CN114764681A - P2P transaction mode-based interconnected comprehensive energy network scheduling method and device - Google Patents

Abstract

The invention provides a P2P transaction mode-based interconnected comprehensive energy network scheduling method and device, wherein the method is applied to an interconnected comprehensive energy network system, the interconnected comprehensive energy network system comprises a plurality of sub electric heating networks, and the method comprises the following steps: establishing an operation model of the interconnected comprehensive energy network system based on the P2P transaction mode; and carrying out distributed solving on the operation model to obtain a first electric energy quantity related to the purchase electric energy cost of a superior electric power network, active power output by the distributed generator set related to the operation cost of the distributed generator set, natural gas power input by the cogeneration set related to the operation cost of the cogeneration set, and a second electric energy quantity related to the purchase electric energy cost of the same-level electric heating networks, so that the operation cost of each sub-electric heating network and the operation cost of the interconnected comprehensive energy network system are the lowest. The invention realizes the maximization of the overall benefit of the interconnected comprehensive energy network system.

Description

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

technical field

The invention relates to the technical field of interconnected integrated energy networks, in particular to a method and device for interconnected integrated energy network scheduling based on a P2P transaction mode.

Background technique

Energy crisis and environmental pollution are two major problems in modern society. In order to cope with these crises, renewable energy, mainly wind power and photovoltaics, has developed rapidly in recent years. In order to promote the consumption of new energy, a series of researches have been carried out in the power system, such as the application of a series of energy storage technologies such as battery energy storage, flywheel energy storage, and compressed air energy storage, as well as the application of demand side response. However, these technologies are still only exploiting the flexibility potential of the power system, and there are still great limitations and deficiencies in the face of large-scale new energy consumption problems.

Electric energy, as a ready-to-use, instantaneously balanced form of energy, is extremely fast to transmit but difficult to store. On the contrary, as a delayed energy form, thermal energy has the characteristics of easy storage and difficult transmission, and has natural complementary characteristics with the characteristics of electrical energy, which is difficult to store and easy to transmit. Therefore, the thermal system is a huge inertial system relative to the electric power system. , which can provide huge energy storage potential for the grid. Therefore, the electrothermal coupling system (also known as the interconnected integrated energy network) can greatly improve the flexibility of the system and promote the large-scale consumption of new energy. At present, finding a way to minimize the operating cost of the interconnected integrated energy network system has become a current research hotspot.

SUMMARY OF THE INVENTION

The invention provides an interconnected integrated energy network scheduling method and device based on a P2P transaction mode, which can maximize the overall benefits of the interconnected integrated energy network system on the basis of ensuring the interests of each electric heating subject.

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 a plurality of sub-electric heating networks, and the sub-electric heating networks at least include Electric power network, thermal network, distributed generating unit, wind turbine, cogeneration unit, heat pump, power storage device and heat storage device, the sub-electric heating networks are connected through soft switches and trade in a P2P transaction mode, the The method includes: establishing an operation model about the interconnected integrated energy network system based on the P2P transaction mode, wherein the operation model includes the operation cost of each of the sub-electric heating networks, and the operation cost includes the purchase of electric energy by the upper-level power network cost, operating cost of distributed generating units, operating cost of cogeneration unit, and cost of purchasing electric energy from the same-level electric heating network; perform distributed solution to the operating model, and obtain the first electric energy quantity, The active power output by the distributed generator set regarding the operating cost of the distributed generator set, the natural gas power input by the cogeneration unit regarding the operating cost of the cogeneration unit, and the cost of purchasing electricity from the same-level electric heating network The second amount of electrical energy is to minimize the operating cost of each of the sub-electrical heating networks and the operating cost of the interconnected integrated energy network system.

According to an interconnected integrated energy network scheduling method based on a P2P transaction mode provided by the present invention, the operation model for the interconnected integrated energy network system includes the sum of the operation costs of each of the sub-electrical heating networks, and the operation cost adopts The following formula determines:

表示所述运行成本，

表示所述上级电力网络购买电能成本，

表示所述分布式发电机组运行成本，

表示所述热电联产机组运行成本，

表示所述同级电热网络购买电能成本。in,

represents the running cost,

represents the cost of purchasing power from the upper-level power network,

represents the operating cost of the distributed generator set,

represents the operating cost of the cogeneration unit,

Indicates the cost of electric energy purchased by the electric heating network at the same level.

According to an interconnected comprehensive energy network scheduling method based on the P2P transaction mode provided by the present invention, the cost of purchasing electric energy from the upper-level electric power network is determined by the following formula:

表示从上级电力网络购买电能的单价，

表示关于所述上级电力网络购买电能成本的第一电能数量，所述电力网络具有如下模型：in,

Represents the unit price of electric energy purchased from the upper-level power network,

Represents the first amount of electrical energy with respect to the cost of purchasing electrical energy from the upper-level electrical network, the electrical network having the following model:

V _j,t =V _i,t -(r _ij P _ij,t +x _ij Q _ij,t )/V ₀

关于所述同级电热网络购买电能成本的第二电能数量

所述分布式发电机组的有功出力

所述热电联产机组的有功出力

所述风电机组的有功出力

所述储电装置的充电功率

和放电功率

表示所述电力网络中节点j处的总有功负荷，包括基础电负荷和所述热泵消耗的有功功率

q_j,t表示所述电力网络中节点j处注入的总无功功率，包括来自上级电力网络的无功功率

和所述分布式发电机组的无功出力

表示所述电力网络中节点j处的无功负荷；P_ij,t和Q_ij,t分别表示所述电力网络中节点i到节点j的线路有功功率和无功功率；r_ij和x_ij分别表示所述电力网络中节点i到节点j的线路电阻和线路电抗；V_i,t表示所述电力网络中节点i的电压幅值；V₀表示基准电压；

表示节点j的下游节点集合。Wherein, p _j,t represents the total active power injected at node j in the power network, including the first amount of electrical energy related to the cost of electrical energy purchased by the upper-level power network

The second amount of electric energy about the cost of electric energy purchased by the electric heating network at the same level

Active power output of the distributed generator set

Active power output of the cogeneration unit

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 electrical 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-level power network

and the reactive power 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 represents 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; V ₀ represents the reference voltage;

Represents the set of downstream nodes of node j.

According to an interconnected comprehensive energy network scheduling method based on a P2P transaction mode provided by the present invention, the operating cost of the distributed generator set is determined by the following formula:

表示所述分布式发电机组输出的有功功率，

表示第一常系数，

表示第二常系数，

表示第三常系数，其中，所述分布式发电机组具有如下模型：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:

表示所述分布式发电机组输出的无功功率；

和

分别表示所述分布式发电机组的有功功率的上限和下限；

和

分别表示所述分布式发电机组的无功功率的上限和下限。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

respectively represent the upper limit and lower limit of the reactive power of the distributed generator set.

According to an interconnected comprehensive energy network scheduling method based on the P2P transaction mode provided by the present invention, the operating cost of the cogeneration unit is determined by the following formula:

表示天然气单价，

表示所述热电联产机组输入的天然气功率，其中，所述热电联产机组具有如下模型：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:

和

分别表示所述热电联产机组输出的电功率和热功率；

和

分别表示所述热电联产机组的气转电效率和气转热效率；

和

分别表示所述热电联产机组输入天然气功率的上限和下限。in,

and

respectively represent the electrical power and thermal power output by the cogeneration unit;

and

respectively represent the gas-to-electricity conversion efficiency and gas-to-heat conversion efficiency of the cogeneration unit;

and

respectively represent the upper limit and lower limit of the input natural gas power of the cogeneration unit.

According to an interconnected comprehensive energy network scheduling method based on a P2P transaction mode provided by the present invention, the electricity purchase cost of the electric heating network at the same level is determined by the following formula:

表示基于P2P交易模式的同级电热网络间购买电能的单价，

表示关于子电热网络m和子电热网络n之间的同级电热网络购买电能成本的第二电能数量，其中，连接子电热网络m和子电热网络n的所述软开关具有如下模型：in,

Indicates the unit price of electric energy purchased between electric heating networks of the same level based on the P2P transaction mode,

Represents the second electric energy quantity with respect to the cost of electric energy purchased by the electric heating network at the same level 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:

表示所述软开关中的有功功率损耗；

表示所述软开关的功率损耗系数；Mⁿ表示与所述子电热网络n连接的子电热网络集合。in,

represents the active power loss in the soft switching;

represents the power loss coefficient of the soft switch; ^Mn represents the set of sub-electrical heating networks connected to the sub-electrical heating network n.

According to an interconnected comprehensive energy network scheduling method based on a P2P transaction mode provided by the present invention, the distributed solution to the operating model includes: acquiring target auxiliary variables, wherein the target auxiliary variables are related to the same The auxiliary variable of the second electric energy quantity of the electric energy purchased by the electric heating network of the same level; based on the equality of demand and supply in the P2P transaction mode and the target auxiliary variable, the electric energy purchased by the electric heating network of the same level is hidden in the operating model. , obtain a simplified running model; perform matrix transformation on the simplified running model to obtain a matrix model about the simplified running model, and construct an augmented Lagrangian function about the matrix model; Broad Lagrangian function, distributed solution of the operating model using alternating direction multiplier method.

According to an interconnected integrated energy network scheduling method based on a P2P transaction mode provided by the present invention, the simplified operation model includes a constraint function, and the constraint function includes a second electric energy quantity related to the cost of electric energy purchased by the electric heating network at the same level, The matrix model about the simplified running model has the following model:

表示所述目标辅助变量；f_n、d_n、C_n、D_n和E_n均表示常系数。Wherein, y _n represents the remaining decision variables in the simplified operation model except for the second electric energy quantity related to the electric energy purchased by the electric heating network of the same level; z _n represents the constraints in the simplified operation model a second amount of electric energy as a function of the cost of electric energy purchased by the electric heating network at the same level;

represents the target auxiliary variable; f _n , d _n , C _n , D _n and _En all represent constant coefficients.

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

的对偶变量，用于表示基于P2P交易模式的同级电热网络间购买电能的单价；ρ表示惩罚项参数。Among them, λ _n represents the constraint function with respect to

The dual variable is used to represent the unit price of electric energy purchased between the same-level electric heating networks based on the P2P transaction mode; ρ represents the penalty item parameter.

According to an interconnected comprehensive energy network scheduling method based on a P2P transaction mode provided by the present invention, the distributed solution to the operation model by using the alternating direction multiplier method based on the augmented Lagrangian function includes:

以及设置迭代轮次次数k＝0，其中，收敛阈值ε＞0；S1: Determine the convergence threshold ε, and determine the unit price of electric energy purchased between the same-level electric heating networks based on the initialized P2P transaction mode

and setting the number of iteration rounds k=0, where the convergence threshold ε>0;

S2: Based on the independence of each of the sub-electric heating networks, update the remaining decision variables _yn in the simplified operating model in parallel except for the second amount of electric energy related to the cost of electric energy purchased by the electric heating network at the same level, and the second electric energy quantity z _n of the constraint function in the simplified operation model with respect to the electric energy purchased by the electric heating network of the same level, wherein,

stC _n y _n +D _n z _n ≤f _n

进行更新，其中，S3: Share the updated second electric energy quantity z _n ^k+1 of the sub-electric heating network to other sub-electric heating networks in the interconnected integrated energy network system, and adjust the target auxiliary variable

to update where,

其中，S4: Update the unit price of electric energy purchased between electric heating networks of the same level based on the P2P transaction mode

in,

则终止计算并输出最终的结果

否则，更新k←k+1并返回S2。S5: Convergence test is performed, if

then terminate the calculation and output the final result

Otherwise, update k←k+1 and return to S2.

According to an interconnected comprehensive energy network scheduling method based on a P2P transaction mode provided by the present invention, the thermal network has the following model:

表示热源注入所述热力网络的总热功率，包括所述热电联产机组的热出力

所述热泵的热出力

所述储热装置的充热功率

和所述储热装置的放热功率

表示热负荷的热消耗功率；c_p表示水的比热容；

表示热源处从回水管道注入供水管道的循环水质量流量；

表示热负荷处从供水管道注入回水管道的循环水质量流量；

和

分别表示供水温度和回水温度；m_b,t表示管道b的循环水质量流量；

和

分别表示管道b的入口温度和出口温度；γ_b表示管道b的温度损耗系数；L_b表示管道b的长度；

表示环境温度；

表示汇合节点处的流体混合温度；

表示以节点i为末端的管道集合；

表示以节点i为首端的管道集合。Wherein, b represents the pipeline of the thermal network;

Indicates the total thermal power injected by the heat source into the thermal network, 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 exothermic power of the heat storage device

Represents the heat consumption power of the heat load; c _p represents the specific heat capacity of water;

Represents the mass flow of circulating water injected from the return pipe into the water supply pipe at the heat source;

Represents the mass flow of circulating water injected from the water supply pipeline into the return pipeline at the heat load;

and

respectively represent the water supply temperature and return water temperature; m _{b, t} represent the mass flow of circulating water in pipeline 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 a collection of pipes ending with node i;

Represents a collection of pipes starting with node i.

According to an interconnected comprehensive energy network scheduling method based on a P2P transaction mode provided by the present invention, the heat pump has the following model:

和

分别表示所述热泵消耗的电功率和输出的热功率；COP_i表示所述热泵的能效系数；

和

分别表示所述热泵输出热功率的上限和下限。in,

and

respectively represent the electrical power consumed by the heat pump and the output thermal power; COP _i represents the energy efficiency coefficient of the heat pump;

and

respectively represent the upper limit and lower limit of the output heat power of the heat pump.

According to an interconnected comprehensive energy network scheduling method based on a P2P transaction mode provided by the present invention, the heat storage device has the following model:

和

分别表示所述储热装置的充热功率和放热功率；

和

分别表示所述储热装置的充热效率和放热效率；

表示所述储热装置的热能损耗率；

表示存储在所述储热装置的热能；

和

分别表示所述储热装置的充热功率上限和下限；

和

分别表示所述储热装置的放热功率上限和下限；

和

分别表示所述储热装置的存储热能的上限和下限；Δt表示调度的时间间隔。in,

and

respectively represent the charging power and the exothermic power of the heat storage device;

and

respectively represent the heat charging efficiency and the heat release efficiency of the heat storage device;

represents the thermal energy loss rate of the thermal storage device;

represents the thermal energy stored in said thermal storage device;

and

respectively represent the upper limit and lower limit of the charging power of the heat storage device;

and

respectively represent the upper limit and lower limit of the exothermic power of the heat storage device;

and

respectively represent the upper limit and lower limit of the stored thermal energy of the thermal storage device; Δt represents the scheduling time interval.

According to an interconnected comprehensive energy network scheduling method based on a P2P transaction mode provided by the present invention, the power storage device has the following model:

和

分别表示所述储电装置的充电功率和放电功率；

和

分别表示所述储电装置的充电效率和放电效率；

表示所述储电装置的电能损耗率；

表示存储在所述储电装置的电能；

和

分别表示所述储电装置的充电功率上限和下限；

和

分别表示所述储电装置的放电功率上限和下限；

和

分别表示所述储电装置的存储电能的上限和下限；Δt表示调度的时间间隔。in,

and

respectively represent the charging power and the discharging power of the power storage device;

and

respectively represent the charging efficiency and the discharging efficiency of the power storage device;

represents the power loss rate of the power storage device;

represents the electrical energy stored in the electrical storage device;

and

respectively represent the upper limit and lower limit of the charging power of the power storage device;

and

respectively represent the upper limit and lower limit 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 power storage device; Δt represents the scheduling time interval.

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 a plurality of sub-electric heating networks, and the sub-electric heating networks at least Including power network, thermal network, distributed generator set, wind turbine, cogeneration unit, heat pump, power storage device and heat storage device, the sub-electric heating networks are connected through soft switches and trade in P2P trading mode, all The device includes: a building module for establishing an operation model about the interconnected integrated energy network system based on the P2P transaction mode, wherein the operation model includes the operation cost of each of the sub-electric heating networks, and the operation cost Including the cost of purchasing electric energy from the upper-level power network, the operating cost of distributed generator sets, the operating cost of cogeneration units, and the cost of purchasing electric energy from the same-level electric heating network; the processing module is used to perform distributed solutions to the operating model, and obtain information about the upper-level power network. a first amount of electrical energy purchased by the power network for the cost of electrical energy, active power output by the distributed generator set in relation to the operating cost of the distributed generator set, natural gas power input by the cogeneration unit in relation to the operating cost of the cogeneration unit, and The second amount of electric energy with respect to the cost of electric energy purchased by the electric heating network at the same level, so as to minimize the operation cost of each of the sub-electric heating networks and the operation cost of the interconnected integrated energy network system.

The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, the processor implementing the P2P-based P2P-based program described above when the processor executes the program Interconnected integrated energy network scheduling method in transaction mode.

The present invention also provides a non-transitory computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, realizes the interconnected comprehensive energy network scheduling method based on any one of the above-mentioned P2P transaction mode .

The present invention also provides a computer program product, including a computer program, which, when executed by a processor, implements the interconnected integrated energy network scheduling method based on the P2P transaction mode described in any of the above.

The interconnected integrated energy network scheduling method and device based on the P2P transaction mode provided by the present invention is applied to an interconnected integrated energy network system, wherein the interconnected integrated energy network system includes a plurality of sub-electric heating networks. The invention determines the transaction rules between the sub-electric heating networks through the P2P transaction mode to encourage each sub-electric heating network to participate in the P2P transaction, and establishes the operation model of the interconnected comprehensive energy network system based on the P2P transaction. Then, the operation model is solved in a distributed manner, and under the premise of protecting the privacy data of each sub-electric heating network, the first electric energy quantity of the purchase electric energy cost of the superior electric power network, the active power output by the distributed generator set, and the input value of the cogeneration set are obtained. Natural gas power, and the second amount of electric energy purchased by the electric heating network at the same level, so as to minimize the operation cost of each sub-electric heating network and the operation cost of the interconnected integrated energy network system. The interconnected comprehensive energy network scheduling method based on the P2P transaction mode proposed by the present invention does not require each sub-electric heating network to share private data, and satisfies the principle of incentive compatibility, and realizes that each sub-electric heating network pursues its own interests while maximizing the interconnection. The overall interests of the integrated energy network system are guaranteed to maximize the overall interests of the interconnected integrated energy network system on the basis of the interests of each electric heating subject.

Description of drawings

In order to explain the present invention or the technical solutions in the prior art more clearly, the following will briefly introduce the accompanying drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are the For some embodiments of the invention, for those of ordinary skill in the art, other drawings can also be obtained according to these drawings without any creative effort.

Fig. 1 is one of the schematic flow charts of the interconnected integrated energy network scheduling method based on the P2P transaction mode provided by the present invention;

Fig. 2 is the schematic flowchart of the distributed solution to the running model provided by the present invention;

Fig. 3 is the schematic flow chart of the distributed solution of the running model by the alternate direction multiplier method based on the augmented Lagrangian function provided by the present invention;

4 is a schematic structural diagram of an interconnected integrated energy network dispatching device based on a P2P transaction mode provided by the present invention;

FIG. 5 is a schematic structural diagram of an electronic device provided by the present invention.

Detailed ways

In order to make the objectives, technical solutions and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention. , not all examples. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

With the development of distributed power generation resources, more and more sub-electric heating networks have begun to use interconnected operation to improve the overall energy utilization efficiency (corresponding to the interconnected integrated energy network system). For the interconnected integrated energy network system, each sub-electric heating network in the interconnected integrated energy network system is an independent individual, pursuing the maximization of its own interests, and the way of P2P (peer-to-peer, peer-to-peer) transaction can be very good. Taking into account the interests of each subject, thereby encouraging each sub-electric heating network to participate in the overall coordinated operation. Therefore, it is urgent to design an interconnected integrated energy network scheduling method based on the P2P transaction mode to minimize the operating cost of the interconnected integrated energy network system.

The interconnected comprehensive energy network scheduling method based on the P2P transaction mode provided by the invention pursues the maximization of the overall interests of the interconnected electric heating system on the basis of ensuring the self-interest of each electric heating subject.

The present invention will describe the process of the interconnected integrated energy network scheduling method based on the P2P transaction mode with reference to FIG. 1 .

FIG. 1 is one of the schematic flow charts of the interconnected integrated energy network scheduling method based on the P2P transaction mode provided by the present invention.

In an exemplary embodiment of the present invention, an interconnected integrated energy network scheduling method based on a P2P transaction mode can be applied to an interconnected integrated energy network system. Wherein, the interconnected integrated energy network system may include a plurality of sub-electrical heating networks. For the sub-electrical heating networks, it is generally connected to the upper-level power grid through a common connection point. Wherein, each sub-electric heating network may include at least an electric power network, a thermal network, a distributed generator set, a wind turbine set, a combined heat and power set, a heat pump, an electricity storage device and a heat storage device. Sub-electric heating networks can be connected through soft switches and trade in P2P trading mode.

Soft switch is a new type of power electronic device, generally composed of two voltage source inverters, which can flexibly control the power flow at both ends. Both ends of the soft switch can be connected to a grid node of two sub-electric heating networks respectively In this way, flexible and controllable power exchange between the two networks is realized, which provides a solid physical foundation for the establishment of the subsequent P2P trading market.

1, 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 separately below.

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

In the interconnected integrated energy network system, the goal of each sub-electric heating network is to maximize its own benefits or minimize its own operating costs. Therefore, the operating costs of all sub-electric heating networks can be added up to obtain the total social operating cost (corresponding to the interconnected integrated energy network system). It can be seen that minimizing the total cost of social operation (maximizing social welfare) is the goal pursued. In one example, the operating model for the interconnected integrated energy network system may include the sum of the operating costs of the various sub-electrical heating networks.

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

Since the transaction unit price between the cost of electric energy purchased by the electric heating network at the same level is not a known quantity given in advance, the corresponding market equilibrium price can be obtained only after the problem is solved. This brings a paradox to the solution of the problem. Second, each sub-electric heating network has different stakeholders and is unwilling to share its own private data, so the traditional centralized solution algorithm cannot be applied. In an example, the operating model can be solved in a distributed manner, and on the premise of protecting the privacy data of each sub-electric heating network, the first electric energy quantity of the electric energy purchased by the superior electric power network, the active power output by the distributed generator set, the thermoelectric power The natural gas power input by the co-generation unit and the second amount of electric energy purchased by the electric heating network at the same level are used to minimize the operating cost of each sub-electric heating network and the operating cost of the interconnected integrated energy network system.

It should be noted that, the first amount of electric energy related to the cost of purchasing electric energy from the upper-level electric power network may be the active power from the upper-level electric power grid. The second amount of electric energy with respect to the cost of electric energy purchased by the electric heating network at the same level may be the active power of the remaining sub electric heating networks obtained based on the P2P transaction.

The interconnected integrated energy network scheduling method based on the P2P transaction mode provided by the present invention is applied to an interconnected integrated energy network system, wherein the interconnected integrated energy network system includes a plurality of sub-electric heating networks. The invention determines the transaction rules between the sub-electric heating networks through the P2P transaction mode to encourage each sub-electric heating network to participate in the P2P transaction, and establishes the operation model of the interconnected comprehensive energy network system based on the P2P transaction. Then, the operation model is solved in a distributed manner, and under the premise of protecting the privacy data of each sub-electric heating network, the first electric energy quantity of the purchase electric energy cost of the superior electric power network, the active power output by the distributed generator set, and the input value of the cogeneration set are obtained. Natural gas power, and the second amount of electric energy purchased by the electric heating network at the same level, so as to minimize the operation cost of each sub-electric heating network and the operation cost of the interconnected integrated energy network system. The interconnected integrated energy network scheduling method based on the P2P transaction mode proposed by the present invention does not require each sub-electric heating network to share private data, and satisfies the principle of incentive compatibility, and realizes that each sub-electric heating network pursues its own interests while maximizing the interconnection. The overall interests of the integrated energy network system are guaranteed to maximize the overall interests of the interconnected integrated energy network system on the basis of the interests of each electric heating subject.

In order to further introduce the interconnected comprehensive energy network scheduling method based on the P2P transaction mode provided by the present invention, the following will be described with reference to the following embodiments.

In one embodiment, a mathematical model of an interconnected integrated energy grid system may be established. The sub-electric heating network in the interconnected integrated energy network system includes at least an electric power network, a thermal network, a distributed generator set, a wind turbine set, a combined heat and power set, a heat pump, an electricity storage device and a heat storage device. For the power network, it is generally a radial network, so a linearized branch power flow model can be used to describe it.

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

V _j,t =V _i,t -(r _ij P _ij,t +x _ij Q _ij,t )/V ₀ (3)

关于同级电热网络购买电能成本的第二电能数量(又称来自其余子电热网络的有功功率)

分布式发电机组的有功出力

热电联产机组的有功出力

风电机组的有功出力

储电装置的充电功率

和放电功率

表示电力网络中节点j处的总有功负荷，包括基础电负荷和热泵消耗的有功功率

q_j,t表示电力网络中节点j处注入的总无功功率，包括来自上级电力网络的无功功率

和分布式发电机组的无功出力

表示电力网络中节点j处的无功负荷；P_ij,t和Q_ij,t分别表示电力网络中节点i到节点j的线路有功功率和无功功率；r_ij和x_ij分别表示电力网络中节点i到节点j的线路电阻和线路电抗；V_i,t表示电力网络中节点i的电压幅值；V₀表示基准电压；

表示节点j的下游节点集合。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 (also known as the active power from the superior power network) about the cost of purchasing power from the superior power network.

The second quantity of electric energy (also known as the active power from the remaining sub-electric heating networks) about the cost of electric energy purchased by the electric heating network at the same level

Active Power Output of Distributed Generating Sets

Active power output of cogeneration units

Active output of wind turbines

The charging power of the storage device

and discharge power

represents the total active load at node j in the power network, including the base electrical 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-level power network

and reactive power output of distributed generator sets

Represents the reactive load at node j in the power network; P _ij,t and Q _ij,t represent the active power and reactive power of the line from node i to node j in the power network, respectively; r _ij and x _ij represent the power network. Line resistance and line reactance from node i to node j; V _i,t represents the voltage amplitude of node i in the power network; V ₀ represents the reference voltage;

Represents the set of downstream nodes of node j.

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

The thermal network can consist of water supply pipes and return water pipes, and uses circulating water for heat transmission and distribution. At the heat source node (usually configured with a cogeneration unit or 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 temperature difference between the supply and return water 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 used, and the circulating water mass flow described by the flow equation can be given, so that the heat flow model can be described as a heat flow model that only includes the heat transfer equation. Linear form.

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

表示热源注入热力网络的总热功率，包括热电联产机组的热出力

热泵的热出力

储热装置的充热功率

和储热装置的放热功率

表示热负荷的热消耗功率；c_p表示水的比热容；

表示热源处从回水管道注入供水管道的循环水质量流量；

表示热负荷处从供水管道注入回水管道的循环水质量流量；

和

分别表示供水温度和回水温度；m_b,t表示管道b的循环水质量流量；

和

分别表示管道b的入口温度和出口温度；γ_b表示管道b的温度损耗系数；L_b表示管道b的长度；

表示环境温度；

表示汇合节点处的流体混合温度；

表示以节点i为末端的管道集合；

表示以节点i为首端的管道集合。Among them, b represents the pipeline of the thermal network;

Indicates the total thermal power injected by the heat source into the thermal network, including the thermal output of the cogeneration unit

heat output of heat pump

The charging power of the heat storage device

and the exothermic power of the heat storage device

Represents the heat consumption power of the heat load; c _p represents the specific heat capacity of water;

Represents the mass flow of circulating water injected from the return pipe into the water supply pipe at the heat source;

Represents the mass flow of circulating water injected from the water supply pipeline into the return pipeline at the heat load;

and

respectively represent the water supply temperature and return water temperature; m _{b, t} represent the mass flow of circulating water in pipeline 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 a collection of pipes ending with node i;

Represents a collection of pipes starting with node i.

Among them, constraints (4) and (5) represent the energy exchange process at the heat source and heat load nodes, respectively; constraint (6) describes the drop process of the temperature from the head end to the end of the pipeline; constraint (7) represents the confluence of the heat network The relationship between the temperature of the incoming water flow at node i and the mixing temperature at this node; Constraint (8) describes the relationship between the temperature of the water flow leaving at node i where the heat network converges and the mixing temperature at this node.

The sub-electric heating network may include local distributed generating units (eg, distributed gas-fired units), which can simultaneously provide active power and reactive power to meet the energy supply requirements of the system. In one embodiment, a distributed generator set may have the following model:

表示分布式发电机组输出的有功功率；

表示分布式发电机组输出的无功功率；

和

分别表示分布式发电机组的有功功率的上限和下限；

和

分别表示分布式发电机组的无功功率的上限和下限。in,

Indicates the active power output by the distributed generator set;

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

Represent the upper and lower limits of the reactive power of the distributed generator set, respectively.

Among them, constraints (9) and (10) describe the output ranges of active power and reactive power of the distributed generator set, respectively.

而且其可用出力会受到天气等因素的影响。It should be noted that wind turbines generally only provide active power

And its available output will be affected by factors such as weather.

The cogeneration unit is a key coupling element in the electric heating system, which can simultaneously provide electric energy and thermal energy to meet the diversified energy supply needs. In the electric heating network studied in the present invention, the cogeneration unit generally consumes natural gas resources for energy supply.

In one embodiment, a cogeneration plant may have the following model:

和

分别表示热电联产机组输出的电功率和热功率；

表示热电联产机组输入的天然气功率；

和

分别表示热电联产机组的气转电效率和气转热效率；

和

分别表示热电联产机组输入天然气功率的上限和下限。in,

and

Respectively represent the electrical power and thermal power output by the cogeneration unit;

Indicates the natural gas power input by the cogeneration unit;

and

respectively represent the gas-to-electricity and gas-to-heat efficiency of the cogeneration unit;

and

represent the upper and lower limits of the input natural gas power of the cogeneration unit, respectively.

Among them, constraints (11) and (12) can represent the relationship between the natural gas power input by the cogeneration unit and the electric power and thermal power produced. 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.

The heat pump is another key coupling element in the sub-electric heating network, which can force the heat to flow from the low temperature area to the high temperature area in a reverse cycle by consuming electric energy, so as to realize the efficient supply of heat energy. Generally speaking, the ratio of the thermal power of the heat pump to the electric power it consumes can reach 3 to 4 times, which is also called the energy efficiency coefficient of the heat pump.

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

和

分别表示热泵消耗的电功率和输出的热功率；COP_i表示热泵的能效系数；

和

分别表示热泵输出热功率的上限和下限。in,

and

Represents the electrical power consumed by the heat pump and the output thermal power; COP _i represents the energy efficiency coefficient of the heat pump;

and

represent the upper and lower limits of the heat pump output heat power, respectively.

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

In the operation of the sub-electric heating network, the power storage device and the heat storage device play two core roles. First, it plays the role of peak shaving and valley filling, which can exchange peak load and low valley load according to energy price signals, thereby improving the economy of the overall operation of the system. The second is to play the role of flexibility adjustment to compensate for the power gap caused by the fluctuation of new energy in the system, thereby improving the flexibility and reliability of system operation. The operating constraints of the electrical and thermal storage devices can be described by the following equations.

和

分别表示储电装置的充电功率和放电功率；

和

分别表示储电装置的充电效率和放电效率；

表示储电装置的电能损耗率；

表示存储在储电装置的电能；

和

分别表示储电装置的充电功率上限和下限；

和

分别表示储电装置的放电功率上限和下限；

和

分别表示储电装置的存储电能的上限和下限；

和

分别表示储热装置的充热功率和放热功率；

和

分别表示储热装置的充热效率和放热效率；

表示储热装置的热能损耗率；

表示存储在储热装置的热能；

和

分别表示储热装置的充热功率上限和下限；

和

分别表示储热装置的放热功率上限和下限；

和

分别表示储热装置的存储热能的上限和下限；Δt表示调度的时间间隔。in,

and

respectively represent the charging power and discharging power of the power storage device;

and

respectively represent the charging efficiency and discharging efficiency of the power storage device;

Represents the power loss rate of the power storage device;

Represents electrical energy stored in an electrical storage device;

and

respectively represent the upper limit and lower limit of the charging power of the power storage device;

and

respectively represent the upper limit and lower limit 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 power storage device;

and

respectively represent the charging power and the exothermic power of the heat storage device;

and

respectively represent the heat charging efficiency and the heat release efficiency of the heat storage device;

Indicates the thermal energy loss rate of the thermal storage device;

represents the thermal energy stored in the thermal storage device;

and

respectively represent the upper limit and lower limit of the charging power of the heat storage device;

and

respectively represent the upper limit and lower limit of the exothermic power of the heat storage device;

and

respectively represent the upper limit and lower limit of the stored thermal energy of the heat storage device; Δt represents the scheduling time interval.

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

A soft switch is a power electronic device composed of double-terminal voltage source inverters, which can flexibly and freely control the active power exchange between the sub-electric heating networks connected through it. For the sub-electrothermal network m and the sub-electrothermal network n connected by soft switching, the power balance constraints at the connection are as follows.

表示从子电热网络m流向子电热网络n的有功功率(又称关于子电热网络m和子电热网络n之间的同级电热网络购买电能成本的第二电能数量)；

表示软开关中的有功功率损耗；

表示软开关的功率损耗系数；Mⁿ表示与子电热网络n连接的子电热网络集合。in,

Represents the active power flowing from the sub-electric heating network m to the sub-electric heating network n (also known as the second amount of electric energy about the cost of purchasing electric energy from the electric heating network at the same level between the sub-electric heating network m and the sub-electric heating network n);

represents the active power loss in soft switching;

Represents the power loss coefficient of the soft switch; ^Mn represents the set of sub-electrical heating networks connected to the sub-electrical heating network n.

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

In the present invention, by establishing the mathematical model of the interconnected integrated energy network system, a foundation can be laid for establishing the interconnected integrated energy network dispatch method based on the P2P transaction mode. In the application process, an operation model of the combined integrated energy network system can be established based on the above-mentioned mathematical model constructed.

In one embodiment, the operating model for the interconnected integrated energy network system may include the sum of the operating costs of each sub-electrical heating network. Among them, for any sub-electric heating network n, its operating cost consists of four parts:

表示运行成本，

表示上级电力网络购买电能成本(又称子电热网络n以价格

从上级电网购买电能的成本)，

表示分布式发电机组运行成本，

表示热电联产机组运行成本，

表示同级电热网络购买电能成本(又称子电热网络n在P2P交易市场中从其余子电热网络购买电能的成本)。in,

represents the running cost,

Indicates the cost of purchasing electric energy from the superior power network (also known as the price of the sub-electric heating network n).

the cost of purchasing electricity from the upper grid),

represents the operating cost of the distributed generator set,

represents the operating cost of the cogeneration unit,

Indicates the cost of purchasing electric energy from the electric heating network at the same level (also known as the cost of purchasing electric energy for the sub electric heating network n from the remaining sub electric heating networks in the P2P trading market).

In one embodiment, the cost of purchasing electric energy from the upper-level electric power network can be determined by the following formula:

表示从上级电力网络购买电能的单价，

表示关于上级电力网络购买电能成本的第一电能数量。in,

Represents the unit price of electric energy purchased from the upper-level power network,

Represents a first amount of electrical energy with respect to the cost of purchasing electrical energy from the upper-level electrical network.

In an embodiment, the operating cost of the distributed generator set can be determined by the following formula:

是一个凸二次函数，可以通过分段线性近似的方法转成分段线性函数。其中，

表示分布式发电机组输出的有功功率，

表示第一常系数，

表示第二常系数，

表示第三常系数。Understandably, the operating cost of a distributed generator set

is a convex quadratic function, which can be transformed into a piecewise linear function by piecewise linear approximation. 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.

In an embodiment, the operating cost of the cogeneration unit can be determined by the following formula:

表示天然气单价，

表示热电联产机组输入的天然气功率。in,

represents the unit price of natural gas,

Indicates the natural gas power input by the cogeneration unit.

In an embodiment, the cost of purchasing electric energy for the same-level electric heating network can be determined by the following formula:

又可以称作子电热网络n在P2P交易市场中从其余子电热网络购买电能的成本，或向其余电热网络卖出电能的收益。其中，

表示基于P2P交易模式的同级电热网络间购买电能的单价；

表示关于子电热网络m和子电热网络n之间的同级电热网络购买电能成本的第二电能数量。可以理解的是，

的值可正可负，取决于交换功率的传输方向。这一特性表明，在P2P交易市场中，部分子电热网络扮演生产者的角色，部分子电热网络则扮演消费者的角色，从而实现市场的双向交易。需要说明的是，P2P交易价格

并不是一个事先给定的已知量，其数值将在求解P2P交易均衡过程中产生。The cost of purchasing electricity from the same-level electric heating network

It can also be called the cost of purchasing electric energy from other sub-electric heating networks in the P2P trading market, or the income of selling electric energy to the remaining electric heating networks. in,

Indicates the unit price of electric energy purchased between electric heating networks of the same level based on the P2P transaction mode;

Represents the second electric energy quantity with respect to the cost of electric energy purchased by the electric heating network of the same level between the sub electric heating network m and the sub electric heating network n. Understandably,

The value of can be positive or negative, depending on the transfer direction of the exchanged power. This characteristic shows that in the P2P trading market, some sub-electric heating networks play the role of producers, and some sub-electric heating networks play the role of consumers, so as to realize 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 during the process of solving the P2P transaction equilibrium.

可以表示为：In addition, the heat pump consumes electrical energy during its operation, and its operating cost has been considered in the electrical energy production process, so it no longer needs to be calculated separately. Based on the above analysis, the total operating cost of the sub-thermal network n

It can be expressed as:

In the interconnected integrated energy network system, the goal of each sub-electric heating network main body is to maximize its own interests or minimize its own operating costs. Therefore, the operating costs of all electric and heating networks can be added to obtain the total social operating cost (corresponding to the interconnected integrated energy network system). It can be seen that minimizing the total cost of social operation (maximizing social welfare) is the goal pursued, so the following operation model of the interconnected integrated energy network system can be obtained:

Among them, N represents the set of sub-electric heating networks; T represents the set of moments.

并不是一个事先给定的已知量，只有在求解出问题(30)之后才能获得相应的市场均衡价格。这给问题的求解带来了一个悖论。二是各子电热网络都是不同的利益主体，不愿意将自身的隐私数据进行共享，因此传统的集中式求解算法无法适用。为此，如何设计出合理的分布式求解算法成为一个亟待研究的问题，其中，耦合约束(24)的存在无疑给问题的分布式求解带来了更多的阻碍。Understandably, there are two major obstacles to the solution of model (30). One is that the objective function is not a well-defined expression. This is because of the P2P transaction price

It is not a known quantity given in advance, and the corresponding market equilibrium price can be obtained only after solving the problem (30). This brings a paradox to the solution of the problem. Second, each sub-electric heating network has different stakeholders and is unwilling to share its own private data, so the traditional centralized solution algorithm cannot be applied. Therefore, how to design a reasonable distributed solution algorithm has become an urgent problem to be studied. Among them, the existence of the coupling constraint (24) undoubtedly brings more obstacles to the distributed solution of the problem.

In order to design a reasonable distributed solution algorithm, in the present invention, the operation model will be solved in a distributed manner to obtain the first amount of electric energy related to the cost of purchasing electric energy from the upper-level power network, and the output of the distributed generator set related to the operating cost of the distributed generator set. Active power, the natural gas power input by the cogeneration unit regarding the operating cost of the cogeneration unit, and the second amount of electric energy regarding the cost of electric energy purchased by the electric heating network at the same level, so that the operating cost of each sub-electric heating network and the interconnected integrated energy network system lowest operating cost.

It should be noted that the solution of the operation model of the interconnected integrated energy network system includes two key issues: one is how to design a distributed algorithm to solve the coordinated operation model (30); the other is how to design a reasonable distributed method The mechanism determines the price of P2P transactions, in order to encourage each electric heating network subject to participate in the P2P transaction market.

In order to further introduce the interconnected comprehensive energy network scheduling method based on the P2P transaction mode provided by the present invention, the process of distributed solution of the operating model will be described below.

FIG. 2 is a schematic flowchart of the distributed solution to the running model provided by the present invention.

In an exemplary embodiment of the present invention, as shown in FIG. 2 , the distributed solution to the operating model may include steps 210 to 240 , and each step will be introduced separately below.

In step 210, a target auxiliary variable is obtained, wherein the target auxiliary variable is an auxiliary variable related to the second electric energy quantity of the electric energy purchased by the electric heating network of the same level.

In step 220, based on the equality of demand and supply in the P2P transaction mode and target auxiliary variables, the cost of purchasing electric energy from the electric heating network at the same level is hidden in the operation model, and a simplified operation model is obtained.

In step 230, matrix transformation is performed on the simplified operating model to obtain a matrix model related to the simplified operating model, and an augmented Lagrangian function related to the matrix model is constructed.

In step 240, based on the augmented Lagrangian function, the operating model is solved distributedly using the alternating direction multiplier method.

According to the definition of P2P transaction cost (28), in the P2P transaction market, consumers spend money to buy electricity (corresponding to a positive P2P transaction cost), while producers obtain income by selling electricity (corresponding to a negative P2P transaction cost). Due to the equality of demand and supply, the sum of P2P transaction costs in the interconnected integrated energy network system must be zero. In an embodiment, the objective function in problem (30) can be further simplified, and the simplified running model is obtained, so that it can be written in the following form:

不再显式地出现在目标函数中，因此，目标函数也不再受到P2P交易功率和未知的P2P交易价格

的影响。It is understandable that in problem (31), the P2P transaction cost (also known as the cost of purchasing electricity from the same-level electric heating network)

is no longer explicitly present in the objective function, therefore, the objective function is also no longer subject to P2P transaction power and unknown P2P transaction price

Impact.

将问题(31)中的约束

等价转化为如下的形式：In order to build a distributed solution strategy, target auxiliary variables can be introduced

Put the constraints in problem (31)

Equivalently translates into the following form:

提供了一个可行的路径。从经济学的角度考虑，约束(33)的对偶变量代表了

改变一个单位时目标函数(总成本)对应的改变量，因此这个对偶变量可以作为子电热网络m和n进行P2P交易的价格。Among them, constraints (32) and (33) are the design P2P transaction price

provides a feasible path. From an economic point of view, the dual variable of constraint (33) represents

The amount of change corresponding to the objective function (total cost) when one unit is changed, so this dual variable can be used as the price of the P2P transaction for the sub-electric heating networks m and n.

和y_n分别表示P2P交易变量(又称简化后运行模型中约束函数的关于同级电热网络购买电能成本的第二电能数量)

目标辅助变量

和模型(31)中的剩余决策变量(又称简化后运行模型中除关于同级电热网络购买电能成本的第二电能数量之外的剩余决策变量)。可以看到，y_n和z_n是属于每个子电热网络n的局部变量，不管在目标函数还是约束中，都与其余子电热网络没有耦合关系。In an example, z _n ,

and y _n respectively represent the P2P transaction variable (also known as the second electric energy quantity about the cost of electric energy purchased by the electric heating network at the same level of the constraint function in the simplified operation model)

target auxiliary variable

and the remaining decision variables in the model (31) (also known as the remaining decision variables in the simplified operating model except for the second amount of electrical energy related to the cost of purchasing electrical energy from the electric heating network at the same level). It can be seen that y _n and z _n are local variables belonging to each sub-electrothermal network n, no matter in the objective function or constraints, there is no coupling relationship with the rest of the sub-electrothermal network.

进一步，简化后运行模型(31)进行矩阵转换，可以得到关于简化后运行模型的矩阵模型，并可以表示为如下矩阵形式：In one embodiment, the simplified operating model includes a constraint function including a second amount of electrical energy with respect to the cost of purchasing electrical energy from the same-level electrical heating network

Further, by performing matrix transformation on the simplified running model (31), a matrix model of the simplified running model can be obtained, which can be expressed as the following matrix form:

表示目标辅助变量；f_n、d_n、C_n、D_n和E_n均表示常系数。Wherein, y _n represents the remaining decision variables in the simplified operation model except for the second electric energy quantity related to the purchase cost of electric energy of the electric heating network at the same level, and z _n represents the constraint function in the simplified operation model regarding the purchase of electric energy of the same level electric heating network the second electrical energy quantity of the electrical energy cost;

represents the target auxiliary variable; f _n , d _n , C _n , D _n and _En all represent constant coefficients.

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

To construct a distributed solution algorithm for problem (34), an augmented Lagrangian function on the matrix model can be constructed. In one example, the augmented Lagrangian function can be determined using the following formula:

的对偶变量，用于表示基于P2P交易模式的同级电热网络间购买电能的单价；ρ表示惩罚项参数。Among them, λ _n represents the constraint function with respect to

The dual variable is used to represent the unit price of electric energy purchased between the same-level electric heating networks based on the P2P transaction mode; ρ represents the penalty item parameter.

In yet another embodiment, based on the augmented Lagrangian function (35), the problem (34) can be distributed distributedly solved using a two-partition alternating direction multiplier method. That is, based on the augmented Lagrangian function, the running model is solved in a distributed manner using the alternating direction multiplier method.

FIG. 3 is a schematic flowchart of the distributed solution of the running model based on the augmented Lagrangian function using the alternating direction multiplier method provided by the present invention.

The process of performing distributed solution to the operating model by using the alternating direction multiplier method for the augmented Lagrangian function will be described below with reference to FIG. 3 .

In an exemplary embodiment of the present invention, as shown in FIG. 3 , the augmented Lagrangian function and the distributed solution of the running model using the alternating direction multiplier method may include steps 310 to 350 , which will be introduced separately below. step.

以及设置迭代轮次次数k＝0，其中，收敛阈值ε＞0。In step 310, S1: determine the convergence threshold ε, and determine the unit price of electric energy purchased between the initialized P2P transaction mode-based electric heating networks at the same level

And set the number of iteration rounds k=0, where the convergence threshold ε>0.

In step 320, S2: based on the independence of each sub-electric heating network, update the remaining decision variables y _n in the simplified operating model in parallel except for the second electric energy quantity related to the cost of purchasing electric energy of the electric heating network at the same level, and simplify The second electric energy quantity z _n of the constraint function in the post-run model with respect to the cost of electric energy purchased by the electric heating network at the same level.

Among them, the updated second electric energy quantity Z _n ^k+1 and the updated remaining decision variable y _n ^k+1 satisfy the following relationship:

In one embodiment, the local variables _yn and _zn may be updated. Due to the locality of variables _yn and zn, each sub-electrothermal network can be solved independently in parallel (36) to update _yn and _zn to obtain an updated second electrical energy quantity _{znk +} ¹ and an updated residual Decision variable y _n ^k+1 .

进行更新，其中，更新后的目标辅助变量

可以满足如下关系：In step 330, S3: Share the updated second electric energy quantity z _n ^k+1 of the sub-electric heating network to other sub-electric heating networks in the interconnected integrated energy network system, and adjust the target auxiliary variable

make an update, where the updated target auxiliary variable

The following relationship can be satisfied:

以得到更新后的目标辅助变量(又称更新后的耦合变量)

在应用过程中，每个子电热网络可以将P2P交易功率量(又称第二电能数量)z_n ^k+1分享至互联综合能源网络系统中的其他子电热网络，通过求解(37)更新耦合变量

In one embodiment, coupling variables (aka target auxiliary variables) can be updated

to get the updated target auxiliary variable (also known as the updated coupling variable)

In the application process, each sub-electric heating network can share the P2P transaction power amount (also known as the second electric energy amount) z _n ^k+1 to other sub-electric heating networks in the interconnected integrated energy network system, and update the coupling variables by solving (37)

其中，更新后的同级电热网络间购买电能的单价

满足如下关系：In step 340, S4: Update the unit price of electric energy purchased between electric heating networks of the same level based on the P2P transaction mode

Among them, the unit price of electric energy purchased between the updated electric heating networks of the same level

Satisfy the following relationship:

其中，每个子电热网络可以通计算(38)更新P2P交易模式的同级电热网络间购买电能的单价。In an embodiment, the unit price of electric energy purchased between electric heating networks of the same level in the P2P transaction mode is updated

Wherein, each sub-electric heating network can update the unit price of electric energy purchased between the electric heating networks of the same level in the P2P transaction mode through calculation (38).

In step 350, S5: Convergence check is performed, if the updated unit price of electric power purchased between the electric heating networks of the same level converges, terminate the calculation and output the final result; otherwise, update and return to S2.

Among them, the unit price convergence of purchased electric energy between the updated electric heating networks of the same level can be expressed by the following formula:

The output final result can include

So far, the distributed solution of the operation model (30) of the interconnected integrated energy network system can be completed, and a reasonable mechanism to determine the price of the P2P transaction is given.

The interconnected comprehensive energy network scheduling method based on the P2P transaction mode proposed by the present invention has the advantages that: in the interconnected electric heating system, each electric heating system belongs to an independent subject and pursues the maximization of its own interests, so it is urgent to design a reasonable The mechanism maximizes the overall interests of the system while ensuring the interests of each subject. The present invention firstly establishes the mathematical model of the interconnected electric heating system, and then adopts the P2P trading mechanism to design the trading rules between the various electric heating systems, thereby encouraging each subject to participate in the P2P trading market, thereby establishing the interconnected electric heating system based on P2P trading. System coordination operation model. Finally, a distributed solution algorithm for the coordinated operation model of interconnected electric heating systems based on P2P transactions is designed based on the alternate direction multiplier method, thereby protecting the privacy data of each electric heating system. The method proposed by the invention does not require each electric heating system to share private data, and the designed method satisfies the principle of incentive compatibility. Each electric heating system pursues its own interests while maximizing the overall interests, so it has strong privacy, simple calculation and easy investment. Engineering practice, etc.

According to the above description, the interconnected integrated energy network scheduling method based on the P2P transaction mode provided by the present invention is applied to an interconnected integrated energy network system, wherein the interconnected integrated energy network system includes a plurality of sub-electric heating networks. The invention determines the transaction rules between the sub-electric heating networks through the P2P transaction mode to encourage each sub-electric heating network to participate in the P2P transaction, and establishes the operation model of the interconnected comprehensive energy network system based on the P2P transaction. Then, the operation model is solved in a distributed manner, and under the premise of protecting the privacy data of each sub-electric heating network, the first electric energy quantity of the purchase electric energy cost of the superior electric power network, the active power output by the distributed generator set, and the input value of the cogeneration set are obtained. Natural gas power, and the second amount of electric energy purchased by the electric heating network at the same level, so as to minimize the operation cost of each sub-electric heating network and the operation cost of the interconnected integrated energy network system. The interconnected comprehensive energy network scheduling method based on the P2P transaction mode proposed by the present invention does not require each sub-electric heating network to share private data, and satisfies the principle of incentive compatibility, and realizes that each sub-electric heating network pursues its own interests while maximizing the interconnection. The overall interests of the integrated energy network system are guaranteed to maximize the overall interests of the interconnected integrated energy network system on the basis of the interests of each electric heating subject.

Based on the same concept, the present invention also provides an interconnected integrated energy network dispatching device based on a P2P transaction mode.

The interconnected integrated energy network scheduling device based on the P2P transaction mode provided by the present invention will be described below. 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 refer to each other.

FIG. 4 is a schematic structural diagram of an interconnected integrated energy network dispatching device based on a P2P transaction mode provided by the present invention.

In an exemplary embodiment of the present invention, the interconnected integrated energy network scheduling apparatus based on the P2P transaction mode can be applied to an interconnected integrated energy network system, wherein the interconnected integrated energy network system may include a plurality of sub-electric heating networks. The sub-electric heating network can at least include power network, thermal network, distributed generator sets, wind turbines, cogeneration units, heat pumps, power storage devices and heat storage devices. The sub-electric heating networks can be connected through soft switches and adopt P2P transaction mode. Trading.

As shown in FIG. 4 , the interconnected integrated energy network dispatching device based on the P2P transaction mode may include a building module 410 and a processing module 420 , each of which will be introduced separately below.

The establishment module 410 may be configured to establish an operation model of the interconnected integrated energy network system based on the P2P transaction mode, wherein the operation model may include the operation cost of each sub-electric heating network, and the operation cost may include the cost of purchasing electric energy from the upper-level power network, The operating cost of distributed generating units, the operating cost of cogeneration units and the cost of purchasing electricity from the same-level electric heating network.

The processing module 420 may be configured to perform a distributed solution to the operating model to obtain a first amount of electrical energy related to the cost of purchasing electrical 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, and the related thermal power. The natural gas power input by the cogeneration unit, which is the operating cost of the cogeneration unit, and the second amount of electric energy related to the cost of purchasing electric energy from the electric heating network at the same level, so as to minimize the operating cost of each sub-electrical heating network and the operating cost of the interconnected integrated energy network system.

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-electric heating network, and the establishment module 410 may use the following formula to determine the operation cost:

表示运行成本，

表示上级电力网络购买电能成本，

表示分布式发电机组运行成本，

表示热电联产机组运行成本，

表示同级电热网络购买电能成本。in,

represents the running cost,

represents the cost of purchasing electricity from the superior power network,

represents the operating cost of the distributed generator set,

represents the operating cost of the cogeneration unit,

Indicates the cost of electric energy purchased by the electric heating network at the same level.

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 electric power network:

表示从上级电力网络购买电能的单价，

表示关于上级电力网络购买电能成本的第一电能数量，电力网络具有如下模型：in,

Represents the unit price of electric energy purchased from the upper-level power network,

Represents the first amount of electric energy about the cost of purchasing electric energy from the upper-level electric power network, and the electric power network has the following model:

V _j,t =V _i,t -(r _ij P _ij,t +x _ij Q _ij,t )/V ₀ (3)

关于同级电热网络购买电能成本的第二电能数量

分布式发电机组的有功出力

热电联产机组的有功出力

风电机组的有功出力

储电装置的充电功率

和放电功率

表示电力网络中节点j处的总有功负荷，包括基础电负荷和所述热泵消耗的有功功率

q_j,t表示电力网络中节点j处注入的总无功功率，包括来自上级电力网络的无功功率

和分布式发电机组的无功出力

表示电力网络中节点j处的无功负荷；P_ij,t和Q_ij,t分别表示电力网络中节点i到节点j的线路有功功率和无功功率；r_ij和x_ij分别表示电力网络中节点i到节点j的线路电阻和线路电抗；V_i,t表示电力网络中节点i的电压幅值；V₀表示基准电压；

表示节点j的下游节点集合。Among them, p _{j, t} represents the total active power injected at node j in the power network, including the first amount of electrical energy about the cost of purchasing electrical energy from the upper-level power network

The second amount of electric energy about the cost of electric energy purchased by the electric heating network at the same level

Active Power Output of Distributed Generating Sets

Active power output of cogeneration units

Active output of wind turbines

The charging power of the storage device

and discharge power

represents the total active load at node j in the power network, including the base electrical 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-level power network

and reactive power output of distributed generator sets

Represents the reactive load at node j in the power network; P _ij,t and Q _ij,t represent the active power and reactive power of the line from node i to node j in the power network, respectively; r _ij and x _ij represent the power network. Line resistance and line reactance from node i to node j; V _i,t represents the voltage amplitude of node i in the power network; V ₀ represents the reference voltage;

Represents the set of downstream nodes of node j.

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:

表示分布式发电机组输出的有功功率，

表示第一常系数，

表示第二常系数，

表示第三常系数，其中，分布式发电机组具有如下模型：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 distributed generator set has the following model:

表示分布式发电机组输出的无功功率；

和

分别表示分布式发电机组的有功功率的上限和下限；

和

分别表示分布式发电机组的无功功率的上限和下限。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

Represent the upper and lower limits of the reactive power of the distributed generator set, respectively.

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

表示天然气单价，

表示热电联产机组输入的天然气功率，其中，热电联产机组具有如下模型：in,

represents the unit price of natural gas,

Represents the natural gas power input by the cogeneration unit, where the cogeneration unit has the following model:

和

分别表示热电联产机组输出的电功率和热功率；

和

分别表示热电联产机组的气转电效率和气转热效率；

和

分别表示热电联产机组输入天然气功率的上限和下限。in,

and

Respectively represent the electrical power and thermal power output by the cogeneration unit;

and

respectively represent the gas-to-electricity and gas-to-heat efficiency of the cogeneration unit;

and

represent the upper and lower limits of the input natural gas power of the cogeneration unit, respectively.

In an exemplary embodiment of the present invention, the establishment module 410 can use the following formula to determine the cost of purchasing electric energy from the electric heating network at the same level:

表示基于P2P交易模式的同级电热网络间购买电能的单价，

表示关于子电热网络m和子电热网络n之间的同级电热网络购买电能成本的第二电能数量，其中，连接子电热网络m和子电热网络n的所述软开关具有如下模型：in,

Indicates the unit price of electric energy purchased between electric heating networks of the same level based on the P2P transaction mode,

Represents the second electric energy quantity with respect to the cost of electric energy purchased by the electric heating network at the same level 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:

表示软开关中的有功功率损耗；

表示软开关的功率损耗系数；Mⁿ表示与子电热网络n连接的子电热网络集合。in,

represents the active power loss in soft switching;

Represents the power loss coefficient of the soft switch; ^Mn represents the set of sub-electrical heating networks connected to the sub-electrical heating network n.

In an exemplary embodiment of the present invention, the processing module 420 may perform a distributed solution to the operating model in the following manner:

Obtain the target auxiliary variable, where the target auxiliary variable is the auxiliary variable of the second electric energy quantity related to the cost of purchasing electric energy of the same-level electric heating network; based on the equality of demand and supply in the P2P transaction mode and the target auxiliary variable, it is hidden in the operation model The cost of electric energy purchased by the same-level electric heating network is obtained, and the simplified operation model is obtained; the matrix transformation of the simplified operation model is performed to obtain the matrix model of the simplified operation model, and the augmented Lagrangian function of the matrix model is constructed; based on Augmented Lagrangian function, distributed solution of running model using alternating direction multiplier method.

In an exemplary embodiment of the present invention, the simplified operation model may include a constraint function, and the constraint function may include a second amount of electric energy related to the cost of electric energy purchased by the electric heating network at the same level. The matrix model of :

表示目标辅助变量；f_n、d_n、C_n、D_n和E_n均表示常系数。Among them, y _n represents the remaining decision variables in the simplified operation model except for the second electric energy quantity _related to the purchase cost of the electric heating network at the same level; the second electrical energy quantity of the electrical energy cost;

represents the target auxiliary variable; f _n , d _n , C _n , D _n and _En all represent constant coefficients.

In an exemplary embodiment of the present invention, the processing module 420 may use the following formula to determine the augmented Lagrangian function:

的对偶变量，用于表示基于P2P交易模式的同级电热网络间购买电能的单价；ρ表示惩罚项参数。Among them, λ _n represents the constraint function with respect to

The dual variable is used to represent the unit price of electric energy purchased between the same-level electric heating network based on the P2P transaction mode; ρ represents the penalty item parameter.

In an exemplary embodiment of the present invention, the processing module 420 may use the alternate direction multiplier method to perform a distributed solution to the running model based on the augmented Lagrangian function in the following manner:

以及设置迭代轮次次数k＝0，其中，收敛阈值ε＞0；S1: Determine the convergence threshold ε, and determine the unit price of electric energy purchased between the same-level electric heating networks based on the initialized P2P transaction mode

and setting the number of iteration rounds k=0, where the convergence threshold ε>0;

S2: Based on the independence of each sub-electric heating network, update the remaining decision variables _yn in the simplified operation model in parallel except for the second electric energy quantity related to the cost of electric energy purchased by the electric heating network at the same level, and the constraint function in the simplified operation model. The second electric energy quantity z _n about the electric energy purchased by the electric heating network of the same level, wherein,

分享至互联综合能源网络系统中的其他子电热网络，并对目标辅助变量

进行更新，其中，S3: the updated second electric energy quantity of the sub-electric heating network

Share to other sub-electric heating networks in the interconnected integrated energy network system, and adjust the target auxiliary variables

to update where,

其中，S4: Update the unit price of electric energy purchased between electric heating networks of the same level based on the P2P transaction mode

in,

则终止计算并输出最终的结果

否则，更新k←k+1并返回S2。S5: Convergence test is performed, if

then terminate the calculation and output the final result

Otherwise, update k←k+1 and return to S2.

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

表示热源注入所述热力网络的总热功率，包括热电联产机组的热出力

热泵的热出力

储热装置的充热功率

和储热装置的放热功率

表示热负荷的热消耗功率；c_p表示水的比热容；

表示热源处从回水管道注入供水管道的循环水质量流量；

表示热负荷处从供水管道注入回水管道的循环水质量流量；

和

分别表示供水温度和回水温度；m_b,t表示管道b的循环水质量流量；

和

分别表示管道b的入口温度和出口温度；γ_b表示管道b的温度损耗系数；L_b表示管道b的长度；

表示环境温度；

表示汇合节点处的流体混合温度；

表示以节点i为末端的管道集合；

表示以节点i为首端的管道集合。Among them, b represents the pipeline of the thermal network;

Indicates the total thermal power injected by the heat source into the thermal network, including the thermal output of the cogeneration unit

heat output of heat pump

The charging power of the heat storage device

and the exothermic power of the heat storage device

Represents the heat consumption power of the heat load; c _p represents the specific heat capacity of water;

Represents the mass flow of circulating water injected from the return pipe into the water supply pipe at the heat source;

Represents the mass flow of circulating water injected from the water supply pipeline into the return pipeline at the heat load;

and

respectively represent the water supply temperature and return water temperature; m _{b, t} represent the mass flow of circulating water in pipeline 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 a collection of pipes ending with node i;

Represents a collection of pipes starting with node i.

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

和

分别表示热泵消耗的电功率和输出的热功率；COP_i表示热泵的能效系数；

和

分别表示热泵输出热功率的上限和下限。in,

and

Represents the electrical power consumed by the heat pump and the output thermal power; COP _i represents the energy efficiency coefficient of the heat pump;

and

represent the upper and lower limits of the heat pump output heat power, respectively.

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

和

分别表示储热装置的充热功率和放热功率；

和

分别表示储热装置的充热效率和放热效率；

表示储热装置的热能损耗率；

表示存储在储热装置的热能；

和

分别表示储热装置的充热功率上限和下限；

和

分别表示储热装置的放热功率上限和下限；

和

分别表示储热装置的存储热能的上限和下限；Δt表示调度的时间间隔。in,

and

respectively represent the charging power and the exothermic power of the heat storage device;

and

respectively represent the heat charging efficiency and the heat release efficiency of the heat storage device;

Indicates the thermal energy loss rate of the thermal storage device;

represents the thermal energy stored in the thermal storage device;

and

respectively represent the upper limit and lower limit of the charging power of the heat storage device;

and

respectively represent the upper limit and lower limit of the exothermic power of the heat storage device;

and

respectively represent the upper limit and lower limit of the stored thermal energy of the heat storage device; Δt represents the scheduling time interval.

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

和

分别表示储电装置的充电功率和放电功率；

和

分别表示储电装置的充电效率和放电效率；

表示储电装置的电能损耗率；

表示存储在储电装置的电能；

和

分别表示储电装置的充电功率上限和下限；

和

分别表示储电装置的放电功率上限和下限；

和

分别表示储电装置的存储电能的上限和下限；Δt表示调度的时间间隔。in,

and

respectively represent the charging power and discharging power of the power storage device;

and

respectively represent the charging efficiency and discharging efficiency of the power storage device;

Represents the power loss rate of the power storage device;

Represents electrical energy stored in an electrical storage device;

and

respectively represent the upper limit and lower limit of the charging power of the power storage device;

and

respectively represent the upper limit and lower limit 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 power storage device; Δt represents the scheduling time interval.

FIG. 5 illustrates a schematic diagram of the physical structure of an electronic device. As shown in FIG. 5 , the electronic device may include: a processor (processor) 510, a communication interface (Communications Interface) 520, a memory (memory) 530 and a communication bus 540, 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, and the method is applied to the interconnected integrated energy network system, wherein the interconnected integrated energy network system includes a plurality of sub-electric heating networks, The sub-electric heating network includes at least electric power network, thermal network, distributed generating units, wind turbines, cogeneration units, heat pumps, power storage devices and heat storage devices. The sub-electric heating networks are connected through soft switches and trade in a P2P transaction mode. , the method includes: based on the P2P transaction mode, establishing an operation model about the interconnected integrated energy network system, wherein the operation model includes the operation cost of each sub-electric heating network, and the operation cost includes the cost of purchasing electric energy from the upper-level power network, the operation of the distributed generator set Cost, operating cost of cogeneration unit, and cost of purchasing electricity from the same-level electric heating network; distributed solution to the operating model to obtain the first amount of electricity about the cost of purchasing electricity from the upper-level power network, and the distributed generation about the operating cost of distributed generating units. The active power output by the unit, the natural gas power input by the cogeneration unit regarding the operating cost of the cogeneration unit, and the second amount of electric energy regarding the cost of electric energy purchased by the electric heating network at the same level, so that the operating cost and interconnection of each sub-electric heating network can be integrated. The energy grid system has the lowest operating cost.

In addition, the above-mentioned logic instructions in the memory 530 can be implemented in the form of software functional units 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 can be embodied in the form of a software product in essence, or the part that contributes to the prior art or the part of the technical solution. The computer software product is stored in a storage medium, including Several instructions are used to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, Read-Only Memory (ROM, Read-Only Memory), Random Access Memory (RAM, Random Access Memory), magnetic disk or optical disk and other media that can store program codes .

In another aspect, the present invention also provides a computer program product, the computer program product includes a computer program, the computer program can be stored on a non-transitory computer-readable storage medium, and when the computer program is executed by a processor, the computer can Execute the interconnected integrated energy network scheduling method based on the P2P transaction mode provided by the above methods, and the method is applied to an interconnected integrated energy network system, wherein the interconnected integrated energy network system includes a plurality of sub-electrical heating networks, and the sub-electrical heating network includes at least a power network , thermal network, distributed generator sets, wind turbines, cogeneration units, heat pumps, power storage devices and heat storage devices, the sub-electric heating networks are connected through soft switches and trade in a P2P transaction mode, the method includes: based on In the P2P transaction mode, an operation model of the interconnected integrated energy network system is established. The operation model includes the operation cost of each sub-electrical heating network, and the operation cost includes the cost of purchasing electricity from the upper-level power network, the operation cost of distributed generators, and the operation of cogeneration units. cost and the cost of electric energy purchased by the electric heating network at the same level; the operation model is solved in a distributed manner to obtain the first amount of electric energy related to the cost of electric energy purchased by the superior power network, the active power output by the distributed generator set related to the operating cost of the distributed generator set, and the related The natural gas power input by the cogeneration unit, which is the operating cost of the cogeneration unit, and the second amount of electric energy related to the cost of electric energy purchased by the electric heating network at the same level, so as to minimize the operating cost of each sub-electrical heating network and the operating cost of the interconnected integrated energy network system .

In yet another aspect, the present invention also provides a non-transitory computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, it is implemented to execute the interconnected integrated energy based on the P2P transaction mode provided by the above methods A network scheduling method, the method is applied to an interconnected integrated energy network system, wherein the interconnected integrated energy network system includes a plurality of sub-electric heating networks, and the sub-electric heating networks at least include an electric power network, a thermal network, a distributed generator set, a wind turbine, and a combined heat and power generation. A unit, a heat pump, a power storage device and a heat storage device, the sub-electric heating networks are connected through soft switches and trade in a P2P transaction mode, the method includes: establishing an operation model for an interconnected integrated energy network system based on the P2P transaction mode, Among them, the operating model includes the operating cost of each sub-electric heating network, and the operating cost includes the cost of purchasing electric energy from the upper-level power network, the operating cost of distributed generator sets, the operating cost of cogeneration units, and the cost of purchasing electric energy from the same-level electric heating network; the operating model is distributed. The first electric energy quantity related to the cost of purchasing electric energy from the upper power network, the active power output by the distributed generator set related to the operating cost of the distributed generator set, and the natural gas power input by the cogeneration set related to the operating cost of the cogeneration set , and the second amount of electric energy related to the cost of electric energy purchased by the electric heating network at the same level, so as to minimize the operating cost of each sub-electric heating network and the operating cost of the interconnected integrated energy network system.

The device embodiments described above are only illustrative, wherein the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in One place, or it can be distributed over multiple network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution in this embodiment. Those of ordinary skill in the art can understand and implement it without creative effort.

From 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, and certainly can also be implemented by hardware. Based on this understanding, the above-mentioned technical solutions can be embodied in the form of software products in essence or the parts that make contributions to the prior art, and the computer software products can be stored in computer-readable storage media, such as ROM/RAM, magnetic A disc, an optical disc, etc., includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform the methods described in various embodiments or some parts of the embodiments.

It is further to be understood that, although the operations in the embodiments of the present disclosure are described in a specific order in the drawings, it should not be construed as requiring that the operations be performed in the specific order shown or the serial order, or requiring Perform all operations shown to obtain the desired result. In certain circumstances, multitasking and parallel processing may be advantageous.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, but not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that it can still be The technical solutions described in the foregoing embodiments are modified, or some technical features thereof are equivalently replaced; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims (18)

1. An interconnected integrated energy network scheduling method based on a P2P transaction mode, wherein the method is applied to an interconnected integrated energy network system, wherein the interconnected integrated energy network system includes a plurality of sub-electric heating networks, and the sub-electric heating The network includes at least a power network, a thermal network, a distributed generator set, a wind turbine, a combined heat and power unit, a heat pump, an electricity storage device and a heat storage device, and the sub-electric heating networks are connected through soft switches and trade in a P2P transaction mode , the method includes: Based on the P2P transaction mode, 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 heating networks, and the operation cost includes the cost of purchasing electric energy from the upper-level electric network, distribution The operating cost of the generator set, the operating cost of the cogeneration unit and the cost of purchasing electricity from the electric heating network at the same level; Perform a distributed solution on the operating model to obtain a first amount of electrical energy related to the cost of purchasing electrical energy from the upper-level power network, active power output from the distributed generator set related to the operating cost of the distributed generator set, and information related to the combined heat and power. The natural gas power input by the cogeneration unit, which is the operating cost of the cogeneration unit, and the second amount of electric energy related to the cost of electric energy purchased by the electric heating network at the same level, so that the operating cost of each of the sub-electric heating networks and the interconnected integrated energy network system lowest operating cost. 2 . The interconnected integrated energy network scheduling method based on P2P transaction mode according to claim 1 , wherein the operation model about the interconnected integrated energy network system includes the sum of the operation costs of each of the sub-electric heating networks. 3 . , the operating cost is determined by the following formula:

Wherein, f _t ⁿ represents the operating cost, f _1,t ⁿ represents the power purchase cost of the upper power network, f _2,t ⁿ represents the operating cost of the distributed generator set, and f _3,t ⁿ represents the thermal power The operating cost of the co-generation unit, f _4,t ⁿ represents the cost of purchasing electricity from the electric heating network at the same level. 3. The interconnected comprehensive energy network scheduling method based on P2P transaction mode according to claim 2, wherein the cost of purchasing electric energy from the upper-level electric power network is determined by the following formula:

in,

Represents the unit price of electric energy purchased from the upper-level power network,

Represents the first amount of electrical energy with respect to the cost of purchasing electrical energy from the upper-level electrical network, the electrical network having the following model:

V _j,t =V _i,t -(r _ij P _ij,t +x _ij Q _ij,t )/V ₀ Wherein, p _j,t represents the total active power injected at node j in the power network, including the first amount of electrical energy related to the cost of electrical energy purchased by the upper-level power network

The second amount of electric energy about the cost of electric energy purchased by the electric heating network at the same level

Active power output of the distributed generator set

Active power output of the cogeneration unit

Active power output of the wind turbine

the charging power p _j,t ^c and the discharging power p _j,t ^d of the power storage device;

represents the total active load at node j in the power network, including the base electrical 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-level power network

and the reactive power 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 represents 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; V ₀ represents the reference voltage;

Represents the set of downstream nodes of node j. 4. The interconnected comprehensive energy network scheduling method based on the P2P transaction mode according to claim 2, 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, wherein 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

respectively represent the upper limit and lower limit of the reactive power of the distributed generator set. 5. The interconnected comprehensive energy network scheduling method based on P2P transaction mode according to claim 2, wherein the operation 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, wherein the cogeneration unit has the following model:

in,

and

respectively represent the electrical power and thermal power output by the cogeneration unit;

and

respectively represent the gas-to-electricity conversion efficiency and gas-to-heat conversion efficiency of the cogeneration unit;

and

respectively represent the upper limit and lower limit of the input natural gas power of the cogeneration unit. 6. The interconnected comprehensive energy network scheduling method based on P2P transaction mode according to claim 2, wherein the electricity purchase cost of the electric heating network at the same level is determined by the following formula:

in,

Indicates the unit price of electric energy purchased between electric heating networks of the same level based on the P2P transaction mode;

Represents the second electric energy quantity with respect to the cost of electric energy purchased by the electric heating network at the same level 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:

in,

represents the active power loss in the soft switching;

represents the power loss coefficient of the soft switch; ^Mn represents the set of sub-electrical heating networks connected to the sub-electrical heating network n. 7. The interconnected comprehensive energy network scheduling method based on P2P transaction mode according to claim 2, wherein the distributed solution to the operating model comprises: acquiring a target auxiliary variable, wherein the target auxiliary variable is an auxiliary variable related to the second electric energy quantity of the electric energy purchased by the electric heating network of the same level; Based on the equality of demand and supply in the P2P transaction mode and the target auxiliary variable, the electricity purchase cost of the electric heating network at the same level is hidden in the operation model, and a simplified operation model is obtained; performing matrix transformation on the simplified running model to obtain a matrix model about the simplified running model, and constructing an augmented Lagrangian function about the matrix model; Based on the augmented Lagrangian function, the operating model is distributedly solved using an alternating direction multiplier method. 8 . The interconnected integrated energy network scheduling method based on the P2P transaction mode according to claim 7 , wherein the simplified operation model includes a constraint function, and the constraint function includes the cost of purchasing electric energy for the electric heating network at the same level. 9 . The second amount of electrical energy, the matrix model about the simplified operating model has the following model:

stC _n y _n +D _n z _n ≤f _n ,

Wherein, y _n represents the remaining decision variables in the simplified operation model except for the second electric energy quantity related to the electric energy purchased by the electric heating network of the same level; z _n represents the constraints in the simplified operation model a second amount of electric energy as a function of the cost of electric energy purchased by the electric heating network at the same level;

represents the target auxiliary variable; f _n , d _n , C _n , D _n and _En all represent constant coefficients. 9. The interconnected integrated energy network scheduling method based on P2P transaction mode according to claim 8, wherein the augmented Lagrangian function is determined by the following formula:

Among them, λ _n represents the constraint function with respect to

The dual variable is used to represent the unit price of electric energy purchased between the same-level electric heating networks based on the P2P transaction mode; ρ represents the penalty item parameter. 10 . The interconnected integrated energy network scheduling method based on P2P transaction mode according to claim 9 , wherein, based on the augmented Lagrangian function, the operation model is performed using an alternating direction multiplier method. 11 . Distributed solving, including: S1: Determine the convergence threshold ε, and determine the unit price of electric energy purchased between the same-level electric heating networks based on the initialized P2P transaction mode

and setting the number of iteration rounds k=0, where the convergence threshold ε>0; S2: Based on the independence of each of the sub-electric heating networks, update the remaining decision variables _yn in the simplified operating model in parallel except for the second amount of electric energy related to the cost of electric energy purchased by the electric heating network at the same level, and The second electric energy quantity z _n of the constraint function in the simplified operation model with respect to the electric energy purchased by the electric heating network of the same level, wherein,

stC _n y _n +D _n z _n ≤f _n S3: Share the updated second electric energy quantity z _n ^k+1 of the sub-electric heating network to other sub-electric heating networks in the interconnected integrated energy network system, and adjust the target auxiliary variable

to update where,

S4: Update the unit price λ _n ^k of electric energy purchased between the same-level electric heating networks based on the P2P transaction mode, wherein,

S5: Convergence test is performed, if

then terminate the calculation and output the final result

Otherwise, update k←k+1 and return to S2. 11. The interconnected comprehensive energy network scheduling method based on P2P transaction mode according to claim 1, wherein the thermal network has the following model:

Wherein, b represents the pipeline of the thermal network;

Indicates the total thermal power injected by the heat source into the thermal network, including the thermal output of the cogeneration unit

The heat output of the heat pump

the charging power h _i,t ^c of the heat storage device and the heat releasing power h _i,t ^d of the heat storage device;

Represents the heat consumption power of the heat load; c _p represents the specific heat capacity of water;

Represents the mass flow of circulating water injected from the return pipe into the water supply pipe at the heat source;

Represents the mass flow of circulating water injected from the water supply pipeline into the return pipeline at the heat load;

and

respectively represent the water supply temperature and return water temperature; m _{b, t} represent the mass flow of circulating water in pipeline 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; T _t ^a represents the ambient temperature;

represents the fluid mixing temperature at the confluence node;

Represents a collection of pipes ending with node i;

Represents a collection of pipes starting with node i. 12. The interconnected comprehensive energy network scheduling method based on P2P transaction mode according to claim 1, wherein the heat pump has the following model:

in,

and

respectively represent the electrical power consumed by the heat pump and the output thermal power; COP _i represents the energy efficiency coefficient of the heat pump;

and h _i ^HP represent the upper and lower limits of the heat pump output thermal power, respectively. 13. The interconnected comprehensive energy network scheduling method based on P2P transaction mode according to claim 1, wherein the heat storage device has the following model:

in,

and

respectively represent the charging power and the exothermic power of the heat storage device;

and

respectively represent the heat charging efficiency and the heat release efficiency of the heat storage device;

represents the thermal energy loss rate of the thermal storage device;

represents the thermal energy stored in said thermal storage device;

and

respectively represent the upper limit and lower limit of the charging power of the heat storage device;

and h _id ^respectively represent the upper limit and lower limit of the heat release power of the heat storage device;

and W _i ^T represent the upper and lower limits of the thermal energy storage of the thermal storage device, respectively; Δt represents the scheduling time interval. 14. The interconnected comprehensive energy network scheduling method based on P2P transaction mode according to claim 1, wherein the power storage device has the following model:

in,

and

respectively represent the charging power and the discharging power of the power storage device;

and

respectively represent the charging efficiency and the discharging efficiency of the power storage device;

represents the power loss rate of the power storage device;

represents the electrical energy stored in the electrical storage device;

and

respectively represent the upper limit and lower limit of the charging power of the power storage device;

and

respectively represent the upper limit and lower limit of the discharge power of the power storage device;

and W _i ^E represent the upper limit and lower limit of the stored electrical energy of the power storage device, respectively; Δt represents the scheduling time interval. 15. An interconnected integrated energy network scheduling device based on a P2P transaction mode, characterized in that the device is applied to an interconnected integrated energy network system, wherein the interconnected integrated energy network system includes a plurality of sub-electric heating networks, and the sub-electric heating The network includes at least a power network, a thermal network, a distributed generator set, a wind turbine, a combined heat and power unit, a heat pump, an electricity storage device and a heat storage device, and the sub-electric heating networks are connected through soft switches and trade in a P2P transaction mode , the device includes: A establishing 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 cost of each of the sub-electric heating networks, and the operation cost includes the upper-level power network The cost of purchasing electric energy, the operating cost of distributed generating units, the operating cost of cogeneration units, and the cost of purchasing electric energy from the same-level electric heating network; a processing module, configured to perform a distributed solution to the operating model to obtain a first quantity of electrical energy related to the cost of purchasing electrical energy from the upper-level power network, active power output by the distributed generator set related to the operating cost of the distributed generator set, The natural gas power input by the cogeneration unit regarding the operating cost of the cogeneration unit, and the second amount of electric energy regarding the cost of purchasing electric energy for the electric heating network at the same level, so that the operating cost of each of the sub-electrical heating networks and the An interconnected integrated energy network system has the lowest operating cost. 16. An electronic device comprising a memory, a processor and a computer program stored on the memory and running on the processor, wherein the processor implements the program as claimed in claim 1 when the processor executes the program The interconnected integrated energy network scheduling method based on the P2P transaction mode described in any one of to 14. 17. A non-transitory computer-readable storage medium on which a computer program is stored, characterized in that, when the computer program is executed by a processor, the P2P-based transaction mode according to any one of claims 1 to 14 is implemented The interconnected integrated energy network scheduling method. 18. A computer program product, comprising a computer program, characterized in that, when the computer program is executed by a processor, the interconnected integrated energy network scheduling method based on a P2P transaction mode according to any one of claims 1 to 14 is implemented.

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