Power distribution network comprehensive energy and distributed wind-solar cooperative operation method, system and equipment

Abstract

The embodiment of the invention discloses a power distribution network integrated energy and distributed wind and light collaborative operation method, system and equipment. A transformer area integrated energy system carbon emission model is constructed by combining a CHP unit of a transformer area integrated energy system and an operation mode between a distributed photovoltaic power generation system and a distributed wind power generation system in a distributed wind and light cluster; on the premise of the cooperative operation mode, an operation optimization model of the distributed wind power generation system, the distributed photovoltaic power generation system and the transformer area integrated energy system is established, so that a bargaining game cooperative operation model among the transformer area integrated energy system, the distributed photovoltaic power generation system and the distributed wind power generation system is obtained; according to the method, the power transaction volume and the power transaction price are obtained, so that the low-carbon regulation capability of the transformer area comprehensive energy system is completely analyzed from the perspective of carbon emission and the perspective of cooperative operation of a plurality of units and a plurality of main bodies, and the prediction accuracy of the system on the carbon emission is improved.

Description

[Technical field]

[0001] The present invention relates to the technical field of power system demand response, and in particular to a method, system and equipment for coordinated operation of integrated energy of a distribution network and distributed wind and solar power. [Background technology]

[0002] The existing system carbon emission models and low-carbon regulation capacity quantification mainly consider the flexibility of CHP unit operation within the system, and quantify the system's carbon emissions from the carbon emissions of energy supply units. There is no system carbon emission model constructed from the perspective of cooperative operation between multiple units and multiple entities within the system based on carbon emission flow theory, and no analysis of the system's low-carbon regulation capacity.

[0003] At the same time, the existing multi-agent collaborative operation strategy of wind-solar-integrated energy system based on cooperative game mainly optimizes the system's multi-agent collaborative operation from an economic perspective, without considering the system's carbon emission factors and the accuracy of the response system's carbon emission prediction. [Summary of the invention]

[0004] In view of this, the present invention provides a method, system and equipment for coordinated operation of distribution network integrated energy and distributed wind and solar power.

[0005] The specific technical scheme of the first embodiment of the present invention is: a method for coordinated operation of integrated energy of distribution network and distributed wind and solar, the method comprising: constructing a carbon emission model of the integrated energy system of the substation according to the operation mode between the CHP unit of the integrated energy system of the substation, the distributed photovoltaic power generation system in the distributed wind and solar cluster and the distributed wind power generation system; determining the power supply mode of the integrated energy system of the substation according to the cooperation mode between the integrated energy system of the substation and the distributed photovoltaic power generation system and the distributed wind power generation system; the cooperation mode includes a non-cooperative operation mode and a cooperative operation mode; obtaining a first low-carbon operation characteristic of the integrated energy system of the substation under the non-cooperative operation mode, and obtaining a second low-carbon operation characteristic of the integrated energy system of the substation under the cooperative operation mode; obtaining a target cooperation mode of the integrated energy system of the substation according to the first low-carbon operation and the second low-carbon operation characteristics; the target cooperation mode is a cooperative operation mode; establishing a cooperative operation model according to the income of the distributed wind power generation system from selling electricity to the distribution network, the income of the distributed wind power generation system from selling electricity to the integrated energy system of the substation, the maintenance cost of the distributed wind power generation system and the grid access fee of the distributed wind power generation system The first operation optimization model of the distributed wind power generation system under the above formula is established; the second operation optimization model of the distributed photovoltaic power generation system is established according to the income of the distributed photovoltaic power generation system from selling electricity to the distribution network, the income of the distributed photovoltaic power generation system from selling electricity to the integrated energy system of the substation, the maintenance cost of the distributed photovoltaic power generation system and the grid access fee of the distributed photovoltaic power generation system; the third operation optimization model of the substation integrated energy system is established according to the income of the distributed wind power generation system from selling electricity to the substation integrated energy system, the income of the distributed photovoltaic power generation system from selling electricity to the substation integrated energy system, the cost of the substation integrated energy system purchasing electricity from the distribution network, the natural gas cost, the environmental cost and the maintenance cost of the substation integrated energy system; based on the first operation optimization model, the second operation optimization model and the third operation optimization model, a bargaining game cooperation operation model between the substation integrated energy system, the distributed photovoltaic power generation system and the distributed wind power generation system is established; the bargaining game cooperation operation model is solved to obtain the power transaction volume and power transaction price between the substation integrated energy system, the distributed photovoltaic power generation system and the distributed wind power generation system.

[0006] Preferably, the carbon emission model of the substation integrated energy system is constructed according to the operation mode between the CHP units of the substation integrated energy system, the distributed photovoltaic power generation system in the distributed wind and solar cluster, and the distributed wind power generation system, including: constructing the carbon content per unit power of the grid according to the carbon emission intensity of the coal-fired power generation units, the electric power output of the coal-fired power generation units in the power grid, the power sold by the distributed wind power generation system to the power grid, and the power sold by the distributed photovoltaic power generation system to the power grid; constructing the carbon emissions input from the distribution network according to the carbon content per unit power of the grid and the electric power input from the power grid to the substation integrated energy system; constructing the carbon emission model of the substation integrated energy system according to the carbon emissions input from the distribution network and the actual carbon emissions of the CHP units in the substation integrated energy system.

[0007] Preferably, the carbon content per unit power of the power grid is obtained using the following formula:

[0008]

[0009] Among them, μ grid,t is the carbon content per unit power of the grid, μ coal is the carbon emission intensity of the coal-fired power generation unit, is the electric power output by the coal-fired power generation unit in the power grid, The power sold by the distributed wind power generation system to the grid. The power sold by distributed photovoltaic power generation systems to the power grid.

[0010] Preferably, the first operation optimization model is obtained using the following formula:

[0011]

[0012] Among them, U WF For the first run the optimization model is The income from the distributed wind power generation system selling electricity to the distribution network, The income from the sale of electricity by the distributed wind power generation system to the integrated energy system in the substation area is is the maintenance cost of the distributed wind power generation system, It is the grid access fee of the distributed wind power generation system.

[0013] Preferably, the second operation optimization model is obtained using the following formula:

[0014]

[0015] Among them, U PV For the second run the optimization model is The income from the distributed photovoltaic power generation system selling electricity to the distribution network, The income from the distributed photovoltaic power generation system selling electricity to the integrated energy system in the substation area. is the maintenance cost of the distributed wind power generation system, It is the grid access fee of the distributed photovoltaic power generation system.

[0016] Preferably, the third operation optimization model is obtained using the following formula:

[0017]

[0018] Among them, U IES Optimizing the model for the third run, The income from the sale of electricity from the distributed wind power generation system to the integrated energy system in the substation area, The income from the sales of electricity from the distributed photovoltaic power generation system to the integrated energy system in the substation area, The cost of purchasing electricity from the distribution network for the integrated energy system in the substation area, is the natural gas cost, is the environmental cost, is the maintenance cost of the integrated energy system in the substation.

[0019] Preferably, based on the first operation optimization model, the second operation optimization model and the third operation optimization model, a bargaining game cooperative operation model is established between the substation integrated energy system, the distributed photovoltaic power generation system and the distributed wind power generation system, including: obtaining a first operation benefit of the substation integrated energy system before cooperation; obtaining a second operation benefit of the wind and solar generators before cooperation; obtaining a third operation benefit of the distributed photovoltaic power generation system before cooperation; and obtaining the bargaining game cooperative operation model based on the Nash bargaining game framework according to the first operation benefit, the second operation benefit, the third operation benefit, the first operation optimization model, the second operation optimization model and the third operation optimization model.

[0020] Preferably, the bargaining game cooperation operation model is obtained using the following formula:

[0021]

[0022] Among them, U IES Optimizing the model for the third run, For the first operational benefit, U WF For the first run the optimization model is For the second operating benefit, U PV For the second run the optimization model is For the third operating benefit.

[0023] The specific technical solution of the second embodiment of the present invention is: a distribution network integrated energy and distributed wind and solar collaborative operation system, the system includes: a model building module, a power supply mode determination module, a low-carbon operation characteristics acquisition module, a cooperation mode acquisition module, an optimization module, a bargaining model acquisition module and a solution module; the model building module is used to build a carbon emission model of the integrated energy system of the substation according to the operation mode between the CHP unit of the integrated energy system of the substation, the distributed photovoltaic power generation system in the distributed wind and solar cluster, and the distributed wind power generation system; the power supply mode determination module includes a cooperation model based on the integrated energy system of the substation and the distributed photovoltaic power generation system and the distributed wind power generation system. mode, determine the power supply mode of the integrated energy system in the substation area; the cooperation mode includes a non-cooperative operation mode and a cooperative operation mode; the low-carbon operation characteristic acquisition module is used to obtain the first low-carbon operation characteristic of the integrated energy system in the substation area under the non-cooperative operation mode, and obtain the second low-carbon operation characteristic of the integrated energy system in the substation area under the cooperative operation mode; the cooperation mode acquisition module is used to obtain the target cooperation mode of the integrated energy system in the substation area according to the first low-carbon operation and the second low-carbon operation characteristics; the target cooperation mode is a cooperative operation mode; the optimization module is used to obtain the target cooperation mode of the integrated energy system in the substation area according to the income of the distributed wind power generation system from selling electricity to the distribution network, the income of the distributed wind power generation system from selling electricity to the substation area The first operation optimization model of the distributed wind power generation system under the cooperative operation mode is established based on the income from electricity sales of the energy system, the maintenance cost of the distributed wind power generation system and the grid access fee of the distributed wind power generation system; the second operation optimization model of the distributed photovoltaic power generation system is established based on the income from electricity sales of the distributed photovoltaic power generation system to the distribution network, the income from electricity sales of the distributed photovoltaic power generation system to the integrated energy system in the substation, the maintenance cost of the distributed photovoltaic power generation system and the grid access fee of the distributed photovoltaic power generation system; the second operation optimization model of the distributed photovoltaic power generation system is established based on the income from electricity sales of the distributed wind power generation system to the integrated energy system in the substation, the income from electricity sales of the distributed photovoltaic power generation system to the integrated energy system in the substation, the purchase of electricity from the distribution network by the integrated energy system in the substation The third operation optimization model of the substation integrated energy system is established based on the cost of electricity, the cost of natural gas, the environmental cost and the maintenance cost of the substation integrated energy system; the bargaining model acquisition module is used to establish a bargaining game cooperative operation model among the substation integrated energy system, the distributed photovoltaic power generation system and the distributed wind power generation system based on the first operation optimization model, the second operation optimization model and the third operation optimization model; the solution module is used to solve the bargaining game cooperative operation model to obtain the power transaction volume and power transaction price among the substation integrated energy system, the distributed photovoltaic power generation system and the distributed wind power generation system.

[0024] The specific technical solution of the third embodiment of the present invention is: a distribution network integrated energy and distributed wind and solar collaborative operation equipment, including an energy system and a distributed wind and solar cluster collaborative operation method as described in any one of the first embodiments of the present application

[0025] Implementing the embodiments of the present invention will have the following beneficial effects:

[0026] The present invention constructs a carbon emission model of the integrated energy system of the substation by combining the operation modes of the CHP units of the integrated energy system of the substation, the distributed photovoltaic power generation system in the distributed wind and solar cluster, and the distributed wind power generation system; and establishes the operation optimization models of the distributed wind power generation system, the distributed photovoltaic power generation system and the integrated energy system of the substation based on the cooperative operation mode, so as to obtain the bargaining game cooperative operation model between the integrated energy system of the substation, the distributed photovoltaic power generation system and the distributed wind power generation system, solve the bargaining game cooperative operation model, and obtain the power transaction volume and power transaction price between the integrated energy system of the substation, the distributed photovoltaic power generation system and the distributed wind power generation system, so as to realize the low-carbon regulation capability of the integrated energy system of the substation from the perspective of carbon emissions and the cooperative operation of multiple units and multiple entities, and improve the accuracy of the system's prediction of carbon emissions.

Brief Description of the Drawings

[0027] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0028] Figure 1 It is a flowchart of the steps of the coordinated operation method of the integrated energy of the distribution network and the distributed wind and solar power;

[0029] Figure 2 A flowchart of the steps for constructing a carbon emission model for the integrated energy system in the substation;

[0030] Figure 3 This is the low-carbon operation characteristic diagram of DIES for independent operation of CHP;

[0031] Figure 4 This is the low-carbon operation characteristic diagram of DIES when EB and CHP are operated jointly;

[0032] Figure 5 The low-carbon operation characteristic diagram of DIES interacting with the distribution network;

[0033] Figure 6 The low-carbon operation characteristic diagram of DIES with coordinated distribution network, PV and WT;

[0034] Figure 7 This is a schematic diagram of the structure of the distribution network integrated energy and distributed wind and solar collaborative operation system;

[0035] Among them, 301 is a model building module; 302 is a power supply mode determination module; 303 is a low-carbon operation characteristic acquisition module; 304 is a cooperation model acquisition module; 305 is an optimization module; 306 is a bargaining model acquisition module; and 307 is a solution module. [Specific implementation method]

[0036] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments.

[0037] The embodiments in the application and all other embodiments obtained by ordinary technicians in this field without making any creative work are within the scope of protection of this application.

[0038] The terms "first", "second", etc. in the specification, claims and drawings of this application are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or modules is not limited to the listed steps or modules, but optionally includes steps or modules that are not listed, or optionally includes other steps or modules that are inherent to these processes, methods, products or devices.

[0039] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0040] See also Figure 1 , is a flowchart of the steps of a method for coordinated operation of integrated energy of a distribution network and distributed wind and solar power in the first embodiment of the present application, which improves the accuracy of the system's prediction of carbon emissions. The method includes:

[0041] Step 101, constructing a carbon emission model of the integrated energy system in the substation area according to the operation mode between the CHP units of the integrated energy system in the substation area, the distributed photovoltaic power generation system in the distributed wind and solar cluster, and the distributed wind power generation system;

[0042] Specifically, for the integrated energy system in the substation, its carbon emission sources include two parts, namely, the carbon emissions generated by the combined heat and power (CHP) units in the integrated energy system in the substation and the carbon emissions imported from the distribution network;

[0043] Step 102: Determine the power supply mode of the integrated energy system in the substation area according to the cooperation mode between the integrated energy system in the substation area and the distributed photovoltaic power generation system and the distributed wind power generation system; the cooperation mode includes a non-cooperative operation mode and a cooperative operation mode;

[0044] Specifically, in the non-cooperative operation mode, distributed photovoltaic power generation systems and distributed wind power generation systems are directly connected to the grid, and the District-level Integrated Energy System (DIES) is powered by the distribution network; in the cooperative operation mode, the power demand of DIES is provided by distributed photovoltaic power generation systems (PV), distributed wind power generation systems (WT) and the distribution network. In this mode, WT and PV can sell clean electricity to DIES and the distribution network at the same time;

[0045] Step 103: obtaining a first low-carbon operation characteristic of the integrated energy system of the substation in a non-cooperative operation mode, and obtaining a second low-carbon operation characteristic of the integrated energy system of the substation in a cooperative operation mode;

[0046] Step 104: acquiring a target cooperation mode of the integrated energy system of the substation area according to the first low-carbon operation characteristics and the second low-carbon operation characteristics; the target cooperation mode is a cooperative operation mode;

[0047] Specifically, the target cooperation mode for obtaining the integrated energy system of the substation area is determined by analyzing the low-carbon operation characteristics of DIES containing CHP, the low-carbon operation characteristics of DIES containing CHP and electric boiler (EB), the low-carbon operation characteristics of DIES interacting with the distribution network, and the low-carbon operation characteristics of DIES coordinated with the distribution network, PV and WT;

[0048] Step 105: Income from selling electricity from the distributed wind power generation system to the distribution network Revenue from the sale of electricity from distributed wind power generation systems to integrated energy systems in the substations Maintenance costs of distributed wind power generation systems and the grid connection costs of distributed wind power generation systems The first operation optimization model of the distributed wind power generation system U WF ;

[0049] Specifically, considering the power transaction between WT and DIES, the entities that conduct power transactions with WT include the distribution network and DIES. WT's operating income includes the income from selling power to the distribution network and DIES, and its operating costs include maintenance costs and network access fees when trading with DIES;

[0050] Step 106: Based on the income U of the distributed photovoltaic power generation system from selling electricity to the distribution network PV , income from the sale of electricity from distributed photovoltaic power generation systems to integrated energy systems in substations Maintenance cost of distributed photovoltaic power generation system and the grid connection costs of distributed photovoltaic power generation systems Establish the second operation optimization model U of distributed photovoltaic power generation system PV ;

[0051] Specifically, PV operating revenue includes revenue from selling electricity to the distribution grid and DIES, and operating costs include maintenance costs and grid access fees when trading with DIES;

[0052] Step 107: Income from the sale of electricity from the distributed wind power generation system to the integrated energy system in the substation area Income from the sale of electricity from distributed photovoltaic power generation systems to integrated energy systems in substations The cost of purchasing electricity from the distribution network for the integrated energy system in the substation Natural gas costs Environmental costs Maintenance costs of integrated energy systems in the region Establish the third operation optimization model U of the integrated energy system in the substation area IES ;

[0053] Specifically, DIES optimizes the operation strategy to decide the power purchased from the distribution network, WT and PV, minimizing the operation cost and reducing carbon emissions. The operation cost of DIES includes the cost of purchasing electricity from the distribution network, WT and PV, natural gas cost, environmental cost and operation and maintenance cost;

[0054] Step 108: Based on the first operation optimization model, the second operation optimization model and the third operation optimization model, a bargaining game cooperation operation model is established among the integrated energy system of the substation, the distributed photovoltaic power generation system and the distributed wind power generation system;

[0055] Specifically, in the cooperative operation mode, the decision-making processes of PV, WT and DIES are tightly coupled, which significantly increases the difficulty of modeling the optimization problem. In addition, since PV, WT and DIES are different stakeholders, global sharing of data information cannot be achieved, and centralized solution methods are difficult to apply. Considering that the Nash bargaining game model can not only improve the benefits of each participant, but also maximize the comprehensive benefits of the cooperative alliance, it can be used to characterize the complex interactive relationships of multi-dimensional collaboration such as power balance and price information interaction among PV, WT and DIES. Therefore, this embodiment constructs a PV, WT and DIES cooperative operation optimization model based on the Nash bargaining game, that is, a bargaining game cooperative operation model;

[0056] Step 109, solving the bargaining game cooperation operation model to obtain the power transaction volume and power transaction price between the substation integrated energy system, the distributed photovoltaic power generation system and the distributed wind power generation system.

[0057] This embodiment constructs a carbon emission model of the substation comprehensive energy system by combining the operation modes of the CHP units of the substation comprehensive energy system, the distributed photovoltaic power generation system in the distributed wind and solar cluster, and the distributed wind power generation system; and establishes the operation optimization model of the distributed wind power generation system, the distributed photovoltaic power generation system and the substation comprehensive energy system based on the cooperative operation mode, so as to obtain the bargaining game cooperative operation model between the substation comprehensive energy system, the distributed photovoltaic power generation system and the distributed wind power generation system, solve the bargaining game cooperative operation model, and obtain the power transaction volume and power transaction price between the substation comprehensive energy system, the distributed photovoltaic power generation system and the distributed wind power generation system, so as to realize the low-carbon regulation capability of the substation comprehensive energy system from the perspective of carbon emissions and the cooperative operation of multiple units and multiple entities, so as to improve the accuracy of the system's prediction of carbon emissions.

[0058] In the specific embodiments, see Figure 2 In step 101, a carbon emission model of the integrated energy system in the substation is constructed according to the operation mode between the CHP units of the integrated energy system in the substation, the distributed photovoltaic power generation system in the distributed wind and solar cluster, and the distributed wind power generation system, including:

[0059] Step 201: Based on the carbon emission intensity μ of the coal-fired power generation unit coal , the power output of coal-fired generators in the power grid Power sold by distributed wind power generation systems to the grid and the power sold by distributed photovoltaic power generation systems to the grid Construct the carbon content per unit power of the power grid μ grid,t ;

[0060] Step 202: According to the carbon content per unit power μ of the power grid grid,t and the electric power input from the power grid to the integrated energy system of the substation area Construct the carbon emissions Q imported from the distribution grid grid,t ;

[0061] Step 203: Based on the carbon emission Q input from the distribution network grid,t Actual carbon emissions of CHP units in the Hetai District integrated energy system CHP,t Construct the carbon emission model Q of the integrated energy system in the substation area IES,t .

[0062] Specifically, for the integrated energy system of the substation, its carbon emission sources include two parts, namely, the carbon emissions generated by the cogeneration units within the integrated energy system of the substation and the carbon emissions input from the distribution network.

[0063] Q IES,t =Q CHP,t +Q grid,t

[0064] Among them, Q IES,t is the actual carbon emission of the system; Q CHP,t is the actual carbon emission of the CHP unit in the system; Q grid,t is the carbon emissions imported from the distribution grid.

[0065] The carbon emissions generated by the CHP units in the integrated energy system of the substation are calculated by the natural gas consumed by the CHP units, and the carbon emissions imported from the distribution network are calculated by the carbon content per unit power of the grid and the power input to the distribution network. If the distribution network gives priority to delivering clean electricity to DIES, and the insufficient electricity is supplied by thermal power units, then:

[0066]

[0067]

[0068] Among them, μ gas is the carbon emission intensity of natural gas combustion; μ coal is the carbon emission intensity of coal-fired power generation units; μ grid,t is the carbon content per unit power of the grid; It is the electric power input to DIES from the grid; It is the electrical power output by coal-fired generating units in the power grid; The power sold by the distributed wind power generation system to the grid. is the power sold by the distributed photovoltaic power generation system to the grid, P CHP,t is the electrical power of the CHP unit, η CHP is the operating efficiency of the CHP unit, LHV ng It is the lower calorific value of natural gas.

[0069] According to the above analysis, the main factors affecting the carbon emissions of DIES input to the distribution network include the carbon content per unit power of the grid μ grid,t And the power of DIES input from the grid However, the operation mode of PV, WT and DIES directly determines the calculation mode of the above two key parameters. Therefore, this embodiment establishes a calculation model of the above two key factors under different operation modes.

[0070] In a specific embodiment, the step 103 of obtaining the first low-carbon operation characteristic of the integrated energy system of the substation in the non-cooperative operation mode and obtaining the second low-carbon operation characteristic of the integrated energy system of the substation in the cooperative operation mode includes:

[0071] 1. Non-cooperative operation mode

[0072] In the non-cooperative operation mode, WT and PV are directly connected to the grid, and DIES is powered by the distribution grid. Then:

[0073]

[0074] Among them, P WF,t is the power generated by WT; P PV,t is the power generated by the PV; is the electrical power demand of DIES, is the electric load of the integrated energy system in the substation area, is the energy storage charging power, P EB,t is the electrical power consumed by the electric boiler, is the discharge power of the electric energy storage. In this mode, the carbon content per unit power of the power grid has the following two situations:

[0075] (1) If The clean electricity from PV and WT in the distribution network can meet the electricity demand of DIES, and the power supplied by the distribution network to DIES is all clean electricity, so:

[0076]

[0077] (2) If If the PV and WT clean electricity in the distribution network cannot meet the electricity demand of DIES, the electricity supplied to DIES is a mixture of clean electricity and coal-fired electricity, then:

[0078]

[0079] 2. Cooperative operation mode

[0080] In the cooperative operation mode, the power demand of DIES is provided by WT, PV and distribution network. In this mode, WT and PV can sell clean electricity to DIES and distribution network at the same time, then:

[0081]

[0082] in, is the electric power sold by WT to DIES, It is the electric power sold by PV to DIES.

[0083] Under this mode, there are three situations for the carbon content per unit power of the power grid.

[0084] (1) If Then the clean electricity purchased by DIES from WT and PV can meet the electricity demand, and DIES does not need to purchase electricity from the distribution network, so:

[0085]

[0086] (2) If and The clean electricity purchased by DIES from WT and PV cannot meet the needs of DIES, but the remaining power can be sold by WT and PV to the distribution network for full clean power supply. At this time, thermal power units are not needed to participate in DIES power supply, so:

[0087]

[0088] if and The clean electricity purchased by DIES from WT and PV cannot meet the needs of DIES. The shortfall needs to be supplied by the distribution network. However, the clean electricity sold by WT and PV to the distribution network is far less than the DIES power shortfall. At this time, thermal power units are needed to participate in DIES power supply. Then:

[0089]

[0090] In a specific embodiment, in step 104, obtaining the target cooperation mode of the integrated energy system of the substation area according to the first low-carbon operation characteristics and the second low-carbon operation characteristics includes:

[0091] 3. Low-carbon operation characteristics of DIES containing CHP

[0092] like Figure 3 As shown in Figure 1, CHP is the main carbon emission source of DIES, and its operating characteristics directly affect the low-carbon operation effect of DIES. Therefore, the low-carbon operation characteristics of DIES under the independent operation mode of CHP are first analyzed.

[0093] Figure 3 In, α CHP is the heat-to-electricity ratio of the CHP unit, P CHP,min is the minimum electrical power of the CHP unit, P CHP,max is the maximum electrical power of the CHP unit, P tload,min It is the minimum heat load of the integrated energy system in the substation.

[0094] In DIES, CHP usually uses internal combustion engines as the main power source and the waste heat of the internal combustion engines as the heat source for heat load supply. Figure 3It can be seen that the electricity-heat relationship of CHP is linear, that is, under given thermal power conditions, its electric power is fixed and cannot be adjusted. At this time, the operation mode of CHP is a strict "heat-to-electricity" mode. In the "heat-to-electricity" mode, the operation flexibility of CHP is poor, and its maximum and minimum output electric power are strictly constrained by the maximum and minimum thermal power, resulting in a small adjustment space for CHP carbon emissions.

[0095] 4. Low-carbon operation characteristics of DIES containing CHP and EB

[0096] like Figure 4 As shown, electric boilers (EB) are usually configured in DIES to work in conjunction with CHP to achieve decoupling of CHP's electric and thermal operations, break the rigid constraints of the "electricity based on heat" model, and improve CHP's carbon emission regulation capability and flexibility. Figure 4 In, α EB is the electrothermal conversion efficiency of EB, P EB is the electrical power of the EB unit.

[0097] like Figure 4 As shown in Figure 2, when EB and CHP are combined to provide heat, the minimum heat output power point B of CHP moves to the right by α EB P EB , and moves to B', forming a new CHP operating range, namely quadrilateral ABB'A'. In the new operating range, the minimum thermal output power of CHP decreases, the minimum electrical output power decreases, the CHP electrical-thermal power adjustment range increases, and the minimum carbon emissions of CHP Smaller, DIES has a wider carbon emissions regulation range.

[0098] 5. Low-carbon operation characteristics of DIES interacting with distribution networks

[0099] Normally, DIES does not operate independently, but is connected to the distribution network. Figure 4 The internal regulation capability of DIES shown in the figure will affect the minimum output power of CHP when the distribution network participates in DIES operation. Figure 5 As shown in Figure 2, after the distribution network participates in DIES operation, the minimum output power point B of CHP moves downward. and moves to B”, forming a new operating range of CHP, namely polygon ABB'B”A”'A”A. In the new operating range, the minimum output power of CHP remains unchanged, which is Figure 4 Compared with the above, the minimum electric output power is reduced and the adjustment range of CHP electric and thermal power is increased. However, although the distribution network participates in DIES operation to reduce the minimum electric output power of CHP, it leads to the lowest carbon emissions of CHP. The carbon emission sources of DIES have been decreasing continuously, but the carbon emission sources of DIES have also increased. In this case, the carbon emission sources of DIES include CHP and distribution network. If the carbon content of power per unit of power of the power grid is high when the power grid supplies power to DIES from the distribution network, it will be Figure 4 Compared with the in, It is the electric power input from the distribution network to the integrated energy system of the substation.

[0100] 6. DIES low-carbon operation characteristics of distribution network, PV and WT

[0101] DIES can operate in a cooperative mode with PV and WT. In this mode, the distribution grid, PV and WT are external regulation resources of DIES, such as Figure 6 shown. Figure 6 middle, It is the electric power directly input from PV to the integrated energy system in the substation area. It is the electric power directly input from WT to the integrated energy system of the substation.

[0102] according to Figure 5 The regulation capacity of the distribution network shown in Figure 2, when PV and WT participate in DIES operation, will affect the minimum output power P of CHP. CHP,min and the regulation capacity of the distribution network. Figure 6 As shown in Figure 2, after PV and WT participate in DIES operation, the minimum output power point B' of CHP moves downward. And move to B”', forming a new operating range of CHP, that is, polygon ABB'B”B”'C”C'A”A, the new operating range formed is larger than Figure 5 In the new operating range, the minimum thermal output power of CHP remains unchanged, the minimum electrical output power decreases, and the adjustment range of CHP electrical and thermal power increases. DIES has a stronger and more flexible regulation capability. First, the participation of PV and WT in DIES operation further reduces the minimum electrical output power of CHP, but does not increase the carbon emission source. Second, PV and WT compress the space for the distribution network to participate in the adjustment of DIES operation, which can reduce the carbon emissions input from the distribution network to DIES.

[0103] In a specific embodiment, the first operation optimization model is obtained using the following formula:

[0104]

[0105] Among them, U WF For the first run the optimization model is The income from the distributed wind power generation system selling electricity to the distribution network, The income from the sale of electricity by the distributed wind power generation system to the integrated energy system in the substation area is is the maintenance cost of the distributed wind power generation system, It is the grid access fee of the distributed wind power generation system.

[0106] Specifically, considering the power transaction between WT and DIES, the entities that conduct power transactions with WT include the distribution network and DIES. The operating income of WT includes the income from selling electricity to the distribution network and DIES, and the operating costs include maintenance costs and network access fees when trading with DIES. The WT operating benefit maximization model (the first operating optimization model) can be expressed as follows:

[0107]

[0108] in, and It is the income from WT selling electricity to the distribution grid and DIES; and It is the maintenance cost of WT and the network access fee; is the on-grid electricity price of WT; is the price of electricity sold by WT to DIES; is the maintenance cost coefficient of WT; w WF and v WF It is the WT transmission fee coefficient.

[0109] In a specific embodiment, the second operation optimization model is obtained using the following formula:

[0110]

[0111] Among them, U PV For the second run the optimization model is The income from the distributed photovoltaic power generation system selling electricity to the distribution network, The income from the distributed photovoltaic power generation system selling electricity to the integrated energy system in the substation area. is the maintenance cost of the distributed wind power generation system, It is the grid access fee of the distributed photovoltaic power generation system.

[0112] Specifically, the operating income of PV includes the income from selling electricity to the distribution network and DIES, and the operating costs include maintenance costs and network access fees when trading with DIES. The PV operating benefit maximization model (the second operating optimization model) can be expressed as:

[0113]

[0114] Among them, U PV and It is the revenue from PV selling electricity to the distribution grid and DIES; and It is the maintenance cost of PV and the cost of connecting to the grid; is the PV on-grid electricity price; is the price of electricity sold by PV to DIES; is the maintenance cost coefficient of PV; w PV and v PV It is the PV transmission fee coefficient.

[0115] In a specific embodiment, the third operation optimization model is obtained using the following formula:

[0116]

[0117] Among them, U IES Optimizing the model for the third run, The income from the sale of electricity from the distributed wind power generation system to the integrated energy system in the substation area, The income from the sales of electricity from the distributed photovoltaic power generation system to the integrated energy system in the substation area, The cost of purchasing electricity from the distribution network for the integrated energy system in the substation area, is the natural gas cost, is the environmental cost, is the maintenance cost of the integrated energy system in the substation.

[0118] Specifically, DIES optimizes the operation strategy to decide the power purchased from the distribution network, WT and PV, so as to minimize the operation cost and reduce carbon emissions. The operation cost of DIES includes the cost of purchasing electricity from the distribution network, WT and PV, natural gas cost, environmental cost and operation and maintenance cost. The profit maximization model of DIES (the third operation optimization model) can be expressed as:

[0119]

[0120] in, is the cost of DIES purchasing electricity from the distribution grid; for natural gas costs; It is the environmental cost; is the maintenance cost, U IES is the operating benefit of DIES, c gas is the natural gas price, c co2 is the carbon trading price, Q quato,t is the carbon quota of DIES, is the on-grid electricity price of DIES in the distribution network, T is the optimization time period, k is the number of units in DIES, c k is the operation and maintenance cost coefficient of the kth unit, P k,tis the operating power of the kth unit.

[0121] To ensure power balance in DIES and safe operation of the system, the following constraints must be met:

[0122]

[0123] in, is the DIES electrical load, α CHP is the heat-to-electricity ratio of the CHP unit, η EB is the electric-to-heat conversion efficiency of the EB unit, P EB,t is the electrical power of the EB unit, is the thermal storage power of the thermal energy storage, is the heat release power of the thermal energy storage, is the DIES heat load.

[0124] In a specific embodiment, based on the first operation optimization model, the second operation optimization model and the third operation optimization model, a bargaining game cooperation operation model is established between the integrated energy system of the substation, the distributed photovoltaic power generation system and the distributed wind power generation system, including: obtaining the first operation benefit of the integrated energy system of the substation before the cooperation Obtain the second operating benefits of wind and solar generators before cooperation Obtain the third operating benefits of the distributed photovoltaic power generation system before cooperation According to the first operating benefit The second operating benefit The third operating benefit The first operation optimization model, the second operation optimization model and the third operation optimization model obtain the bargaining game cooperative operation model based on the Nash bargaining game framework.

[0125] Specifically, in the collaborative optimization problem, if PV, WT and DIES are all rational decision makers seeking to minimize their own costs or maximize their own benefits. Under the framework of the Nash bargaining game, a mutually beneficial agreement can be reached through negotiation. For a Nash bargaining game involving N participants, all parties hope to stay as far away from the negotiation breakdown point as possible during the negotiation process to maximize their own interests. Therefore, the solution to the Nash bargaining game model is essentially an evolution process from the negotiation breakdown point to the fair negotiation point. The standard Nash bargaining problem can be expressed as:

[0126]

[0127] Where N is the number of negotiation participants; U n It is the alliance interests of the negotiating parties; It is the negotiation breaking point of the negotiating subjects, that is, the interests before the cooperation is put into operation; is the increased benefit of negotiation participants after cooperation, and st represents the constraint condition.

[0128] In a specific embodiment, the bargaining game cooperation operation model is obtained using the following formula:

[0129]

[0130] Among them, U IES Optimizing the model for the third run, For the first operational benefit, U WF For the first run the optimization model is For the second operating benefit, U PV For the second run the optimization model is The third operation benefit. Specifically, and They are the negotiation breaking points of DIES, WT and PV, i.e., the operating benefits of DIES, WT and PV before cooperative operation.

[0131] In a specific embodiment, the bargaining game cooperative operation model is solved to obtain the power transaction volume and power transaction price between the integrated energy system of the substation, the distributed photovoltaic power generation system and the distributed wind power generation system, including: a model conversion process and a solution algorithm based on ADMM; specifically:

[0132] 7. Model conversion process

[0133] The bargaining game cooperative operation model is a non-convex nonlinear optimization problem with multiple variables coupled. This embodiment converts the bargaining game cooperative operation model into two sub-problems that are easy to solve.

[0134] Sub-problem 1: The problem of maximizing the operating benefits of the WT, PV, and DIES alliance is as follows:

[0135]

[0136] in, It is the goal of DIES to maximize the benefits of alliance operation. It is the goal of DIES to maximize the benefits of alliance operation. It is the goal of DIES to maximize the benefits of alliance operation. is the power interaction benefit between DIES and distribution grid.

[0137] Sub-problem 2: The transaction payment bargaining problem between WT, PV, and DIES is as follows:

[0138]

[0139] in, for The optimal solution of for The optimal solution of for The optimal solution of .

[0140] 8. Solution algorithm based on ADMM

[0141] The bargaining game problem defined as described in the model conversion process can be equivalently decomposed into two sub-problems: the operation benefit maximization sub-problem and the benefit distribution sub-problem. Since WT, PV, and DIES are different stakeholders, there is a problem of individual privacy data leakage in centralized optimization. To this end, this embodiment proposes a distributed solution algorithm based on the Alternating Direction Method of Multipliers (ADMM) to obtain the Nash bargaining of the bargaining game cooperative operation model.

[0142] The ADMM algorithm has the characteristics of fast convergence, intuitive form, and strong stability for large-scale variable optimization problems. At the same time, it can fully guarantee the privacy of information during the cooperative operation of each subject, and is widely used in solving multi-agent distributed optimization scenarios. Based on the multi-agent Nash bargaining model established above, the ADMM algorithm is used to solve sub-problems 1 and 2 in turn to obtain the optimal solution of the bargaining game cooperative operation model.

[0143] (1) Solution process of sub-problem 1

[0144] For the model in subproblem 1, an auxiliary variable is introduced and When the following formula is satisfied, it indicates that DIES, WT, and PV have reached a consensus on the transaction.

[0145]

[0146] in, is the electric power that DIES expects to purchase from WT, is the electric power that DIES expects to purchase from PV.

[0147] Negate the model in subproblem 1, transform it into a minimum problem, and introduce the Lagrange multiplier and And the penalty factor ρ WF and ρ PV The augmented Lagrangian function of the model in subproblem 1 can be expressed as follows:

[0148]

[0149] According to the ADMM algorithm, the above formula is decomposed to obtain the distributed optimization operation models of WT, PV and DIES, including;

[0150] 1) First WT operation model

[0151]

[0152] 2) First PV operation model

[0153]

[0154] 3) First DIES operation model

[0155]

[0156] The iterative solution algorithm based on the ADMM algorithm is used to solve the alliance benefit maximization problem of the model in sub-problem 1. The detailed steps of the algorithm are as follows:

[0157] Algorithm 1: Iterative process of solving problem 1 based on ADMM:

[0158] 1: Initialization: Set the maximum number of iterations i tmax =50, convergence accuracy ε = 10 -5 , penalty factor ρ WF =ρ PV =10 -4 , it=0,

[0159] 2: Iteration

[0160] It-th iteration, execute;

[0161] 3: DIES: Given and Solve the first DIES operation model and get and

[0162] 4: WT: Given Solving the first WT operation model, we get

[0163] 5: PV: Given Solve the first PV operation model and get

[0164] 6: Update: Lagrange multipliers

[0165]

[0166] Number of iterations, it = it + 1;

[0167] 7: Until the termination condition is met, that is

[0168]

[0169] 8: End.

[0170] (2) Problem 2 Solution Process

[0171] By solving sub-problem 1, we can obtain the optimal expected transaction power and Will and The model of the transaction payment bargaining problem is introduced to obtain:

[0172]

[0173] For subproblem 2, an auxiliary variable is introduced and When the following formula is satisfied, it indicates that DIES, WT and PV have reached a consensus. The specific formula is:

[0174]

[0175] in, and is the price DIES expects to purchase electricity from WT and PV.

[0176] By introducing the Lagrange multiplier and and the penalty factor and The augmented Lagrangian function of the model of transaction payment bargaining problem can be expressed as the bargaining model of WT, PV and DIES.

[0177] According to the ADMM algorithm, the bargaining models of WT, PV and DIES are decomposed to obtain the bargaining models of WT, PV and DIES, which are as follows:

[0178]

[0179] 1) Second WT operation model

[0180]

[0181] 2) Second PV operation model

[0182]

[0183] 3) Second DIES operation model

[0184]

[0185] The iterative solution algorithm based on ADMM is used to solve the internal payment problem of the alliance described in the transaction payment bargaining problem between WT, PV, and DIES. The detailed steps of the algorithm are as follows:

[0186] Algorithm 2: Iterative process of solving problem 2 based on ADMM:

[0187] 1: Initialization: Set the maximum number of iterations it max =50, convergence accuracy ε = 10 -8 , penalty factor it=0,

[0188] 2: Iteration

[0189] It-th iteration, execute;

[0190] 3: DIES: Given and Solve the second DIES operation model and get and

[0191] 4: WT: given Solve the second WT operation model and get

[0192] 5: PV: Given Solving the second PV operation model, we get

[0193] 6: Update: Lagrange multipliers

[0194]

[0195] Number of iterations, it = it + 1;

[0196] 7: Until the termination condition is met, that is,

[0197]

[0198] 8: End.

[0199] In the specific embodiments, see Figure 7, is a structural diagram of a distribution network integrated energy and distributed wind and solar collaborative operation system in the second embodiment of the present application, the system includes: a model building module 301, a power supply mode determination module 302, a low-carbon operation characteristic acquisition module 303, a cooperation mode acquisition module 304, an optimization module 305, a bargaining model acquisition module 306 and a solution module 307; the model building module 301 is used to build a substation integrated energy system carbon emission model according to the operation mode between the CHP unit of the substation integrated energy system, the distributed photovoltaic power generation system in the distributed wind and solar cluster, and the distributed wind power generation system; the power supply mode determination module 302 includes a substation integrated energy system and a distributed photovoltaic power generation system according to the operation mode between the CHP unit of the substation integrated energy system, the distributed photovoltaic power generation system in the distributed wind and solar cluster, and the distributed wind power generation system. The cooperation mode of the power generation system and the distributed wind power generation system determines the power supply mode of the integrated energy system in the substation; the cooperation mode includes a non-cooperative operation mode and a cooperative operation mode; the low-carbon operation characteristic acquisition module 303 is used to obtain the first low-carbon operation characteristic of the integrated energy system in the substation under the non-cooperative operation mode, and to obtain the second low-carbon operation characteristic of the integrated energy system in the substation under the cooperative operation mode; the cooperation mode acquisition module 304 is used to obtain the target cooperation mode of the integrated energy system in the substation according to the first low-carbon operation and the second low-carbon operation characteristics; the target cooperation mode is a cooperative operation mode; the optimization module 305 is used to obtain the target cooperation mode of the integrated energy system in the substation according to the income of the distributed wind power generation system from selling electricity to the distribution network , the income from electricity sales of distributed wind power generation systems to the integrated energy systems in the substations, the maintenance costs of distributed wind power generation systems and the grid access fees of distributed wind power generation systems are used to establish the first operation optimization model of distributed wind power generation systems under the cooperative operation mode; the second operation optimization model of distributed photovoltaic power generation systems is established based on the income from electricity sales of distributed photovoltaic power generation systems to the distribution network, the income from electricity sales of distributed photovoltaic power generation systems to the integrated energy systems in the substations, the maintenance costs of distributed photovoltaic power generation systems and the grid access fees of distributed photovoltaic power generation systems; the income from electricity sales of distributed wind power generation systems to the integrated energy systems in the substations, the income from electricity sales of distributed photovoltaic power generation systems to the integrated energy systems in the substations, the maintenance costs of distributed photovoltaic power generation systems and the grid access fees of distributed photovoltaic power generation systems are used to establish the second operation optimization model of distributed photovoltaic power generation systems; The cost of purchasing electricity from the distribution network, the natural gas cost, the environmental cost and the maintenance cost of the substation integrated energy system are used to establish a third operation optimization model of the substation integrated energy system; the bargaining model acquisition module 306 is used to establish a bargaining game cooperative operation model between the substation integrated energy system, the distributed photovoltaic power generation system and the distributed wind power generation system based on the first operation optimization model, the second operation optimization model and the third operation optimization model; the solution module 307 is used to solve the bargaining game cooperative operation model to obtain the power transaction volume and power transaction price between the substation integrated energy system, the distributed photovoltaic power generation system and the distributed wind power generation system.

[0200] In a specific embodiment, the third embodiment of the present application provides a distribution network integrated energy and distributed wind and solar collaborative operation device, including an energy system and distributed wind and solar cluster collaborative operation method as described in any one of the first embodiment of the present application.

[0201] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0202] The above embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several modifications and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

[0203] The above description is only a preferred embodiment of the present invention and does not limit the present invention in other forms. Any technician familiar with the profession may use the technical content disclosed above to change or modify it into an equivalent embodiment with equivalent changes and apply it to other fields. However, any simple modification, equivalent change and modification made to the above embodiment based on the technical essence of the present invention without departing from the content of the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A method for coordinated operation of comprehensive energy in distribution network and distributed wind and solar power, characterized in that: The method comprises: The carbon emission model of the integrated energy system in the substation is constructed according to the operation mode between the CHP units of the integrated energy system in the substation, the distributed photovoltaic power generation system in the distributed wind and solar cluster in the distribution network, and the distributed wind power generation system; Determine the power supply mode of the integrated energy system in the substation area according to the cooperation mode between the integrated energy system in the substation area and the distributed photovoltaic power generation system and the distributed wind power generation system; the cooperation mode includes a non-cooperative operation mode and a cooperative operation mode; Obtaining the first low-carbon operation characteristics of the integrated energy system in the substation under the non-cooperative operation mode, and obtaining the second low-carbon operation characteristics of the integrated energy system in the substation under the cooperative operation mode; According to the first low-carbon operation characteristics and the second low-carbon operation characteristics, a target cooperation mode of the integrated energy system of the substation area is obtained; the target cooperation mode is a cooperative operation mode; The first operation optimization model of the distributed wind power generation system under the cooperative operation mode is established according to the income of the distributed wind power generation system from selling electricity to the distribution network, the income of the distributed wind power generation system from selling electricity to the integrated energy system of the substation, the maintenance cost of the distributed wind power generation system and the grid access fee of the distributed wind power generation system; The second operation optimization model of the distributed photovoltaic power generation system is established based on the income of the distributed photovoltaic power generation system from selling electricity to the distribution network, the income of the distributed photovoltaic power generation system from selling electricity to the integrated energy system of the substation, the maintenance cost of the distributed photovoltaic power generation system and the grid access fee of the distributed photovoltaic power generation system; The third operation optimization model of the integrated energy system in the substation is established based on the income from the distributed wind power generation system selling electricity to the integrated energy system in the substation, the income from the distributed photovoltaic power generation system selling electricity to the integrated energy system in the substation, the cost of the integrated energy system in the substation purchasing electricity from the distribution network, the natural gas cost, the environmental cost and the maintenance cost of the integrated energy system in the substation; Based on the first operation optimization model, the second operation optimization model and the third operation optimization model, a bargaining game cooperation operation model is established between the integrated energy system of the substation, the distributed photovoltaic power generation system and the distributed wind power generation system; The bargaining game cooperative operation model is solved to obtain the power transaction volume and power transaction price between the integrated energy system of the substation, the distributed photovoltaic power generation system and the distributed wind power generation system.

2. The method for coordinated operation of the integrated energy of the distribution network and distributed wind and solar power according to claim 1, characterized in that: The carbon emission model of the integrated energy system in the substation is constructed according to the operation mode between the CHP units of the integrated energy system in the substation, the distributed photovoltaic power generation system in the wind and solar cluster, and the distributed wind power generation system, including: The carbon content per unit power of the power grid is constructed based on the carbon emission intensity of coal-fired power generation units, the power output of coal-fired power generation units in the power grid, the power sold by distributed wind power generation systems to the power grid, and the power sold by distributed photovoltaic power generation systems to the power grid; Construct the carbon emissions imported from the distribution network according to the carbon content per unit power of the power grid and the electric power imported from the power grid into the integrated energy system of the substation area; A carbon emission model of the integrated energy system in the substation is constructed based on the carbon emissions input from the distribution network and the actual carbon emissions of the CHP units in the integrated energy system in the substation.

3. The method for coordinated operation of comprehensive energy of distribution network and distributed wind and solar power as claimed in claim 2, characterized in that: The carbon content per unit power of the power grid is obtained by the following formula: Among them, μ grid,t is the carbon content per unit power of the grid, μ coal is the carbon emission intensity of the coal-fired power generation unit, is the electric power output by the coal-fired power generation unit in the power grid, The power sold by the distributed wind power generation system to the grid. The power sold by distributed photovoltaic power generation systems to the power grid.

4. The method for coordinated operation of comprehensive energy of distribution network and distributed wind and solar power according to claim 1, characterized in that: The first operation optimization model is obtained using the following formula: Among them, U WF For the first run the optimization model is The income from the distributed wind power generation system selling electricity to the distribution network, The income from the sale of electricity by the distributed wind power generation system to the integrated energy system in the substation area is is the maintenance cost of the distributed wind power generation system, It is the grid access fee of the distributed wind power generation system.

5. The method for coordinated operation of the integrated energy of the distribution network and distributed wind and solar power according to claim 1, characterized in that: The second operation optimization model is obtained by using the following formula: Among them, U PV For the second run the optimization model is The income from the distributed photovoltaic power generation system selling electricity to the distribution network, The income from the distributed photovoltaic power generation system selling electricity to the integrated energy system in the substation area. is the maintenance cost of the distributed wind power generation system, It is the grid access fee of the distributed photovoltaic power generation system.

6. The method for coordinated operation of the integrated energy of the distribution network and distributed wind and solar power according to claim 1, characterized in that: The third operation optimization model is obtained by using the following formula: Among them, U IES Optimizing the model for the third run, The income from the sale of electricity from the distributed wind power generation system to the integrated energy system in the substation area, The income from the sales of electricity from the distributed photovoltaic power generation system to the integrated energy system in the substation area, The cost of purchasing electricity from the distribution network for the integrated energy system in the substation area, is the natural gas cost, is the environmental cost, is the maintenance cost of the integrated energy system in the substation.

7. The method for coordinated operation of comprehensive energy of distribution network and distributed wind and solar power according to claim 1, characterized in that: The bargaining game cooperation operation model between the integrated energy system of the substation, the distributed photovoltaic power generation system and the distributed wind power generation system is established based on the first operation optimization model, the second operation optimization model and the third operation optimization model, including: Obtain the first operational benefits of the integrated energy system in the front area before the cooperation; Obtain the second operating benefits of wind and solar generators before cooperation; Obtain the third operating benefits of the distributed photovoltaic power generation system before cooperation; According to the first operating benefit, the second operating benefit, the third operating benefit, the first operating optimization model, the second operating optimization model and the third operating optimization model, the bargaining game cooperative operating model is obtained based on the Nash bargaining game framework.

8. The method for coordinated operation of the integrated energy of the distribution network and distributed wind and solar power according to claim 7, characterized in that: The bargaining game cooperation operation model is obtained by the following formula: Among them, U IES Optimizing the model for the third run, For the first operational benefit, U WF For the first run the optimization model is For the second operating benefit, U PV For the second run the optimization model is For the third operating benefit.

9. A distribution network integrated energy and distributed wind and solar collaborative operation system, characterized in that: The system includes: a model building module, a power supply mode determination module, a low-carbon operation characteristic acquisition module, a cooperation mode acquisition module, an optimization module, a bargaining model acquisition module and a solution module; The model building module is used to build a carbon emission model of the integrated energy system in the substation area according to the operation mode between the CHP unit of the integrated energy system in the substation area, the distributed photovoltaic power generation system in the wind and solar cluster, and the distributed wind power generation system; The power supply mode determination module includes determining the power supply mode of the integrated energy system in the substation area according to the cooperation mode between the integrated energy system in the substation area and the distributed photovoltaic power generation system and the distributed wind power generation system; the cooperation mode includes a non-cooperative operation mode and a cooperative operation mode; The low-carbon operation characteristic acquisition module is used to acquire the first low-carbon operation characteristic of the integrated energy system of the substation area under the non-cooperative operation mode, and to acquire the second low-carbon operation characteristic of the integrated energy system of the substation area under the cooperative operation mode; The cooperation mode acquisition module is used to acquire the target cooperation mode of the integrated energy system of the substation area according to the first low-carbon operation and the second low-carbon operation characteristics; the target cooperation mode is a cooperative operation mode; The optimization module is used to establish a first operation optimization model of the distributed wind power generation system under the cooperative operation mode according to the income of the distributed wind power generation system from selling electricity to the distribution network, the income of the distributed wind power generation system from selling electricity to the integrated energy system in the substation, the maintenance cost of the distributed wind power generation system and the grid access fee of the distributed wind power generation system; establish a second operation optimization model of the distributed photovoltaic power generation system according to the income of the distributed photovoltaic power generation system from selling electricity to the distribution network, the income of the distributed photovoltaic power generation system from selling electricity to the integrated energy system in the substation, the maintenance cost of the distributed photovoltaic power generation system and the grid access fee of the distributed photovoltaic power generation system; establish a third operation optimization model of the substation integrated energy system according to the income of the distributed wind power generation system from selling electricity to the integrated energy system in the substation, the income of the distributed photovoltaic power generation system from selling electricity to the integrated energy system in the substation, the cost of the integrated energy system in the substation to purchase electricity from the distribution network, the natural gas cost, the environmental cost and the maintenance cost of the integrated energy system in the substation; The bargaining model acquisition module is used to establish a bargaining game cooperation operation model between the integrated energy system of the substation, the distributed photovoltaic power generation system and the distributed wind power generation system based on the first operation optimization model, the second operation optimization model and the third operation optimization model; The solution module is used to solve the bargaining game cooperative operation model to obtain the power transaction volume and power transaction price between the substation integrated energy system, the distributed photovoltaic power generation system and the distributed wind power generation system.

10. A distribution network integrated energy and distributed wind and solar collaborative operation device, characterized by: It includes the method for coordinated operation of distribution network integrated energy and distributed wind and solar power as described in any one of claims 1-8.

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