Electric power communication network joint optimization method and electronic equipment

Abstract

The invention provides an electric power communication network joint optimization method and electronic equipment, and belongs to the technical field of resource regulation and control. The method comprises the following steps: determining communication cost information of a power network according to the data volume of each data node in a communication network and a pre-constructed communication network equivalent model; determining generator scheduling cost information and load aggregator scheduling cost information of the power network according to the operation standby adjusting power of each generator in the power network, the operation standby adjusting power of each load aggregator and a pre-constructed power network model; and determining target total scheduling cost information of the power network according to the communication cost information, the generator scheduling cost information, the load aggregator scheduling cost information and a pre-constructed power communication network joint optimization model. According to the invention, the method can achieve the effects of reducing the power resource scheduling cost, improving the response speed and accuracy of power resource scheduling, and improving the implementability of power resource scheduling.

Description

Technical Field

[0001] The present application relates to the technical field of resource regulation, and in particular to a method for joint optimization of a power communication network and an electronic device. Background Art

[0002] Vigorously developing renewable energy is a fundamental energy strategy to achieve clean, low-carbon, safe and efficient energy. With the continuous access of renewable energy, the resources on the power supply side are intermittent, and the strong volatility on both sides of the "source-load" is superimposed, resulting in increasing pressure on the real-time balance of supply and demand in the power grid. However, power supply resources such as thermal power and hydropower are widely used, and the "source follows load" control mode based on power supply to smooth load fluctuations faces severe challenges. Therefore, the safe and low-carbon operation of the power system urgently requires an efficient and flexible resource scheduling mode.

[0003] Compared with traditional power generation units, the flexible resources on the load side have small single capacity, rich types, dispersed geographical locations, wide configuration nodes, and random operation processes. The flexible regulation of load-side resources requires reliable, fast, and accurate transmission of massive data in communication / sensing / sensing / control, which poses a severe test to the communication network. The research on the regulation of flexible resources in power systems mainly starts from two aspects. The first is to assume that the communication network is perfect and the massive data of the power system is fully and reliably transmitted, and to regulate the flexible resources of the power system; the second is to assume that the communication is instantaneously reliable and the parameter measurement is accurate, and to regulate the flexible resources of the power system.

[0004] However, when dispatching power system resources based on relevant technologies, the first flexible resource control method ignores the planning and construction costs and operation and maintenance costs of reliable transmission of massive data in the power system; the second flexible resource control method ignores problems such as communication delay, packet loss, and measurement error under real data transmission, resulting in a large number of theoretical studies being unable to cope with complex control scenarios. Therefore, the solutions of related technologies have the problems of high power resource dispatching costs, slow response speed, poor accuracy, and poor feasibility. Summary of the invention

[0005] The purpose of this application is to provide a power communication network joint optimization method and electronic equipment, which can reduce the cost of power resource scheduling and improve the response speed and accuracy of power resource scheduling, so as to improve the feasibility of power resource scheduling.

[0006] The embodiment of the present application is implemented as follows:

[0007] A first aspect of an embodiment of the present application provides a method for joint optimization of a power communication network, the method comprising:

[0008] Obtaining a pre-built communication network equivalent model, the communication network equivalent model is used to characterize the relationship between the amount of data sent by each data node in the communication network and the communication cost generated when each communication branch in the communication network transmits the amount of data;

[0009] Obtain a pre-built power network model, which is used to characterize the relationship between the operating reserve regulation power of each generator in the power network and the generator dispatching cost, the relationship between the operating reserve regulation power of each load aggregator in the power network and the load aggregator dispatching cost, and the constraint relationship between the regulated power generation power of each generator at each power node in the power network, the regulated load power of each load aggregator and the output power of each power branch directly connected to each power node in the power network;

[0010] Determine the communication cost information of the power network according to the data volume of each data node in the communication network and the communication network equivalent model;

[0011] Determine the dispatching cost information of the generators and the dispatching cost information of the load aggregators of the power network according to the operating reserve regulating power of each generator in the power network, the operating reserve regulating power of each load aggregator and the power network model;

[0012] The target total dispatching cost information of the power network is determined based on the communication cost information, the generator dispatching cost information, the load aggregator dispatching cost information and a pre-built power communication network joint optimization model, wherein the power communication network joint optimization model is used to characterize the relationship between the communication cost, the generator dispatching cost and the load aggregator dispatching cost and the total dispatching cost.

[0013] As a possible implementation method, the communication cost information of the power network is determined according to the data volume of each data node in the communication network and the communication network equivalent model, including:

[0014] Determine the data volume of each data node according to the operation reserve adjustment amount of the load aggregator corresponding to each data node and the communication network equivalent model;

[0015] Determine the amount of data allocated to each communication branch by each data node according to the amount of data of each data node, and determine the amount of transmission data of each communication branch according to the amount of data allocated to each communication branch by each data node and the communication network equivalent model;

[0016] The communication cost information of the power network is determined according to the transmission data volume of each communication branch and the communication network equivalent model.

[0017] As a possible implementation, the above communication network equivalent model includes: a first formula, which is: in, Indicates the amount of data sent by data node i, represents the running reserve adjustment amount of the load aggregator corresponding to data node i, λ i (t) represents the correlation coefficient between the load aggregator and the data volume corresponding to the data node i, i represents the data node, I represents the data node set, t represents the time point, and T represents the time set;

[0018] According to the operation reserve adjustment amount of the load aggregator corresponding to each data node and the communication network equivalent model, the data volume of each data node is determined, including:

[0019] The running standby adjustment amount of the load aggregator corresponding to each data node is input into the first formula to obtain the data amount of each data node.

[0020] As a possible implementation, the above communication network equivalent model includes: a second formula, which is: in, represents the amount of data transmitted by communication branch k, It is used to indicate the amount of data sent by data node i and allocated to communication branch k, i represents the data node, k represents the communication branch, K represents the communication branch set, t represents the time point, and T represents the time set;

[0021] According to the amount of data allocated to each communication branch by each data node and the communication network equivalent model, the amount of data transmitted by each communication branch is determined, including:

[0022] The amount of data allocated by each data node to each communication branch is input into the second formula to obtain the transmission data amount of each communication branch.

[0023] As a possible implementation, the above communication network equivalent model includes: a third formula, which is: Among them, C F represents the communication cost of the power network, represents the amount of data transmitted by communication branch k, k represents the communication branch, K represents the communication branch set, t represents the time point, and T represents the time set;

[0024] According to the amount of data transmitted by each communication branch and the equivalent model of the communication network, the communication cost information of the power network is determined, including:

[0025] The amount of data transmitted by each communication branch is input into the third formula to obtain the communication cost information of the power network.

[0026] As a possible implementation method, according to the operating reserve regulation power of each generator in the power network, the operating reserve regulation power of each load aggregator and the power network model, the generator dispatching cost information and the load aggregator dispatching cost information of the power network are determined, including:

[0027] Determine the operating reserve regulating power of each generator and the regulated generating power of each generator, the operating reserve regulating power of each load aggregator and the regulated load power of each load aggregator according to the initial generating power of each generator, the initial load power of each load aggregator and the power network model;

[0028] Determine the generator dispatch cost information of the power network according to the operating reserve adjustment power of each generator and the power network model;

[0029] According to the operating reserve regulation power of each load aggregator and the power network model, the aggregator dispatch cost information of the power network is determined.

[0030] As a possible implementation, the above power network model includes: the fourth formula, the fifth formula and the sixth formula, and the fourth formula is: T, where represents the regulated power generation of generator g, represents the initial power generation of generator g, represents the operating reserve adjustment power of generator g, g represents the generator, G represents the generator set, t represents the time point, and T represents the time set; the fifth formula is: in, represents the regulated load power of load aggregator a, represents the initial load power of load aggregator a, represents the operating reserve adjustment power of load aggregator a, a represents the load aggregator, A represents the load aggregator set, t represents the time point, and T represents the time set; the sixth formula is: in, represents the regulated power generation of generator g, represents the regulated load power of load aggregator a, represents the output power of power branch l, represents the generator set of power node m, g represents the generator, represents the load aggregator set of power node m, L nrepresents the set of power branches directly connected to the power node m, t represents a time point, T represents a time set, and the sixth formula is used to characterize the constraint relationship between the regulated power generation power of each generator of each power node in the power network, the regulated load power of each load aggregator, and the output power of each power branch directly connected to each power node in the power network;

[0031] According to the initial power generation of each generator, the initial load power of each load aggregator and the power network model, the operating reserve adjustment power of each generator and the adjusted power generation of each generator, as well as the operating reserve adjustment power of each load aggregator and the adjusted load power of each load aggregator are determined, including:

[0032] Input the initial power generation of the generator into the fourth formula to obtain the operating standby adjustment power and the adjusted power generation of the generator;

[0033] Input the initial load power of the load aggregator into the fifth formula to obtain the operating reserve adjustment power and the adjusted load power of the load aggregator;

[0034] The regulated power generation power of each generator at each power node in the power network and the regulated load power of each load aggregator at each power node in the power network are input into the sixth formula to determine whether the constraints are met between the regulated power generation power of each generator at each power node in the power network, the regulated load power of each load aggregator and the output power of each power branch directly connected to each power node in the power network.

[0035] As a possible implementation method, the above power network model includes: the seventh formula, which is: Among them, C G represents the generator dispatching cost of the power network, represents the operating reserve regulation power of generator g, G represents the generator set;

[0036] According to the operating reserve adjustment power of each generator and the power network model, the generator dispatch cost information of the power network is determined, including:

[0037] The operating reserve adjustment power of each generator is input into the seventh formula to obtain the generator dispatch cost information of the power network.

[0038] As a possible implementation method, the above power network model includes: the eighth formula, which is: Among them, C P represents the load aggregator dispatch cost of the power network, represents the operating reserve regulation power of load aggregator a, a represents the load aggregator, and A represents the set of load aggregators;

[0039] According to the operating reserve regulation power of each load aggregator and the power network model, the load aggregator dispatch cost information of the power network is determined, including:

[0040] The operating reserve adjustment power of each load aggregator is input into the eighth formula to obtain the load aggregator dispatching cost information of the power network.

[0041] As a possible implementation method, the above power communication network joint optimization model includes: the ninth formula, the ninth formula is: minC ISO =C G +C P +C F , where C G represents the generator dispatching cost of the power network, C P represents the load aggregator dispatch cost of the power network, C F represents the communication cost of the power network, C ISO represents the total dispatch cost of the power network;

[0042] According to the communication cost information, the generator dispatching cost information, the load aggregator dispatching cost information and the pre-built power communication network joint optimization model, the target total dispatching cost information of the power network is determined, including:

[0043] The communication cost information, the generator dispatching cost information and the load aggregator dispatching cost information are input into the ninth formula to obtain the target total dispatching cost information of the power network.

[0044] According to a second aspect of an embodiment of the present application, an electronic device is provided, comprising: a memory and a processor, wherein the memory stores a computer program executable on the processor, and when the processor executes the computer program, the steps of the power communication network joint optimization method described in the first aspect are implemented.

[0045] According to a third aspect of an embodiment of the present application, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method for joint optimization of the power communication network described in the first aspect is implemented.

[0046] The beneficial effects of the embodiments of the present application include:

[0047] An embodiment of the present application provides a method for joint optimization of an electric power communication network, which calculates the communication cost information generated when each data node in the communication network transmits the dispatching data of the electric power network via each communication branch in the communication network through a pre-constructed communication network equivalent model; calculates the operating standby regulation power and the adjusted power generation power of each generator in the electric power network and the operating standby regulation power and the adjusted load power of each load aggregator in the electric power network through a pre-constructed electric power network model, and the pre-constructed electric power network model determines the dispatching cost information of the generators of the electric power network according to the operating standby regulation power of each generator in the electric power network, and the pre-constructed electric power network model determines the dispatching cost information of the load aggregators of the electric power network according to the operating standby regulation power of each load aggregator in the electric power network; the communication cost information of the electric power network calculated by the pre-constructed communication network equivalent model and the dispatching cost information of the generators of the electric power network and the dispatching cost information of the load aggregators calculated by the pre-constructed electric power network model are input into the pre-constructed electric power communication network joint optimization model to determine the target total dispatching cost of the electric power network, so as to minimize the cost of dispatching electric resources of the electric power system in the operating standby scenario. Among them, the pre-built power network model determines whether each power node in the power network is power balanced based on the adjusted power generation power of each generator associated with each power node in the power network, the adjusted load power of each load aggregator associated with each power node, and the transmission power of the power branch directly connected to each power node, and then determines the feasible operating reserve adjustment power of each generator in the power network and the feasible operating reserve adjustment power of each load aggregator. In this way, the cost of power resource scheduling can be reduced, and the response speed and accuracy of power resource scheduling can be improved, so as to improve the feasibility of power resource scheduling. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0049] Figure 1 A schematic diagram of a communication network equivalent model provided in an embodiment of the present application;

[0050] Figure 2 A schematic diagram of a power network model provided in an embodiment of the present application;

[0051] Figure 3 A flowchart of a power communication network joint optimization method provided in an embodiment of the present application;

[0052] Figure 4A flow chart for determining the communication cost of a power network provided in an embodiment of the present application;

[0053] Figure 5 A flow chart for determining the dispatching cost of generators and load aggregators in a power network provided in an embodiment of the present application;

[0054] Figure 6 A schematic diagram of a generator power resource scheduling result provided in an embodiment of the present application;

[0055] Figure 7 A schematic diagram of the results of power resource scheduling by a load aggregator provided in an embodiment of the present application;

[0056] Figure 8 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0057] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, 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 part of the embodiments of the present application, rather than all the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations.

[0058] Therefore, the following detailed description of the embodiments of the present application provided in the accompanying drawings is not intended to limit the scope of the present application for which protection is sought, but merely represents selected embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in the field without creative work are within the scope of protection of the present application.

[0059] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0060] At present, the flexible resource regulation of power systems is often studied from two aspects. The first is to assume that the communication network is perfect and the massive data of the power system is fully and reliably transmitted, and the flexible resources of the power system are regulated under this premise; the second is to assume that the communication network is instantaneously reliable and the communication network parameters are accurately measured, and the flexible resources of the power system are regulated under this premise. However, the first flexible resource regulation method ignores the planning and construction costs and operation and maintenance costs of the reliable transmission of massive data in the power system; the second flexible resource regulation method ignores the communication delay, packet loss, measurement error and other problems under real data transmission, resulting in a large number of theoretical studies unable to cope with complex regulation scenarios; this results in high cost of power resource scheduling, slow response speed, poor accuracy and poor feasibility of power resource scheduling.

[0061] To this end, the embodiment of the present application provides a joint optimization method for a power communication network, which calculates the communication traffic generated by the data volume of each node in the communication network transmitted through each communication branch in the communication network through a pre-constructed communication network equivalent model, and determines the communication cost information of the communication network according to the communication traffic of each communication branch; calculates the operating reserve power of each generator in the power network and the operating reserve power of each load aggregator through a pre-constructed power network model, and determines whether each power node is power balanced according to the adjusted power generation power of each generator on each power node in the power network, the adjusted load power of each load aggregator, and the output power of each power branch, and calculates the generator dispatching cost information and load aggregator dispatching cost information of the power network according to the operating reserve power of each generator and the operating reserve power of each load aggregator; optimizes the total dispatching cost composed of the communication cost information, the generator dispatching cost information, and the load aggregator dispatching cost information through a pre-constructed power communication network joint optimization model. In this way, the dispatching cost of power resources can be reduced, and the response speed and accuracy of power resource dispatching can be improved to improve the feasibility of power resource dispatching.

[0062] It is worth noting that the power communication network joint optimization method provided in the embodiment of the present application is applied to the scenario where flexible resources on the load side participate in the operation of standby. The power communication network joint optimization method can minimize the scheduling cost of the power system in this scenario.

[0063] The power communication network joint optimization method provided in the embodiment of the present application is explained in detail below with reference to the accompanying drawings.

[0064] Figure 1 A schematic diagram of a communication network equivalent model provided in this application, see Figure 1In a communication network equivalent model provided in an embodiment of the present application, the communication network is composed of multiple data nodes, multiple communication branches and corresponding topological relationships, wherein each data node includes multiple base stations and a data center, each base station is used to transmit the scheduling data of the node aggregator, and the data center is used to receive the scheduling data sent by each base station.

[0065] It is worth noting that in a communication network equivalent model provided in an embodiment of the present application, each data node is divided into a data source node, a data load node and a general node, wherein the data load node includes the data load, the data source node includes the data source, and the general node includes neither the data source nor the data load.

[0066] As an optional implementation, see Figure 1 A communication network equivalent model provided in an embodiment of the present application is established based on the IEEE 5-node system, that is, the communication network equivalent model is a 5-node communication network, which includes 5 base stations, 1 data center and 6 communication branches. However, it does not mean that a communication network equivalent model provided in the present application can only be a 5-node communication network, and the present application does not make specific limitations on this. Figure 1 Base stations 2, 3 and 4 are used as data source nodes in the communication network equivalent model, base station 1 is used as a data load node in the communication network equivalent model, and base station 5 is used as a general node in the communication network equivalent model. It is worth noting that the communication network will collect all the data generated by the flexible resource regulation in the power network, and provide data support for the power network model to calculate the generator operation reserve regulation and the load aggregator operation reserve regulation.

[0067] Figure 2 A schematic diagram of a power network model provided for this application, see Figure 2 An embodiment of the present application provides an electric power network model, which includes: multiple power nodes, multiple load aggregators and multiple power pathways, wherein each power node transmits operating power via each power pathway, each load aggregator is used to manage the power resources of each power node in its area, and the control center controls the power resources according to the categories of each power node in the area where each load aggregator is located and the operating standby power requirements reported by each load aggregator.

[0068] In an optional embodiment, see Figure 2 An electric power network model provided in an embodiment of the present application is a 5-node electric power network, which includes five electric power nodes, 3 load aggregators, 5 generators and 6 power branches. However, it does not mean that an electric power network model provided in the present application can only be a 5-node electric power network, and the present application does not make any specific limitation on this.

[0069] Among them, since the flexible resources on the power load side in the power network have the characteristics of small single-unit capacity, multiple load aggregators are used in the power network model to manage the flexible resource entities. The flexible resource entities can be residential communities, industrial parks, shopping malls, etc. The load aggregators receive the control of the dispatching center and participate in the operation and standby control of power resources in the power network. Each load aggregator collects the dispatching data of the multiple flexible entities it manages, and reports the data to the local base station, and then enters the communication network for data transmission. The control center of the power network allocates the standby adjustment amount to each load aggregator according to the total operation and standby demand to ensure the source and load balance of the power network. It is worth noting that the input physical quantities and output physical quantities involved in the power node include the control power after the load aggregator provides the operation and standby, and the physical quantity involved in the power branch is the power flow.

[0070] Figure 3 This is a flowchart of a power communication network joint optimization method provided by this application. This method can be applied to computer equipment and cloud network servers. Figure 3 , the embodiment of the present application provides a method for joint optimization of a power communication network, comprising:

[0071] S301. Obtain a pre-built communication network equivalent model, where the communication network equivalent model is used to characterize the relationship between the amount of data sent by each data node in the communication network and the communication cost generated when each communication branch in the communication network transmits the amount of data.

[0072] Optionally, the pre-built communication network equivalent model is a communication network model that is pre-built and stored in a computer device or server based on various measurement data such as the communication network topology, communication parameters, and communication protocols. Calling the pre-built communication network equivalent model can calculate the communication cost of each communication branch in the communication network.

[0073] Optionally, the pre-constructed communication network equivalent model includes multiple data nodes, data centers and multiple communication branches. The data volume of each data node is transmitted to the data center via each communication branch. The data nodes are subdivided into data source nodes, data load nodes and general data nodes. Multiple data source nodes correspond to one data load node. Each data source node transmits the data volume to the data load node. The data load node summarizes the received data volume from the data source and transmits it to the data center. The general data node transmits its data volume to the nearest data load node, and then transmits it to the data center.

[0074] Optionally, the communication branch is used to indicate the communication channel for transmitting the data volume of each data node in the communication network, the data node is used to indicate the node that sends and receives data in the communication network, and the communication cost of the communication branch is used to indicate the cost generated by the data traffic consumed when the communication branch transmits data.

[0075] Optionally, through a pre-constructed communication network equivalent model, the data flow generated when each communication branch in the communication network transmits the resource scheduling data of the power system is calculated, and the communication cost generated by the scheduling data transmission in the power network is determined based on the data flow consumed by each communication branch in the communication network.

[0076] Optionally, the amount of data transmitted by the data node is used to indicate the power grid dispatching data sent or received by the data node. The power grid dispatching data is used to indicate the data generated during the power system resource regulation process. The power grid dispatching data includes operating power, temperature, humidity, etc. This application does not make specific limitations on this.

[0077] S302. Obtain a pre-built power network model, which is used to characterize the relationship between the operating standby regulation power of each generator in the power network and the generator dispatching cost, the relationship between the operating standby regulation power of each load aggregator in the power network and the load aggregator dispatching cost, and the constraint relationship between the regulated generated power of each generator at each power node in the power network, the regulated load power of each load aggregator and the output power of each power branch directly connected to each power node in the power network.

[0078] Optionally, the pre-built power network model is a power network model that is constructed in advance and stored in a computer device or server based on actual measurement data such as the actual topological structure of the power grid, electrical parameters of the power grid branches, and electrical physical quantities of the power grid nodes. Calling the pre-built power network model can calculate the scheduling cost generated by the power network when calling flexible resources on the load side.

[0079] Optionally, the pre-built power network model includes multiple power nodes, multiple power branches and multiple power topology relationships. The operating power received or output by each power node is transmitted to other power nodes via each power branch in the power network. The power network also includes multiple generators and multiple load aggregators. The generators are used to supply power to the power network. Each generator in the power network is controlled by a control center to supply power to an area managed by each load aggregator. The load aggregator is used to instruct service providers who manage customer-side load power consumption in the power network.

[0080] Optionally, the operating standby regulation power of each generator refers to the operating standby regulation amount provided by the power network to regulate each generator to increase its power generation. The power network model determines the regulated power generation power of each generator based on the operating standby regulation amount provided by each generator, but the regulated power generation power of each generator under the action of its operating standby regulation power shall not exceed the operating upper limit and operating lower limit of the generator.

[0081] Optionally, the operating reserve regulation power of each load aggregator refers to the operating reserve regulation amount provided by each load aggregator in the power network to reduce the load power. The power network model determines the regulated load power of each load aggregator based on the operating reserve regulation amount provided by each load aggregator, but the regulated load power of each load aggregator under the action of its operating reserve regulation power shall not exceed the operating upper limit and lower limit of the load aggregator.

[0082] Optionally, the operating reserve regulation power selected by each generator in the power network is input into a pre-constructed power network model to obtain the generator dispatching cost of the power network; at the same time, the operating reserve regulation power selected by each load aggregator in the power network is input into a pre-constructed power network model to obtain the load aggregator dispatching cost of the power network.

[0083] Optionally, the pre-built power network model determines whether the power of each power node in the power network is balanced based on the regulated power generation power of each generator associated with each power node in the power network, the regulated load power of each load aggregator associated with each power node, and the output power of each power branch directly connected to each power node, and then evaluates whether the operating reserve regulation power of each generator in the power network is reasonable and whether the operating reserve regulation power of each load aggregator is reasonable. It is worth noting that the constraint relationship between the regulated power generation power of each generator at each power node in the power network, the regulated load power of each load aggregator, and the output power of each power branch directly connected to each power node in the power network makes the power network model highly feasible.

[0084] S303: Determine the communication cost information of the power network according to the data volume of each data node in the communication network and the communication network equivalent model.

[0085] Optionally, the data volume of each data node in the communication network is input into a pre-built communication network equivalent model, and the data flow generated when each communication branch in the communication network transmits the data volume transmitted by each data node can be obtained. Based on the data flow generated in real time by each communication branch in the communication network, the communication cost generated when the communication network transmits power network dispatching data can be determined.

[0086] S304. Determine the generator dispatching cost information and the load aggregator dispatching cost information of the power network according to the operating reserve regulation power of each generator in the power network, the operating reserve regulation power of each load aggregator and the power network model.

[0087] Optionally, by inputting the operating reserve adjustment power of each generator into a pre-constructed power network model, the generator dispatching cost information generated by the operating reserve of each generator in the power network can be obtained, and the generator dispatching cost information is used to indicate the dispatching cost generated by the power network regulating each generator to increase the operating power; by inputting the operating reserve adjustment power of each load aggregator into a pre-constructed power network model, the load aggregator dispatching cost information generated by the operating reserve of each load aggregator in the power network can be obtained, and the load aggregator dispatching cost information is used to indicate the dispatching cost generated by the power network regulating each load aggregator to reduce the load power.

[0088] S305. Determine the target total dispatching cost information of the power network based on the communication cost information, the generator dispatching cost information, the load aggregator dispatching cost information and a pre-built joint optimization model of the power communication network, wherein the joint optimization model of the power communication network is used to characterize the relationship between the communication cost, the generator dispatching cost and the load aggregator dispatching cost and the total dispatching cost.

[0089] Optionally, the pre-built power communication network joint optimization model is a power resource scheduling cost optimization model that is pre-built based on the costs generated by communication traffic, power data, etc. involved in the power resource scheduling process in the power network. The user stores the pre-built power communication network joint optimization model in a computer device or server.

[0090] Optionally, the communication cost information of the power network calculated by a pre-built communication network equivalent model is input into a pre-built power communication network joint optimization model, and the generator dispatching cost information in the power network and the load aggregator dispatching cost information calculated by the pre-built power network model are input into the pre-built power communication network joint optimization model to calculate the target total dispatching cost information of the power network. The target total dispatching cost information is used to indicate the cost information with the lowest total dispatching cost when the power network dispatches power resources.

[0091] In an embodiment of the present application, a pre-constructed communication network equivalent model is used to calculate the communication cost information generated when each data node in the communication network transmits the dispatching data of the power network via each communication branch in the communication network; the pre-constructed power network model is used to calculate the operating standby regulation power and the regulated power generation power of each generator in the power network and the operating standby regulation power and the regulated load power of each load aggregator in the power network, the pre-constructed power network model determines the generator dispatching cost information of the power network according to the operating standby regulation power of each generator in the power network, and the pre-constructed power network model determines the load aggregator dispatching cost information of the power network according to the operating standby regulation power of each load aggregator in the power network; the communication cost information of the power network calculated by the pre-constructed communication network equivalent model and the generator dispatching cost information of the power network and the load aggregator dispatching cost information calculated by the pre-constructed power network model are input into a pre-constructed power communication network joint optimization model to determine the target total dispatching cost of the power network, so as to minimize the cost of dispatching power resources in the power system under the operating standby scenario. Among them, the pre-built power network model determines whether each power node in the power network is power balanced based on the adjusted power generation power of each generator associated with each power node in the power network, the adjusted load power of each load aggregator associated with each power node, and the transmission power of the power branch directly connected to each power node, and then determines the feasible operating reserve adjustment power of each generator in the power network and the feasible operating reserve adjustment power of each load aggregator. In this way, the cost of power resource scheduling can be reduced, and the response speed and accuracy of power resource scheduling can be improved, so as to improve the feasibility of power resource scheduling.

[0092] For a possible implementation, see Figure 4 The operation of step 303 may specifically be:

[0093] S401. Determine the data volume of each data node according to the operation standby adjustment amount of the load aggregator corresponding to each data node and the communication network equivalent model.

[0094] Optionally, the operating reserve adjustment amount of the load aggregator is used to indicate the operating power reserve amount provided by the load aggregator to reduce the load power, and the data volume of each data node is determined according to the operating reserve adjustment amount of the load aggregator corresponding to each data node and the correlation between the proxy load volume of each load aggregator in the communication network stored in the pre-built communication network equivalent model and the data volume sent by each data node. Among them, the data volume of each data node is used to indicate the dispatching data of the power network transmitted by each data node in the communication network, and the data volume can be 200kb, etc., which is not specifically limited in this application.

[0095] S402: Determine the amount of data allocated to each communication branch by each data node according to the amount of data of each data node, and determine the amount of transmission data of each communication branch according to the amount of data allocated to each communication branch by each data node and the communication network equivalent model.

[0096] Optionally, a pre-constructed communication network equivalent model determines the amount of data allocated to each communication branch connected to each data node based on the amount of data of each data node and the communication branches connected to each data node in the communication network. The communication network equivalent model determines the amount of data transmitted by each communication branch based on the amount of data allocated to each communication branch by each data node. The amount of data transmitted by the communication branch is used to indicate the data flow consumed by the communication branch to transmit the portion of the data allocated to the data node.

[0097] S403: Determine the communication cost information of the power network according to the transmission data volume of each communication branch and the communication network equivalent model.

[0098] Optionally, the pre-constructed communication network equivalent model determines the communication cost generated when the power network performs power resource scheduling based on the data flow generated by each communication branch in the communication network transmitting the scheduling data of the power network.

[0099] In an optional implementation manner, the above communication network equivalent model includes: a first formula, which is: in, Indicates the amount of data sent by data node i, represents the running reserve adjustment amount of the load aggregator corresponding to data node i, λ i (t) represents the correlation coefficient between the load aggregator and the data volume corresponding to the data node i, i represents the data node, I represents the data node set, t represents the time point, and T represents the time set.

[0100] The specific operations of the above step S401 may be:

[0101] The running standby adjustment amount of the load aggregator corresponding to each data node is input into the first formula to obtain the data amount of each data node.

[0102] Optionally, according to the data transmission characteristics of each data node in the communication network, each data node in the communication network is divided into general nodes, data source nodes and data load nodes, and a data source node model is constructed in the communication network equivalent model based on the data source nodes. The data source node model is expressed by a first formula, and the communication network equivalent model calculates the amount of data sent by each data source node in the communication network based on the first formula.

[0103]

[0104] in, Indicates the amount of data sent by data node i, represents the running reserve adjustment amount of the load aggregator corresponding to data node i, λ i (t) represents the correlation coefficient between the load aggregator and the data volume corresponding to data node i, i represents the data node, I represents the data node set, t represents the time point, and T represents the time set. It is worth noting that the correlation coefficient λ i (t) It is related to the internal proxy load of the load aggregator. For example, under the premise of providing equal amount of reserve regulation, the load aggregator needs to regulate more individual residential loads than the industrial load aggregator, because the adjustable amount of individual residential loads is much smaller than that of industrial loads, which will generate a large amount of data.

[0105] Optionally, the amount of data sent by each data node may be input into formula (1) to obtain the amount of data sent by the data node.

[0106] Optionally, a data load node model is constructed in the communication network equivalent model according to the data load nodes, the communication network equivalent model constructs the data load node model based on the first formula, and the amount of data received by each data load node in the communication network is calculated through the data load node model.

[0107]

[0108] in, Indicates the amount of data sent by data node i, It represents the amount of data received by the data load node. The amount of data received by the data load node is calculated by the amount of data received by each data source node. That is, the amount of data received by the data load node is equal to the sum of the amounts of data sent to it by each data source node associated with it via the communication branch.

[0109] Optionally, the amount of data sent by each data source node associated with each data load node is input into formula (2), so as to obtain the amount of data received by the data load node.

[0110] In an optional implementation manner, the above communication network equivalent model includes: a second formula, and the second formula is: in, represents the amount of data transmitted by communication branch k, It is used to indicate the amount of data sent by data node i and allocated to communication branch k, where i represents the data node, k represents the communication branch, K represents the communication branch set, t represents the time point, and T represents the time set.

[0111] The operation of step S402 may specifically be:

[0112] The amount of data allocated by each data node to each communication branch is input into the second formula to obtain the transmission data amount of each communication branch.

[0113] Optionally, a communication flow model is constructed based on the data flow consumed by each communication branch in the communication network to transmit each data node, and the communication network equivalent model is characterized by a second formula. The communication network equivalent model calculates the data flow consumed by each communication branch in the communication network when transmitting the dispatching data of the power network based on the second formula.

[0114]

[0115] in, represents the amount of data transmitted by the communication branch k, that is, the data flow generated when the communication branch k transmits the dispatching data of the power network; It is used to indicate the amount of data sent by data node i and allocated to communication branch k, where i represents the data node, k represents the communication branch, K represents the communication branch set, i.e., all communication branches in the communication network; t represents the time point, and T represents the time set.

[0116] Optionally, the data volume of each data node is distributed to the data volume of communication branch k and input into formula (3), so as to obtain the data flow generated by the communication branch k in the communication network transmitting the power network dispatching data.

[0117] Optionally, the amount of data transmitted by each communication branch in the communication network is limited by the transmission capacity of each communication branch. A transmission capacity model of the communication branch is constructed according to the transmission capacity of each communication branch in the communication network. The communication network equivalent model determines whether each communication branch in the communication network has delayed or packet loss transmission according to the transmission capacity model of the communication branch. The transmission capacity model of the communication branch is represented by the following formula (4).

[0118]

[0119] in, It represents the lower limit of the data transmission capacity of communication branch k, that is, the minimum amount of data that can be transmitted by communication branch k at a time; It represents the upper limit of the data transmission capacity of communication branch k, that is, the maximum amount of data that communication branch k can transmit at one time.

[0120] Optionally, by inputting the transmission data volume of each communication branch into formula (4), it can be determined whether each communication branch in the communication network transmits data accurately and reliably.

[0121] In an optional implementation manner, the above communication network equivalent model includes: a third formula, and the third formula is: Among them, C F represents the communication cost of the power network, represents the amount of data transmitted by communication branch k, k represents the communication branch, K represents the communication branch set, t represents the time point, and T represents the time set;

[0122] The operation of step S403 may specifically be:

[0123] The amount of data transmitted by each communication branch is input into the third formula to obtain the communication cost information of the power network.

[0124] Optionally, a communication cost model is constructed according to the amount of transmission data of each communication branch in the communication network, and the communication cost model is characterized by a third formula in the communication network equivalent model. The communication cost generated by the power network scheduling data transmission is calculated by the communication network equivalent model based on the third formula.

[0125]

[0126] Among them, C F It represents the communication cost of the power network, that is, the cost of data flow consumed by the communication network to transmit the dispatching data of the power network; It represents the amount of data transmitted by the communication branch k, that is, the data flow consumed by each communication branch in the communication network to transmit the dispatching data of the power network; k represents the communication branch, K represents the communication branch set, t represents the time point, and T represents the time set.

[0127] Optionally, the amount of data transmitted by each communication branch in the communication network is input into formula (5), so as to obtain the cost corresponding to the data flow generated when the communication network transmits the dispatching data of the power network.

[0128] Optionally, according to the timeliness of the communication price of the communication branch, a communication cost model of each communication branch is constructed, and the communication cost model of the communication branch is characterized by formula (6) in the communication network equivalent model. The communication network equivalent model calculates the communication price of each communication branch in the communication network in each time period through formula (6).

[0129]

[0130] in, represents the communication cost of communication branch k, that is, the cost of the data flow generated when communication branch k transmits the dispatching data allocated by the power network, represents the communication price function of communication branch k, It represents the amount of data transmitted by communication branch k, that is, the data flow generated when communication branch k transmits the dispatching data of the power network.

[0131] Optionally, the amount of data transmitted by each communication branch is input into formula (6), so as to obtain the communication cost generated by each communication branch in the communication network transmitting the power network dispatching data in each time period.

[0132] Optionally, a communication price function of each communication branch is constructed according to the communication price of each communication branch in the communication network. The communication price of the communication branch is represented by formula (7). Formula (7) can be used to calculate the price of transmitting data by the communication branch in each time period.

[0133]

[0134] in, represents the communication price function of communication branch k, a k (t) and b k (t) are the communication price coefficients of communication branch k. The communication price of a communication branch is variable, such as high cost during the day and low cost at night.

[0135] Optionally, the transmission data volume of each communication branch is input into formula (7), and the communication cost function of each communication branch in the communication network in each time period can be obtained.

[0136] Optionally, based on the communication price function of the communication branch, a communication cost model of each communication branch in the communication network represented by formula (8) is further calculated.

[0137]

[0138] in, represents the communication cost of communication branch k, a k (t) and b k (t) are the communication price coefficients of communication branch k, Represents the amount of data transmitted by communication branch k.

[0139] Optionally, the transmission data volume of each communication branch is input into formula (8), and the communication cost of each communication branch in the communication network can be obtained.

[0140] As an optional implementation, the input data volume of each communication node in the communication network equivalent model is equal to the output data volume, wherein the communication topology relationship between the data load node and the communication branch is represented by formula (9), and the communication topology relationship between the general data node and the communication branch is represented by formula (10).

[0141]

[0142] Among them, K j represents the set of communication branches directly connected to the data load node, represents the amount of data transmitted by communication branch k, It indicates the amount of data received by the data-bearing node, that is, the amount of data received by the data-bearing node is equal to the sum of the amount of data input by each communication branch directly connected to it.

[0143]

[0144] in, represents the amount of data transmitted by communication branch k, Indicates the amount of data sent by data node i, represents the set of data input communication branches directly connected to data node i, It represents the set of data output communication branches directly connected to data node i, that is, the data output amount of general data is equal to the sum of the data amount of general data itself and the data amount of other communication branches input.

[0145] It is worth noting that when the power network regulates power resources, the transmission and communication of the power network's dispatching data can be divided into communication peak hours and communication off-peak hours, and different communication branches have different change prices and different data transmission capabilities.

[0146] For a possible implementation, see Figure 5 The operation of step 304 may specifically be:

[0147] S501. Determine the operating standby regulation power of each generator and the regulated operating power of each generator, as well as the operating standby regulation power of each load aggregator and the regulated load power of each load aggregator based on the initial generating power of each generator, the initial load power of each load aggregator and the power network model.

[0148] Optionally, the initial power generation power of the generator is used to indicate the power generation power initially planned to be provided by the generator, and the initial load power of the load aggregator is used to indicate the load power initially planned to be provided by the load aggregator.

[0149] Optionally, a pre-built power network model selects an adaptive operating standby regulation power from the operating standby regulation amounts that the generator can also support according to the initial generating power of the generator, and calculates the regulated generating power of the generator based on the retrieved operating standby regulation power and the initial generating power of the generator. The regulated generating power is used to indicate the actual operating power of the generator after calling the operating standby regulation power on the basis of the initial generating power.

[0150] Optionally, a pre-built power network model selects an adaptive operating standby regulation power from the operating standby regulation quantities that the load aggregator can also support according to the initial load power of the load aggregator, and calculates the load aggregator's regulated load power based on the retrieved operating standby regulation power and the initial load power of the load aggregator. The regulated load power is used to indicate the actual operating power of the load aggregator after calling the operating standby regulation power on the basis of the initial load power.

[0151] S502: Determine the generator dispatching cost information of the power network according to the operating standby adjustment power of each generator and the power network model.

[0152] Optionally, the preset power network model determines the generator dispatching cost information generated by the power network dispatching each generator to provide the operating reserve regulation amount according to the operating reserve regulation power provided by each generator in the power network.

[0153] S503: Determine the aggregator dispatching cost information of the power network according to the operating reserve regulation power of each load aggregator and the power network model.

[0154] Optionally, the preset power network model determines the load aggregator dispatching cost information generated by the power network dispatching each load aggregator to provide the operating reserve regulation amount based on the operating reserve regulation power provided by each load aggregator in the power network.

[0155] In an optional implementation manner, the above power network model includes: a fourth formula, a fifth formula and a sixth formula, and the fourth formula is: in, represents the regulated power generation of generator g, represents the initial power generation of generator g, represents the operating reserve adjustment power of generator g, g represents the generator, G represents the generator set, t represents the time point, and T represents the time set; the fifth formula is: in, represents the regulated load power of load aggregator a, represents the initial load power of load aggregator a, represents the operating reserve adjustment power of load aggregator a, a represents the load aggregator, A represents the load aggregator set, t represents the time point, and T represents the time set; the sixth formula is: in, represents the regulated power generation of generator g, represents the regulated load power of load aggregator a, represents the output power of power branch l, represents the generator set of power node m, g represents the generator, represents the load aggregator set of power node m, L m represents the set of power branches directly connected to the power node m, t represents a time point, T represents a time set, and the sixth formula is used to characterize the constraint relationship between the regulated power generation power of each generator of each power node in the power network, the regulated load power of each load aggregator, and the output power of each power branch directly connected to each power node in the power network;

[0156] The specific operations of the above step S501 may be:

[0157] Input the initial power generation of the generator into the fourth formula to obtain the operating standby adjustment power and the adjusted power generation of the generator;

[0158] Input the initial load power of the load aggregator into the fifth formula to obtain the operating reserve adjustment power and the adjusted load power of the load aggregator;

[0159] The regulated power generation power of each generator at each power node in the power network and the regulated load power of each load aggregator at each power node in the power network are input into the sixth formula to determine whether the constraints are met between the regulated power generation power of each generator at each power node in the power network, the regulated load power of each load aggregator and the output power of each power branch directly connected to each power node in the power network.

[0160] Optionally, an operation standby model of each generator is constructed according to the operation standby rules of each generator in the power network, and the generator operation standby model is characterized by a fourth formula in the pre-constructed power network model. The following formula (11) is used to characterize the fourth formula, and formula (12), formula (13) and formula (14) are used as constraints of the fourth formula.

[0161]

[0162] in, represents the regulated power generation of generator g, represents the initial power generation of generator g, represents the operating reserve regulation power of generator g, represents the minimum power generation capacity of generator g, represents the maximum power generation capacity of the generator g, Used to indicate the ramp rate limit of the generator g, Indicates the lower limit of the operating reserve regulation power that generator g can provide, represents the upper limit of the operating reserve regulation power that the generator g can provide, g represents the generator, G represents the generator set, t represents the time point, and T represents the time set.

[0163] Optionally, the initial power generation power of each generator is input into formula (11), and the operating standby regulating power of each generator is adjusted based on formula (12), formula (13) and formula (14), so that each generator operates within its normal working range. It is unreasonable if the power generation power of the generator is overloaded or damaged after adjustment under the action of the operating standby regulating power, or the operating capacity of the generator is wasted due to low load.

[0164] Optionally, an operation and standby model of each load aggregator is constructed according to the operation and standby rules of each load aggregator in the power network, and the operation and standby model of the load aggregator is characterized by the fifth formula in the pre-constructed power network model. The following formula (15) is used to characterize the fifth formula, and formula (16), formula (17) and formula (18) are used as constraints of the fifth formula.

[0165]

[0166] in, represents the regulated load power of load aggregator a, represents the initial load power of load aggregator a, represents the operating reserve regulation power of load aggregator a, Indicates the lower limit of load power reduction by the load aggregator. Indicates that the load aggregator reduces the upper limit of load power. is the ramp rate limit of the load aggregator, A represents the set of load aggregators, It represents the lower limit of the operating reserve regulation power that the load aggregator can provide. represents the upper limit of the operating reserve regulation power that the load aggregator can provide, a represents the load aggregator, A represents the set of load aggregators, t represents the time point, and T represents the time set.

[0167] Optionally, the initial load power of each load aggregator is input into formula (15), and the operating reserve regulation power of each load aggregator is adjusted based on formula (16), formula (17) and formula (18), so that each load aggregator operates within its normal working range. It is unreasonable if the load power of the load aggregator is overloaded or the load is too low after adjustment under the action of the operating reserve regulation power, wasting the operating capacity of the load aggregator.

[0168] Optionally, a power node power balance model of each power node is constructed according to the grid balancing rules of each power node in the power network. The power node power balance model is characterized by the sixth formula in the pre-constructed power network model. The following formula (19) is used to characterize the fifth formula. Formula (19) is used to determine whether the electric power of each power node in the power network is balanced, that is, the input power of each power node is equal to the output power.

[0169]

[0170] in, represents the regulated power generation of generator g, represents the regulated load power of load aggregator a, represents the output power of power branch l, represents the generator set of power node m, g represents the generator, represents the load aggregator set of power node m, L m represents the set of power branches directly connected to the power node m, t represents a time point, and T represents a time set.

[0171] Optionally, by inputting the output power of each power branch directly connected to each power node in the power network, the regulated power generation power of the generator connected to each power node, and the regulated load power of each load aggregator associated with each power node into formula (19), it can be determined whether the operating power of each power node in the power network is balanced. If the power of the power node is unbalanced, the operating reserve adjustment amount provided by the generator and the operating reserve adjustment amount provided by the load aggregator in the current power network is unreasonable, and the operating reserve adjustment power of the generator and the operating reserve adjustment power of the load aggregator need to be re-determined.

[0172] Optionally, a DC power flow model of each power branch is established based on the characteristics of each power branch in the power network transmitting operating standby power. Formula (20) is used to characterize the DC power flow model of the power network in the pre-constructed power network model, and formulas (21) and (22) are used as constraints of formula (20).

[0173]

[0174] in, represents the output power of power branch l, M represents the set of power nodes in the power network, L represents the set of power branches in the power network, B l is the susceptance of power branch l, δ m (t) and δ n (t) The power node m is the node phase angle, which is used to indicate the angle formed by the active power and reactive power at the power node m. δ represents the lower limit of the node phase angle. Indicates the upper limit of the node phase angle. The phase angle of the reference node is 0. Indicates the minimum operating power that can be transmitted by power branch l at one time. Indicates the maximum operating power that can be transmitted by power branch l at one time.

[0175] In an optional implementation manner, the above power network model includes: a seventh formula, which is: Among them, C G represents the generator dispatching cost of the power network, represents the operating reserve regulation power of generator g, G represents the generator set;

[0176] The operation of step S502 may specifically be:

[0177] The operating reserve adjustment power of each generator is input into the seventh formula to obtain the generator dispatch cost information of the power network.

[0178] Optionally, a generator dispatching cost model is constructed based on the operating standby regulation power provided by each generator in the power network. The generator dispatching cost model in the pre-constructed power network is characterized by the seventh formula. The generator dispatching cost model is characterized by formula (23) below, and the dispatching cost function of each generator in the power network is characterized by formula (24). The generator dispatching cost of the power network in each time period can be calculated by formula (23), and the dispatching cost of each generator in the power network in each time period can be calculated by formula (24).

[0179]

[0180] Among them, C G represents the generator dispatching cost of the power network, represents the operating reserve regulation power of generator g, G represents the generator set, and Both are the power generation price coefficients of the generator.

[0181] Optionally, by inputting the operating reserve regulation power provided by each generator in the power network into formula (23), the generator dispatching cost information of the power network can be obtained, and by inputting the operating reserve regulation power provided by each generator in the power network into formula (24), the dispatching cost corresponding to each generator in the power network can be obtained.

[0182] As an optional implementation, the above power network model includes: an eighth formula, which is: Among them, C P represents the load aggregator dispatch cost of the power network, represents the operating reserve regulation power of load aggregator a, a represents the load aggregator, and A represents the set of load aggregators;

[0183] The operation of step S503 may specifically be:

[0184] The operating reserve adjustment power of each load aggregator is input into the eighth formula to obtain the load aggregator dispatching cost information of the power network.

[0185] Optionally, a load aggregator dispatching cost model is constructed based on the operating reserve adjustment power provided by each load aggregator in the power network. The load aggregator dispatching cost model in the pre-constructed power network is characterized by the eighth formula. The load aggregator dispatching cost model is characterized by formula (25) below, and the dispatching cost function of each load aggregator in the power network is characterized by formula (26). The load aggregator dispatching cost of the power network in each time period can be calculated by formula (25), and the dispatching cost of each load aggregator in the power network in each time period can be calculated by formula (26).

[0186]

[0187] Among them, C P represents the load aggregator dispatch cost of the power network, represents the operating reserve regulation power of load aggregator a, a represents the load aggregator, A represents the set of load aggregators, and Both are price coefficients for load aggregators to reduce load power.

[0188] Optionally, by inputting the operating reserve regulation power provided by each load aggregator in the power network into formula (25), the load aggregator dispatching cost information of the power network can be obtained; by inputting the operating reserve regulation power provided by each load aggregator in the power network into formula (26), the corresponding dispatching cost of each load aggregator in the power network can be obtained.

[0189] In a possible implementation, the operation of step 305 may specifically be:

[0190] As a possible implementation method, the above power communication network joint optimization model includes: the ninth formula, the ninth formula is: minC ISO =C G +C P +C F , where C G represents the generator dispatching cost of the power network, C P represents the load aggregator dispatch cost of the power network, C F represents the communication cost of the power network, C ISO represents the total dispatch cost of the power network;

[0191] According to the communication cost information, the generator dispatching cost information, the load aggregator dispatching cost information and the pre-built power communication network joint optimization model, the target total dispatching cost information of the power network is determined, including:

[0192] The communication cost information, the generator dispatching cost information and the load aggregator dispatching cost information are input into the ninth formula to obtain the target total dispatching cost information of the power network.

[0193] Optionally, a power communication network joint optimization model is constructed according to the costs incurred in the power network and the communication network when mobilizing and removing resources from the power network. The power communication network joint optimization model is represented by the ninth formula, which is expressed by formula (27) as follows. The target total dispatch cost of the power network can be calculated by formula (27).

[0194] minC ISO =C G +C P +C F (27)

[0195] Among them, C G represents the generator dispatching cost of the power network, C P represents the load aggregator dispatch cost of the power network, C F represents the communication cost of the power network, C ISO Represents the total dispatch cost of the power network.

[0196] Optionally, the communication cost information calculated by the communication network equivalent model and the generator dispatching cost information and load aggregator dispatching cost information calculated by the power network model are input into formula (27) to obtain the minimum value of the total dispatching cost of the power network.

[0197] Figure 6 A schematic diagram of the results of generator scheduling in a power resource provided in this application, see Figure 6 Scheme 1 is the operating reserve adjustment amount that each generator can provide in traditional power resource scheduling, and scheme 2 is the operating reserve adjustment amount provided by each generator in the power system when the power system is scheduled by the power communication network joint optimization method provided by this application. It can be seen that the power communication network joint optimization provided by this application can greatly improve the utilization rate of the generator in the power system, thereby reducing the cost of power resource scheduling.

[0198] Figure 7 A schematic diagram of the results of load aggregator dispatch in a power resource provided in this application, see Figure 7 Scheme 1 is the operating reserve adjustment amount that each load aggregator can provide in traditional power resource scheduling, and scheme 2 is the operating reserve adjustment amount provided by each load aggregator in the power system when the power system is scheduled by the power communication network joint optimization method provided in this application. It can be seen that the power communication network joint optimization provided by this application can greatly improve the operating reserve adjustment amount of each load aggregator in the power system, so as to increase the rate of data transmission in the power system, thereby reducing the cost of power resource scheduling.

[0199] As an optional implementation, assume that the power network model is a 5-node power network, there are 5 generators and 3 aggregated load makers in the power network model, the total operating reserve regulation that the generators can provide is 1330MW, the dispatching center is located at the power node 1, and the operating reserve demand received by the dispatching center is 200MW.

[0200] (1) The three load aggregators contain different types and quantities of loads, as shown in the following table:

[0201] Table 1 Internal load composition of each aggregator in the power grid

[0202] Industrial load Commercial load Residential load Average measurement unit Aggregator 1# 48 95 20 20 Aggregator 2# 63 6 0 16 Aggregator 3# 32 190 40 13

[0203] (2) By comparing the two scheduling schemes in which flexible resources on the power load side participate in operating standby, the traditional scheme of flexible resource scheduling on the power load side does not charge for data communication, but the communication cost of power network scheduling of power resources is real; however, the flexible resource scheduling of the power network provided in the embodiment of the present application takes into account the comprehensive cost of the power network and optimizes the total scheduling cost formed by the power resource scheduling cost and the communication cost.

[0204] (3) See Figure 6 , the operating reserve adjustment amount of generator 3 and generator 4, among which, the operating reserve adjustment amount of generator 3 increased from 2.65MW in Scheme 1 to 4.56MW in Scheme 2, an increase of 71.60%; the operating reserve adjustment amount of generator 4 increased from 3.98MW in Scheme 1 to 8.13MW in Scheme 2, an increase of 104.16%; generator 5 was not dispatched; generators 1 and 2 worked at maximum power and did not participate in providing operating reserve.

[0205] (4) See Figure 7 , the total operating reserve adjustment amount of the load aggregator in the power resource scheduling provided in the embodiment of the present application is reduced from 193.36MW in Scheme 1 to 187.31MW in Scheme 2. Figure 7 The operating reserve adjustment amount of load aggregators 1, 2, and 3 under the two schemes, among which the operating reserve adjustment amount of aggregator 1 increased by 74.53%; the operating reserve adjustment amount of aggregator 2 increased by 102.57%; and the operating reserve adjustment amount of generator set 3 decreased by 27.43%.

[0206] (5) Table 2 shows the amount of data of each data node in the communication network under the traditional scheme 1 provided in the embodiment of the present application and the scheme 2 provided in the embodiment of the present application. As the operating reserve adjustment amount of the load aggregator in the power network changes, the data sent in the communication network changes accordingly, and the data received by the data center also decreases accordingly.

[0207] Table 2 Data volume of each node in the communication network

[0208] node Solution 1 / GB Solution 2 / GB 1 -50.83 -46.09 2 4.33 7.55 3 3.68 7.46 4 42.82 31.07 5 0 0

[0209] (6) Table 3 is a sensitivity analysis of the transmission data volume of the communication branch and the communication price. It can be seen that the distribution of the transmission data volume of the communication branch in the communication network is affected by the dynamically distributed communication price, that is, when the communication price of each communication branch changes, the transmission data volume distribution of the communication network changes.

[0210] Table 3 Sensitivity analysis of communication trends with respect to communication prices

[0211]

[0212]

[0213] (7) Table 4 is a comparison of the total dispatching costs of the joint operation of an electric power-communication network provided in an embodiment of the present application. As shown in Table 4, for the traditional solution 1, the solution 2 provided in the embodiment of the present application reduces the proportion of communication costs in the total dispatching costs by approximately 44.20% by reallocating the operating reserve adjustment amount between the generator and the load aggregator, saving approximately 6.49% of the total dispatching costs, and effectively improving the economic efficiency of the flexible resource dispatching on the load side while ensuring the operating reserve requirements.

[0214] Table 4 Total dispatching cost of power-communication network joint operation

[0215] Option 1 / $ Option 2 / $ Generator dispatch costs 80.96 162.95 Load aggregator dispatch costs 2760.85 2260.09 communication cost 449.00 234.27 Total dispatch cost 2841.81 2657.31

[0216] The following describes the electronic device and computer-readable storage medium used to execute the power communication network joint optimization method provided in this application. The specific implementation process and technical effects are described above and will not be repeated below.

[0217] Figure 8 is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. Figure 8 The electronic device includes: a memory 801 and a processor 802. The memory 801 stores a computer program that can be run on the processor 802. When the processor 302 executes the computer program, the steps in any of the above method embodiments are implemented.

[0218] An embodiment of the present application further provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments can be implemented.

[0219] Optionally, the present application also provides a program product, such as a computer-readable storage medium, comprising a program, which, when executed by a processor, is used to execute any of the above-mentioned embodiments of the power communication network joint optimization method.

[0220] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0221] The above-mentioned integrated unit implemented in the form of a software functional unit can be stored in a computer-readable storage medium. The above-mentioned software functional unit is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor (English: processor) to perform some steps of the methods of various embodiments of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (English: Read-Only Memory, abbreviated: ROM), random access memory (English: Random Access Memory, abbreviated: RAM), disk or optical disk and other media that can store program codes.

[0222] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0223] 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 joint optimization of power communication networks, characterized in that: The method comprises: Acquire a pre-built communication network equivalent model, wherein the communication network equivalent model is used to characterize the relationship between the amount of data sent by each data node in the communication network and the communication cost generated when each communication branch in the communication network transmits the amount of data; Obtain a pre-built power network model, the power network model is used to characterize the relationship between the operating reserve regulation power of each generator in the power network and the generator dispatching cost, the relationship between the operating reserve regulation power of each load aggregator in the power network and the load aggregator dispatching cost, and the constraint relationship between the regulated power generation power of each generator at each power node in the power network, the regulated load power of each load aggregator and the output power of each power branch directly connected to each power node in the power network; Determining communication cost information of the power network according to the data volume of each data node in the communication network and the communication network equivalent model; Determine the dispatching cost information of the generators and the dispatching cost information of the load aggregators of the power network according to the operating reserve regulation power of each generator in the power network, the operating reserve regulation power of each load aggregator and the power network model; The target total dispatching cost information of the power network is determined based on the communication cost information, the generator dispatching cost information, the load aggregator dispatching cost information and a pre-constructed power communication network joint optimization model, wherein the power communication network joint optimization model is used to characterize the relationship between the communication cost, the generator dispatching cost and the load aggregator dispatching cost and the total dispatching cost.

2. The power communication network joint optimization method according to claim 1, characterized in that: Determining the communication cost information of the power network according to the data volume of each data node in the communication network and the communication network equivalent model includes: Determine the data volume of each data node according to the operation reserve adjustment amount of the load aggregator corresponding to each data node and the communication network equivalent model; Determine the amount of data allocated to each communication branch by each data node according to the amount of data of each data node, and determine the amount of transmission data of each communication branch according to the amount of data allocated to each communication branch by each data node and the communication network equivalent model; The communication cost information of the power network is determined according to the transmission data volume of each communication branch and the communication network equivalent model.

3. The power communication network joint optimization method according to claim 2, characterized in that: The communication network equivalent model includes: a first formula, which is: in, Indicates the amount of data sent by data node i, represents the running reserve adjustment amount of the load aggregator corresponding to data node i, λ i (t) represents the correlation coefficient between the load aggregator and the data volume corresponding to the data node i, i represents the data node, I represents the data node set, t represents the time point, and T represents the time set; The step of determining the data volume of each data node according to the operation standby adjustment amount of the load aggregator corresponding to each data node and the communication network equivalent model includes: The running standby adjustment amount of the load aggregator corresponding to each data node is input into the first formula to obtain the data amount of each data node.

4. The power communication network joint optimization method according to claim 2, characterized in that: The communication network equivalent model includes: a second formula, which is: in, represents the amount of data transmitted by communication branch k, It is used to indicate the amount of data sent by data node i and allocated to communication branch k, i represents the data node, k represents the communication branch, K represents the communication branch set, t represents the time point, and T represents the time set; The determining the transmission data volume of each communication branch according to the data volume allocated to each communication branch by each data node and the communication network equivalent model comprises: The amount of data allocated by each data node to each communication branch is input into the second formula to obtain the transmission data amount of each communication branch.

5. The power communication network joint optimization method according to claim 2, characterized in that: The communication network equivalent model includes: a third formula, which is: Among them, C F represents the communication cost of the power network, represents the amount of data transmitted by communication branch k, k represents the communication branch, K represents the communication branch set, t represents the time point, and T represents the time set; Determining the communication cost information of the power network according to the amount of data transmitted by each communication branch and the communication network equivalent model includes: The amount of data transmitted by each communication branch is input into the third formula to obtain the communication cost information of the power network.

6. The power communication network joint optimization method according to claim 1, characterized in that: The step of determining the generator dispatching cost information and the load aggregator dispatching cost information of the power network according to the operating reserve adjustment power of each generator in the power network, the operating reserve adjustment power of each load aggregator and the power network model comprises: Determine the operating reserve adjustment power of each generator and the adjusted power generation power of each generator, as well as the operating reserve adjustment power of each load aggregator and the adjusted load power of each load aggregator according to the initial power generation power of each generator, the initial load power of each load aggregator and the power network model; Determining the generator dispatching cost information of the power network according to the operating reserve adjustment power of each generator and the power network model; According to the operating reserve regulation power of each load aggregator and the power network model, the aggregator dispatching cost information of the power network is determined.

7. The power communication network joint optimization method according to claim 6, characterized in that: The power network model includes: a fourth formula, a fifth formula and a sixth formula, and the fourth formula is: in, represents the regulated power generation of generator g, represents the initial power generation of generator g, represents the operating standby adjustment power of generator g, g represents the generator, G represents the generator set, t represents the time point, and T represents the time set; the fifth formula is: in, represents the regulated load power of load aggregator a, represents the initial load power of load aggregator a, represents the operating reserve adjustment power of load aggregator a, a represents the load aggregator, A represents the load aggregator set, t represents the time point, and T represents the time set; the sixth formula is: in, represents the regulated power generation of generator g, represents the regulated load power of load aggregator a, represents the output power of power branch l, represents the generator set of power node m, g represents the generator, represents the load aggregator set of power node m, L m represents a set of power branches directly connected to the power node m, t represents a time point, T represents a time set, and the sixth formula is used to characterize the constraint relationship between the regulated power generation power of each generator of each power node in the power network, the regulated load power of each load aggregator, and the output power of each power branch directly connected to each power node in the power network; The step of determining the operating standby regulating power of each generator and the regulated generating power of each generator, the operating standby regulating power of each load aggregator and the regulated load power of each load aggregator according to the initial generating power of each generator, the initial load power of each load aggregator and the power network model comprises: Inputting the initial power generation of the generator into the fourth formula to obtain the operating standby adjustment power and the adjusted power generation of the generator; Inputting the initial load power of the load aggregator into the fifth formula to obtain the operating standby adjustment power and the adjusted load power of the load aggregator; The regulated power generation power of each generator at each power node in the power network and the regulated load power of each load aggregator at each power node in the power network are input into the sixth formula to determine whether the constraints are met between the regulated power generation power of each generator at each power node in the power network, the regulated load power of each load aggregator and the output power of each power branch directly connected to each power node in the power network.

8. The power communication network joint optimization method according to claim 6, characterized in that: The power network model includes: a seventh formula, which is: Among them, C G represents the generator dispatching cost of the power network, represents the operating reserve regulation power of generator g, G represents the generator set; The step of determining the generator dispatching cost information of the power network according to the operating standby adjustment power of each generator and the power network model includes: The operating standby adjustment power of each generator is input into the seventh formula to obtain the generator dispatching cost information of the power network.

9. The power communication network joint optimization method according to claim 6, characterized in that: The power network model includes: an eighth formula, which is: Among them, C P represents the load aggregator dispatch cost of the power network, represents the operating reserve regulation power of load aggregator a, a represents the load aggregator, and A represents the set of load aggregators; The step of determining the load aggregator dispatching cost information of the power network according to the operating reserve adjustment power of each load aggregator and the power network model includes: The operating reserve adjustment power of each load aggregator is input into the eighth formula to obtain the load aggregator dispatching cost information of the power network.

10. The power communication network joint optimization method according to claim 1, characterized in that: The power communication network joint optimization model includes: the ninth formula, the ninth formula is: minC ISO =C G +C P +C F , where C G represents the generator dispatching cost of the power network, C P represents the load aggregator dispatch cost of the power network, C F represents the communication cost of the power network, C ISO represents the total dispatch cost of the power network; Determining the target total dispatching cost information of the power network according to the communication cost information, the generator dispatching cost information, the load aggregator dispatching cost information and a pre-built power communication network joint optimization model includes: The communication cost information, the generator dispatching cost information and the load aggregator dispatching cost information are input into the ninth formula to obtain the target total dispatching cost information of the power network.

11. An electronic device, characterized in that: The electronic device comprises: a memory and a processor, wherein the memory stores a computer program that can be run on the processor, and when the processor executes the computer program, the steps of the method described in any one of claims 1 to 10 are implemented.

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