Interconnected integrated energy network scheduling method and device based on P2P transaction model

Abstract

The present invention provides a method and device for scheduling an interconnected integrated energy network based on a P2P transaction model. The method is applied to an interconnected integrated energy network system, wherein the interconnected integrated energy network system includes multiple sub-electric and thermal networks. The method includes: establishing an operation model for the interconnected integrated energy network system based on the P2P transaction model; performing a distributed solution on the operation model to obtain a first amount of electric energy related to the cost of purchasing electric energy from a superior power network, the active power output of a distributed generator set related to the operating cost of a distributed generator set, the natural gas power input to a cogeneration unit related to the operating cost of a cogeneration unit, and a second amount of electric energy related to the cost of purchasing electric energy from a peer electric and thermal network, so as to minimize the operating costs of each sub-electric and thermal network and the operating costs of the interconnected integrated energy network system. The present invention maximizes the overall benefits of the interconnected integrated energy network system.

Description

Technical Field

[0001] The present invention relates to the technical field of interconnected integrated energy networks, and in particular to a method and device for scheduling an interconnected integrated energy network based on a P2P transaction model. Background Art

[0002] Energy crises and environmental pollution are two major challenges facing modern society. To address these crises, renewable energy, primarily wind power and photovoltaics, has experienced rapid growth in recent years. To promote the absorption of new energy, power systems have conducted a series of research projects, including the application of energy storage technologies such as batteries, flywheels, and compressed air storage, as well as demand-side response. However, these technologies only exploit the flexibility potential of the power system and still have significant limitations and shortcomings when it comes to accommodating large-scale new energy.

[0003] Electricity, as an energy form that is instantly available and instantly balanced, has extremely fast transmission speeds but is difficult to store. In contrast, thermal energy, as a delayed energy form, is easy to store but difficult to transmit. This naturally complements the difficult storage and easy transmission characteristics of electricity. Therefore, thermal systems represent a significant inertia system relative to electric power systems, offering enormous energy storage potential for the power grid. Therefore, coupled electric and thermal systems (also known as interconnected integrated energy networks) can significantly enhance system flexibility and promote the large-scale integration of new energy sources. Currently, finding ways to minimize the operating costs of interconnected integrated energy network systems has become a research hotspot. Summary of the Invention

[0004] The present invention provides an interconnected comprehensive energy network scheduling method and device based on a P2P transaction model, which can ensure the maximization of the overall interests of the interconnected comprehensive energy network system on the basis of the interests of each electric heating entity.

[0005] The present invention provides an interconnected integrated energy network scheduling method based on a P2P transaction mode, the method is applied to an interconnected integrated energy network system, wherein the interconnected integrated energy network system includes multiple sub-electric and thermal networks, the sub-electric and thermal networks at least including a power network, a thermal network, a distributed generator set, a wind turbine set, a cogeneration unit, a heat pump, an electricity storage device and a heat storage device, the sub-electric and thermal networks are connected by soft switches and traded in a P2P transaction mode, the method comprising: based on the P2P transaction mode, establishing an operation model of the interconnected integrated energy network system, wherein the operation model includes the operation costs of each of the sub-electric and thermal networks In this invention, the operating cost includes the cost of purchasing electricity from the upper-level power network, the operating cost of the distributed generator set, the operating cost of the cogeneration unit and the cost of purchasing electricity from the same-level electric and thermal network; the operating model is solved in a distributed manner to obtain a first amount of electricity related to the cost of purchasing electricity from the upper-level power network, the active power output of the distributed generator set related to the operating cost of the distributed generator set, the natural gas power input of the cogeneration unit related to the operating cost of the cogeneration unit, and a second amount of electricity related to the cost of purchasing electricity from the same-level electric and thermal network, so as to minimize the operating cost of each of the sub-electric and thermal networks and the operating cost of the interconnected comprehensive energy network system.

[0006] According to a method for scheduling an interconnected integrated energy network based on a P2P transaction model provided by the present invention, the operation model of the interconnected integrated energy network system includes the sum of the operation costs of each of the sub-electric and thermal networks, and the operation cost is determined using the following formula:

[0007]

[0008] in, represents the running cost, represents the cost of purchasing electricity from the upper power network, represents the operating cost of the distributed generator set, represents the operating cost of the cogeneration unit, Indicates the cost of purchasing electricity for the same-level electric heating network.

[0009] According to a method for scheduling an interconnected integrated energy network based on a P2P transaction model provided by the present invention, the cost of purchasing electricity from the upper-level power network is determined using the following formula:

[0010]

[0011] in, Indicates the unit price of purchasing electricity from the upper power network, represents a first amount of electric energy with respect to a cost of purchasing electric energy from the upper-level electric power network, the electric power network having the following model:

[0012]

[0013]

[0014] V j,t =V i,t -(r ij P ij,t +x ij Q ij,t ) / V0

[0015] Among them, p j,t represents the total active power injected at node j in the power network, including the first amount of electric energy with respect to the cost of purchasing electric energy from the upper power network The second amount of electric energy of the cost of purchasing electric energy from the same-level electric heating network The active output of the distributed generator set The active power output of the cogeneration unit The active power output of the wind turbine The charging power of the power storage device and discharge power represents the total active load at node j in the power network, including the base load and the active power consumed by the heat pump q j,t represents the total reactive power injected at node j in the power network, including the reactive power from the upper power network and the reactive output of the distributed generator set represents the reactive load at node j in the power network; P ij,t and Q ij,t Respectively represent the active power and reactive power of the line from node i to node j in the power network; r ij and x ij Respectively represent the line resistance and line reactance from node i to node j in the power network; V i,t represents the voltage amplitude of node i in the power network; V0 represents the reference voltage; Represents the set of downstream nodes of node j.

[0016] According to a method for scheduling an interconnected integrated energy network based on a P2P transaction model provided by the present invention, the operating cost of the distributed generator set is determined using the following formula:

[0017]

[0018] in, represents the active power output by the distributed generator set, represents the first constant coefficient, represents the second constant coefficient, represents the third constant coefficient, wherein the distributed generator set has the following model:

[0019]

[0020]

[0021] in, Represents the reactive power output by the distributed generator set; and Respectively represent the upper limit and lower limit of the active power of the distributed generator set; and They respectively represent the upper limit and lower limit of the reactive power of the distributed generator set.

[0022] According to a method for scheduling an interconnected integrated energy network based on a P2P transaction model provided by the present invention, the operating cost of the cogeneration unit is determined using the following formula:

[0023]

[0024] in, represents the unit price of natural gas, represents the natural gas power input by the cogeneration unit, wherein the cogeneration unit has the following model:

[0025]

[0026]

[0027]

[0028] in, and Respectively represent the electrical power and thermal power output by the cogeneration unit; and represent the gas-to-electricity efficiency and gas-to-heat efficiency of the cogeneration unit respectively; and They respectively represent the upper limit and lower limit of the natural gas input power of the cogeneration unit.

[0029] According to a method for scheduling an interconnected integrated energy network based on a P2P transaction model provided by the present invention, the cost of purchasing electricity for the same-level electric and heating network is determined using the following formula:

[0030]

[0031] in, Indicates the unit price of electricity purchased between the same-level electric heating networks based on the P2P transaction model. The second electric energy quantity represents the electric energy purchase cost of the same-level electric heating network between the sub-electric heating network m and the sub-electric heating network n, wherein the soft switch connecting the sub-electric heating network m and the sub-electric heating network n has the following model:

[0032]

[0033]

[0034] in, represents the active power loss in the soft switch; represents the power loss coefficient of the soft switch; M n Represents the set of sub-electro-thermal networks connected to the sub-electro-thermal network n.

[0035] According to a method for scheduling an interconnected integrated energy network based on a P2P transaction model provided by the present invention, the distributed solution of the operation model includes: obtaining a target auxiliary variable, wherein the target auxiliary variable is an auxiliary variable of a second amount of electric energy related to the cost of purchasing electric energy for the same-level electric and heating network; based on the equality of demand and supply of the P2P transaction model and the target auxiliary variable, the cost of purchasing electric energy for the same-level electric and heating network is hidden in the operation model to obtain a simplified operation model; performing a matrix transformation on the simplified operation model to obtain a matrix model of the simplified operation model, and constructing an augmented Lagrangian function of the matrix model; based on the augmented Lagrangian function, the operation model is distributedly solved using an alternating direction multiplier method.

[0036] According to a method for scheduling an interconnected integrated energy network based on a P2P transaction model provided by the present invention, the simplified operation model includes a constraint function, the constraint function includes a second amount of electric energy related to the cost of purchasing electric energy for the same-level electric heating network, and the matrix model of the simplified operation model has the following model:

[0037]

[0038]

[0039]

[0040]

[0041] Among them, y nrepresents the remaining decision variables in the simplified operation model except the second amount of electric energy related to the cost of purchasing electric energy for the same-level electric heating network; n a second electric energy quantity representing the constraint function in the simplified operation model with respect to the cost of purchasing electric energy for the same-level electric and heating network; represents the target auxiliary variable; f n d n 、C n 、D n and E n All represent constant coefficients.

[0042] According to a method for scheduling an interconnected integrated energy network based on a P2P transaction model provided by the present invention, the augmented Lagrangian function is determined using the following formula:

[0043]

[0044] Among them, λ n Represents the constraint function The dual variable of is used to represent the unit price of electricity purchased between the same-level electric heating networks based on the P2P transaction model; ρ represents the penalty parameter.

[0045] According to a method for scheduling an interconnected integrated energy network based on a P2P transaction mode provided by the present invention, the operation model is distributedly solved using an alternating direction multiplier method based on the augmented Lagrangian function, including:

[0046] S1: Determine the convergence threshold ε and the unit price of electricity purchased between the same-level electric heating networks based on the initial P2P transaction model and setting the number of iteration rounds k=0, wherein the convergence threshold ε>0;

[0047] S2: Based on the independence of each of the sub-electrical heating networks, update the remaining decision variables y in the simplified operation model in parallel except for the second amount of electricity related to the cost of purchasing electricity for the same-level electric heating network n , and the second electric energy quantity z of the constraint function in the simplified running model about the cost of purchasing electric energy for the same-level electric heating network n ,in,

[0048]

[0049] sqF n y n +D n z n ≤f n

[0050] S3: Update the second electric energy quantity z of the sub-electrical heating networkn k+1 Share to other sub-electric and thermal networks in the interconnected integrated energy network system, and Update, where

[0051]

[0052]

[0053] S4: Update the unit price of electricity purchased between the same-level electric and heating networks based on the P2P transaction model in,

[0054]

[0055] S5: Perform convergence test, if Then terminate the calculation and output the final result Otherwise, update k←k+1 and return to S2.

[0056] According to a method for scheduling an interconnected integrated energy network based on a P2P transaction model provided by the present invention, the thermal network has the following model:

[0057]

[0058]

[0059]

[0060]

[0061]

[0062] Wherein, b represents the pipeline of the thermal network; Represents the total thermal power injected into the thermal network by the heat source, including the thermal output of the cogeneration unit The heat output of the heat pump The heat storage device's heat charging power and the heat release power of the heat storage device Indicates the heat consumption power of heat load; c p represents the specific heat capacity of water; Indicates the mass flow rate of circulating water injected from the return pipe into the water supply pipe at the heat source; Indicates the mass flow rate of circulating water injected from the water supply pipe into the return pipe at the heat load; and Represents the supply water temperature and return water temperature respectively; m b,t represents the mass flow rate of circulating water in pipe b; and represent the inlet temperature and outlet temperature of pipe b respectively; γ b represents the temperature loss coefficient of pipe b; L b represents the length of pipe b; Indicates the ambient temperature; represents the fluid mixing temperature at the confluence node; represents the set of pipelines ending at node i; Represents the set of pipelines starting with node i.

[0063] According to a method for scheduling an interconnected integrated energy network based on a P2P transaction model provided by the present invention, the heat pump has the following model:

[0064]

[0065]

[0066] in, and Respectively represent the electrical power consumed and thermal power output of the heat pump; COP i represents the energy efficiency coefficient of the heat pump; and They respectively represent the upper limit and lower limit of the heat pump output thermal power.

[0067] According to a method for scheduling an interconnected integrated energy network based on a P2P transaction model provided by the present invention, the heat storage device has the following model:

[0068]

[0069]

[0070]

[0071] in, and Respectively represent the charging power and the releasing power of the heat storage device; and Respectively represent the heat charging efficiency and heat releasing efficiency of the heat storage device; Indicates the heat energy loss rate of the heat storage device; represents the thermal energy stored in the heat storage device; and Respectively represent the upper and lower limits of the heat storage power; and Respectively represent the upper and lower limits of the heat release power of the heat storage device; and They represent the upper limit and lower limit of the thermal energy stored in the heat storage device respectively; Δt represents the scheduling time interval.

[0072] According to a method for scheduling an interconnected integrated energy network based on a P2P transaction model provided by the present invention, the power storage device has the following model:

[0073]

[0074]

[0075]

[0076] in, and Respectively represent the charging power and discharging power of the power storage device; and represent the charging efficiency and discharging efficiency of the power storage device respectively; Indicates the power loss rate of the power storage device; represents the electrical energy stored in the electrical storage device; and Respectively represent the upper and lower limits of the charging power of the power storage device; and Respectively represent the upper and lower limits of the discharge power of the power storage device; and They represent the upper limit and lower limit of the stored electrical energy of the power storage device respectively; Δt represents the scheduling time interval.

[0077] The present invention also provides an interconnected integrated energy network scheduling device based on a P2P transaction mode, the device is applied to an interconnected integrated energy network system, wherein the interconnected integrated energy network system includes multiple sub-electric and thermal networks, the sub-electric and thermal networks include at least a power network, a thermal network, a distributed generator set, a wind turbine set, a cogeneration unit, a heat pump, an electricity storage device and a heat storage device, the sub-electric and thermal networks are connected by soft switches and traded in a P2P transaction mode, the device includes: an establishment module for establishing an operation model of the interconnected integrated energy network system based on the P2P transaction mode, wherein the operation model includes the operation of each of the sub-electric and thermal networks Cost, the operating cost includes the cost of purchasing electricity from the upper-level power network, the operating cost of the distributed generator set, the operating cost of the cogeneration unit and the cost of purchasing electricity from the same-level electric and thermal network; a processing module is used to perform distributed solution on the operating model to obtain a first amount of electricity related to the cost of purchasing electricity from the upper-level power network, the active power output of the distributed generator set related to the operating cost of the distributed generator set, the natural gas power input of the cogeneration unit related to the operating cost of the cogeneration unit, and a second amount of electricity related to the cost of purchasing electricity from the same-level electric and thermal network, so as to minimize the operating cost of each of the sub-electric and thermal networks and the operating cost of the interconnected comprehensive energy network system.

[0078] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and runnable on the processor. When the processor executes the program, it implements the interconnected integrated energy network scheduling method based on the P2P transaction mode as described in any one of the above.

[0079] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the interconnected integrated energy network scheduling method based on the P2P transaction mode as described in any one of the above.

[0080] The present invention also provides a computer program product, comprising a computer program, which, when executed by a processor, implements any of the above-described interconnected integrated energy network scheduling methods based on the P2P transaction mode.

[0081] The present invention provides an interconnected integrated energy network scheduling method and device based on a P2P transaction model, which are applied to an interconnected integrated energy network system, wherein the interconnected integrated energy network system includes multiple sub-electric and thermal networks. The present invention determines the transaction rules between each sub-electric and thermal network through the P2P transaction model to incentivize each sub-electric and thermal network to participate in the P2P transaction, and establishes an operation model of the interconnected integrated energy network system based on P2P transactions. The operation model is then solved in a distributed manner. Under the premise of protecting the privacy data of each sub-electric and thermal network, the first amount of electricity purchased at the cost of the upper-level power network, the active power output by the distributed generator set, the natural gas power input by the cogeneration unit, and the second amount of electricity purchased at the cost of the same-level electric and thermal network are obtained, so as to minimize the operating costs of each sub-electric and thermal network and the operating costs of the interconnected integrated energy network system. The interconnected comprehensive energy network scheduling method based on the P2P transaction model proposed in the present invention does not require each sub-electric and thermal network to share private data, and meets the incentive compatibility principle. It realizes that while each sub-electric and thermal network pursues its own interests, it maximizes the overall interests of the interconnected comprehensive energy network system, thereby ensuring that the overall interests of the interconnected comprehensive energy network system are maximized on the basis of the interests of each electric and thermal entity. BRIEF DESCRIPTION OF THE DRAWINGS

[0082] In order to more clearly illustrate the technical solutions in the present invention or the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0083] Figure 1 This is one of the flow charts of the interconnected integrated energy network scheduling method based on the P2P transaction mode provided by the present invention;

[0084] Figure 2 It is a schematic diagram of the process of performing distributed solution to the running model provided by the present invention;

[0085] Figure 3 It is a flow chart of the distributed solution of the running model using the alternating direction multiplier method based on the augmented Lagrangian function provided by the present invention;

[0086] Figure 4 This is a schematic diagram of the structure of an interconnected integrated energy network scheduling device based on a P2P transaction model provided by the present invention;

[0087] Figure 5 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0088] To make the objectives, technical solutions, and advantages of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0089] With the development of distributed generation resources, an increasing number of sub-grids are adopting interconnected operations to improve the overall energy efficiency of the interconnected integrated energy network system (corresponding to the interconnected integrated energy network system). In an interconnected integrated energy network system, each sub-grid is an independent entity, pursuing its own interests. The adoption of a peer-to-peer (P2P) transaction model can effectively balance the interests of each entity, thereby incentivizing each sub-grid to participate in the overall coordinated operation. Therefore, it is urgent to design a scheduling method for interconnected integrated energy networks based on a P2P transaction model to minimize the operating costs of the interconnected integrated energy network system.

[0090] The interconnected comprehensive energy network scheduling method based on the P2P transaction model provided by the present invention pursues the maximization of the overall interests of the interconnected electric heating system on the basis of ensuring the interests of each electric heating entity.

[0091] The present invention will combine Figure 1 The process of the interconnected integrated energy network scheduling method based on the P2P transaction model is explained.

[0092] Figure 1 This is one of the flow charts of the interconnected integrated energy network scheduling method based on the P2P transaction mode provided by the present invention.

[0093] In an exemplary embodiment of the present invention, a method for scheduling an interconnected integrated energy network based on a P2P transaction model can be applied to an interconnected integrated energy network system. The interconnected integrated energy network system can include multiple sub-electric and thermal networks, each of which is typically connected to a higher-level power grid through a common connection point. Each sub-electric and thermal network can include at least a power network, a thermal network, distributed generators, wind turbines, combined heat and power units, heat pumps, power storage devices, and heat storage devices. The sub-electric and thermal networks can be connected via soft switches and traded using a P2P transaction model.

[0094] A soft switch is a new type of power electronic device, generally consisting of two voltage source inverters. It can flexibly control the power flow at both ends. The two ends of the soft switch can be connected to a grid node of the two sub-electrothermal networks respectively, thereby realizing flexible and controllable power exchange between the two networks, providing a solid physical foundation for the establishment of the subsequent P2P trading market.

[0095] Combine Figure 1 It can be seen that the interconnected integrated energy network scheduling method based on the P2P transaction mode may include step 110 and step 120, and each step will be introduced below.

[0096] In step 110, based on the P2P transaction model, an operation model of the interconnected integrated energy network system is established, wherein the operation model includes the operation costs of each sub-electric and thermal network, and the operation costs include the cost of purchasing electricity from the upper-level power network, the operating cost of the distributed generator set, the operating cost of the cogeneration unit, and the cost of purchasing electricity from the same-level electric and thermal network.

[0097] In an interconnected integrated energy grid system, the goal of each sub-grid is to maximize its own benefits or minimize its own operating costs. Therefore, the operating costs of all sub-grids can be summed to obtain the total social operating cost (corresponding to the interconnected integrated energy grid system). Minimizing the total social operating cost (maximizing social welfare) is the goal. In one example, the operating model of the interconnected integrated energy grid system can include the sum of the operating costs of each sub-grid.

[0098] In step 120, the operation model is solved in a distributed manner to obtain a first amount of electric energy related to the cost of purchasing electric energy from the upper-level power network, an active power output by the distributed generator set related to the operating cost of the distributed generator set, a natural gas power input by the cogeneration unit related to the operating cost of the cogeneration unit, and a second amount of electric energy related to the cost of purchasing electric energy from the same-level electric and thermal network, so as to minimize the operating cost of each sub-electric and thermal network and the operating cost of the interconnected integrated energy network system.

[0099] Since the transaction price for electricity purchased by the same-level electric and thermal networks is not a known quantity, the corresponding market equilibrium price can only be obtained after the problem is solved. This creates a paradox in solving the problem. Secondly, each sub-electric and thermal network represents a different stakeholder and is unwilling to share their private data, making traditional centralized solution algorithms inapplicable. In one example, the operation model can be solved in a distributed manner. While protecting the privacy data of each sub-electric and thermal network, the first electricity quantity of the upper-level power network's electricity purchase cost, the active power output by the distributed generator set, the natural gas power input by the cogeneration unit, and the second electricity quantity of the electricity purchase cost of the same-level electric and thermal network are obtained, thereby minimizing the operating costs of each sub-electric and thermal network and the operating costs of the interconnected integrated energy network system.

[0100] It should be noted that the first amount of electricity purchased from the upper power grid can be the active power from the upper power grid, and the second amount of electricity purchased from the same-level electric heating network can be the active power of other sub-electric heating networks obtained through P2P transactions.

[0101] The present invention provides an interconnected integrated energy network scheduling method based on a P2P transaction model, which is applied to an interconnected integrated energy network system, wherein the interconnected integrated energy network system includes multiple sub-electric and thermal networks. The present invention determines the transaction rules between each sub-electric and thermal network through the P2P transaction model to incentivize each sub-electric and thermal network to participate in the P2P transaction, and establishes an operation model of the interconnected integrated energy network system based on P2P transactions. The operation model is then solved in a distributed manner. Under the premise of protecting the privacy data of each sub-electric and thermal network, a first amount of electric energy is obtained, which represents the cost of purchasing electricity from the upper-level power network, the active power output by the distributed generator set, the natural gas power input by the cogeneration unit, and the second amount of electric energy, which represents the cost of purchasing electricity from the same-level electric and thermal network, so as to minimize the operating costs of each sub-electric and thermal network and the operating costs of the interconnected integrated energy network system. The interconnected comprehensive energy network scheduling method based on the P2P transaction model proposed in the present invention does not require each sub-electric and thermal network to share private data, and meets the incentive compatibility principle. It realizes that while each sub-electric and thermal network pursues its own interests, it maximizes the overall interests of the interconnected comprehensive energy network system, thereby ensuring that the overall interests of the interconnected comprehensive energy network system are maximized on the basis of the interests of each electric and thermal entity.

[0102] In order to further introduce the interconnected integrated energy network scheduling method based on the P2P transaction mode provided by the present invention, it will be described below in conjunction with the following embodiments.

[0103] In one embodiment, a mathematical model of an interconnected integrated energy network system can be established. The sub-electrical and thermal networks within the interconnected integrated energy network system include at least a power network, a thermal network, distributed generators, wind turbines, combined heat and power units, heat pumps, electrical storage devices, and thermal storage devices. The power network is generally a radial network, so a linearized branch power flow model can be used to describe it.

[0104] In one embodiment, the power network may have the following model:

[0105]

[0106]

[0107] V j,t =V i,t -(r ij P ij,t +x ij Q ij,t ) / V0 (3)

[0108] Among them, p j,t represents the total active power injected at node j in the power network, including the first amount of electric energy purchased from the upper power network (also known as the active power from the upper power network) Secondary electric energy quantity (also known as active power from other sub-electrical heating networks) regarding the cost of purchasing electric energy from the same-level electric heating network Active power output of distributed generators Active power output of cogeneration units Active power output of wind turbines Charging power of the energy storage device and discharge power represents the total active load at node j in the power network, including the base load and the active power consumed by the heat pump q j,t represents the total reactive power injected at node j in the power network, including the reactive power from the upper power network and the reactive output of distributed generators represents the reactive load at node j in the power network; P ij,t and Q ij,t They represent the active power and reactive power of the line from node i to node j in the power network; r ij and x ij Respectively represent the line resistance and line reactance from node i to node j in the power network; V i,t represents the voltage amplitude of node i in the power network; V0 represents the reference voltage; Represents the set of downstream nodes of node j.

[0109] Among them, constraints (1) and (2) represent the active power and reactive power balance conditions at node j; constraint (3) describes the relationship between the voltage drop from node i to node j and the active power flow and reactive power flow on the line.

[0110] The thermal network can be composed of a water supply pipe and a return water pipe, and use circulating water to transmit and distribute heat. At the heat source node (generally configured with a cogeneration unit or a heat pump), the heat source can inject energy into the thermal network through a heat exchanger. At the heat load node, the heat exchanger can use the supply and return water temperature difference to provide energy to the heat load. Generally speaking, the heat flow model of the thermal network can be described by the flow equation and the heat transfer equation, which is a highly non-convex mathematical model. In this embodiment, the "constant mass flow-variable temperature" scheduling mode commonly used in the operation of the thermal network can be adopted, and the circulating water mass flow described by the flow equation is given, so that the heat flow model is described as a linear form containing only the heat transfer equation.

[0111] In one embodiment, the thermal network may have the following model:

[0112]

[0113]

[0114]

[0115]

[0116]

[0117] Where b represents the pipeline of the thermal network; Indicates the total thermal power injected into the thermal network by the heat source, including the thermal output of the cogeneration unit Heat output of heat pump Charging power of heat storage device and the heat release power of the heat storage device Indicates the heat consumption power of heat load; c p represents the specific heat capacity of water; Indicates the mass flow rate of circulating water injected from the return pipe into the water supply pipe at the heat source; Indicates the mass flow rate of circulating water injected from the water supply pipe into the return pipe at the heat load; and Represents the supply water temperature and return water temperature respectively; m b,t represents the mass flow rate of circulating water in pipe b; and represent the inlet temperature and outlet temperature of pipe b respectively; γ b represents the temperature loss coefficient of pipe b; L b represents the length of pipe b; Indicates the ambient temperature; represents the fluid mixing temperature at the confluence node; represents the set of pipelines ending at node i; Represents the set of pipelines starting with node i.

[0118] Among them, constraints (4) and (5) represent the energy exchange process at the heat source and heat load nodes respectively; constraint (6) describes the temperature drop from the head end to the end of the pipeline; constraint (7) represents the relationship between the water flow temperature entering the heat network confluence node i and the mixed temperature of the node; constraint (8) describes the relationship between the water flow temperature leaving the heat network confluence node i and the mixed temperature of the node.

[0119] The sub-electrical heating network may include a local distributed generator set (e.g., a distributed gas generator set) that can simultaneously provide active power and reactive power to meet the energy supply needs of the system. In one embodiment, the distributed generator set may have the following model:

[0120]

[0121]

[0122] in, Indicates the active power output by the distributed generator set; Indicates the reactive power output by the distributed generator set; and They represent the upper and lower limits of the active power of the distributed generator sets respectively; and They represent the upper and lower limits of the reactive power of distributed generators respectively.

[0123] Among them, constraints (9) and (10) describe the output range of active power and reactive power of distributed generator sets respectively.

[0124] It should be noted that wind turbines can generally only provide active power. Moreover, its available output will be affected by factors such as weather.

[0125] Cogeneration units are key coupling components in electric heating systems, providing both electricity and heat to meet diverse energy needs. In the electric heating network studied in this paper, cogeneration units typically consume natural gas resources for energy supply.

[0126] In one embodiment, the combined heat and power plant may have the following model:

[0127]

[0128]

[0129]

[0130] in, and Respectively represent the electrical power and thermal power output of the cogeneration unit; Indicates the natural gas power input to the cogeneration unit; and represent the gas-to-electricity efficiency and gas-to-heat efficiency of the cogeneration unit respectively; and They represent the upper and lower limits of the natural gas input power of the cogeneration unit respectively.

[0131] Constraints (11) and (12) represent the relationship between the natural gas power input to the CHP unit and the generated electrical and thermal power. In one example, the gas-to-electricity and gas-to-heat ratios of the CHP unit are fixed constants. Constraint (13) describes the output range of the CHP unit.

[0132] Heat pumps are another key coupling element in the sub-electric heating network. They consume electricity in a reverse cycle, forcing heat to flow from low-temperature areas to high-temperature areas, thereby achieving efficient heat supply. Generally speaking, the ratio of a heat pump's thermal output to its electrical power consumption can reach 3 to 4 times, a ratio also known as the heat pump's energy efficiency coefficient.

[0133] In one embodiment, the heat pump may have the following model:

[0134]

[0135]

[0136] in, and Respectively represent the electrical power consumed by the heat pump and the thermal power output; COP i Indicates the energy efficiency coefficient of the heat pump; and They represent the upper and lower limits of the heat pump output thermal power respectively.

[0137] Among them, constraint (14) represents the relationship between the thermal power output of the heat pump and the electrical power consumed; constraint (15) describes the thermal output range of the heat pump.

[0138] In the operation of the sub-electric and thermal networks, electricity and heat storage devices play two core roles. First, they provide peak load shaving and valley load shifting, allowing them to swap peak and valley loads based on energy price signals, thereby improving the overall economic efficiency of the system. Second, they provide flexibility regulation, compensating for power shortfalls caused by fluctuations in renewable energy sources, thereby enhancing system flexibility and reliability. The operating constraints of the electricity and heat storage devices can be described by the following equations.

[0139]

[0140]

[0141]

[0142]

[0143]

[0144]

[0145] in, and Respectively represent the charging power and discharging power of the energy storage device; and They represent the charging efficiency and discharging efficiency of the energy storage device respectively; Indicates the energy loss rate of the power storage device; Represents the electrical energy stored in the storage device; and Respectively represent the upper and lower limits of the charging power of the power storage device; and Respectively represent the upper and lower limits of the discharge power of the power storage device; and Respectively represent the upper and lower limits of the stored electrical energy of the electrical storage device; and Respectively represent the charging power and releasing power of the heat storage device; and They represent the heat charging efficiency and heat releasing efficiency of the heat storage device respectively; Indicates the heat energy loss rate of the heat storage device; Represents the thermal energy stored in the heat storage device; and They represent the upper and lower limits of the charging power of the heat storage device respectively; and They represent the upper and lower limits of the heat release power of the heat storage device respectively; and They represent the upper and lower limits of the thermal energy stored in the heat storage device respectively; Δt represents the scheduling time interval.

[0146] Among them, constraints (16) and (17) respectively describe the charging and discharging (heat) processes of the electrical storage device and the thermal storage device, revealing the relationship between their stored energy and the charging and discharging power. Constraints (18)-(21) respectively describe the upper and lower bounds of the charging and discharging (heat) power and the energy storage energy.

[0147] A soft switch is a power electronic device consisting of a two-terminal voltage source inverter that allows flexible and free control of the active power exchange between connected sub-electrothermal networks. For sub-electrothermal networks m and n connected via a soft switch, the power balance constraints at their connection are as follows.

[0148]

[0149]

[0150] in, represents the active power flowing from the sub-electrical heating network m to the sub-electrical heating network n (also known as the second electric energy quantity with respect to the electric energy purchase cost of the same-level electric heating network between the sub-electrical heating network m and the sub-electrical heating network n); Represents the active power loss in soft switching; Indicates the power loss coefficient of soft switching; M n Represents the set of sub-electro-thermal networks connected to sub-electro-thermal network n.

[0151] Constraint (22) represents the active power balance condition in the soft switch; constraint (23) describes the relationship between the power loss and the transmission power in the soft switch. Generally speaking, the power loss in the soft switch is much smaller than its transmission power (for example, it can be 0.02). Therefore, in this embodiment, the power loss is ignored, and the power balance condition (22) is described in a simpler form as follows:

[0152]

[0153] In the present invention, by establishing a mathematical model of an interconnected integrated energy network system, a foundation can be laid for establishing an interconnected integrated energy network scheduling method based on a P2P transaction model. In the application process, an operation model of the interconnected integrated energy network system can be established based on the constructed mathematical model.

[0154] In one embodiment, the operation model of the interconnected integrated energy network system may include the sum of the operation costs of each sub-electricity and heating network. For any sub-electricity and heating network n, its operation cost consists of four parts:

[0155]

[0156] in, represents the operating cost, The cost of purchasing electricity from the upper power network (also known as the price of the sub-electrical heating network) The cost of purchasing electricity from the upstream grid), represents the operating cost of distributed generator sets, represents the operating cost of the cogeneration unit, It represents the cost of electricity purchased by the same-level electric heating network (also known as the cost of sub-electric heating network n purchasing electricity from other sub-electric heating networks in the P2P trading market).

[0157] In one embodiment, the cost of purchasing electricity from the upper-level power network can be determined using the following formula:

[0158]

[0159] in, Indicates the unit price of purchasing electricity from the upper power network, The first electric energy quantity represents the cost of purchasing electric energy from the upper-level electric power network.

[0160] In one embodiment, the operating cost of the distributed generator set can be determined using the following formula:

[0161]

[0162] It is understandable that the operating costs of distributed generator sets is a convex quadratic function, which can be converted into a piecewise linear function through piecewise linear approximation. Indicates the active power output by the distributed generator set, represents the first constant coefficient, represents the second constant coefficient, represents the third constant coefficient.

[0163] In one embodiment, the operating cost of the cogeneration unit can be determined using the following formula:

[0164]

[0165] in, represents the unit price of natural gas, Indicates the natural gas power input to the cogeneration unit.

[0166] In one embodiment, the cost of purchasing electricity for the same-level electric heating network can be determined using the following formula:

[0167]

[0168] Electricity purchase cost for the same-level electric heating network It can also be called the cost of sub-electricity heating network n purchasing electricity from other sub-electricity heating networks in the P2P trading market, or the profit of selling electricity to other sub-electricity heating networks. Indicates the unit price of electricity purchased between peer-to-peer electric and heating networks based on the P2P transaction model; = represents the second amount of electric energy purchased by the same-level electric heating network between the sub-electric heating network m and the sub-electric heating network n. It can be understood that The value of can be positive or negative, depending on the direction of the exchange power transmission. This characteristic shows that in the P2P trading market, some sub-electric heating networks play the role of producers, while some sub-electric heating networks play the role of consumers, thus realizing two-way transactions in the market. It should be noted that the P2P transaction price It is not a known quantity given in advance, and its value will be generated in the process of solving the P2P transaction equilibrium.

[0169] In addition, the heat pump consumes electricity during operation, and its operating cost has been taken into account in the electricity production process, so it no longer needs to be calculated separately. Based on the above analysis, the total operating cost of the sub-heat network n is It can be expressed as:

[0170]

[0171] In an interconnected integrated energy network system, the goal of each sub-electric and thermal network entity is to maximize its own interests or minimize its own operating costs. Therefore, the operating costs of all electric and thermal networks can be added together to obtain the total social operating cost (corresponding to the interconnected integrated energy network system). As can be seen, minimizing the total social operating cost (maximizing social welfare) is the goal, thus deriving the following operational model for the interconnected integrated energy network system:

[0172]

[0173] Where N represents the set of sub-electrical and thermal networks; T represents the set of time.

[0174] It is understandable that there are two major obstacles to solving model (30). First, the objective function is not a well-defined expression. This is because the P2P transaction price It is not a known quantity given in advance. Only after solving problem (30) can the corresponding market equilibrium price be obtained. This brings a paradox to the solution of the problem. Secondly, each sub-electric heating network is a different interest entity and is unwilling to share its own private data. Therefore, the traditional centralized solution algorithm is not applicable. Therefore, how to design a reasonable distributed solution algorithm has become an urgent problem to be studied. Among them, the existence of coupling constraints (24) undoubtedly brings more obstacles to the distributed solution of the problem.

[0175] In order to design a reasonable distributed solution algorithm, the operation model will be distributedly solved in the present invention to obtain the first amount of electricity related to the cost of purchasing electricity from the upper-level power network, the active power output of the distributed generator set related to the operating cost of the distributed generator set, the natural gas power input to the cogeneration unit related to the operating cost of the cogeneration unit, and the second amount of electricity related to the cost of purchasing electricity from the same-level electric and thermal network, so as to minimize the operating cost of each sub-electric and thermal network and the operating cost of the interconnected integrated energy network system.

[0176] It should be noted that there are two key issues in solving the operation model of the interconnected integrated energy network system: one is how to design a distributed algorithm to solve the coordinated operation model (30); the other is how to design a reasonable mechanism to determine the price of P2P transactions in a distributed manner to encourage various electric and thermal network entities to participate in the P2P transaction market.

[0177] In order to further introduce the interconnected integrated energy network scheduling method based on the P2P transaction mode provided by the present invention, the process of distributed solution of the operation model will be explained below.

[0178] Figure 2 It is a flow chart of distributed solution of the running model provided by the present invention.

[0179] In an exemplary embodiment of the present invention, Figure 2 As shown, performing distributed solving of the running model may include steps 210 to 240, and each step will be described below.

[0180] In step 210 , a target auxiliary variable is obtained, wherein the target auxiliary variable is an auxiliary variable of a second amount of electric energy related to the cost of purchasing electric energy for the same-level electric heating network.

[0181] In step 220, based on the equality of demand and supply in the P2P transaction model and the target auxiliary variable, the cost of purchasing electricity from the same-level electric and heating network is hidden in the operation model to obtain a simplified operation model.

[0182] In step 230 , matrix transformation is performed on the simplified running model to obtain a matrix model of the simplified running model, and an augmented Lagrangian function of the matrix model is constructed.

[0183] In step 240 , the running model is solved in a distributed manner using the alternating direction multiplier method based on the augmented Lagrangian function.

[0184] According to the definition of P2P transaction cost (28), in the P2P trading market, consumers spend money to buy electricity (corresponding to a positive P2P transaction cost), while producers earn income by selling electricity (corresponding to a negative P2P transaction cost). Due to the equality of demand and supply, the sum of the P2P transaction costs in the interconnected integrated energy network system must be 0. In one embodiment, the objective function in problem (30) can be further simplified to obtain a simplified operational model, which can be written as follows:

[0185]

[0186] It is understandable that in question (31), the P2P transaction cost (also known as the cost of purchasing electricity from the same-level electric heating network) It no longer appears explicitly in the objective function, so the objective function is no longer affected by the P2P transaction power and the unknown P2P transaction price. impact.

[0187] In order to construct a distributed solution strategy, we can introduce the target auxiliary variable The constraint in problem (31) The equivalent is converted into the following form:

[0188]

[0189]

[0190] Among them, constraints (32) and (33) are designed for P2P transaction prices. provides a feasible path. From an economic perspective, the dual variable of constraint (33) represents The change in the objective function (total cost) when changing one unit, so this dual variable can be used as the price for P2P transactions between sub-electric heating networks m and n.

[0191] In one example, we can let z n 、 and y n They represent the P2P transaction variables (also known as the second amount of electricity in the constraint function of the simplified operation model regarding the cost of purchasing electricity from the same-level electric and heating network) Target auxiliary variables and the remaining decision variables in model (31) (also known as the remaining decision variables in the simplified running model except for the second amount of electricity purchased from the same-level electric heating network). It can be seen that y n and z n It is a local variable belonging to each sub-electrothermal network n. No matter in the objective function or the constraint, it has no coupling relationship with other sub-electrothermal networks.

[0192] In one embodiment, the simplified operational model includes a constraint function, wherein the constraint function includes a second amount of electric energy related to the cost of purchasing electric energy from the same level electric heating network. Furthermore, the simplified running model (31) is subjected to matrix transformation to obtain a matrix model of the simplified running model, which can be expressed in the following matrix form:

[0193]

[0194] Among them, y n represents the remaining decision variables in the simplified running model except the second amount of electricity related to the cost of purchasing electricity for the same-level electric heating network, z n The second amount of electricity representing the cost of purchasing electricity from the same-level electric and heating network in the constraint function of the simplified operating model; represents the target auxiliary variable; f n d n 、C n 、D n and E n All represent constant coefficients.

[0195] It should be noted that in the matrix model (34), the first constraint represents the local constraint of each sub-electric heating network; the second constraint represents the power balance of P2P transactions between different sub-electric heating networks, corresponding to constraint (32), which is obviously the coupling constraint between the sub-electric heating networks; the third constraint is the matrix form of constraint (33), and its dual variable represents the P2P transaction price.

[0196] In order to construct a distributed solution algorithm for problem (34), an augmented Lagrangian function with respect to a matrix model can be constructed. In one example, the augmented Lagrangian function can be determined using the following formula:

[0197]

[0198] Among them, λ n Represents the constraint function The dual variable of is used to represent the unit price of electricity purchased between the same-level electric heating networks based on the P2P transaction model; ρ represents the penalty parameter.

[0199] In another embodiment, based on the augmented Lagrangian function (35), the problem (34) can be solved in a distributed manner using the alternating direction multiplier method of two partitions. That is, based on the augmented Lagrangian function, the running model is solved in a distributed manner using the alternating direction multiplier method.

[0200] Figure 3 The present invention provides a flow chart of distributed solution of an operating model using an alternating direction multiplier method based on an augmented Lagrangian function.

[0201] The following will be combined Figure 3 For the augmented Lagrangian function, the process of distributed solution of the running model using the alternating direction multiplier method is explained.

[0202] In an exemplary embodiment of the present invention, Figure 3 As shown, the augmented Lagrangian function and the distributed solution of the running model using the alternating direction multiplier method may include steps 310 to 350, and each step will be introduced below.

[0203] In step 310, S1: determine the convergence threshold ε, determine the unit price of electricity purchased between the same-level electric and heating networks based on the initialized P2P transaction mode And set the number of iteration rounds k=0, where the convergence threshold ε>0.

[0204] In step 320, S2: Based on the independence of each sub-electrical heating network, the remaining decision variables y in the simplified operation model except the second electric energy quantity related to the electric energy purchase cost of the same-level electric heating network are updated in parallel. n , and the second amount of electricity z of the constraint function in the simplified running model about the cost of purchasing electricity from the same-level electric heating network n .

[0205] Among them, the updated second electric energy quantity Z n k+1 and the updated remaining decision variables y n k+1 Satisfies the following relationship:

[0206]

[0207] In one embodiment, the local variable y may be updated n and z n Since the variable y n and z n Due to the locality of each sub-electrothermal network, (36) can be solved independently in parallel to update y n and z n , get the updated second electric energy quantity z n k+1and the updated remaining decision variables y n k+1 .

[0208] In step 330, S3: the updated second electric energy quantity z of the sub-electrical heating network is n k+1 Share to other sub-electric and heating networks in the interconnected integrated energy network system, and Update, where the updated target auxiliary variable The following relationship can be satisfied:

[0209]

[0210] In one embodiment, the coupling variable (also known as the target auxiliary variable) can be updated To obtain the updated target auxiliary variable (also called the updated coupling variable) During the application process, each sub-electric heating network can convert the P2P transaction power (also known as the second electric energy quantity) into n k+1 Share to other sub-electric and thermal networks in the interconnected integrated energy network system, and update the coupling variables by solving (37)

[0211] In step 340, S4: Update the unit price of electricity purchased between the same level electric heating networks based on the P2P transaction model Among them, the updated unit price of electricity purchased between the same-level electric heating networks is Satisfies the following relationship:

[0212]

[0213] In one embodiment, the unit price of electricity purchased between peer electric heating networks in a P2P transaction mode is updated. Among them, each sub-electric heating network can calculate (38) and update the unit price of purchasing electricity between the same-level electric heating networks in the P2P transaction model.

[0214] In step 350, S5: perform a convergence test. If the updated unit price of electricity purchased between the same-level electric and heating networks converges, terminate the calculation and output the final result; otherwise, update and return to S2.

[0215] The updated unit price convergence of electricity purchased between the same-level electric heating networks can be expressed by the following formula:

[0216]

[0217] The final output can include

[0218] At this point, the distributed solution of the operation model (30) of the interconnected integrated energy network system can be completed, and a reasonable mechanism is given to determine the price of P2P transactions.

[0219] The present invention proposes a method for scheduling an interconnected integrated energy network based on a P2P trading model. Its advantages are as follows: In an interconnected electric heating system, each system is an independent entity, pursuing its own interests. Therefore, it is imperative to design a reasonable mechanism that maximizes the overall benefits of the system while ensuring the interests of each entity. This method first establishes a mathematical model of the interconnected electric heating system. Then, using the P2P trading mechanism, it designs trading rules between each system, thereby incentivizing each entity to participate in the P2P trading market. This establishes a coordinated operation model for the interconnected electric heating system based on P2P trading. Finally, a distributed solution algorithm for the coordinated operation model of the interconnected electric heating system based on P2P trading is designed based on the alternating direction multiplier method, thereby protecting the privacy data of each electric heating system. The proposed method does not require each electric heating system to share private data. Furthermore, the designed method satisfies the principle of incentive compatibility. Each electric heating system pursues its own interests while maximizing the overall benefits of the system. Therefore, it has the advantages of strong privacy, simple calculations, and ease of implementation in engineering practice.

[0220] According to the above description, the interconnected integrated energy network scheduling method based on the P2P transaction model provided by the present invention is applied to an interconnected integrated energy network system, wherein the interconnected integrated energy network system includes multiple sub-electric and thermal networks. The present invention determines the transaction rules between each sub-electric and thermal network through the P2P transaction model to encourage each sub-electric and thermal network to participate in the P2P transaction, and establishes an operation model of the interconnected integrated energy network system based on P2P transactions. The operation model is then solved in a distributed manner. Under the premise of protecting the privacy data of each sub-electric and thermal network, the first amount of electricity purchased at the cost of the upper-level power network, the active power output by the distributed generator set, the natural gas power input by the cogeneration unit, and the second amount of electricity purchased at the cost of the same-level electric and thermal network are obtained, so as to minimize the operating costs of each sub-electric and thermal network and the operating costs of the interconnected integrated energy network system. The interconnected comprehensive energy network scheduling method based on the P2P transaction model proposed in the present invention does not require each sub-electric and thermal network to share private data, and meets the incentive compatibility principle. It realizes that while each sub-electric and thermal network pursues its own interests, it maximizes the overall interests of the interconnected comprehensive energy network system, thereby ensuring that the overall interests of the interconnected comprehensive energy network system are maximized on the basis of the interests of each electric and thermal entity.

[0221] Based on the same concept, the present invention also provides an interconnected integrated energy network scheduling device based on a P2P transaction model.

[0222] The following describes the interconnected integrated energy network scheduling device based on the P2P transaction mode provided by the present invention. The interconnected integrated energy network scheduling device based on the P2P transaction mode described below and the interconnected integrated energy network scheduling method based on the P2P transaction mode described above can be referenced to each other.

[0223] Figure 4 It is a structural diagram of the interconnected integrated energy network scheduling device based on the P2P transaction mode provided by the present invention.

[0224] In an exemplary embodiment of the present invention, an interconnected integrated energy network scheduling device based on a P2P transaction model can be applied to an interconnected integrated energy network system, wherein the interconnected integrated energy network system can include multiple sub-electric and thermal networks. The sub-electric and thermal networks can include at least a power network, a thermal network, distributed generators, wind turbines, cogeneration units, heat pumps, power storage devices, and heat storage devices. The sub-electric and thermal networks can be connected via soft switches and conduct transactions using a P2P transaction model.

[0225] like Figure 4 As shown, the interconnected integrated energy network scheduling device based on the P2P transaction mode may include an establishment module 410 and a processing module 420, and each module will be introduced below.

[0226] Establishment module 410 can be configured to establish an operation model of the interconnected integrated energy network system based on the P2P transaction model, wherein the operation model may include the operation cost of each sub-electric and thermal network, and the operation cost may include the cost of purchasing electricity from the upper-level power network, the operation cost of distributed generator sets, the operation cost of cogeneration units, and the cost of purchasing electricity from the same-level electric and thermal network.

[0227] The processing module 420 can be configured to perform distributed solution on the operation model to obtain a first amount of electric energy related to the cost of purchasing electric energy from the upper-level power network, the active power output of the distributed generator set related to the operating cost of the distributed generator set, the natural gas power input to the cogeneration unit related to the operating cost of the cogeneration unit, and a second amount of electric energy related to the cost of purchasing electric energy from the same-level electric and thermal network, so as to minimize the operating cost of each sub-electric and thermal network and the operating cost of the interconnected integrated energy network system.

[0228] In an exemplary embodiment of the present invention, the operation model of the interconnected integrated energy network system may include the sum of the operation costs of each sub-electrical and thermal network. The establishment module 410 may use the following formula to determine the operation cost:

[0229]

[0230] in, represents the operating cost, Indicates the cost of electricity purchased by the upper power network, represents the operating cost of distributed generator sets, represents the operating cost of the cogeneration unit, Indicates the cost of purchasing electricity for the same-level electric heating network.

[0231] In an exemplary embodiment of the present invention, the establishment module 410 may use the following formula to determine the cost of purchasing electric energy from the upper-level power network:

[0232]

[0233] in, Indicates the unit price of purchasing electricity from the upper power network, The first amount of electric energy is expressed in terms of the cost of purchasing electric energy from the upper power network. The power network has the following model:

[0234]

[0235]

[0236] V j,t =V i,t -(r ij P ij,t +x ij Q ij,t ) / V0 (3)

[0237] Among them, p j,t represents the total active power injected at node j in the power network, including the first amount of electric energy with respect to the cost of purchasing electric energy from the upper power network The second amount of electricity about the cost of purchasing electricity from the same level electric heating network Active power output of distributed generators Active power output of cogeneration units Active power output of wind turbines Charging power of the energy storage device and discharge power represents the total active load at node j in the power network, including the base load and the active power consumed by the heat pump q j,t represents the total reactive power injected at node j in the power network, including the reactive power from the upper power network and the reactive output of distributed generators represents the reactive load at node j in the power network; P ij,t and Q ij,t They represent the active power and reactive power of the line from node i to node j in the power network; rij and x ij Respectively represent the line resistance and line reactance from node i to node j in the power network; V i,t represents the voltage amplitude of node i in the power network; V0 represents the reference voltage; Represents the set of downstream nodes of node j.

[0238] In an exemplary embodiment of the present invention, the establishment module 410 may use the following formula to determine the operating cost of the distributed generator set:

[0239]

[0240] in, Indicates the active power output by the distributed generator set, represents the first constant coefficient, represents the second constant coefficient, represents the third constant coefficient, where the distributed generator set has the following model:

[0241]

[0242]

[0243] in, Indicates the reactive power output by the distributed generator set; and They represent the upper and lower limits of the active power of the distributed generator sets respectively; and They represent the upper and lower limits of the reactive power of distributed generators respectively.

[0244] In an exemplary embodiment of the present invention, the establishment module 410 may use the following formula to determine the operating cost of the cogeneration unit:

[0245]

[0246] in, represents the unit price of natural gas, represents the natural gas power input to the combined heat and power unit, where the combined heat and power unit has the following model:

[0247]

[0248]

[0249]

[0250] in, and Respectively represent the electrical power and thermal power output of the cogeneration unit; and represent the gas-to-electricity efficiency and gas-to-heat efficiency of the cogeneration unit respectively; and They represent the upper and lower limits of the natural gas input power of the cogeneration unit respectively.

[0251] In an exemplary embodiment of the present invention, the establishment module 410 may use the following formula to determine the cost of purchasing electricity for the same-level electric heating network:

[0252]

[0253] in, Indicates the unit price of electricity purchased between the same-level electric heating networks based on the P2P transaction model. The second electric energy quantity represents the electric energy purchase cost of the same-level electric heating network between the sub-electric heating network m and the sub-electric heating network n, wherein the soft switch connecting the sub-electric heating network m and the sub-electric heating network n has the following model:

[0254]

[0255]

[0256] in, Represents the active power loss in soft switching; Indicates the power loss coefficient of soft switching; M n Represents the set of sub-electro-thermal networks connected to sub-electro-thermal network n.

[0257] In an exemplary embodiment of the present invention, the processing module 420 may perform distributed solving of the running model in the following manner:

[0258] A target auxiliary variable is obtained, wherein the target auxiliary variable is an auxiliary variable of the second amount of electric energy related to the cost of purchasing electric energy from the same-level electric heating network; based on the equality of demand and supply of the P2P transaction model and the target auxiliary variable, the cost of purchasing electric energy from the same-level electric heating network is hidden in the operation model to obtain a simplified operation model; a matrix transformation is performed on the simplified operation model to obtain a matrix model of the simplified operation model, and an augmented Lagrangian function of the matrix model is constructed; based on the augmented Lagrangian function, the operation model is distributedly solved using the alternating direction multiplier method.

[0259] In an exemplary embodiment of the present invention, the simplified operating model may include a constraint function, which may include a second amount of electric energy related to the cost of purchasing electric energy from the same-level electric heating network. The processing module 420 may use the following model to determine a matrix model for the simplified operating model:

[0260]

[0261] Among them, y n represents the remaining decision variables in the simplified operating model except for the second amount of electricity purchased from the same-level electric heating network, z n The second amount of electricity representing the cost of purchasing electricity from the same-level electric and heating network in the constraint function of the simplified operating model; represents the target auxiliary variable; f n d n 、C n 、D n and E n All represent constant coefficients.

[0262] In an exemplary embodiment of the present invention, the processing module 420 may determine the augmented Lagrangian function using the following formula:

[0263]

[0264] Among them, λ n Represents the constraint function The dual variable of is used to represent the unit price of electricity purchased between the same-level electric heating networks based on the P2P transaction model; ρ represents the penalty parameter.

[0265] In an exemplary embodiment of the present invention, the processing module 420 may perform a distributed solution to the operation model using an alternating direction multiplier method based on an augmented Lagrangian function in the following manner:

[0266] S1: Determine the convergence threshold ε and the unit price of electricity purchased between the same-level electric heating networks based on the initial P2P transaction model and setting the number of iteration rounds k=0, wherein the convergence threshold ε>0;

[0267] S2: Based on the independence of each sub-electricity and heating network, the remaining decision variables y in the simplified operation model are updated in parallel except for the second amount of electricity purchased by the same-level electric heating network. n , and the second amount of electricity z of the constraint function in the simplified running model about the cost of purchasing electricity from the same-level electric heating network n ,in,

[0268]

[0269] S3: The updated second electric energy quantity of the sub-electric heating network Share to other sub-electric and heating networks in the interconnected integrated energy network system, and Update, where

[0270]

[0271] S4: Update the unit price of electricity purchased between the same-level electric and heating networks based on the P2P transaction model in,

[0272]

[0273] S5: Perform convergence test, if Then terminate the calculation and output the final result Otherwise, update k←k+1 and return to S2.

[0274] In an exemplary embodiment of the present invention, the establishment module 410 may use the following model to determine the thermal network:

[0275]

[0276]

[0277]

[0278]

[0279]

[0280] Where b represents the pipeline of the thermal network; Represents the total thermal power injected into the thermal network by the heat source, including the thermal output of the combined heat and power units Heat output of heat pump Charging power of heat storage device and the heat release power of the heat storage device Indicates the heat consumption power of heat load; c p represents the specific heat capacity of water; Indicates the mass flow rate of circulating water injected from the return pipe into the water supply pipe at the heat source; Indicates the mass flow rate of circulating water injected from the water supply pipe into the return pipe at the heat load; and Represents the supply water temperature and return water temperature respectively; m b,t represents the mass flow rate of circulating water in pipe b; and represent the inlet temperature and outlet temperature of pipe b respectively; γ b represents the temperature loss coefficient of pipe b; L b represents the length of pipe b; Indicates the ambient temperature; represents the fluid mixing temperature at the confluence node; represents the set of pipelines ending at node i; Represents the set of pipelines starting with node i.

[0281] In an exemplary embodiment of the present invention, the establishment module 410 may use the following model to determine the heat pump:

[0282]

[0283]

[0284] in, and Respectively represent the electrical power consumed by the heat pump and the thermal power output; COP i Indicates the energy efficiency coefficient of the heat pump; and They represent the upper and lower limits of the heat pump output thermal power respectively.

[0285] In an exemplary embodiment of the present invention, the establishment module 410 may use the following model to determine the heat storage device:

[0286]

[0287]

[0288]

[0289] in, and Respectively represent the charging power and releasing power of the heat storage device; and They represent the heat charging efficiency and heat releasing efficiency of the heat storage device respectively; Indicates the heat energy loss rate of the heat storage device; Represents the thermal energy stored in the heat storage device; and They represent the upper and lower limits of the charging power of the heat storage device respectively; and They represent the upper and lower limits of the heat release power of the heat storage device respectively; and They represent the upper and lower limits of the thermal energy stored in the heat storage device respectively; Δt represents the scheduling time interval.

[0290] In an exemplary embodiment of the present invention, the establishment module 410 may use the following model to determine the power storage device:

[0291]

[0292]

[0293]

[0294] in, and Respectively represent the charging power and discharging power of the energy storage device; and They represent the charging efficiency and discharging efficiency of the energy storage device respectively; Indicates the energy loss rate of the power storage device; Represents the electrical energy stored in the storage device; and Respectively represent the upper and lower limits of the charging power of the power storage device; and Respectively represent the upper and lower limits of the discharge power of the power storage device; and They represent the upper and lower limits of the stored electrical energy of the power storage device respectively; Δt represents the scheduling time interval.

[0295] Figure 5 An example of a physical structure diagram of an electronic device is shown below. Figure 5 As shown, the electronic device may include: a processor (processor) 510, a communication interface (Communications Interface) 520, a memory (memory) 530 and a communication bus 540, wherein the processor 510, the communication interface 520, and the memory 530 communicate with each other through the communication bus 540. The processor 510 can call the logic instructions in the memory 530 to execute the interconnected integrated energy network scheduling method based on the P2P transaction mode. The method is applied to the interconnected integrated energy network system, wherein the interconnected integrated energy network system includes multiple sub-electric and thermal networks, and the sub-electric and thermal networks include at least power networks, thermal networks, distributed generators, wind turbines, cogeneration units, heat pumps, power storage devices and heat storage devices. The sub-electric and thermal networks are connected by soft switches and trade in a P2P transaction mode. The method includes: based on the P2P transaction mode, establishing an operation model for the interconnected integrated energy network system, wherein the operation model includes The operating cost of each sub-electric and thermal network includes the cost of purchasing electricity from the upper-level power network, the operating cost of the distributed generator sets, the operating cost of the cogeneration units, and the cost of purchasing electricity from the same-level electric and thermal network. The operating model is solved in a distributed manner to obtain the first amount of electricity related to the cost of purchasing electricity from the upper-level power network, the active power output of the distributed generator sets related to the operating cost of the distributed generator sets, the natural gas power input of the cogeneration units related to the operating cost of the cogeneration units, and the second amount of electricity related to the cost of purchasing electricity from the same-level electric and thermal network, so as to minimize the operating cost of each sub-electric and thermal network and the operating cost of the interconnected integrated energy network system.

[0296] In addition, the logic instructions in the above-mentioned memory 530 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0297] On the other hand, the present invention also provides a computer program product, which includes a computer program, which can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the interconnected comprehensive energy network scheduling method based on the P2P transaction mode provided by the above methods. The method is applied to an interconnected comprehensive energy network system, wherein the interconnected comprehensive energy network system includes multiple sub-electric and thermal networks, and the sub-electric and thermal networks include at least power networks, thermal networks, distributed generators, wind turbines, cogeneration units, heat pumps, power storage devices and heat storage devices. The sub-electric and thermal networks are connected by soft switches and trade in a P2P transaction mode. The method includes: based on P2P transaction An easy model is used to establish an operation model for the interconnected comprehensive energy network system, wherein the operation model includes the operation cost of each sub-electric and thermal network, and the operation cost includes the cost of purchasing electricity from the upper-level power network, the operation cost of the distributed generator set, the operation cost of the cogeneration unit, and the cost of purchasing electricity from the same-level electric and thermal network; the operation model is solved in a distributed manner to obtain a first amount of electricity related to the cost of purchasing electricity from the upper-level power network, the active power output of the distributed generator set related to the operation cost of the distributed generator set, the natural gas power input of the cogeneration unit related to the operation cost of the cogeneration unit, and the second amount of electricity related to the cost of purchasing electricity from the same-level electric and thermal network, so as to minimize the operation cost of each sub-electric and thermal network and the operation cost of the interconnected comprehensive energy network system.

[0298] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which is implemented when the computer program is executed by a processor to execute the interconnected integrated energy network scheduling method based on the P2P transaction mode provided by the above methods, wherein the method is applied to an interconnected integrated energy network system, wherein the interconnected integrated energy network system includes multiple sub-electric and thermal networks, and the sub-electric and thermal networks include at least a power network, a thermal network, a distributed generator set, a wind turbine set, a cogeneration unit, a heat pump, an electricity storage device, and a heat storage device. The sub-electric and thermal networks are connected by soft switches and traded in a P2P transaction mode. The method includes: establishing information about the interconnected integrated energy network based on the P2P transaction mode; An operation model of a network system is provided, wherein the operation model includes the operation cost of each sub-electric and thermal network, and the operation cost includes the electricity purchase cost of the upper-level power network, the operation cost of the distributed generator set, the operation cost of the cogeneration unit, and the electricity purchase cost of the same-level electric and thermal network; the operation model is solved in a distributed manner to obtain a first electric energy quantity related to the electricity purchase cost of the upper-level power network, the active power output of the distributed generator set related to the operation cost of the distributed generator set, the natural gas power input of the cogeneration unit related to the operation cost of the cogeneration unit, and the second electric energy quantity related to the electricity purchase cost of the same-level electric and thermal network, so as to minimize the operation cost of each sub-electric and thermal network and the operation cost of the interconnected comprehensive energy network system.

[0299] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they may be located in one location or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Persons of ordinary skill in the art will be able to understand and implement the present invention without inventive effort.

[0300] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, or of course, by hardware. Based on this understanding, the essence of the above technical solution or the part that contributes to the existing technology can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, an optical disk, etc., and includes a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or certain parts of the embodiments.

[0301] It is further understood that although operations are described in a particular order in the accompanying drawings in the embodiments of the present disclosure, this should not be construed as requiring that the operations be performed in the particular order shown or in a serial order, or that all of the operations shown be performed to obtain the desired results. In certain circumstances, multitasking and parallel processing may be advantageous.

[0302] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A method for scheduling an interconnected integrated energy network based on a P2P transaction model, characterized in that: The method is applied to an interconnected integrated energy network system, wherein the interconnected integrated energy network system includes multiple sub-electric and thermal networks, each of which includes at least a power network, a thermal network, a distributed generator set, a wind turbine set, a cogeneration unit, a heat pump, an electric storage device, and a heat storage device. The sub-electric and thermal networks are connected via soft switches and traded in a P2P transaction mode. The method includes: Based on the P2P transaction model, an operation model of the interconnected integrated energy network system is established, wherein the operation model includes the operation cost of each of the sub-electric and thermal networks, and the operation cost includes the cost of purchasing electricity from the upper-level power network, the operation cost of the distributed generator set, the operation cost of the cogeneration unit, and the cost of purchasing electricity from the same-level electric and thermal network. The operation model of the interconnected integrated energy network system includes the sum of the operation costs of each of the sub-electric and thermal networks, and the operation cost is determined using the following formula: ； in, represents the running cost, represents the cost of purchasing electricity from the upper power network, represents the operating cost of the distributed generator set, represents the operating cost of the cogeneration unit, represents the cost of electricity purchased by the same-level electric heating network, which is the cost of the electric heating network n purchasing electricity from other electric heating networks in the P2P trading market, or the income from selling electricity to other electric heating networks, where The cost of electricity purchased by the upper-level power network is determined by the following formula: ； in, Indicates the unit price of purchasing electricity from the upper power network, represents the first amount of electric energy with respect to the cost of purchasing electric energy from the upper power network, wherein, The operating cost of the distributed generator set is determined by the following formula: ； in, represents the active power output by the distributed generator set, represents the first constant coefficient, represents the second constant coefficient, represents the third constant coefficient, where The operating cost of the cogeneration unit is determined by the following formula: ； in, represents the unit price of natural gas, represents the natural gas power input by the cogeneration unit, where The cost of purchasing electricity for the same-level electric heating network is determined by the following formula: ； in, Indicates the unit price of electricity purchased between peer-to-peer electric and heating networks based on the P2P transaction model; represents the second amount of electric energy regarding the cost of purchasing electric energy for the same-level electric heating network between the sub-electric heating network m and the sub-electric heating network n, Represents the sub-electrical heating network n A collection of connected sub-electrical and thermal networks; The operation model is solved in a distributed manner to obtain a first amount of electric energy related to the cost of purchasing electric energy from the upper-level power network, an active power output by the distributed generator set related to the operating cost of the distributed generator set, a natural gas power input by the cogeneration unit related to the operating cost of the cogeneration unit, and a second amount of electric energy related to the cost of purchasing electric energy from the same-level electric and thermal network, so as to minimize the operating cost of each of the sub-electric and thermal networks and the operating cost of the interconnected integrated energy network system, wherein the distributed solution of the operation model includes: Acquiring a target auxiliary variable, wherein the target auxiliary variable is an auxiliary variable of a second amount of electric energy related to the cost of purchasing electric energy for the same-level electric heating network; Based on the equality of demand and supply in the P2P transaction model and the target auxiliary variable, the cost of purchasing electricity from the same-level electric heating network is hidden in the operation model to obtain a simplified operation model; Performing matrix transformation on the simplified running model to obtain a matrix model of the simplified running model, and constructing an augmented Lagrangian function of the matrix model; Based on the augmented Lagrangian function, the operation model is solved in a distributed manner using the alternating direction multiplier method, wherein: The simplified operational model includes a constraint function including a second amount of electrical energy related to a cost of purchasing electrical energy for the peer electrothermal network.

2. The interconnected integrated energy network scheduling method based on the P2P transaction mode according to claim 1 is characterized in that: The power network has the following model: ； in, represents the total active power injected at node j in the power network, including the first amount of electric energy with respect to the cost of purchasing electric energy from the upper power network , the second amount of electricity for the cost of purchasing electricity from the same level electric heating network , the active output of the distributed generator set , the active power output of the cogeneration unit , the active output of the wind turbine , the charging power of the power storage device and discharge power ; represents the total active load at node j in the power network, including the base load and the active power consumed by the heat pump ; represents the total reactive power injected at node j in the power network, including the reactive power from the upper power network and the reactive output of the distributed generator set ; represents the reactive load at node j in the power network; and Respectively represent the active power and reactive power of the line from node i to node j in the power network; and represent the line resistance and line reactance from node i to node j in the power network respectively; represents the voltage amplitude of node i in the power network; Indicates the reference voltage; Represents the set of downstream nodes of node j.

3. The interconnected integrated energy network scheduling method based on the P2P transaction mode according to claim 1 is characterized in that: The distributed generator set has the following model: ； in, Represents the reactive power output by the distributed generator set; and Respectively represent the upper limit and lower limit of the active power of the distributed generator set; and They respectively represent the upper limit and lower limit of the reactive power of the distributed generator set.

4. The interconnected integrated energy network scheduling method based on the P2P transaction mode according to claim 1 is characterized in that: The cogeneration unit has the following model: ； in, and Respectively represent the electrical power and thermal power output by the cogeneration unit; and represent the gas-to-electricity efficiency and gas-to-heat efficiency of the cogeneration unit respectively; and They respectively represent the upper limit and lower limit of the natural gas input power of the cogeneration unit.

5. The interconnected integrated energy network scheduling method based on the P2P transaction mode according to claim 1 is characterized in that: The soft switch connecting the sub-electrothermal network m and the sub-electrothermal network n has the following model: ； in, represents the active power loss in the soft switch; represents the power loss coefficient of the soft switch; Represents the set of sub-electro-thermal networks connected to the sub-electro-thermal network n.

6. The interconnected integrated energy network scheduling method based on the P2P transaction mode according to claim 1 is characterized in that: The matrix model of the simplified running model has the following model: ； Among them, y n represents the remaining decision variables in the simplified operation model except the second amount of electric energy related to the cost of purchasing electric energy for the same-level electric heating network; n a second electric energy quantity representing the constraint function in the simplified operation model with respect to the cost of purchasing electric energy for the same-level electric and heating network; represents the target auxiliary variable; f n d n 、C n 、D n and E n Both represent constant coefficients; N represents the set of sub-electrical heating networks.

7. The interconnected integrated energy network scheduling method based on the P2P transaction mode according to claim 6 is characterized in that: The augmented Lagrangian function is determined using the following formula: ； in, Represents the constraint function The dual variable of is used to represent the unit price of electricity purchased between the same-level electric and heating networks based on the P2P transaction model; Represents the penalty parameter.

8. The interconnected integrated energy network scheduling method based on the P2P transaction mode according to claim 1 is characterized in that: The distributed solution of the operation model using the alternating direction multiplier method based on the augmented Lagrangian function includes: S1: Determine the convergence threshold , determine the unit price of electricity purchased between the same-level electric heating networks based on the initial P2P transaction model , and set the number of iterations k=0, where the convergence threshold ; S2: Based on the independence of each of the sub-electrical heating networks, update the remaining decision variables y in the simplified operation model in parallel except for the second amount of electricity related to the cost of purchasing electricity for the same-level electric heating network n , and the second electric energy quantity z of the constraint function in the simplified running model about the cost of purchasing electric energy for the same-level electric heating network n ,in, ； S3: Update the second electric energy quantity z of the sub-electrical heating network n k+1 Share to other sub-electric and thermal networks in the interconnected integrated energy network system, and Update, where ； S4: Update the unit price λ of electricity purchased between the same-level electric heating networks based on the P2P transaction model n k ,in, ； S5: Perform convergence test, if , the calculation is terminated and the final result is output ,in, Indicates the updated unit price of electricity purchased between the same-level electric heating networks; otherwise, update And return to S2.

9. The interconnected integrated energy network scheduling method based on the P2P transaction mode according to claim 1 is characterized in that: The thermal network has the following model: ； Wherein, b represents the pipeline of the thermal network; Represents the total thermal power injected into the thermal network by the heat source, including the thermal output of the cogeneration unit , the heat output of the heat pump , the charging power of the heat storage device and the heat release power of the heat storage device ; Indicates the heat consumption power of the heat load; represents the specific heat capacity of water; Indicates the mass flow rate of circulating water injected from the return pipe into the water supply pipe at the heat source; Indicates the mass flow rate of circulating water injected from the water supply pipe into the return pipe at the heat load; and Represents the supply water temperature and return water temperature respectively; represents the mass flow rate of circulating water in pipe b; and represent the inlet and outlet temperatures of pipe b respectively; Represents a pipeline Temperature loss coefficient; represents the length of pipe b; Indicates the ambient temperature; represents the fluid mixing temperature at the confluence node; represents the set of pipelines ending at node i; Represents the set of pipelines starting with node i.

10. The interconnected integrated energy network scheduling method based on the P2P transaction mode according to claim 1 is characterized in that: The heat pump has the following model: ； in, and Respectively represent the electrical power consumed and the thermal power output by the heat pump; represents the energy efficiency coefficient of the heat pump; and They respectively represent the upper limit and lower limit of the heat pump output thermal power.

11. The interconnected integrated energy network scheduling method based on the P2P transaction mode according to claim 1 is characterized in that: The heat storage device has the following model: ； in, and Respectively represent the charging power and the releasing power of the heat storage device; and Respectively represent the heat charging efficiency and heat releasing efficiency of the heat storage device; Indicates the heat energy loss rate of the heat storage device; represents the thermal energy stored in the heat storage device; and Respectively represent the upper and lower limits of the heat storage power; and Respectively represent the upper and lower limits of the heat release power of the heat storage device; and Respectively represent the upper limit and lower limit of the thermal energy stored in the heat storage device; Indicates the scheduling time interval.

12. The interconnected integrated energy network scheduling method based on the P2P transaction mode according to claim 1 is characterized in that: The power storage device has the following model: ； in, and Respectively represent the charging power and discharging power of the power storage device; and represent the charging efficiency and discharging efficiency of the power storage device respectively; Indicates the power loss rate of the power storage device; represents the electrical energy stored in the electrical storage device; and Respectively represent the upper and lower limits of the charging power of the power storage device; and Respectively represent the upper and lower limits of the discharge power of the power storage device; and Respectively represent the upper limit and lower limit of the stored electrical energy of the electrical storage device; Indicates the scheduling time interval.

13. An interconnected integrated energy network scheduling device based on a P2P transaction model, characterized in that: The device is applied to an interconnected integrated energy network system, wherein the interconnected integrated energy network system includes multiple sub-electric and thermal networks, and the sub-electric and thermal networks include at least a power network, a thermal network, a distributed generator set, a wind turbine set, a cogeneration unit, a heat pump, an electricity storage device, and a heat storage device. The sub-electric and thermal networks are connected by soft switches and traded in a P2P transaction mode. The device is used to implement the interconnected integrated energy network scheduling method based on the P2P transaction mode according to any one of claims 1 to 12, and the device includes: An establishment module is used to establish an operation model of the interconnected integrated energy network system based on the P2P transaction model, wherein the operation model includes the operation cost of each of the sub-electric and thermal networks, and the operation cost includes the cost of purchasing electricity from the upper-level power network, the operating cost of the distributed generator set, the operating cost of the cogeneration unit, and the cost of purchasing electricity from the same-level electric and thermal network; The processing module is used to perform a distributed solution on the operation model to obtain a first amount of electric energy related to the cost of purchasing electric energy from the upper-level power network, an active power output by the distributed generator set related to the operating cost of the distributed generator set, a natural gas power input by the cogeneration unit related to the operating cost of the cogeneration unit, and a second amount of electric energy related to the cost of purchasing electric energy from the same-level electric and thermal network, so as to minimize the operating cost of each of the sub-electric and thermal networks and the operating cost of the interconnected integrated energy network system.

14. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, it implements the interconnected integrated energy network scheduling method based on the P2P transaction model as described in any one of claims 1 to 12.

15. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for scheduling an interconnected integrated energy network based on a P2P transaction model as described in any one of claims 1 to 12 is implemented.

16. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the method for scheduling an interconnected integrated energy network based on a P2P transaction model as described in any one of claims 1 to 12 is implemented.

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