate in frequency regulation. is the upper limit of the state of charge that electric vehicles need to meet to participate in frequency regulation, t e The expected end time of charging for electric vehicles.

4. The coordinated clearing method of the spot market and the frequency regulation auxiliary service market based on electric vehicle aggregation according to claim 1 is characterized in that: The temperature control load equivalent thermal parameter model includes the following expressions: in, is the indoor temperature at time t, T o is the outdoor temperature, C is the equivalent heat capacity of the room, R is the equivalent thermal resistance of the room, s(t) is the switch state of the load, P c =η TCL P TCL is the temperature control load cooling / heating power, where η TCL is the energy consumption ratio, P TCL is the load rated power, T set is the temperature setting value of the temperature control load, δ is the temperature dead zone bandwidth, T low is the lower limit of the indoor temperature when the temperature control load switches on and off, T high is the upper limit of the indoor temperature when the temperature control load switches the switch state, ε t is the infinite time lag, or the simulation time step in case of discrete time simulation; The step of calculating the frequency modulation capacity of the temperature control load group includes: Calculate the aggregate power expectation of all temperature-controlled load groups that meet the following inequality conditions, where the inequality conditions are: in, , and the temperature dead zone of all temperature control load groups is [T min , T max ], N is the number of temperature control load groups, is the average energy consumption ratio, is the average equivalent thermal resistance of the room; The minimum value of the expected aggregate power of all temperature-controlled load groups is taken as the regulation power provided by the temperature-controlled load group. ; The frequency modulation capacity when the temperature control load group is equivalent to a virtual battery is calculated according to the following formula: in, is the frequency modulation capacity when the temperature control load group is equivalent to a virtual battery, The regulating power provided for the temperature control load group, It is the adjustment time of the temperature control load group.

5. The coordinated clearing method of the spot market and the frequency regulation auxiliary service market based on electric vehicle aggregation according to claim 4 is characterized in that: The frequency modulation capacity C when calculating the temperature control load group equivalent to a virtual battery TCL Before the steps, also include: The regulating power provided by the temperature control load group is adjusted according to the following formula , get the maximum regulation power provided by the temperature control load group , and adjust the maximum power As a measure of frequency modulation capacity , where the formula is: Among them, α is the power proportional coefficient, which means the proportion of the regulation power provided by the temperature control load group to the aggregate power of the load group.

6. The coordinated clearing method of the spot market and the frequency regulation auxiliary service market based on electric vehicle aggregation according to claim 1 is characterized in that: The frequency modulation capacity of the electric vehicle group and the frequency modulation capacity of the temperature control load group are aggregated and equivalent to obtain the capacity of the virtual energy storage battery, including: According to the following formula, the capacity of the virtual energy storage battery is obtained : in, is the frequency regulation capacity of the temperature control load group, is the frequency regulation capacity of the electric vehicle group, represents the capacity of the battery of the mth electric car, and M is the number of electric cars.

7. The coordinated clearing method of the spot market and the frequency regulation auxiliary service market based on electric vehicle aggregation according to claim 1 is characterized in that: Determining the clearing parameters according to the capacity of the virtual energy storage battery and the pre-built spot market and frequency regulation ancillary service market coordinated clearing model includes: A day-ahead safety constraint unit combination model is established to determine the unit output plan, wherein the objective function of the day-ahead safety constraint unit combination model is: in, is the operating cost of unit j in period t and is the startup cost of unit j in period t, there are T periods and J units in total; B is the operating cost of h virtual energy storage batteries in period t, and there are H virtual energy storage batteries in total; j,k,t is the price quoted by the kth section of the jth unit in period t, P j,k,t is the output of the kth section of unit j during period t; u j,t It is a 0-1 variable that constrains the start and stop of the unit; is the capacity of unit j; A day-ahead safety-constrained economic dispatch model is established to determine the unit power generation plan for multiple periods and calculate the node electricity price. The objective function of the day-ahead safety-constrained economic dispatch model is: The clearing in the frequency regulation ancillary service market is sorted according to the comprehensive bids, and the objective function is: in, Mileage quotes reported for frequency regulation ancillary service providers, is the opportunity cost, AF t is the total cost of frequency regulation ancillary services during period t, The winning bid capacity for frequency regulation of virtual energy storage batteries; The clearing in the frequency modulation auxiliary service market based on the clearing parameter includes: The frequency regulation ancillary service market will be cleared in order from large to small according to the frequency regulation winning bid capacities.

8. A coordinated clearing device for spot market and frequency regulation auxiliary service market based on electric vehicle aggregation, characterized in that: The device comprises: The module for determining the frequency modulation capacity of the electric vehicle group is used to screen out the electric vehicle group that meets the preset electric vehicle screening model and calculate the frequency modulation capacity of the electric vehicle group; A frequency regulation capacity determination module for a temperature control load group, used to calculate the frequency regulation capacity of the temperature control load group according to the operating parameters of the temperature control load group and a pre-established temperature control load equivalent thermal parameter model; A capacity determination module for a virtual energy storage battery, used to aggregate and equate the frequency modulation capacity of the electric vehicle group and the frequency modulation capacity of the temperature control load group to obtain the capacity of the virtual energy storage battery; A clearing parameter determination module, used to determine the clearing parameters according to the capacity of the virtual energy storage battery and a pre-built spot market and frequency regulation auxiliary service market coordinated clearing model; A clearing module is used to perform clearing in the frequency regulation auxiliary service market based on the clearing parameters.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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