CN111555280B - Post-disaster recovery control method of flexible distribution network based on electric-gas integrated energy system - Google Patents

Abstract

The invention discloses an electric-gas comprehensive energy system-based elastic power distribution network post-disaster recovery control method, which comprises the following steps of: carrying out power flow modeling on the network according to the fault; the method comprises the steps that with the aim of minimizing the cost of all recovery loss load post-disaster recovery strategies, an optimal coordination scheme is obtained for three post-disaster recovery measure models, namely a network reconstruction model, a diesel generator model and a gas turbine model; and judging whether the formed micro-grid meets the reliable operation condition, if not, moving the MESS according to the optimal path scheme until the formed micro-grid meets the reliable operation condition. The elastic power distribution network after-disaster recovery control operation method based on the electricity-gas comprehensive energy improves the elasticity of the power distribution network by three optimization strategies of network reconstruction, energy supply of a diesel generator or a MESS and energy supply of a natural gas network through a gas turbine and taking the lowest cost of the after-disaster recovery strategy as an optimization target, and guarantees quick and effective maximum recovery of power supply load by taking rescue load as a load constraint condition.

Description

Post-disaster recovery control method of flexible distribution network based on electric-gas integrated energy system

technical field

The present disclosure belongs to the technical field of elastic distribution network system optimization, and in particular relates to a post-disaster recovery control method for an elastic distribution network based on an electric-gas integrated energy system.

Background technique

The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art.

In recent years, with the increase in global temperature and increasing environmental pollution, extreme weather has occurred frequently. According to statistics, an average of 9.09 typhoons are registered every year in my country. Extreme events such as typhoons, earthquakes, and snowstorms will not only cause economic losses, but also threaten people's lives and hinder social and economic development. The utilization of electric energy has penetrated into all aspects of life. If we want to reduce economic losses, speed up post-disaster reconstruction, and quickly restore normal living conditions, continuous and uninterrupted electric energy is essential. The distribution network, as the basis for providing electric energy, an important energy source, must undertake the task of continuing to supply power without being seriously affected by disasters for post-disaster reconstruction. Therefore, how to make the post-disaster recovery of the distribution network fast, efficient and economical is an urgent topic to be carried out at present.

At present, there are many research ideas for post-disaster recovery of distribution network in integrated energy systems, and the models and methods used are different. In terms of modeling methods, there are two commonly used methods, one is a simplified mathematical model based on the physical description of power grids and natural gas networks, and the other is a modeling method based on energy hubs. In terms of problem construction, one type of research selects typical fault scenarios for calculation, and the other type of research uses random fault scenarios, uncertain fault disconnection sets, and decision variable optimization to comprehensively consider fault scenarios. Only for distribution network. In terms of optimization objectives, most of the researches focus on rescuing the system with the largest loss of load, and less consideration is given to the economics of post-disaster recovery of distribution networks. In terms of research content, most of the studies only use one or two measures to optimize together to restore power supply without load. Few studies provide an optimal combination of multiple restoration measures while ensuring safety and economy through multiple optimization measures. In terms of optimization methods, one type of research uses multi-layer iterative algorithms such as Column-and-Constraint Generationalgorithm (C&CG) algorithm or Benders algorithm, the other type of research uses the method of modeling solver, and there are a few The ant colony algorithm and other intelligent algorithms used in the research, the iterative algorithm generally has the problem of complicated modeling and difficult to converge, and the intelligent algorithm has the disadvantage that it is easy to fall into the local optimal solution.

SUMMARY OF THE INVENTION

In order to overcome the above-mentioned deficiencies of the prior art, the present disclosure provides a post-disaster recovery control method for a flexible distribution network based on an electric-gas integrated energy system. measures to optimize.

To achieve the above purpose, one or more embodiments of the present disclosure provide the following technical solutions:

The post-disaster recovery control method of flexible distribution network based on electric-gas integrated energy system includes:

Modeling the power flow of the network according to the fault location;

Aiming at the lowest cost of restoring all the lost loads, the optimal coordination scheme is obtained based on three post-disaster recovery measures models of network reconfiguration, diesel generators and gas turbines;

It is judged whether the formed microgrid satisfies the reliability operation conditions. If not, the MESS is moved with the optimal path scheme until the formed microgrid meets the reliability operation conditions.

One or more of the above technical solutions have the following beneficial effects:

(1) The present disclosure is a post-disaster recovery control operation method for a flexible distribution network based on electric-gas integrated energy. There are three optimization strategies through network reconfiguration, diesel generators or MESS and natural gas network through the energy support of gas turbines. The lowest is the optimization goal, which improves the flexibility of the distribution network, and the load constraint condition is to save the lost load, which ensures the rapid and effective restoration of the maximum power supply load.

(2) The optimal coordination scheme of three post-disaster recovery measures is given to guide the distribution network to minimize the post-disaster recovery cost of the distribution network while ensuring all the power supply loads are restored, and to ensure the safety and reliability of the distribution network’s post-disaster recovery operation. sex, economy.

(3) Through the movement of MESS, it is ensured that the microgrid after network reconstruction can meet the requirements of safe and reliable operation for a long time.

(4) The optimal moving path of the MESS is optimized by grid division of the distribution network, which ensures the optimal moving cost and moving time of the MESS.

Description of drawings

The accompanying drawings that constitute a part of the present disclosure are used to provide further understanding of the present disclosure, and the exemplary embodiments of the present disclosure and their descriptions are used to explain the present disclosure and do not constitute an improper limitation of the present disclosure.

1 is a detailed flowchart of the post-disaster recovery strategy provided in Embodiment 1 of the present disclosure;

FIG. 2 is a distributed computing framework diagram provided in Embodiment 1 of the present disclosure.

Detailed ways

It should be noted that the following detailed description is exemplary and intended to provide further explanation of the present disclosure. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs.

It should be noted that the terminology used herein is for the purpose of describing specific embodiments only, and is not intended to limit the exemplary embodiments according to the present disclosure. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural as well, furthermore, it is to be understood that when the terms "comprising" and/or "including" are used in this specification, it indicates that There are features, steps, operations, devices, components and/or combinations thereof.

The embodiments of this disclosure and features of the embodiments may be combined with each other without conflict.

In order to reduce the cost of recovery measures for the post-disaster recovery of the distribution network, ensure that most of the power supply is restored after the distribution network, and at the same time improve the economics of the post-disaster recovery of the distribution network. The present disclosure proposes a post-disaster recovery control system and method for a flexible distribution network based on an electric-gas integrated energy system. The proposed invention can improve the economy of the distribution network and ensure the safety, reliability and economy of the operation of the distribution network after the disaster, while satisfying the fast and reliable power supply recovery of the distribution network after the disaster.

The method of improving the elasticity of the distribution network is divided into four stages as shown in Figure 1 according to the order of time, elastic planning, preventive response, emergency response and post-disaster recovery. Elastic planning is mainly to improve the ability of the distribution network to resist disasters by allocating resources and planning network lines in the normal operation phase; preventive response is mainly aimed at taking certain measures to the distribution network before the disaster is predicted to improve the ability of the distribution network to resist disasters; The emergency response is mainly aimed at how to readjust the system operation to restore the normal operation of the distribution network within a short time after the disaster occurs; the post-disaster recovery is mainly the last stage of the improvement of the flexibility of the distribution network. Economics of post-disaster recovery of distribution networks, means of optimizing resilience improvement measures. The elasticity improvement method of the power distribution network is mainly the fourth stage shown in FIG. 1 - post-disaster recovery.

Example 1

This embodiment discloses a post-disaster recovery control method for an elastic distribution network based on an electric-gas integrated energy system. The specific implementation process is shown in Figure 2. After the emergency response of the elastic distribution network after a fault occurs, the elastic distribution can be guaranteed. On the basis of restoring power supply to most of the loads in the network, firstly, the power flow modeling is carried out according to the existing state of the distribution network, and secondly, the optimization goal is to minimize the cost of the post-disaster recovery strategy. The optimal recovery strategy is optimized and adjusted, and the model is solved by minimizing the cost as the objective function. Finally, it is judged whether the formed microgrid meets the conditions for reliable operation. If the operating conditions are met, the optimal post-disaster recovery strategy is output; MESS.

In this embodiment, the post-disaster recovery control method of the flexible distribution network based on the electric-gas integrated energy system refers to Fig. 2, specifically, firstly, the network is modeled according to the fault location; secondly, on the basis of ensuring the power supply recovery of most loads, By establishing three models of post-disaster recovery measures, including network reconfiguration, gas turbine and diesel generator, or calling MESS, the optimization goal is to minimize the cost of post-disaster recovery measures, considering the constraints of distribution network network reconstruction, natural gas network constraints, energy conversion equipment constraints, System installation component constraints, restoration load constraints, etc., the post-disaster recovery strategy combination of three optimization measures is given; finally, the results of the scheme are judged whether the formed microgrid meets the conditions of reliable operation, and the shortest path model is established according to the distribution network path model. The moving time is the optimization target to move the MESS, and the scheme optimization is carried out again until the microgrid topology structure of the network reconstruction meets the conditions for safe operation, and the optimization ends. The optimization problem in this problem is solved using the Gurobi solver.

Among them, in the optimal coordination scheme given the optimal multiple measures, all the power supply loads are restored as constraints, and network reconstruction is carried out through the installation site of the gas turbine and the photovoltaic installation site in the distribution network to ensure the power supply to the load. The missing part is moved or supplied by diesel generators through MESS to ensure that all loads are restored to power supply. On this basis, the optimal economical post-disaster recovery strategy is given with the lowest cost of various recovery measures as the optimization goal.

Verify whether the formed microgrid can meet the conditions of normal, safe and reliable operation.

If it is satisfied, the economic optimal post-disaster recovery strategy will be given on the basis of satisfying all the restored power supply loads; if not, the optimal route of MESS movement will be given according to the optimal path scheme, so that the formed microgrid can all meet the normal and reliable operation scheme .

Among them, if the microgrid formed after the network reconstruction only contains photovoltaics or only energy storage, the safe and reliable operation of the microgrid cannot be satisfied. Therefore, it is necessary to select the path with the shortest time to move the MESS to give the optimal moving route scheme of the MESS.

Explanation of key issues:

1. Distribution network constraints and reconfiguration constraints

The power flow model of the distribution network adopts the linearized DistFlow power flow model shown below.

和

分别表示t时刻，线路k上流过的有功和无功功率；

和

分别表示t时刻节点e处注入的有功和无功功率；

表示节点i在t时刻的电压幅值；α_i,j为二进制变量，表示以i，j为起止点的线路的通断状态，若线路通则α_i,j＝1，否则为0；R_i,j和X_i,j分别表示线路的电阻和电抗；

和

分别表示节点e安装的光伏在t时刻所被配电网吸收的有功和无功功率；和分别表示节点e安装的储能在t时刻放出的有功和无功功率；

和

分别表示节点e在t时刻的恢复负荷量；

和

分别表示节点e安装的储能在t时刻充进的有功和无功功率；P_max和Q_max分别表示线路允许通过的最大有功和无功功率；S_k,max表示线路k最大载流量；U_min和 U_max分别表示正常运行时，电压允许的最小值和最大值；

表示点e在t时刻的负荷量；E和B分别表示配电网中节点的数量和故障后规划的形成孤岛的数量；M为采用的大M法处理线路电压时选择的数。In the formula: k(i, j) represents the line k whose starting and ending nodes are i, j respectively, and e represents the node; ^ΩDL represents the set of lines in the flexible distribution network;

and

respectively represent the active and reactive power flowing on line k at time t;

and

represent the active and reactive power injected at node e at time t, respectively;

Represents the voltage amplitude of node i at time t; α _i,j is a binary variable, indicating the on-off state of the line with i, j as the starting and ending points, if the line is connected, α _i,j =1, otherwise it is 0; R _{i ,j} and X _i,j represent the resistance and reactance of the line, respectively;

and

respectively represent the active and reactive power absorbed by the distribution network at time t by the photovoltaic installed at node e; and respectively represent the active and reactive power released by the energy storage installed at node e at time t;

and

Respectively represent the recovery load of node e at time t;

and

respectively represent the active and reactive power charged by the energy storage installed at node e at time t; _Pmax and _Qmax represent the maximum active and reactive power allowed by the line, respectively; S _k,max represent the maximum current carrying capacity of line k; U _min and U _max represent the minimum and maximum allowable voltages in normal operation, respectively;

Represents the load of point e at time t; E and B represent the number of nodes in the distribution network and the number of islands planned after the fault, respectively; M is the number selected when the large M method is used to process the line voltage.

2. Natural gas flow constraints

Using Dynamic Natural Gas Transmission Equations

P=c ² ρ (15)

为平均流速，Δt为时间步长，ρ_j，t+1为t+1时刻第j个观测节点气体密度，ρ_i，t+1为t+1时刻第j个观测节点气体密度，ρ_i，t为t时刻第i 个观测节点气体密度，ρ_j，t为t时刻第j个观测节点气体密度，c为音速，p为气体压强，ρ为气体密度。Among them, A _ij , _{Li ij} , and d _ij are the cross-sectional area, length, and diameter of the pipeline, respectively, M _{j, t+1} is the mass flow rate of the jth observation node at time t+1, and M _{i, t+1} is the mass flow rate of the jth observation node at time t+1. j observation nodes mass flow, M _{j, t} is the mass flow of the jth observation node at time t, M _{i, t} is the mass flow of the jth observation node at time t, p _{j, t+1} is the jth observation node at time t+1 The pressure of observation nodes, pi _{, t+1} is the pressure of the ith observation node at time t+1, p _{j, t} is the pressure of the jth observation node at time t, pi _{, t} is the pressure of the ith observation node at time t , λ is the friction coefficient of the pipeline,

is the average flow velocity, Δt is the time step, ρ _{j, t+1} is the gas density of the jth observation node at time t+1, ρ _{i, t+1} is the gas density of the jth observation node at time t+1, ρ _{i , t} is the gas density of the i-th observation node at time t, ρ _{j, t} is the gas density of the j-th observation node at time t, c is the speed of sound, p is the gas pressure, and ρ is the gas density.

The natural gas network also has some boundary constraints. Pipes connected to each other will have the same gas density at the connection point, and the mass flow at the same node needs to be balanced.

ρ _{i, t} = ρ _{i+1, t} = ρ _{i+2, t} ... (18)

M _i /A _i +M _i+1 /A _i+1 +M _i+2 /A _i+2 …=0 (19) 3. Gas turbine constraints

P _gt =η _gt M _gt (20)

P _gt,min ≤P _gt ≤P _gt,max (21)

P _gt (t+Δt)-P _gt (t)≤r _gt Δt (22)

where P _gt is the active power emitted by the gas turbine, η _gt is the power generation efficiency of the gas turbine, M _gt is the mass flow of natural gas consumed by the gas turbine, P _gt,min is the lower limit of the active power output of the gas turbine, P _gt,max is the upper limit of the active power output of the gas turbine, P _gt ( t+Δt) is the active power of the gas turbine at time t+Δt, P _gt (t) is the active power of the gas turbine at time t, r _gt is the ramp rate of the gas turbine, and Δt is the time step. 4. Electric to gas restriction

M _P2G = η _P2G P _P2G (23)

M _{P2G.min ≤M P2G ≤M P2G.max} (24)

Among them, M _P2G is the injection mass flow rate of the power-to-gas equipment, η _P2G is the working efficiency of the power-to-gas equipment, P _P2G is the electric power consumed by the power-to-gas equipment, M _P2G.min is the lower limit of the injected natural gas mass flow of the power-to-gas equipment, and M _P2G.max is The upper limit of the mass flow rate of natural gas injected into the power-to-gas equipment.

5. Photovoltaic constraints

The output of photovoltaics is restricted by environmental factors.

和

分别表示光伏在t时刻被配电网吸收的有功功率和无功功率；

表示光伏最大输出有功功率；tanθ表示光伏的功率因数。where:

and

Respectively represent the active power and reactive power absorbed by the photovoltaic power distribution network at time t;

Represents the maximum output active power of the photovoltaic; tanθ represents the power factor of the photovoltaic.

6. Objective function

The objective function is that the cost of post-disaster recovery measures is the lowest. The cost of post-disaster recovery measures includes the cost of natural gas, the loss cost of energy conversion equipment, the switching cost of network reconstruction remote control switch, the fuel cost of MESS, and the cost of lost load loss.

min f=min(f ₁ +f ₂ +f ₃ +f ₄ ) (27)

f ₄ =C _MESS t _load (31)

f ₅ =C _load t _load (32)

In the formula: f represents the total cost of post-disaster recovery measures; f ₁ represents the cost of natural gas; i, t represent the ith gas turbine and time t, respectively; F and T represent the number of gas turbines in the system and the planned time period, respectively; C _n represents the unit price of natural gas; Mi _{, t} represents the mass flow of the node passing through the ith gas turbine at time t; f ₂ represents the loss cost of energy conversion equipment; C _p and C _g represent the loss coefficient of P2G equipment and gas turbine equipment respectively; f ₃ represents remote Remote control switch loss cost; C _k represents the cost coefficient of one switch operation; k _j,t represents the switch state of the jth switch at time t, the closed state is 1, and the open state is 0; f ₄ represents the fuel cost of MESS; C _MESS represents the fuel cost coefficient per unit time of the MESS; t _load represents the MESS moving time; f ₅ represents the total cost of lost load during the time spent; C _load represents the loss cost factor of the unsupplied load when the MESS moves.

8. MESS mobile response

MESS is mainly composed of two parts, power vehicle and container energy storage system. The container energy storage system is generally composed of energy storage battery system, monitoring system, battery management system and battery monitoring and display system, special air conditioner for container battery, energy storage converter and isolation transformer. Compared with fixed battery energy storage systems, MESS is more flexible and convenient, easier to produce, assemble and maintain, and easy to achieve accident isolation. MESS is widely used in scenarios such as peak regulation and frequency regulation under normal operation of power systems and post-disaster recovery.

(1) Operation model of MESS

The operation model of the MESS considered in the present disclosure is the same as the fixed operation model, and only differs in the access node. The operation model of the MESS is shown in equations (1)-(8).

和

分别为t时间段内MESS在节点m处的充电和放电有功功率；

和

分别为t时间段内MESS在节点m处的充电和放电无功功率；S_PCS,max,m为第m 个MESS的储能变流器的最大视在功率；

和

分别为t时间段内MESS 在节点m处的充电和放电标志位，

表示若MESS处于充电状态则

否则为0；P_chmax和P_dismax分别为MESS的最大充电功率和放电功率；η_ch,m和η_dis,m分别为在节点m处的MESS的充电效率和放电效率；

表示t时间段内 MESS在节点m处的SOC状态；SOC_min和SOC_max分别为SOC的最低值和最高值限制。In the formula: M is the set of nodes where MESS is installed; T is the set of post-disaster recovery time;

and

are the charging and discharging active power of the MESS at node m in the time period t, respectively;

and

are the charging and discharging reactive power of the MESS at node m in the time period t, respectively; S _PCS,max,m is the maximum apparent power of the energy storage converter of the mth MESS;

and

are the charge and discharge flags of the MESS at node m in the time period t, respectively,

Indicates that if the MESS is in the charging state,

Otherwise, it is 0; P _chmax and P _dismax are the maximum charging power and discharging power of the MESS, respectively; η _ch,m and η _dis,m are the charging efficiency and discharging efficiency of the MESS at node m, respectively;

Represents the SOC state of the MESS at node m in the time period t; SOC _min and SOC _max are the minimum and maximum limits of the SOC, respectively.

(2) Transportation model of MESS

Considering the traffic situation of MESS in the post-disaster mobile transportation process, the present disclosure establishes a grid distribution network structure model. The model first divides the distribution network structure into grids, and the actual distance between each node can be determined by The distance between the two nodes is shown in the table. MESS is required to drive only on grid lines. Assuming that the side length of the small grid is 1km, the MESS must travel on the grid line. If the MESS is transferred from node 1 to node 6, the required driving distance is 4km. The time spent in the post-disaster recovery process of MESS is shown in Equation (9).

t _ij,m =n _ij ΔL/v _m (41)

In the formula: i, j represent the starting node of the line respectively, t _{ij, m} represent the time required for the mth MESS to travel between nodes i and j; n _ij is the length of the small grid between nodes i and j number; ΔL is the side length of the small grid; _vm represents the average speed of the m-th MESS in the t time period.

The time period concerned by the technical solution of the present disclosure is only the longer-term recovery stage after the disaster, and under the premise of the recovery of important loads and most loads after the disaster, by optimizing the implementation plan of various post-disaster recovery measures, the economical economic recovery of the distribution network after the disaster is optimized. Therefore, the post-disaster recovery can ensure the safe, economical and reliable operation of the distribution network on the basis of ensuring the full recovery of most loads.

The objective function of post-disaster recovery measures optimization is to minimize the cost of post-disaster recovery measures, including the cost of natural gas, the cost of energy conversion equipment, the cost of network reconstruction remote control switches, the cost of MESS fuel and the cost of loss of load for time spent.

The constraints include the load constraints in the distribution network, the power flow constraints in the distribution network, the natural gas network power flow constraints, the installation component constraints in the distribution network, the operation of the energy storage power station and the transportation constraints.

The planned scheme selects movable energy storage for moving under the condition that the normal operation of the microgrid is not satisfied, so that the microgrid can meet the conditions of reliable operation for a long time, and then gives the economic recovery of the reliable operation of the distribution network after a disaster. measure plan.

In other embodiments, a post-disaster recovery control operation system for a flexible distribution network based on an electric-gas integrated energy system is disclosed, including:

The objective function building block in the post-disaster operation control system is set as the optimization objective of minimizing the cost of post-disaster recovery strategy.

Constraints setting module, constraints are set as distribution network system constraints, power restoration load constraints, natural gas network constraints, energy conversion element conditions, photovoltaic constraints, MESS operation constraints, etc.

The measurement module is configured to determine the network measurement values required to achieve the objective function according to the objective function and the constraints, specifically including the nodes in the distribution network that have not been restored to the power supply, the nodes corresponding to the location of the nodes in the transportation network and their failures. load size.

The control module is configured to obtain the recovery plan through the optimization and calculation of the algorithm according to the parameters measured by the measurement module, that is, to obtain the optimal charging and discharging operation of the energy storage power station. After the network reconstruction, the state of the distribution network and the output of the gas turbine will be obtained. The optimization results are fed back to the distribution network. In the recovery stage of the MESS, the control module is based on the distribution network load information measured by the measurement module, and the MESS movement starting and ending points in the distribution network are given to realize the safety of the distribution network. Economic Operation.

In other embodiments, a terminal device is disclosed, which includes a processor and a computer-readable storage medium, where the processor is used for implementing various instructions; the computer-readable storage medium is used for storing a plurality of instructions, the instructions are suitable for being stored by The processor loads and executes the joint optimization method for planning and operation of an electric-gas hybrid system based on distributed multi-scenarios described in Embodiment 1.

In other embodiments, a computer-readable storage medium is disclosed, in which a plurality of instructions are stored, and the instructions are adapted to be loaded by a processor of a terminal device and execute the electro-pneumatic-based system described in the embodiments. Post-disaster emergency response methods for flexible distribution networks for integrated energy systems.

Those skilled in the art should understand that the above-mentioned modules or steps of the present disclosure can be implemented by a general-purpose computer device, or alternatively, they can be implemented by a program code executable by the computing device, so that they can be stored in a storage device. The device is executed by a computing device, or they are separately fabricated into individual integrated circuit modules, or multiple modules or steps in them are fabricated into a single integrated circuit module for implementation. The present disclosure is not limited to any specific combination of hardware and software.

The above descriptions are only preferred embodiments of the present disclosure, and are not intended to limit the present disclosure. For those skilled in the art, the present disclosure may have various modifications and changes. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present disclosure shall be included within the protection scope of the present disclosure.

Although the specific embodiments of the present disclosure are described above in conjunction with the accompanying drawings, they do not limit the protection scope of the present disclosure. Those skilled in the art should understand that on the basis of the technical solutions of the present disclosure, those skilled in the art do not need to pay creative efforts. Various modifications or variations that can be made are still within the protection scope of the present disclosure.

Claims (10)

1. A post-disaster recovery control method for a flexible distribution network based on an electric-gas integrated energy system, characterized in that it includes: After the emergency response of the elastic distribution network after the fault occurs, most of the loads in the elastic distribution network are restored to supply power. According to the existing state of the distribution network, the network is modeled according to the fault location. Based on power flow modeling, three models of post-disaster recovery measures, namely network reconfiguration, gas turbine and diesel generator, or MESS, are established. With the lowest cost of post-disaster recovery measures as the optimization goal, the optimal coordination scheme is obtained, and then the micro-scale of network reconstruction is obtained. grid topology; It is judged whether the microgrid topology structure of network reconstruction meets the conditions for reliable operation, if not, the MESS is moved with the shortest moving time as the optimization goal until the microgrid topology structure of network reconstruction meets the conditions for reliable operation; the established objective function for: min f=min(f ₁ +f ₂ +f ₃ +f ₄ +f ₅ )

f ₄ =C _MESS t _load f ₅ =C _load t _load ; In the formula: f represents the total cost of post-disaster recovery measures; f ₁ represents the cost of natural gas; i, t represent the ith gas turbine and time t, respectively; F and T represent the number of gas turbines in the system and the planned time period, respectively; C _n represents the unit Natural gas price; Mi _,t represents the mass flow of the node passing through the ith gas turbine at time t; f ₂ represents the loss cost of energy conversion equipment; C _p and C _g represent the loss coefficient of P2G equipment and gas turbine equipment respectively; f ₃ represents remote Remote control switch loss cost; C _k represents the cost coefficient of one switch operation; k _j,t represents the switch state of the jth switch at time t, the closed state is 1, and the open state is 0; f ₄ represents the fuel cost of MESS; C _MESS represents the fuel cost coefficient per unit time of the MESS; t _load represents the MESS moving time; f ₅ represents the total cost of lost load during the time spent; C _load represents the loss cost factor of the unsupplied load when the MESS moves. 2. The post-disaster recovery control method for a flexible distribution network based on an electric-gas integrated energy system as claimed in claim 1, wherein the optimal coordination scheme is obtained in the following way: three types of post-disaster recovery measure models established for , taking the lowest cost of post-disaster recovery measures as the optimization goal, considering distribution network network reconfiguration constraints, natural gas network constraints, energy conversion equipment constraints, system installation component constraints, and restoration load constraints, the post-disaster recovery strategy combination of three optimization measures is obtained. 3. The post-disaster recovery control method for a flexible distribution network based on an electric-gas integrated energy system as claimed in claim 1, wherein in the optimal coordination scheme, all power supply loads are restored as constraints, and the power distribution network is passed through the power distribution network. The installation site of the gas turbine and the photovoltaic installation site in the middle of the network are reconstructed to ensure the power supply of the load. The missing part is moved through the MESS or the supply of diesel generators is added to ensure that the power supply of the load is fully restored. On this basis, the lowest cost of various restoration measures is adopted. In order to optimize the goal, the economical optimal post-disaster recovery strategy is given. 4. The post-disaster recovery control method for a flexible distribution network based on an electric-gas integrated energy system as claimed in claim 1, characterized in that, if the microgrid formed after network reconfiguration contains only photovoltaics or only energy storage, it cannot be To meet the safe and reliable operation of the microgrid, select the path with the shortest time to move the MESS to give the optimal moving route scheme of the MESS. 5 . The post-disaster recovery control method for a flexible distribution network based on an electric-gas integrated energy system according to claim 1 , wherein the power flow model of the distribution network adopts a linearized DistFlow power flow model. 6 . 6. The post-disaster recovery control method for an elastic distribution network based on an electric-gas integrated energy system as claimed in claim 1, wherein the objective function is that the cost of post-disaster recovery measures is the lowest, and the cost of post-disaster recovery measures includes natural gas costs, energy conversion equipment The loss cost of the network reconfiguration remote control switch, the fuel cost of the MESS and the loss of load loss cost of the time spent. 7. The post-disaster recovery control method for a flexible distribution network based on an electric-gas integrated energy system as claimed in claim 1, wherein the MESS mainly consists of two parts, a power vehicle and a container energy storage system, and a container energy storage system. The system consists of energy storage battery system, monitoring system, battery management system and battery monitoring display system, special air conditioner for container battery, energy storage converter and isolation transformer. 8. A post-disaster recovery control operation system for a flexible distribution network based on an electric-gas integrated energy system, characterized in that it includes: The objective function building block in the post-disaster operation control system is set to minimize the cost of the post-disaster recovery strategy as the optimization objective; after the emergency response of the elastic distribution network after the fault occurs, most of the loads in the elastic distribution network can restore power supply. Above, according to the existing state of the distribution network, the network is modeled according to the fault location; the established objective function is: min f=min(f ₁ +f ₂ +f ₃ +f ₄ +f ₅ )

f ₄ =C _MESS t _load f ₅ =C _load t _load ; In the formula: f represents the total cost of post-disaster recovery measures; f ₁ represents the cost of natural gas; i, t represent the ith gas turbine and time t, respectively; F and T represent the number of gas turbines in the system and the planned time period, respectively; C _n represents the unit Natural gas price; Mi _,t represents the mass flow of the node passing through the ith gas turbine at time t; f ₂ represents the loss cost of energy conversion equipment; C _p and C _g represent the loss coefficient of P2G equipment and gas turbine equipment respectively; f ₃ represents remote Remote control switch loss cost; C _k represents the cost coefficient of one switch operation; k _j,t represents the switch state of the jth switch at time t, the closed state is 1, and the open state is 0; f ₄ represents the fuel cost of MESS; C _MESS represents the fuel cost coefficient per unit time of the MESS; t _load represents the MESS moving time; f ₅ represents the total cost of lost load during the time spent; C _load represents the loss cost factor of the unsupplied load when the MESS moves; Constraints setting module, the constraints are set as distribution network system constraints, power restoration load constraints, natural gas network constraints, energy conversion element conditions, photovoltaic constraints, and MESS operation constraints; the measurement module is configured according to the target. function and constraints, determine the network measurement values required to achieve the objective function, including the nodes in the distribution network that have not recovered power supply, the nodes corresponding to the location of the nodes in the transportation network, and the size of their load loss; The control module is configured to obtain the recovery plan through the optimization and calculation of the algorithm according to the parameters measured by the measurement module, that is, to obtain the optimal charging and discharging operation of the energy storage power station. After the network reconstruction, the state of the distribution network and the output of the gas turbine will be obtained. The optimization results are fed back to the distribution network. In the recovery stage of the MESS, the control module is based on the distribution network load information measured by the measurement module, and the MESS movement starting and ending points in the distribution network are given to realize the safety of the distribution network. Economic Operation. 9. A terminal device, comprising a processor and a computer-readable storage medium, wherein the processor is used to implement each instruction; the computer-readable storage medium is used to store a plurality of instructions, wherein the instructions are suitable for being loaded by the processor And execute the post-disaster recovery control method for a flexible distribution network based on an electric-gas integrated energy system according to any one of claims 1-7. 10. A computer-readable storage medium, wherein a plurality of instructions are stored, wherein the instructions are adapted to be loaded by a processor of a terminal device and execute the electronic-based computer-based computer according to any one of claims 1-7. Post-disaster recovery control method for flexible distribution network of gas integrated energy system.

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