Distribution method and device for reserve capacity of power system and electronic equipment

Abstract

The invention provides a power system reserve capacity distribution method and device and electronic equipment. The method comprises the following steps: acquiring the maximum demand capacity of each target area in the power system; structural parameters of each target area are obtained, the standby cost and the maximum available capacity of each generator set in each target area are determined according to the structural parameters, and the structural parameters are electrical parameters representing the structure of the power system; and determining a constraint condition at least according to the maximum demand capacity and the maximum available capacity, constructing an objective function according to the reserve cost, solving the objective function under the constraint condition to obtain the reserve capacity of each generator set, and performing capacity distribution on the power system according to the reserve capacity. Through the method and the device, the problem that the economical efficiency of system operation cannot be ensured because the reserve capacity of the power system is distributed according to a fixed proportion and cannot be distributed according to the structural characteristics of the system in the prior art is solved.

Description

Technical Field

[0001] The present application relates to the technical field of power system capacity allocation, and in particular to a method for allocating spare capacity of a power system, an apparatus for allocating spare capacity of a power system, a computer-readable storage medium, and an electronic device. Background Art

[0002] In the operation of traditional power systems, the reserve demand is considered by region and is mainly determined according to the load level in the region. At the same time, the reserve capacity of each region is self-sufficient, and there is a lack of reserve mutual assistance and support between different regions. In terms of the allocation of reserve capacity of generator sets, each generator set is allocated according to the ratio of regional reserve demand to load. With the continuous increase in the proportion of new energy in the system, in addition to meeting the load fluctuation, the uncertainty of new energy operation also increases a large number of additional reserve demands. In addition, the reliability of operation of different types of units and the cost of providing reserve are not the same. Allocating reserve according to a fixed ratio cannot guarantee the reliability and economy of system operation.

[0003] Therefore, in order to improve the refinement of system backup allocation, it is necessary to allocate the backup capacity of the power system in combination with the system structure characteristics, give full play to the role of mutual assistance between multi-regional systems, and centrally and uniformly optimize the backup capacity undertaken by generators in each region to ensure the economy and reliability of multi-regional system operation. Summary of the invention

[0004] The main purpose of the present application is to provide a method for allocating reserve capacity of an electric power system, an apparatus for allocating reserve capacity of an electric power system, a computer-readable storage medium and an electronic device, so as to at least solve the problem in the prior art that the reserve capacity of the electric power system is allocated according to a fixed ratio and cannot be allocated according to the system structure characteristics, thereby failing to ensure the economy of the system operation.

[0005] In order to achieve the above-mentioned purpose, according to one aspect of the present application, a method for allocating reserve capacity of an electric power system is provided, comprising: obtaining the maximum demand capacity of each target area in the electric power system, wherein the electric power system includes multiple target areas, and each target area includes at least a generator set and a load; obtaining structural parameters of each target area, and determining the reserve cost and the maximum available capacity of each generator set in each target area according to the structural parameters, wherein the structural parameters are electrical parameters characterizing the structure of the electric power system; determining constraints at least according to the maximum demand capacity and the maximum available capacity, constructing an objective function according to the reserve cost, solving the objective function under the constraints, obtaining the reserve capacity of each generator set, and allocating capacity of the electric power system according to the reserve capacity.

[0006] Optionally, obtaining the maximum demand capacity of each target area in the power system includes: obtaining the predicted output power of the wind turbines and the predicted output power of the photovoltaic units in each of the target areas, obtaining the predicted demand power of the loads in the target areas, and determining the reliability capacity; according to the formula Determine the maximum required capacity, where R i represents the maximum required capacity of target area i, represents the predicted output power of the wind turbine in the target area i, represents the predicted output power of the photovoltaic group in the target area i, D i represents the predicted required power of the load in target area i, r i is the reliability capacity of the target area i, α represents the reserve factor of the wind turbine group, β represents the reserve factor of the photovoltaic group, γ represents the reserve factor of the load, and the reserve factor is a coefficient that characterizes the volatility of the predicted output power or the predicted demand power.

[0007] Optionally, determining the reliability capacity includes: obtaining the installed capacity of each of the generator sets and the transmission capacity of each transmission line; and determining the largest capacity of each of the installed capacities and each of the transmission capacities as the reliability capacity.

[0008] Optionally, determining the standby cost and the maximum available capacity of each generator set in each target area according to the structural parameters includes: according to formula c RC,n,i =R G,n,i ·p RC,n,i Determine the capacity cost in the backup cost and calculate it according to the formula Determine the electricity cost in the backup cost, where R G,n,i is the spare capacity of the nth generator set in the target area i, p RC,n,i is the capacity electricity price of the nth generator set in the target area i, p RE,n,i is the electricity price of the nth generator set in the target area i, is the probability that the reserve capacity is called, c RC,n,i is the capacity cost of the spare capacity, c RE,n,i is the electricity cost of the backup capacity; according to the formula Determine the maximum available capacity, wherein: is the maximum available capacity of the nth generator set in the target area i, CA G,n,i is the installed capacity of the nth generator set in the target area i, P G,n,i The day-ahead planned power generation of the n-th generator set in the target area i.

[0009] Optionally, determining the constraint condition at least according to the maximum required capacity and the maximum available capacity includes: determining according to the formula Capacity balance constraint, where R i represents the total spare capacity provided by the target area i, R G,n,i is the spare capacity of the nth generator set in the target area i, R L,m,i represents the spare capacity of transmission line m in target area i, R req,i represents the required spare capacity of the target area i, is the maximum available capacity of the nth generator set in the target area i, N G,i represents the total number of the generator sets providing the backup capacity in the target area i, N L,i represents the total number of transmission lines supported by the target area i with spare capacity, is the remaining available capacity of the transmission line m.

[0010] Optionally, determining the constraint condition at least according to the maximum required capacity and the maximum available capacity further comprises: Determine the transmission capacity constraint condition of the transmission line, wherein each of the target areas also includes the transmission line, L m,max is the maximum transmission capacity of the transmission line m, L m The transmission capacity occupied by the power transmission and receiving plan between the target areas, is the remaining available capacity of the transmission line m.

[0011] Optionally, constructing an objective function according to the standby cost includes: constructing an objective function according to the standby cost by formula Construct the objective function, where c RC,n,i is the capacity cost of the spare capacity, c RE,n,i is the electricity cost of the backup capacity, C Rreq represents the total standby cost, N R Indicates the number of generator sets.

[0012] According to another aspect of the present application, a device for allocating reserve capacity of an electric power system is provided, comprising: an acquisition unit, used to acquire the maximum demand capacity of each target area in the electric power system, wherein the electric power system includes multiple target areas, and each target area includes at least a generator set and a load; a determination unit, used to acquire structural parameters of each target area, and determine the reserve cost and maximum available capacity of each generator set in each target area according to the structural parameters, wherein the structural parameters are electrical parameters characterizing the structure of the electric power system; an allocation unit, used to determine constraints based on at least the maximum demand capacity and the maximum available capacity, construct an objective function based on the reserve cost, solve the objective function under the constraints, obtain the reserve capacity of each generator set, and allocate capacity of the electric power system according to the reserve capacity.

[0013] According to another aspect of the present application, there is provided a computer-readable storage medium including a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute any one of the methods for allocating reserve capacity of a power system.

[0014] According to another aspect of the present application, an electronic device is provided, comprising: one or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and are configured to be executed by the one or more processors, and the one or more programs include a method for executing any one of the methods for allocating reserve capacity of a power system.

[0015] Apply the technical solution of the present application to obtain the maximum demand capacity of each target area in the power system, wherein the power system includes multiple target areas, each target area includes at least a generator set and a load; obtain the structural parameters of each target area, and determine the backup cost and the maximum available capacity of each generator set in each target area according to the structural parameters, wherein the structural parameters are electrical parameters that characterize the operating characteristics of the power system; determine the constraints at least according to the maximum demand capacity and the maximum available capacity, construct the objective function according to the backup cost, solve the objective function under the constraint conditions, obtain the backup capacity of each generator set, and allocate the capacity of the power system according to the backup capacity. Compared with the prior art, in which the backup capacity of the power system is allocated according to a fixed ratio and cannot be allocated according to the system structure characteristics, and thus cannot guarantee the economy of the system operation, the present application can flexibly allocate the backup capacity according to different structures through the constructed objective function and constraint conditions, thereby improving the economy of the power system operation. Therefore, it can solve the problem that the backup capacity of the power system in the prior art cannot be flexibly allocated, and achieve the effect of improving the economy of the power system operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The drawings constituting part of the present application are used to provide a further understanding of the present application. The exemplary embodiments and descriptions of the present application are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0017] Figure 1 A hardware structure block diagram of a mobile terminal for executing a method for allocating reserve capacity of a power system provided in an embodiment of the present application is shown;

[0018] Figure 2 A schematic diagram of a flow chart of a method for allocating reserve capacity of a power system provided in an embodiment of the present application is shown;

[0019] Figure 3 A structural block diagram of a device for allocating spare capacity of a power system provided in an embodiment of the present application is shown.

[0020] The above drawings include the following reference numerals:

[0021] 102, processor; 104, memory; 106, transmission device; 108, input and output devices. DETAILED DESCRIPTION

[0022] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0023] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0024] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present application described here. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0025] As introduced in the background technology, in the prior art, the reserve capacity of the power system is allocated according to a fixed ratio, and cannot be allocated according to the system structure characteristics, and thus cannot ensure the economy of the system operation. In order to solve the problem that the remaining capacity of the power system cannot be flexibly allocated, the embodiments of the present application provide a method for allocating the reserve capacity of a power system, a device for allocating the reserve capacity of a power system, a computer-readable storage medium and an electronic device.

[0026] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0027] The method embodiments provided in the embodiments of the present application can be executed in a mobile terminal, a computer terminal or a similar computing device. Taking running on a mobile terminal as an example, Figure 1 FIG. 1 is a hardware structure block diagram of a mobile terminal of a method for allocating backup capacity of a power system according to an embodiment of the present invention. Figure 1 As shown, the mobile terminal may include one or more ( Figure 1 Only one is shown in the figure) a processor 102 (the processor 102 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA) and a memory 104 for storing data, wherein the mobile terminal may also include a transmission device 106 and an input / output device 108 for communication functions. It can be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the mobile terminal. Figure 1 More or fewer components as shown, or with Figure 1 Different configurations are shown.

[0028] The memory 104 can be used to store computer programs, for example, software programs and modules of application software, such as the computer program corresponding to the method for allocating the reserve capacity of the power system in the embodiment of the present invention. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, that is, the above method is implemented. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory remotely arranged relative to the processor 102, and these remote memories can be connected to the mobile terminal via a network. Examples of the above-mentioned network include but are not limited to the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof. The transmission device 106 is used to receive or send data via a network. The above-mentioned specific examples of the network may include a wireless network provided by a communication provider of the mobile terminal. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, referred to as NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 may be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0029] In this embodiment, a method for allocating reserve capacity of an electric power system running on a mobile terminal, a computer terminal or a similar computing device is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0030] Figure 2 FIG. 1 is a flow chart of a method for allocating backup capacity of a power system according to an embodiment of the present application. Figure 2 As shown, the method comprises the following steps:

[0031] Step S201, obtaining the maximum demand capacity of each target area in the power system, wherein the power system includes a plurality of the target areas, and each of the target areas includes at least a generator set and a load;

[0032] Specifically, this embodiment allocates the reserve capacity of the multi-regional power system to give full play to the role of mutual assistance between regions in the multi-regional system, and realizes centralized and unified optimization of the reserve capacity undertaken by the generator sets in each region to ensure the economy and reliability of the operation of the multi-regional system. Therefore, the entire power system is divided into multiple target areas, each of which includes at least generator sets and loads, and may also include transmission lines, etc. The maximum demand capacity can be determined in combination with the power structure, grid and other characteristics of each target area.

[0033] Step S202, obtaining structural parameters of each of the target areas, and determining the backup cost and the maximum available capacity of each of the generator sets in each of the target areas according to the structural parameters, wherein the structural parameters are electrical parameters that characterize the structure of the power system;

[0034] Specifically, the structural parameters of each target area may be operating characteristic parameters and power generation indicators of the generator set, etc. The standby cost and the maximum standby capacity that can be provided for each generator set may be determined based on the above indicators.

[0035] Step S203, determining constraints at least based on the maximum demand capacity and the maximum available capacity, constructing an objective function based on the backup cost, solving the objective function under the constraints, obtaining the backup capacity of each of the generator sets, and allocating capacity to the power system according to the backup capacity.

[0036] Specifically, taking the minimization of the reserve cost in the whole region as the optimization goal, the above objective function is constructed. The objective function and the constraint conditions constitute the reserve capacity allocation optimization model of the multi-regional power system, which is then solved to obtain the reserve capacity and allocate it.

[0037] Through this embodiment, the maximum demand capacity of each target area in the power system is obtained, wherein the power system includes multiple target areas, each target area includes at least a generator set and a load; the structural parameters of each target area are obtained, and the backup cost and the maximum available capacity of each generator set in each target area are determined according to the structural parameters, wherein the structural parameters are electrical parameters that characterize the operating characteristics of the power system; at least the constraint conditions are determined according to the maximum demand capacity and the maximum available capacity, the objective function is constructed according to the backup cost, the objective function is solved under the constraint conditions, the backup capacity of each generator set is obtained, and the capacity of the power system is allocated according to the backup capacity. Compared with the prior art, the backup capacity of the power system is allocated according to a fixed ratio, and it cannot be allocated according to the system structure characteristics, and thus the economy of the system operation cannot be guaranteed. The objective function and constraint conditions constructed in this application can flexibly allocate the backup capacity according to different structures, thereby improving the economy of the power system operation. Therefore, it can solve the problem that the backup capacity of the power system in the prior art cannot be flexibly allocated, and achieve the effect of improving the economy of the power system operation.

[0038] In the specific implementation process, the above step S201 obtains the maximum demand capacity of each target area in the power system, which can be achieved by the following steps: Step S2011: obtain the predicted output power of the wind turbines and the predicted output power of the photovoltaic units in each of the above target areas, obtain the predicted demand power of the loads in the above target areas, and determine the reliability capacity; Step S2012: according to the formula Determine the maximum required capacity above, where R i represents the maximum required capacity of target area i, represents the predicted output power of the wind turbine in the target area i, represents the predicted output power of the PV unit in the target area i, D i represents the predicted required power of the above load in target area i, r i is the reliability capacity of the target area i, α represents the reserve factor of the wind turbine, β represents the reserve factor of the photovoltaic unit, γ represents the reserve factor of the load, and the reserve factor is a coefficient that characterizes the volatility of the predicted output power or the predicted demand power. The method determines the maximum demand capacity through the above steps, so that the maximum demand capacity can be accurately determined.

[0039] Specifically, the predicted output power of wind turbines and photovoltaic units in each target area is obtained, and the predicted demand power is obtained. According to the maximum generator capacity and the transmission capacity of the maximum transmission line in each area, the larger value is taken as the maximum single fault capacity of the area, which is recorded as the reliability capacity r of the area.i , further according to the reliability capacity r i Determine the maximum demand capacity, where the reserve factor can be determined based on the volatility of wind power, photovoltaic power and load and the day-ahead forecast error.

[0040] In some optional implementations, step S2011 determines the reliability capacity, which can be achieved by the following steps: obtaining the installed capacity of each of the above-mentioned generator sets and the transmission capacity of each transmission line; determining the maximum capacity of each of the above-mentioned installed capacity and each of the above-mentioned transmission capacity as the above-mentioned reliability capacity. The method determines the reliability capacity, that is, the maximum capacity, through the above steps to avoid the problem of exceeding the maximum capacity of the target area.

[0041] In the specific implementation process, the larger value of the two is taken as the maximum single fault capacity of the area, and the maximum single fault capacity is recorded as the reliability capacity of the area. Among them, r i is the reliability capacity of target area i, P j,max is the installed capacity of the jth generator set, L k,max is the maximum transmission capacity of the kth transmission line, J i is the number of generator sets in region i, K i is the total number of transmission lines in region i.

[0042] In some other optional implementations, the above step S202 determines the backup cost and the maximum available capacity of each generator set in each target area according to the above structural parameters, which can be achieved by the following steps: According to formula c RC,n,i =R G,n,i ·p RC,n,i Determine the capacity cost in the above backup cost and use the formula Determine the electricity cost in the above backup cost, where R G,n,i is the reserve capacity of the nth generator set in the target area i, p RC,n,i is the capacity electricity price of the nth generator set in the target area i, p RE,n,i is the electricity price of the nth generator set in the target area i, is the probability that the above reserve capacity is called, c RC,n,i is the capacity cost of the above spare capacity, c RE,n,i is the electricity cost of the above backup capacity; according to the formula Determine the maximum available capacity, where: is the maximum available capacity of the nth generator set in the target area i, CA G,n,i is the installed capacity of the nth generator set in the target area i, P G,n,iis the planned power generation of the nth generator set in the target area i. The method can accurately determine the maximum backup capacity and corresponding backup cost that the generator set can provide through the above steps, thereby ensuring the economical operation of the generator set.

[0043] In the specific implementation process, the maximum available spare capacity of the generator set, that is, the maximum available capacity mentioned above, is determined according to the day-ahead power generation plan of the generator set. The calculation formula is as follows: The calculation formula is as follows. The reserve cost of the generator set is calculated based on the capacity cost and the electricity cost, where the capacity cost is calculated based on the capacity electricity price of the unit and the electricity cost is calculated based on the actual capacity called. Since the actual reserve capacity called is related to the actual forecast error and fluctuation of the new energy and load within the day, it is necessary to estimate the reserve capacity called within the day when allocating the reserve on the day before.

[0044] In some optional implementations, the above step S203 determines the constraint condition at least according to the above maximum required capacity and the above maximum available capacity, which can be implemented by the following steps: Determine according to the formula Capacity balance constraint, where R i represents the sum of the spare capacity provided by the target area i, R G,n,i is the spare capacity of the nth generator set in the target area i, R L,m,i represents the spare capacity of transmission line m in target area i, R req,i represents the reserve required capacity of the target area i, is the maximum available capacity of the nth generator set in the target area i, N G,i N represents the total number of the above-mentioned generator sets providing the above-mentioned backup capacity in the above-mentioned target area i, L,i represents the total number of the above transmission lines that provide backup capacity support for the above target area i, is the remaining available capacity of the transmission line m. The method determines the constraint conditions through the above steps, so that the objective function can be solved under the above constraint conditions to obtain the capacity allocation suitable for the target area.

[0045] In the specific implementation process, the reserve demand balance constraint in each target area is considered, where the reserve capacity of each target area is composed of the reserve capacity provided by the generator sets in the area and the reserve capacity support provided by the interconnection lines between regions, and the capacity balance constraint condition is obtained. In the actual application process, in addition to the capacity balance constraint condition, the transmission capacity constraint condition of the transmission line is also included.

[0046] In some optional implementations, the above step S203 determines the constraint condition at least according to the above maximum required capacity and the above maximum available capacity, and further includes the following steps: according to the formula Determine the transmission capacity constraint of the transmission line, wherein each of the above target areas also includes the above transmission line, L m,max is the maximum transmission capacity of the transmission line m, L m The transmission capacity occupied by the power transmission and reception plan between the above target areas, is the remaining available capacity of the transmission line m. The method determines the transmission capacity constraint of the transmission line through the above steps, so that the objective function can be solved under the transmission capacity constraint and the capacity balance constraint to obtain a more accurate capacity allocation result.

[0047] In the specific implementation process, the transmission capacity constraint of the inter-regional interconnection line is taken into consideration, and the remaining available transmission capacity of the inter-regional interconnection line is determined as the backup cross-regional transmission constraint. Among them, the remaining available transmission capacity refers to the remaining transmission capacity of the interconnection line after the inter-regional power transmission and reception plan is determined a day ago.

[0048] In some optional implementations, constructing an objective function based on the above standby cost can be achieved by the following steps: Based on the above standby cost, the formula Construct the objective function, where c RC,n,i is the capacity cost of the above spare capacity, c RE,n,i is the electricity cost of the above backup capacity, C Rreq represents the total standby cost, N R The method constructs an objective function through the above steps, taking into account the electricity cost and capacity cost, so as to more accurately calculate the cost required for the above backup capacity.

[0049] Specifically, taking the minimum reserve cost of the whole region as the optimization objective, the reserve allocation optimization model of the multi-regional power system is solved to obtain the reserve capacity allocated to each generator set.

[0050] In order to enable those skilled in the art to more clearly understand the technical solution of the present application, the implementation process of the method for allocating reserve capacity of the power system of the present application will be described in detail below in combination with specific embodiments.

[0051] This embodiment relates to a specific method for allocating reserve capacity of a power system, comprising the following steps:

[0052] Step S1: According to the installed capacity of the largest generator set and the transmission capacity of the largest transmission line in each target area, the larger value of the two is taken as the maximum single fault capacity of the area, which is recorded as the reliability reserve demand (reliability capacity) of the area. Among them, r i is the reliability capacity of target area i, P j,max is the installed capacity of the jth generator set, L k,max is the maximum transmission capacity of the kth transmission line, J i is the number of generator sets in region i, K i is the total number of transmission lines in region i;

[0053] Step S2: According to the formula Determine the maximum required capacity above, where R i represents the maximum required capacity of target area i, represents the predicted output power of the wind turbine in the target area i, represents the predicted output power of the PV unit in the target area i, D i represents the predicted required power of the above load in target area i, r i is the reliability capacity of the target area i, α represents the reserve factor of the wind turbine, β represents the reserve factor of the photovoltaic unit, γ represents the reserve factor of the load, and the reserve factor is a coefficient that characterizes the volatility of the predicted output power or the predicted demand power;

[0054] Step S3: The maximum available reserve capacity of the generator set is determined according to the day-ahead power generation plan of the generator set. Its maximum available reserve capacity (maximum available capacity) can be expressed by the following formula: in, is the maximum available capacity of the nth generator set in the target area i, CA G,n,i is the installed capacity of the nth generator set in the target area i, P G,n,i is the planned power generation capacity of the nth generator set in the target area i;

[0055] Step S4: The reserve cost of the generator set is calculated according to the capacity cost and the electricity cost, where the capacity cost is calculated according to the capacity electricity price of the unit, and the electricity cost is calculated according to the actual capacity called. Since the actual reserve capacity called is related to the actual forecast error and fluctuation of the new energy and load within the day, it is necessary to estimate the reserve capacity called within the day when performing the day-ahead reserve allocation. The capacity cost and electricity cost can be expressed by the following formula: Among them, R G,n,i is the reserve capacity of the nth generator set in the target area i, p RC,n,i is the capacity electricity price of the nth generator set in the target area i, p RE,n,i is the electricity price of the nth generator set in the target area i, is the probability that the above reserve capacity is called, c RC,n,i is the capacity cost of the above spare capacity, c RE,n,i is the electricity cost of the above-mentioned reserve capacity;

[0056] Step S5: Determine the constraint conditions: The capacity balance constraint conditions are The transmission capacity constraint of the transmission line is Among them, R i represents the sum of the spare capacity provided by the target area i, R G,n,i is the spare capacity of the nth generator set in the target area i, R L,m,i represents the spare capacity of transmission line m in target area i, R req,i represents the reserve required capacity of the target area i, is the maximum available capacity of the nth generator set in the target area i, N G,i N represents the total number of the above-mentioned generator sets providing the above-mentioned backup capacity in the above-mentioned target area i, L,i represents the total number of the above transmission lines that provide backup capacity support for the above target area i, is the remaining available capacity of the transmission line m, each of the target areas also includes the transmission line, L m,max is the maximum transmission capacity of the transmission line m, L m The transmission capacity occupied by the power transmission and reception plan between the above target areas, is the remaining available capacity of the above transmission line m;

[0057] Step S6: Constructing the objective function Among them, c RC,n,i is the capacity cost of the above spare capacity, c RE,n,i is the electricity cost of the above backup capacity, C Rreq represents the total standby cost;

[0058] Step S7: By solving the linear programming model of the optimization target composed of the objective function and the constraint conditions, the spare capacity R allocated to each generator set in each area can be obtained. G,n,i .

[0059] The embodiment of the present application also provides a device for allocating spare capacity of an electric power system. It should be noted that the device for allocating spare capacity of an electric power system in the embodiment of the present application can be used to execute the method for allocating spare capacity of an electric power system provided in the embodiment of the present application. The device is used to implement the above-mentioned embodiments and preferred implementation modes, and those that have been described will not be repeated. As used below, the term "module" can implement a combination of software and / or hardware for a predetermined function. Although the device described in the following embodiments is preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceived.

[0060] The following is an introduction to the device for allocating spare capacity of a power system provided in an embodiment of the present application.

[0061] Figure 3 Schematic diagram of a device for distributing backup capacity of a power system according to an embodiment of the present application. Figure 3 As shown, the device comprises:

[0062] An acquisition unit 10 is used to acquire the maximum demand capacity of each target area in the power system, wherein the power system includes a plurality of the target areas, and each of the target areas includes at least a generator set and a load;

[0063] Specifically, this embodiment allocates the reserve capacity of the multi-regional power system to give full play to the role of mutual assistance between regions in the multi-regional system, and realizes centralized and unified optimization of the reserve capacity undertaken by the generator sets in each region to ensure the economy and reliability of the operation of the multi-regional system. Therefore, the entire power system is divided into multiple target areas, each of which includes at least generator sets and loads, and may also include transmission lines, etc. The maximum demand capacity can be determined in combination with the power structure, grid and other characteristics of each target area.

[0064] The determination unit 20 is used to obtain the structural parameters of each of the target areas, and determine the backup cost and the maximum available capacity of each of the generator sets in each of the target areas according to the structural parameters, wherein the structural parameters are electrical parameters that characterize the structure of the power system;

[0065] Specifically, the structural parameters of each target area may be operating characteristic parameters and power generation indicators of the generator set, etc. The standby cost and the maximum standby capacity that can be provided for each generator set may be determined based on the above indicators.

[0066] The allocation unit 30 is used to determine the constraint conditions at least based on the above-mentioned maximum demand capacity and the above-mentioned maximum available capacity, construct an objective function according to the above-mentioned backup cost, solve the above-mentioned objective function under the above-mentioned constraint conditions, obtain the backup capacity of each of the above-mentioned generator sets, and allocate the capacity of the above-mentioned power system according to the above-mentioned backup capacity.

[0067] Specifically, taking the minimization of the reserve cost in the whole region as the optimization goal, the above objective function is constructed. The objective function and the constraint conditions constitute the reserve capacity allocation optimization model of the multi-regional power system, which is then solved to obtain the reserve capacity and allocate it.

[0068] Through this embodiment, the maximum demand capacity of each target area in the power system is obtained, wherein the power system includes multiple target areas, each target area includes at least a generator set and a load; the structural parameters of each target area are obtained, and the backup cost and the maximum available capacity of each generator set in each target area are determined according to the structural parameters, wherein the structural parameters are electrical parameters that characterize the operating characteristics of the power system; at least the constraint conditions are determined according to the maximum demand capacity and the maximum available capacity, the objective function is constructed according to the backup cost, the objective function is solved under the constraint conditions, the backup capacity of each generator set is obtained, and the capacity of the power system is allocated according to the backup capacity. Compared with the prior art, the backup capacity of the power system is allocated according to a fixed ratio, and it cannot be allocated according to the system structure characteristics, and thus the economy of the system operation cannot be guaranteed. The objective function and constraint conditions constructed in this application can flexibly allocate the backup capacity according to different structures, thereby improving the economy of the power system operation. Therefore, it can solve the problem that the backup capacity of the power system in the prior art cannot be flexibly allocated, and achieve the effect of improving the economy of the power system operation.

[0069] In the specific implementation process, the acquisition unit includes a first determination module and a second determination module. The first determination module is used to obtain the predicted output power of the wind turbines and the predicted output power of the photovoltaic units in each of the above target areas, obtain the predicted demand power of the load in the above target area, and determine the reliability capacity; the second determination module is used to determine the reliability capacity according to the formula Determine the maximum required capacity above, where R i represents the maximum required capacity of target area i, represents the predicted output power of the wind turbine in the target area i, represents the predicted output power of the PV unit in the target area i, D i represents the predicted required power of the above load in target area i, r i is the reliability capacity of the target area i, α represents the reserve factor of the wind turbine, β represents the reserve factor of the photovoltaic unit, γ represents the reserve factor of the load, and the reserve factor is a coefficient that characterizes the volatility of the predicted output power or the predicted demand power. The device determines the maximum demand capacity through the above steps, so that the maximum demand capacity can be accurately determined.

[0070] Specifically, the predicted output power of wind turbines and photovoltaic units in each target area is obtained, and the predicted demand power is obtained. According to the maximum generator capacity and the transmission capacity of the maximum transmission line in each area, the larger value is taken as the maximum single fault capacity of the area, which is recorded as the reliability capacity r of the area. i , further according to the reliability capacity r i Determine the maximum demand capacity, where the reserve factor can be determined based on the volatility of wind power, photovoltaic power and load and the day-ahead forecast error.

[0071] In some optional embodiments, the first determination module includes an acquisition submodule and a determination submodule, the acquisition submodule is used to acquire the installed capacity of each of the above-mentioned generator sets and the transmission capacity of each transmission line; the determination submodule is used to determine the maximum capacity of each of the above-mentioned installed capacity and each of the above-mentioned transmission capacity as the above-mentioned reliability capacity. The device determines the reliability capacity, that is, the maximum capacity, through the above steps to avoid the problem of exceeding the maximum capacity of the target area.

[0072] In the specific implementation process, the larger value of the two is used as the maximum single fault capacity of the area.

[0073] r i =max(P j,max ,L k,max ) The failure capacity is recorded as the reliability capacity of the region j∈{0,1,...,J i},k∈{0,1,...,K i}, where r i is the reliability capacity of target area i, P j,max is the installed capacity of the jth generator set, L k,max is the maximum transmission capacity of the kth transmission line, J i is the number of generator sets in region i, K i is the total number of transmission lines in region i.

[0074] In some other optional implementations, the above-mentioned determination unit includes a third determination module and a fourth determination module, and the third determination module is used to determine the value of the formula c according to the formula c. RC,n,i =R G,n,i ·p RC,n,i Determine the capacity cost in the above backup cost and use the formula Determine the electricity cost in the above backup cost, where R G,n,i is the reserve capacity of the nth generator set in the target area i, p RC,n,i is the capacity electricity price of the nth generator set in the target area i, p RE,n,iis the electricity price of the nth generator set in the target area i, is the probability that the above reserve capacity is called, c RC,n,i is the capacity cost of the above spare capacity, c RE,n,i is the electricity cost of the above-mentioned backup capacity; the fourth determination module is used to determine the power cost of the above-mentioned backup capacity according to the formula Determine the maximum available capacity, where: is the maximum available capacity of the nth generator set in the target area i, CA G,n,i is the installed capacity of the nth generator set in the target area i, P G,n,i is the planned power generation of the nth generator set in the target area i. The device can accurately determine the maximum spare capacity and corresponding spare cost that the generator set can provide through the above steps, so as to ensure the economical operation of the generator set.

[0075] In the specific implementation process, the maximum available spare capacity of the generator set, that is, the maximum available capacity mentioned above, is determined according to the day-ahead power generation plan of the generator set. The calculation formula is as follows: The calculation formula is as follows. The reserve cost of the generator set is calculated based on the capacity cost and the electricity cost, where the capacity cost is calculated based on the capacity electricity price of the unit and the electricity cost is calculated based on the actual capacity called. Since the actual reserve capacity called is related to the actual forecast error and fluctuation of the new energy and load within the day, it is necessary to estimate the reserve capacity called within the day when allocating the reserve on the day before.

[0076] In some optional implementations, the allocation unit includes a fifth determination module for determining according to the formula Capacity balance constraint, where R i represents the sum of the spare capacity provided by the target area i, R G,n,i is the spare capacity of the nth generator set in the target area i, R L,m,i represents the spare capacity of transmission line m in target area i, R req,i represents the reserve required capacity of the target area i, is the maximum available capacity of the nth generator set in the target area i, N G,i N represents the total number of the above-mentioned generator sets providing the above-mentioned backup capacity in the above-mentioned target area i, L,i represents the total number of the above transmission lines that provide backup capacity support for the above target area i, is the remaining available capacity of the transmission line m. The device determines the constraint conditions through the above steps, so that the objective function can be solved under the above constraint conditions to obtain the capacity allocation suitable for the target area.

[0077] In the specific implementation process, the reserve demand balance constraint in each target area is considered, where the reserve capacity of each target area is composed of the reserve capacity provided by the generator sets in the area and the reserve capacity support provided by the interconnection lines between regions, and the capacity balance constraint condition is obtained. In the actual application process, in addition to the capacity balance constraint condition, the transmission capacity constraint condition of the transmission line is also included.

[0078] In some optional implementations, the allocation unit further includes a sixth determination module for determining, according to the formula Determine the transmission capacity constraint of the transmission line, wherein each of the above target areas also includes the above transmission line, L m,max is the maximum transmission capacity of the transmission line m, L m The transmission capacity occupied by the power transmission and reception plan between the above target areas, is the remaining available capacity of the transmission line m. The device determines the transmission capacity constraint of the transmission line through the above steps, so that the objective function can be solved under the transmission capacity constraint and capacity balance constraint to obtain a more accurate capacity allocation result.

[0079] In the specific implementation process, the transmission capacity constraint of the inter-regional interconnection line is taken into consideration, and the remaining available transmission capacity of the inter-regional interconnection line is determined as the backup cross-regional transmission constraint. Among them, the remaining available transmission capacity refers to the remaining transmission capacity of the interconnection line after the inter-regional power transmission and reception plan is determined a day ago.

[0080] In some optional embodiments, the allocation unit further includes a building module for calculating the standby cost by formula Construct the objective function, where c RC,n,i is the capacity cost of the above spare capacity, c RE,n,i is the electricity cost of the above backup capacity, C Rreq represents the total standby cost, N R The device constructs an objective function through the above steps, taking into account the electricity cost and capacity cost, so as to more accurately calculate the cost required for the above backup capacity.

[0081] Specifically, taking the minimum reserve cost of the whole region as the optimization objective, the reserve allocation optimization model of the multi-regional power system is solved to obtain the reserve capacity allocated to each generator set.

[0082] The above-mentioned power system reserve capacity allocation device includes a processor and a memory, and the above-mentioned acquisition unit, determination unit and allocation unit are all stored in the memory as program units, and the processor executes the above-mentioned program units stored in the memory to realize the corresponding functions. The above-mentioned modules are all located in the same processor; or, the above-mentioned modules are located in different processors in the form of any combination.

[0083] The processor includes a kernel, which calls the corresponding program unit from the memory. One or more kernels can be set, and the allocation of the reserve capacity of the power system is achieved by adjusting the kernel parameters.

[0084] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0085] An embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute the method for allocating the reserve capacity of the power system.

[0086] Specifically, the method for allocating the reserve capacity of the power system includes:

[0087] Step S201, obtaining the maximum demand capacity of each target area in the power system, wherein the power system includes a plurality of the target areas, and each of the target areas includes at least a generator set and a load;

[0088] Step S202, obtaining structural parameters of each of the target areas, and determining the backup cost and the maximum available capacity of each of the generator sets in each of the target areas according to the structural parameters, wherein the structural parameters are electrical parameters that characterize the structure of the power system;

[0089] Step S203, determining constraints at least based on the maximum demand capacity and the maximum available capacity, constructing an objective function based on the backup cost, solving the objective function under the constraints, obtaining the backup capacity of each of the generator sets, and allocating capacity to the power system according to the backup capacity.

[0090] An embodiment of the present invention provides an electronic device, including a processor, a memory, and a program stored in the memory and executable on the processor, wherein when the processor executes the program, at least the following steps are implemented:

[0091] Step S201, obtaining the maximum demand capacity of each target area in the power system, wherein the power system includes a plurality of the target areas, and each of the target areas includes at least a generator set and a load;

[0092] Step S202, obtaining structural parameters of each of the target areas, and determining the backup cost and the maximum available capacity of each of the generator sets in each of the target areas according to the structural parameters, wherein the structural parameters are electrical parameters that characterize the structure of the power system;

[0093] Step S203, determining constraints at least based on the maximum demand capacity and the maximum available capacity, constructing an objective function based on the backup cost, solving the objective function under the constraints, obtaining the backup capacity of each of the generator sets, and allocating capacity to the power system according to the backup capacity.

[0094] The devices in this article can be servers, PCs, PADs, mobile phones, etc.

[0095] The present application also provides a computer program product, including a computer program. When the computer program is executed by a processor, the steps of the above method in each embodiment of the present application are implemented:

[0096] Step S201, obtaining the maximum demand capacity of each target area in the power system, wherein the power system includes a plurality of the target areas, and each of the target areas includes at least a generator set and a load;

[0097] Step S202, obtaining structural parameters of each of the target areas, and determining the backup cost and the maximum available capacity of each of the generator sets in each of the target areas according to the structural parameters, wherein the structural parameters are electrical parameters that characterize the structure of the power system;

[0098] Step S203, determining constraints at least based on the maximum demand capacity and the maximum available capacity, constructing an objective function based on the backup cost, solving the objective function under the constraints, obtaining the backup capacity of each of the generator sets, and allocating capacity to the power system according to the backup capacity.

[0099] Obviously, those skilled in the art should understand that the above modules or steps of the present invention can be implemented by a general computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, and in some cases, the steps shown or described can be executed in a different order than here, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present invention is not limited to any specific combination of hardware and software.

[0100] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0101] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0102] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0103] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0104] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0105] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0106] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0107] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0108] From the above description, it can be seen that the above embodiments of the present application achieve the following technical effects:

[0109] 1) In the method for allocating the reserve capacity of the power system of the present application, the maximum demand capacity of each target area in the power system is obtained, wherein the power system includes multiple target areas, each target area includes at least a generator set and a load; the structural parameters of each target area are obtained, and the reserve cost and the maximum available capacity of each generator set in each target area are determined according to the structural parameters, wherein the structural parameters are electrical parameters that characterize the operating characteristics of the power system; at least the constraint conditions are determined according to the maximum demand capacity and the maximum available capacity, the objective function is constructed according to the reserve cost, the objective function is solved under the constraint conditions, the reserve capacity of each generator set is obtained, and the capacity of the power system is allocated according to the reserve capacity. Compared with the prior art, the reserve capacity of the power system is allocated according to a fixed ratio, and it cannot be allocated according to the system structure characteristics, and thus the economy of the system operation cannot be guaranteed. The present application can flexibly allocate the reserve capacity according to different structures through the constructed objective function and constraint conditions, thereby improving the economy of the power system operation. Therefore, it can solve the problem that the reserve capacity of the power system in the prior art cannot be flexibly allocated, and achieve the effect of improving the economy of the power system operation.

[0110] 2) In the allocation device of the power system reserve capacity of the present application, the maximum demand capacity of each target area in the power system is obtained, wherein the power system includes multiple target areas, each target area includes at least a generator set and a load; the structural parameters of each target area are obtained, and the reserve cost and the maximum available capacity of each generator set in each target area are determined according to the structural parameters, wherein the structural parameters are electrical parameters that characterize the operating characteristics of the power system; at least the constraint conditions are determined according to the maximum demand capacity and the maximum available capacity, the objective function is constructed according to the reserve cost, the objective function is solved under the constraint conditions, the reserve capacity of each generator set is obtained, and the capacity of the power system is allocated according to the reserve capacity. Compared with the prior art, the reserve capacity of the power system is allocated according to a fixed ratio, and it cannot be allocated according to the system structure characteristics, and thus the economy of the system operation cannot be guaranteed. The present application can flexibly allocate the reserve capacity according to different structures through the constructed objective function and constraint conditions, thereby improving the economy of the power system operation. Therefore, it can solve the problem that the reserve capacity of the power system in the prior art cannot be flexibly allocated, and achieve the effect of improving the economy of the power system operation.

[0111] The above description is only the preferred embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A method for allocating reserve capacity of a power system, characterized in that: include: Acquire the maximum demand capacity of each target area in the power system, wherein the power system includes a plurality of the target areas, and each of the target areas includes at least a generator set and a load; Acquire structural parameters of each of the target areas, and determine the backup cost and the maximum available capacity of each of the generator sets in each of the target areas according to the structural parameters, wherein the structural parameters are electrical parameters that characterize the structure of the power system; Determine constraints at least based on the maximum demand capacity and the maximum available capacity, construct an objective function based on the backup cost, solve the objective function under the constraints to obtain the backup capacity of each of the generator sets, and allocate capacity of the power system according to the backup capacity.

2. The distribution method according to claim 1, characterized in that: Obtain the maximum demand capacity of each target area in the power system, including: Obtaining the predicted output power of the wind turbines and the predicted output power of the photovoltaic units in each of the target areas, obtaining the predicted required power of the loads in the target areas, and determining the reliability capacity; According to the formula R i =P i w α+P i s β+D i γ+r i Determine the maximum required capacity, where R i represents the maximum required capacity of target area i, P i w represents the predicted output power of the wind turbine in the target area i, P i s represents the predicted output power of the photovoltaic group in the target area i, D i represents the predicted demand power of the load in the target area i, ri is the reliability capacity of the target area i, α represents the reserve factor of the wind turbine group, β represents the reserve factor of the photovoltaic group, γ represents the reserve factor of the load, and the reserve factor is a coefficient that characterizes the volatility of the predicted output power or the predicted demand power.

3. The distribution method according to claim 2, characterized in that: Determine reliability capacity, including: Obtaining the installed capacity of each of the generator sets and the transmission capacity of each transmission line; The maximum capacity among the installed capacities and the transmission capacities is determined as the reliability capacity.

4. The distribution method according to claim 1, characterized in that: Determining the standby cost and the maximum available capacity of each generator set in each target area according to the structural parameters includes: According to formula c RC,n,i =R G,n,i ·p RC,n,i Determine the capacity cost in the backup cost and calculate it according to the formula Determine the electricity cost in the backup cost, where R G,n,i is the spare capacity of the nth generator set in the target area i, p RC,n, i is the capacity electricity price of the nth generator set in the target area i, p RE,n, i is the electricity price of the nth generator set in the target area i, is the probability that the reserve capacity is called, c RC,n, i is the capacity cost of the spare capacity, c RE,n, i is the electricity cost of the reserve capacity; According to the formula Determine the maximum available capacity, wherein: is the maximum available capacity of the nth generator set in the target area i, CA G,n,i is the installed capacity of the nth generator set in the target area i, P G,n,i The day-ahead planned power generation of the n-th generator set in the target area i.

5. The distribution method according to claim 1, characterized in that: Determining a constraint condition based at least on the maximum required capacity and the maximum available capacity includes: Determined by the formula Capacity balance constraint, where R i represents the total spare capacity provided by the target area i, R G,n,i is the spare capacity of the nth generator set in the target area i, R L,m,i represents the spare capacity of transmission line m in target area i, R req,i represents the required spare capacity of the target area i, is the maximum available capacity of the nth generator set in the target area i, N G,i represents the total number of the generator sets providing the backup capacity in the target area i, N L,i represents the total number of transmission lines supported by the target area i with spare capacity, is the remaining available capacity of the transmission line m.

6. The distribution method according to claim 1, characterized in that: Determining the constraint condition at least according to the maximum required capacity and the maximum available capacity also includes: According to the formula Determine the transmission capacity constraint condition of the transmission line, wherein each of the target areas also includes the transmission line, L m,max is the maximum transmission capacity of the transmission line m, L m The transmission capacity occupied by the power transmission and reception plan between the target areas, is the remaining available capacity of the transmission line m.

7. The distribution method according to claim 1, characterized in that: An objective function is constructed according to the standby cost, including: According to the backup cost, the formula Construct the objective function, where c RC,n,i is the capacity cost of the spare capacity, c RE,n,i is the electricity cost of the backup capacity, C Rreq represents the total standby cost, N R Indicates the number of generator sets.

8. A device for allocating spare capacity of a power system, characterized in that: include: An acquisition unit, configured to acquire the maximum required capacity of each target area in the power system, wherein the power system includes a plurality of the target areas, and each of the target areas includes at least a generator set and a load; A determination unit, configured to obtain structural parameters of each of the target areas, and determine the backup cost and the maximum available capacity of each of the generator sets in each of the target areas according to the structural parameters, wherein the structural parameters are electrical parameters characterizing the structure of the power system; an allocation unit, for determining constraints at least according to the maximum required capacity and the maximum available capacity, constructing an objective function according to the backup cost, solving the objective function under the constraints to obtain the backup capacity of each of the generator sets, and allocating capacity to the power system according to the backup capacity.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute the method for allocating reserve capacity of the power system according to any one of claims 1 to 7.

10. An electronic device, characterized in that: include: One or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and are configured to be executed by the one or more processors, and the one or more programs include a method for allocating reserve capacity of an electric power system as described in any one of claims 1 to 7.

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