Forest region power grid optimization operation method and system in forest fire scene

Abstract

The invention discloses a forest power grid optimization operation method and system in a forest fire scene, and the method comprises the steps: firstly constructing a forest power grid optimization operation model in the forest fire scene, considering the influence of smoke and high temperature generated in the forest fire scene on a power grid line, a traffic network and renewable energy output, and making full use of mobile energy storage resources; and solving the forest power grid optimization operation model in the forest fire scene to obtain an optimization operation strategy of the forest power grid in the forest fire scene, including a source-load-storage operation scheme of each node of the forest power grid. According to the method, when the forest power grid optimization operation model in the forest fire scene is constructed, various conditions, including influences of generated smoke and high temperature on a power grid line, a traffic network and renewable energy output, on the forest power grid in the forest fire scene are fully considered, and the power supply interruption cost of loads with different importance degrees is synthesized, so that the forest power grid optimization operation model in the forest fire scene is constructed. On the basis of flexibly optimizing source-load-storage operation of each node, mobile energy storage is utilized, the power recovery efficiency after disasters is improved, and light abandoning and wind abandoning amount are reduced while the power supply interruption cost of the system is reduced.

Description

TECHNICAL FIELD

[0001] The application belongs to the field of optimal operation of power grid under extreme scenarios, and particularly relates to a forest area power grid optimal operation method and system under a forest fire scenario. BACKGROUND

[0002] With the acceleration of the construction of new power systems, renewable power sources and energy storage solutions are being increasingly incorporated into practice. The installed capacity of renewable energy sources such as photovoltaics and wind power continues to expand, and their optimization of power supply structure is becoming increasingly significant. Energy storage technology also plays a key role in stable operation of the power grid. Various types of energy storage technologies, such as fixed energy storage and mobile energy storage, have formed diversified application modes in different aspects of the power system, such as the power generation side, the grid side, and the user side, and together support the development of new power systems in the direction of clean, low-carbon, safe, and efficient. However, at the same time, the frequent occurrence of extreme weather events has caused great damage to the stability of the power system, among which forest fires are an increasingly prominent threat.

[0003] The occurrence of forest fires poses a significant risk to multiple key aspects of the power system. The high-temperature flames and smoke generated by forest fires can directly damage power transmission line equipment, and the smoke particles that drift and attach to the surface of insulators can reduce insulation performance, easily causing line faults. In addition, forest fires can also lead to a decrease in traffic network efficiency, affecting the delivery efficiency of energy storage devices. Therefore, how to ensure stable operation of the power grid under forest fire scenarios has become a core issue that needs to be addressed. SUMMARY

[0004] The purpose of the present application is to provide a forest area power grid optimal operation method and system under a forest fire scenario to solve the above problems existing in the prior art.

[0005] To achieve the above purpose, the technical solutions of the present application are as follows:

[0006] In a first aspect, the present application provides a forest area power grid optimal operation method under a forest fire scenario, comprising:

[0007] S1, a forest area power grid optimal operation model under a forest fire scenario is constructed, which takes into account the influence of smoke and high temperature generated under a forest fire scenario on power grid lines, traffic networks, and renewable energy output, and makes full use of mobile energy storage resources;

[0008] S2, the forest area power grid optimal operation model under a forest fire scenario is solved to obtain an optimal operation strategy for the forest area power grid under a forest fire scenario, including the operation scheme of source-load-storage of each node of the forest area power grid.

[0009] In the S1, the objective function of the forest area power grid optimal operation model under a forest fire scenario includes:

[0010] ;

[0011] ;

[0012] ;

[0013] ;

[0014] ;

[0015] ;

[0016] ;

[0017] In the above formula, Costs of power outages for critical loads Cost of power outage for normal loads To cover the cost of light curtailment, For the cost of wind curtailment, For the cost of using mobile energy storage, The cost of grid load / output loss during the configuration of mobile energy storage. The number of days affected by the wildfires. , Time periods Time grid node Important load power and ordinary load power that are interrupted in power supply For unit duration, , The unit penalty cost for power outages affecting critical loads and ordinary loads, respectively. , Time periods Time grid node The power of curtailed solar and wind power, , The unit cost of curtailing solar and wind power, For time period From traffic nodes Dispatch to transportation nodes The number of mobile energy storage devices, To start from traffic nodes Dispatch to transportation nodes The binary variables of the mobile energy storage pathway. For roads Length, The unit cost of travel for mobile energy storage, For time period Time grid node The maximum power of mobile energy storage The unit replenishment cost for mobile energy storage, For time period Mobile energy storage on roads The actual travel time on the road This refers to the rated power of a single mobile energy storage unit. The unit load / output loss cost of the power grid during the configuration of mobile energy storage.

[0018] In S1, the constraints of the forest power grid optimization operation model under the wildfire scenario include mobile energy storage operation constraints and fixed energy storage operation constraints.

[0019] The operational constraints of the mobile energy storage include:

[0020] ;

[0021] ;

[0022] ;

[0023] ;

[0024] ;

[0025] In the above formula, For time period Mobile energy storage on roads The actual travel time on the road For time period The intensity of the wildfire at that time For blocks The coefficient for determining whether or not the area is affected by wildfires. Factors influencing the impact of wildfires on transportation systems. For blocks With roads The correlation coefficient, For time period Road The usual passage time, For time period Time grid node The maximum power of mobile energy storage For time period From traffic nodes Dispatch to transportation nodes The number of mobile energy storage devices, For traffic nodes With grid nodes The correlation coefficient, This refers to the rated power of a single mobile energy storage unit. For time period Time grid node The actual power of mobile energy storage For time period the power grid node the operating state variable of the mobile energy storage at the time t, is a large M constant, is the traffic node in a typical day the maximum number of mobile energy storages that can be dispatched;

[0026] The fixed energy storage operation constraints include:

[0027] ;

[0028] ;

[0029] ;

[0030] ;

[0031] ;

[0032] ;

[0033] In the above formula, is the critical value of the bearing capacity of the fixed energy storage to the fire intensity, is the time period the power grid node the operating power state variable of the fixed energy storage at the time t, is the time period the intensity of the forest fire at the time t, is the block the determination coefficient of whether it is affected by the forest fire, is the block the correlation coefficient with the power grid node , is the time period the power grid node the operating state variable of the fixed energy storage at the time t, is the maximum cumulative duration of the fixed energy storage in the output state in a typical day, is the full-power operation power of each set of fixed energy storage, is the number of sets of fixed energy storage at the power grid node , is the power reduction operation coefficient of the fixed energy storage, is the time period the actual operation power of the fixed energy storage at the power grid node at the time t, , respectively, the lower limit and the upper limit of the state of charge of the fixed energy storage, is the capacity of a single set of fixed energy storage, is the initial state of charge of the fixed energy storage, For unit duration, for At any time during the period, This refers to the final period of a typical day.

[0034] In S1, the constraints of the forest power grid optimization operation model under the wildfire scenario also include renewable energy operation constraints;

[0035] The operating constraints of the renewable energy sources include:

[0036] ;

[0037] ;

[0038] ;

[0039] ;

[0040] ;

[0041] ;

[0042] ;

[0043] ;

[0044] ;

[0045] ;

[0046] In the above formula, For time period Time grid node The maximum output of the photovoltaic system after being affected by smog For time period The intensity of the wildfire at that time For blocks The coefficient for determining whether or not the area is affected by wildfires. For blocks With grid nodes The correlation coefficient, The coefficient representing the impact of smoke on photovoltaic power output. For time period Time grid node At the maximum output during normal photovoltaic operation, For time period Time grid node The actual power absorbed by photovoltaic power. For time period Time grid node The power at the photovoltaic that is not absorbed, The time period The actual ambient temperature of the forest area affected by the forest fire, The time period The ambient temperature of the forest area not affected by the forest fire, The ambient temperature rise caused by the forest fire per unit intensity, The time period The determination factor of whether the wind power output is affected by high temperature, The large M constant, The critical ambient temperature that affects the wind power output, The influence coefficient of ambient temperature on wind power output, The time period The power grid node The output drop of the wind power affected by high temperature, The time period The power grid node The maximum output of the wind power after being affected by high temperature, The time period The power grid node The maximum output of the wind power in normal operation, The time period The power grid node The actual absorbed power of the wind power, The time period The power grid node The power not absorbed by the wind power.

[0047] In the S1, the constraint condition of the forest area power grid optimal operation model under the forest fire scenario further includes a load operation constraint and a power grid operation constraint.

[0048] The load operation constraint includes:

[0049] ;

[0050] ;

[0051] ;

[0052] ;

[0053] ;

[0054] ;

[0055] ;

[0056] ;

[0057] ;

[0058] In the above formula, the A-type load is an important load, and the B-type load is a common load, 、 are the load demands of the A-type load and the B-type load at the power grid node at the time period , are the actual loads of the A-type load and the B-type load at the power grid node at the time period , are the loss-of-load powers of the A-type load and the B-type load at the power grid node at the time period , are the loss-of-load state variables of the A-type load and the B-type load at the power grid node at the time period , are the maximum load loss coefficients of the A-type load and the B-type load, , are the maximum loss-of-load durations of the A-type load and the B-type load in a typical day; The power grid operation constraints include: ; , are the maximum loss-of-load durations of the A-type load and the B-type load in a typical day;

[0059] The power grid operation constraints include:

[0060] ;

[0061] ;

[0062] ;

[0063] In the above formula, is the resistance of the power grid line to the forest fire at the block , is the correlation coefficient of the block and the line , is the tie state variable of the power grid line at the time period , is the intensity of the forest fire at the time period , is the determination coefficient of whether the block is affected by the forest fire, is the active power of the power grid line at the time period , is the power grid line​​​​​ correlation coefficient of the power grid node, at a time period, actual power of mobile energy storage at the power grid node at a time period, actual operating power of fixed energy storage at the power grid node at a time period, actual power of photovoltaic actually consumed at the power grid node at a time period, actual power of wind power actually consumed at the power grid node , actual load of the A-type load and the B-type load at the power grid node at a time period, capacity of the power grid line. In a second aspect, the present application provides a forest area power grid optimal operation system under a forest fire scenario, comprising an operation model construction module and an operation model solving module. The operation model construction module is used to construct a forest area power grid optimal operation model under a forest fire scenario, which considers the influence of smoke and high temperature generated under a forest fire scenario on power grid lines, traffic networks and renewable energy output, and fully utilizes mobile energy storage resources. The operation model solving module is used to solve the forest area power grid optimal operation model under a forest fire scenario to obtain an optimal operation strategy of the forest area power grid under a forest fire scenario, including the operation scheme of source-load-storage of each node of the forest area power grid. The operation model construction module comprises a target function construction unit.

[0064] The target function construction unit is used to construct the target function of the forest area power grid optimal operation model under a forest fire scenario as follows:

[0065]

[0066]

[0067]

[0068]

[0069]

[0070]

[0071]

[0072]

[0073]

[0074] ​​​​​​​​​​​​ ;

[0075] ;

[0076] In the above formula, is the important load power supply interruption cost, is the ordinary load power supply interruption cost, is the light abandonment cost, is the wind abandonment cost, is the mobile energy storage use cost, is the load / output loss cost of the power grid during the mobile energy storage configuration process, is the number of days affected by forest fires, , are the important load power and the ordinary load power at the power grid node during the time period , are the unit time length, , , are the unit penalty cost of the important load and the ordinary load power supply interruption, , are the light abandonment power and the wind abandonment power at the power grid node during the time period , , , are the unit cost of light abandonment and wind abandonment, is the number of mobile energy storages sent from the traffic node to the traffic node during the time period , is a binary variable of the road through which the mobile energy storage is sent from the traffic node to the traffic node , is the length of the road , is the unit passage cost of the mobile energy storage, is the maximum power of the mobile energy storage at the power grid node during the time period , is the unit compensation cost of the mobile energy storage, is the actual passage time of the mobile energy storage on the road during the time period , is the rated power of a single mobile energy storage, is the unit load / output loss cost of the power grid during the mobile energy storage configuration process.

[0077] The operation model construction module further comprises a mobile energy storage operation constraint construction unit and a fixed energy storage operation constraint construction unit;

[0078] The mobile energy storage operation constraint construction unit is used to construct the mobile energy storage operation constraints for the optimized operation model of the forest power grid under the following wildfire scenario:

[0079] ;

[0080] ;

[0081] ;

[0082] ;

[0083] ;

[0084] In the above formula, For time period Mobile energy storage on roads The actual travel time on the road For time period The intensity of the wildfire at that time For blocks The coefficient for determining whether or not the area is affected by wildfires. Factors influencing the impact of wildfires on transportation systems. For blocks With roads The correlation coefficient, For time period Road The usual passage time, For time period Time grid node The maximum power of mobile energy storage For time period From traffic nodes Dispatch to traffic nodes The number of mobile energy storage devices, For traffic nodes With grid nodes The correlation coefficient, This refers to the rated power of a single mobile energy storage unit. For time period Time grid node The actual power of mobile energy storage For time period Time grid node The working state variables of mobile energy storage For the large M constant, As a typical intraday traffic node The maximum number of mobile energy storage units that can be deployed;

[0085] The fixed energy storage operation constraint construction unit is used to construct the fixed energy storage operation constraints of the forest power grid optimization operation model under the following wildfire scenario:

[0086] ;

[0087] ;

[0088] ;

[0089] ;

[0090] ;

[0091] ;

[0092] In the above formula, To determine the critical value of the fixed energy storage's ability to withstand fire intensity. For time period Time grid node The operating power state variable of fixed energy storage. For time period The intensity of the wildfire at that time For blocks The coefficient for determining whether or not the area is affected by wildfires. For blocks With grid nodes The correlation coefficient, For time period Time grid node The working state variables of fixed energy storage This represents the maximum cumulative duration during which a typical fixed energy storage system is in an output state within a day. For each fixed energy storage unit operating at full power, For power grid nodes The number of fixed energy storage units. To reduce the power consumption of fixed energy storage, For time period Time grid node The actual operating power of the fixed energy storage , These are the lower and upper limits of the fixed state of charge for energy storage, respectively. For the capacity of a single stationary energy storage unit, To fix the initial state of charge of energy storage, For unit duration, for At any time during the period, This refers to the final period of a typical day.

[0093] The operation model construction module further comprises a renewable energy operation constraint construction unit;

[0094] The renewable energy operation constraint construction unit is configured to construct renewable energy operation constraints of the forest area power grid optimal operation model under the forest fire scenario.

[0095] ;

[0096] ;

[0097] ;

[0098] ;

[0099] ;

[0100] ;

[0101] ;

[0102] ;

[0103] ;

[0104] ;

[0105] In the above formula, is the time period is the maximum output of the photovoltaic under the influence of the smoke at the power grid node is the intensity of the forest fire at the time period is the determination coefficient of whether the block is affected by the forest fire, is the correlation coefficient of the block and the power grid node is the influence coefficient of the smoke on the photovoltaic output, is the maximum output of the photovoltaic under normal operation at the power grid node is the actual consumed power of the photovoltaic at the power grid node is the actual environmental temperature of the forest area affected by the forest fire at the time period ​​​​​​​​​​​​​ambient temperature in the forest area not affected by the bushfire, ambient temperature rise caused by bushfire with unit intensity, time period determination factor of whether the wind power output is affected by high temperature, large M constant critical ambient temperature affecting wind power output, ambient temperature affecting coefficient of wind power output, time period power grid node output drop of wind power affected by high temperature, time period power grid node maximum output of wind power affected by high temperature, time period power grid node maximum output of wind power in normal operation, time period power grid node actual wind power consumed, time period power grid node unconsumed wind power.

[0106] The operation model construction module further comprises a load operation constraint construction unit and a power grid operation constraint construction unit.

[0107] The load operation constraint construction unit is configured to construct a load operation constraint of the forest area power grid optimization operation model under the bushfire scenario.

[0108] ;

[0109] ;

[0110] ;

[0111] ;

[0112] ;

[0113] ;

[0114] ;

[0115] ;

[0116] ;

[0117] In the above formula, Class A loads are important loads, and Class B loads are ordinary loads. , Time periods Time grid node The load demand for Class A and Class B loads, , Time periods Time grid node The actual load of Class A and Class B loads , Time periods Time grid node The power loss of Class A and Class B loads. , These are the maximum load loss factors for Class A and Class B loads, respectively. , For time period Time grid node The unload state variables for Class A and Class B loads For the large M constant, , These represent the maximum load shedding duration for Class A and Class B loads within a typical day.

[0118] The power grid operation constraint construction unit is used to construct the power grid operation constraints for the optimized operation model of the forest power grid under the following wildfire scenario:

[0119] ;

[0120] ;

[0121] ;

[0122] In the above formula, For blocks The resistance of power grid lines to wildfires, For blocks With the line The correlation coefficient, For time period Power grid lines The communication state variable, For time period The intensity of the wildfire at that time For blocks The coefficient for determining whether or not the area is affected by wildfires. For time period Power grid lines active power, For power grid lines With grid nodes The correlation coefficient, For time period Time grid node The actual power of mobile energy storage For time period Time grid node The actual operating power of the fixed energy storage For time period Time grid node The actual power absorbed by photovoltaic power. For time period Time grid node The actual power absorbed by wind power. , Time periods Time grid node The actual load of Class A and Class B loads For power grid lines The capacity.

[0123] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0124] This invention proposes a method and system for optimizing the operation of forest power grids under wildfire scenarios. The method first constructs an optimized operation model for forest power grids under wildfire scenarios. This model considers the impact of smoke and high temperatures generated during wildfires on power grid lines, transportation networks, and renewable energy output, and fully utilizes mobile energy storage resources. Then, by solving the optimized operation model, the optimized operation strategy for forest power grids under wildfire scenarios is obtained, including the operation schemes for the source-load-storage of each node in the forest power grid. On the one hand, when constructing the optimized operation model for forest power grids under wildfire scenarios, this method fully considers various situations that may affect the forest power grid under wildfire scenarios, including the impact of smoke and high temperatures on power grid lines, transportation networks, and renewable energy output. This effectively reduces the power imbalance caused by sudden changes in photovoltaic and wind power output under smoke cover, significantly improving the stability and security of power grid operation during wildfires. On the other hand, this method comprehensively considers the power outage costs of loads of different importance levels. Based on the flexible optimization of the source-load-storage operation of each node, it fully utilizes mobile energy storage to improve post-disaster power restoration efficiency, reducing both the cost of system power outages and the amount of curtailed solar and wind power. Attached Figure Description

[0125] Figure 1 This is a topological diagram of the example described in Example 1.

[0126] Figure 2 This is a typical intraday power output characteristic curve of photovoltaic and wind power as described in Example 1.

[0127] Figure 3 A typical daily basis ambient temperature characteristic curve for example 1.

[0128] Figure 4 A fire intensity characteristic curve during the forest fire duration for example 1.

[0129] Figure 5 A whole flow chart of the method according to the application.

[0130] Figure 6 A power-traffic coupling network architecture diagram for the forest area according to example 1.

[0131] Figure 7 A structure diagram of the system according to the application. DETAILED DESCRIPTION

[0132] The application will be further described in detail below in conjunction with the specific embodiments and the accompanying drawings.

[0133] The application provides a forest area power grid optimal operation method and system under a forest fire scenario, which is applied to the forest fire scenario, smoke generated thereby will affect photovoltaic output, environmental temperature rise caused thereby will affect wind power output, high temperature and high conductivity plasma generated thereby will damage the insulation performance of a line to cause power supply interruption of the line, dust and smoke generated thereby will affect the passing efficiency of a traffic network, thereby increasing driving time consumption of mobile energy storage and the like, the power supply interruption cost of different important degree loads is comprehensively considered, on the basis of flexible optimization of source-load-storage operation of each node, mobile energy storage is fully utilized, and the amount of abandoned light and wind is reduced while reducing the system power supply interruption cost.

[0134] Example 1:

[0135] This example takes a power-traffic coupling network with 12 blocks, 18 power distribution network nodes and 16 traffic nodes as the research object, and the topological structure is as shown in Figure 1 A typical daily photovoltaic and wind power basis output characteristic curve used in the example is as shown in Figure 2 A typical daily basis ambient temperature characteristic curve is as shown in Figure 3 A fire intensity characteristic curve during the forest fire duration is as shown in Figure 4The parameters in the example are set as follows: the number of days affected by the forest fire is 3 days, the unit time length is 1 hour, the unit penalty cost of power supply interruption for important load and ordinary load is 5 yuan per kilowatt hour and 20 yuan per kilowatt hour respectively, the unit cost of curtailment of light and wind is 3 yuan per hour, the unit passing cost of mobile energy storage is 3 yuan per kilometer, the rated power of a single mobile energy storage is 100 kilowatts, the unit load / output loss cost of the power grid during the mobile energy storage configuration process is 10 yuan per kilowatt hour, the influence factor of the forest fire on the transportation system is 0.5, the critical value of the withstand capacity of the fixed energy storage to the fire intensity is 1.8, the maximum cumulative time length of the fixed energy storage in the output state within a typical day is 8 hours, the full-power operation power of each set of fixed energy storage is 40 kilowatts, the power reduction operation coefficient of the fixed energy storage is 0.3, the lower limit and upper limit of the state of charge of the fixed energy storage are 0.1 and 0.9 respectively, the initial state of charge of the fixed energy storage is 0.8, the capacity of a single set of fixed energy storage is 80 kilowatt hours, the maximum load loss coefficients of the A-type load and the B-type load are 0.1 and 0.3 respectively, the maximum load loss time lengths of the A-type load and the B-type load within a typical day are 2 hours and 4 hours respectively, the influence coefficient of the smoke on the photovoltaic output is 0.08, the environmental temperature rise caused by a unit intensity of forest fire is 2 degrees Celsius, the critical environmental temperature affecting the wind power output is 35 degrees Celsius, and the influence coefficient of the environmental temperature on the wind power output is 0.05.

[0136] As shown in Figure 5 , a method for optimizing the operation of a forest area power grid in a forest fire scenario, in turn, according to the following steps:

[0137] 1. Constructing a forest area power grid optimization operation model in a forest fire scenario, which considers the influence of smoke and high temperature generated in the forest fire scenario on the power grid line, transportation network and renewable energy output, and fully utilizes the mobile energy storage resource;

[0138] The power-traffic coupling network architecture of the forest area is shown in Figure 6 , which considers the influence of smoke, high temperature and the like generated in the forest fire scenario on the power grid line, transportation network and renewable energy output, and comprehensively considers the power supply interruption cost of different important degree loads, to minimize the power supply interruption cost and the amount of curtailment of light and wind, and construct a forest area power grid optimization operation model in a forest fire scenario. Among them, the influence of forest fire on the power grid line is that the high temperature and high conductivity plasma generated will damage the insulation performance of the line and cause power supply interruption of the line; the influence of forest fire on the transportation network is that the dust and smoke generated will affect the traffic efficiency of the transportation network, thereby increasing the driving time consumption of the mobile energy storage; the influence of forest fire on the renewable energy output is the influence of smoke on photovoltaic and the influence of environmental temperature rise on wind power.

[0139] The objective function of the forest area power grid optimization operation model in the forest fire scenario includes:

[0140] ;

[0141] ;

[0142] ;

[0143] ;

[0144] ;

[0145] ;

[0146] ;

[0147] In the above formula, is the cost of power supply interruption for important loads, is the cost of power supply interruption for ordinary loads, is the cost of light abandonment, is the cost of wind abandonment, is the cost of mobile energy storage use, is the cost of load / output loss of the power grid during the mobile energy storage configuration process, is the number of days affected by forest fires, , are the important load power and ordinary load power interrupted at the power grid node at the time period , is the unit time length, , are the unit penalty costs of important load and ordinary load power supply interruption, , are the light abandonment and wind abandonment powers at the power grid node at the time period , , are the unit costs of light abandonment and wind abandonment, is the number of mobile energy storages sent from the traffic node to the traffic node at the time period , is the binary variable of the road through which the mobile energy storages are sent from the traffic node to the traffic node , is the length of the road , is the unit passage cost of the mobile energy storage, is the maximum power of the mobile energy storage at the power grid node at the time period , is the unit compensation cost of the mobile energy storage, is the actual travel time of the mobile energy storage on the road is the actual travel time of the mobile energy storage on the road is the actual travel time of the mobile energy storage on the road is the rated power of the mobile energy storage, is the unit load / output loss cost of the power grid during the configuration process of the mobile energy storage.

[0148] The constraint conditions of the forest grid optimization operation model under the forest fire scenario include mobile energy storage operation constraints, fixed energy storage operation constraints, renewable energy operation constraints, load operation constraints, and power grid operation constraints.

[0149] The mobile energy storage operation constraints include:

[0150] The actual travel time constraint of the mobile energy storage:

[0151] ;

[0152] The maximum power constraint of the mobile energy storage:

[0153] ;

[0154] The actual power constraint of the mobile energy storage:

[0155] ;

[0156] ;

[0157] The number of mobile energy storages constraint:

[0158] ;

[0159] In the above formula, is the actual travel time of the mobile energy storage on the road is the actual travel time of the mobile energy storage on the road is the actual travel time of the mobile energy storage on the road is the intensity of the forest fire at time is the intensity of the forest fire at time is the binary determination coefficient of whether the block is affected by the forest fire, when it is 1, the block is affected by the forest fire, otherwise it is not affected, is the influence factor of the forest fire on the traffic system, is the binary correlation coefficient of the block and the road , when it is 1, the block is related to the road , otherwise it is not related, is the regular travel time of the road at time is the regular travel time of the road at time is the regular travel time of the road time grid node maximum power of mobile energy storage at time period mobile energy storage amount from traffic node mobile energy storage amount sent to traffic node mobile energy storage amount sent to traffic node traffic node binary correlation coefficient of traffic node grid node, when it is 1, traffic node correlates with grid node, otherwise not rated power of single mobile energy storage time period grid node actual power of mobile energy storage at grid node, when it is not less than 0, it is in output state, when it is not greater than 0, it is in input state time period grid node binary working state variable of mobile energy storage at grid node, when it is 1, mobile energy storage is in output state, otherwise in input state M constant maximum mobile energy storage amount sent by traffic node in a typical day.

[0160] Fixed energy storage operation constraints include:

[0161] Fixed energy storage critical working state constraint, when the intensity of forest fire exceeds the critical value of the bearing capacity of fixed energy storage in the affected area, the fixed energy storage needs to be operated at reduced power to reduce the risk of energy storage thermal runaway:

[0162] ;

[0163] Maximum output state cumulative duration constraint of fixed energy storage:

[0164] ;

[0165] Actual power constraint of fixed energy storage:

[0166] ;

[0167] ;

[0168] Charge and discharge power balance constraint of fixed energy storage:

[0169] ;

[0170] State of charge constraint of fixed energy storage:

[0171] ​ ;

[0172] In the above formula, is the critical value of the fixed energy storage's ability to withstand the intensity of the fire, is the time period is the power grid node is the binary operating power state variable of the fixed energy storage at the power grid node, when it is 1 , the fixed energy storage at the power grid node needs to be operated at reduced power, otherwise at full power, is the time period is the intensity of the forest fire, is the block is the determination coefficient of whether the block is affected by the forest fire, is the block is the binary correlation coefficient of the block and the power grid node, when it is 1 , the block is related to the power grid node , otherwise it is not related, is the time period is the power grid node is the binary operating state variable of the fixed energy storage at the power grid node, when it is 1 , the fixed energy storage is in the output state, otherwise it is in the input state, is the maximum cumulative duration of the fixed energy storage in the output state within a typical day, is the set number of fixed energy storage at the power grid node , is the reduced power operating coefficient of the fixed energy storage, is the time period is the actual operating power of the fixed energy storage at the power grid node , when it is not less than 0, it is in the output state, when it is not greater than 0, it is in the input state, , are the lower limit and upper limit of the state of charge of the fixed energy storage, respectively, is the capacity of a single set of fixed energy storage, is the initial state of charge of the fixed energy storage, is the unit time, is any time period within , is the last time period of a typical day.

[0173] Both photovoltaic and wind power are considered as renewable energy sources. The smoke generated by forest fires can affect photovoltaic output, and the increase in environmental temperature can affect wind power output;

[0174] The renewable energy operation constraints include:

[0175] Consider the actual output constraint of photovoltaic under the influence of smoke:

[0176]

[0177]

[0178]

[0179] Consider the influence of ambient temperature on wind power output constraints:

[0180]

[0181]

[0182]

[0183]

[0184] Consider the actual output constraint of wind power under the influence of ambient temperature:

[0185]

[0186]

[0187]

[0188] In the above formula, is the time period is the maximum output of photovoltaic affected by smoke at the grid node is the intensity of forest fire at time period is the determination coefficient of whether the block is affected by forest fire, is the correlation coefficient of block and grid node is the influence coefficient of smoke on photovoltaic output, is the maximum output of photovoltaic at grid node when it is running normally at time period is the actual consumed power of photovoltaic at grid node is the unconsumed power of photovoltaic at grid node is the actual ambient temperature of forest area affected by forest fire at time period is the time period​​​​​​​​​​​​​​​​​​​ ambient temperature in the forest area not affected by the bushfire, ambient temperature rise caused by bushfire with unit intensity, time period binary decision factor of whether the wind power output is affected by high temperature, when it is 1, the wind power output is affected by high temperature, otherwise not affected by high temperature, M is a large constant, critical ambient temperature affecting wind power output, ambient temperature affecting coefficient of wind power output, time period grid node output drop of wind power affected by high temperature, time period grid node maximum output of wind power after being affected by high temperature, time period grid node maximum output of wind power in normal operation, time period grid node actual consumed power of wind power, time period grid node unconsumed power of wind power.

[0189] According to the importance of the load, the load is divided into A-class load and B-class load, wherein the A-class load has higher importance;

[0190] The load operation constraint includes:

[0191] Load demand constraint:

[0192] ;

[0193] ;

[0194] ;

[0195] Maximum load loss constraint:

[0196] ;

[0197] ;

[0198] Load loss duration constraint:

[0199] ;

[0200] ;

[0201] ;

[0202] ;

[0203] In the above formula, the A-type load is an important load, and the B-type load is a common load, 、 are the load demands of the A-type load and the B-type load at the power grid node at the time period , 、 are the actual loads of the A-type load and the B-type load at the power grid node at the time period , 、 are the loss-of-load powers of the A-type load and the B-type load at the power grid node at the time period , 、 are maximum load loss coefficients of the A-type load and the B-type load, 、 are binary loss-of-load state variables of the A-type load and the B-type load at the power grid node at the time period , and when the binary loss-of-load state variable is 1, the A-type load and the B-type load have a loss-of-load, and otherwise, the A-type load and the B-type load do not have a loss-of-load, is a large M constant, 、 are maximum loss-of-load durations of the A-type load and the B-type load in a typical day;

[0204] The power grid operation constraints include:

[0205] A power grid line connection state constraint, when the intensity of the mountain fire exceeds the resistance of the power grid line in the affected area, the power grid line is disconnected:

[0206] ;

[0207] A power balance constraint:

[0208] ;

[0209] A power grid line capacity constraint:

[0210] ;

[0211] In the above formula, is the resistance of the power grid line to the mountain fire at the block , is the length of the power grid line at the block . binary correlation coefficient of the block, when it is 1, the block is associated with the line , otherwise not associated, is the time period active power of the grid line , when it is 1, the grid line is connected, otherwise disconnected, is the time period intensity of the forest fire, is the block binary decision coefficient of whether the block is affected by the forest fire, when it is 1, the block is affected by the forest fire, otherwise not affected, is the time period active power of the grid line , is the grid line binary correlation coefficient of the grid line and the grid node , when it is 1, the grid line is associated with the grid node , otherwise not associated, is the time period actual power of the mobile energy storage at the grid node , when it is 1, the grid node is the actual operating power of the fixed energy storage at the grid node , is the time period actual power of the photovoltaic actually consumed at the grid node , is the time period actual power of the wind power actually consumed at the grid node , , is the time period actual load of the A-type load and the B-type load at the grid node , is the capacity of the grid line .

[0212] 2. Simulation and running based on the MATLAB / CPLEX platform are performed to solve the optimal operation model of the forest grid under the forest fire scenario, and the optimal operation strategy of the forest grid under the forest fire scenario is obtained, including the operation scheme of the source-load-storage of each node of the forest grid;

[0213] The parameter settings of the simulation platform hardware device are as follows: Intel Core i7-9750H, 32G RAM, 2.6GHz.

[0214] To verify the effectiveness of the scheme, strategy 2 and strategy 3 are introduced, and the strategy derived from the scheme is applied to the power-traffic coupled network of 12 block-18 distribution network nodes-16 traffic nodes as strategy 1 for comparison. Compared with strategy 1, the strategy 2 does not consider the targeted application of mobile energy storage in the forest fire scenario; the strategy 3 neither considers the application of mobile energy storage in the forest fire scenario, nor considers various situations that will affect the forest power grid in the forest fire scenario. The comprehensive operation cost comparison of the three strategies is shown in Table 1;

[0215] Table 1 Operation cost table of two strategies

[0216] ;

[0217] The loss of load cost, light and wind curtailment cost, mobile energy storage cost and comprehensive operation cost when the three strategies are adopted are listed in Table 1. From Table 1, it can be seen that compared with strategy 2 and strategy 3, strategy 1 generates more mobile energy storage cost of Yuan per year, but the loss of load cost is reduced by 24.51% compared with strategy 2 and 25.76% compared with strategy 3, the light and wind curtailment cost is reduced by 46.15% compared with strategy 2 and 53.82% compared with strategy 3. In terms of comprehensive operation cost, the adoption of strategy 1 reduces the comprehensive operation cost by 18.60% compared with strategy 2 and 24.50% compared with strategy 3. The above results show that the optimization operation strategy of forest power grid in forest fire scenario proposed in the scheme achieves the full use of mobile energy storage, and reduces the system power interruption cost and the effect of reducing light and wind curtailment.

[0218] Embodiment 2:

[0219] As shown in Figure 7 , a forest power grid optimization operation system in a forest fire scenario includes an operation model construction module and an operation model solving module.

[0220] The operation model construction module is used to construct an optimization operation model of forest power grid in a forest fire scenario, which considers the influence of smoke and high temperature in the forest fire scenario on power grid lines, traffic networks and renewable energy output, and fully utilizes mobile energy storage resources.

[0221] The operation model solving module is used to solve the optimization operation model of forest power grid in a forest fire scenario to obtain the optimization operation strategy of forest power grid in a forest fire scenario, including the operation scheme of source-load-storage of each node of forest power grid.

[0222] The operation model construction module includes a target function construction unit.

[0223] The target function construction unit is used to construct the target function of the optimization operation model of forest power grid in a forest fire scenario as follows:

[0224] ;

[0225] ;

[0226] ;

[0227] ;

[0228] ;

[0229] ;

[0230] ;

[0231] In the above formula, is the cost of power supply interruption for important loads, is the cost of power supply interruption for ordinary loads, is the cost of light abandonment, is the cost of wind abandonment, is the cost of mobile energy storage usage, is the cost of load / output loss of the power grid during the mobile energy storage configuration process, is the number of days affected by forest fires, , are the important load power and ordinary load power of the power grid node interrupted at time period , is the unit time length, , are the unit penalty costs of important load and ordinary load power supply interruption, , are the abandoned light and wind power of the power grid node at time period , , are the unit costs of abandoned light and wind, is the number of mobile energy storages sent from traffic node to traffic node at time period , is a binary variable of the road through which the mobile energy storage is sent from traffic node to traffic node , is the length of the road , is the unit passage cost of the mobile energy storage, is the maximum power of the mobile energy storage at the power grid node at time period , The unit replenishment cost for mobile energy storage, For time period Mobile energy storage on roads The actual travel time on the road This refers to the rated power of a single mobile energy storage unit. The unit load / output loss cost of the power grid during the configuration of mobile energy storage.

[0232] The operation model construction module also includes a mobile energy storage operation constraint construction unit, a fixed energy storage operation constraint construction unit, a renewable energy operation constraint construction unit, a load operation constraint construction unit, and a power grid operation constraint construction unit;

[0233] The mobile energy storage operation constraint construction unit is used to construct the mobile energy storage operation constraints for the optimized operation model of the forest power grid under the following wildfire scenario:

[0234] ;

[0235] ;

[0236] ;

[0237] ;

[0238] ;

[0239] In the above formula, For time period Mobile energy storage on roads The actual travel time on the road For time period The intensity of the wildfire at that time For blocks The coefficient for determining whether or not the area is affected by wildfires. Factors influencing the impact of wildfires on transportation systems. For blocks With roads The correlation coefficient, For time period Road The usual passage time, For time period Time grid node The maximum power of mobile energy storage For time period From traffic nodes Dispatch to traffic nodes The number of mobile energy storage devices, For traffic nodes With grid nodes The correlation coefficient, This refers to the rated power of a single mobile energy storage unit. For time period Time grid node The actual power of mobile energy storage For time period Time grid node The working state variables of mobile energy storage For the large M constant, As a typical intraday traffic node The maximum number of mobile energy storage units that can be deployed.

[0240] The fixed energy storage operation constraint construction unit is used to construct the fixed energy storage operation constraints of the forest power grid optimization operation model under the following wildfire scenario:

[0241] ;

[0242] ;

[0243] ;

[0244] ;

[0245] ;

[0246] ;

[0247] In the above formula, To determine the critical value of the fixed energy storage's ability to withstand fire intensity. For time period Time grid node The operating power state variable of fixed energy storage. For time period The intensity of the wildfire at that time For blocks The coefficient for determining whether or not the area is affected by wildfires. For blocks With grid nodes The correlation coefficient, For time period Time grid node The working state variables of fixed energy storage This represents the maximum cumulative duration during which a typical fixed energy storage system is in an output state within a day. For each fixed energy storage unit operating at full power, For power grid nodes The number of fixed energy storage units. To reduce the power consumption of fixed energy storage, For time period Time grid node The actual operating power of the fixed energy storage , These are the lower and upper limits of the fixed state of charge for energy storage, respectively. For the capacity of a single stationary energy storage unit, To fix the initial state of charge of energy storage, For unit duration, for At any time during the period, This refers to the final period of a typical day.

[0248] The renewable energy operation constraint construction unit is used to construct the renewable energy operation constraints for the optimized operation model of the forest power grid under the following wildfire scenario:

[0249] ;

[0250] ;

[0251] ;

[0252] ;

[0253] ;

[0254] ;

[0255] ;

[0256] ;

[0257] ;

[0258] ;

[0259] In the above formula, For time period Time grid node The maximum output of the photovoltaic system after being affected by smog For time period The intensity of the wildfire at that time For blocks The coefficient for determining whether or not the area is affected by wildfires. For blocks With grid nodes The correlation coefficient, The coefficient representing the impact of smoke on photovoltaic power output. For time period Time grid node At the maximum output during normal photovoltaic operation, for the time period at the power grid node at which the power actually absorbed by the photovoltaic, for the time period at the power grid node at which the power not absorbed by the photovoltaic, for the time period at which the actual ambient temperature of the forest area affected by the forest fire, for the time period at which the ambient temperature of the forest area not affected by the forest fire, for the unit intensity of the forest fire, for the time period whether the wind power output is affected by high temperature, for the large M constant, for the critical ambient temperature affecting the wind power output, for the influence coefficient of ambient temperature on wind power output, for the time period at the power grid node at which the wind power output is reduced due to high temperature, for the time period at the power grid node at which the maximum wind power output after being affected by high temperature, for the time period at the power grid node at which the maximum wind power output when the wind power is normally running, for the time period at the power grid node at which the power actually absorbed by the wind power, for the time period at the power grid node at which the power not absorbed by the wind power.

[0260] The load operation constraint construction unit is configured to construct a load operation constraint of a forest area power grid optimization operation model under a forest fire scenario as follows:

[0261] ;

[0262] ;

[0263] ;

[0264] ;

[0265] ;

[0266] ;

[0267] ;

[0268] ;

[0269] ;

[0270] In the above formula, Class A loads are important loads, and Class B loads are ordinary loads. , Time periods Time grid node The load demand for Class A and Class B loads, , Time periods Time grid node The actual load of Class A and Class B loads , Time periods Time grid node The power loss of Class A and Class B loads. , These are the maximum load loss factors for Class A and Class B loads, respectively. , For time period Time grid node The unload state variables for Class A and Class B loads For the large M constant, , These represent the maximum unload duration for Class A and Class B loads within a typical day.

[0271] The power grid operation constraint construction unit is used to construct the power grid operation constraints for the optimized operation model of the forest power grid under the following wildfire scenario:

[0272] ;

[0273] ;

[0274] ;

[0275] In the above formula, For blocks The resistance of power grid lines to wildfires, For blocks With the line The correlation coefficient, For time period Power grid lines The communication state variable, For time period The intensity of the wildfire at that time For blocks The coefficient for determining whether or not the area is affected by wildfires. For time period Power grid lines active power, For power grid lines With grid nodes The correlation coefficient, For time period Time grid node The actual power of mobile energy storage For time period Time grid node The actual operating power of the fixed energy storage For time period Time grid node The actual power absorbed by photovoltaic power. For time period Time grid node The actual power absorbed by wind power. , Time periods Time grid node The actual load of Class A and Class B loads For power grid lines The capacity.

Claims

1. A method for optimizing the operation of power grids in forest areas under wildfire scenarios, characterized in that, The method includes: S1. Construct an optimized operation model for the power grid in forest areas under wildfire scenarios. This model considers the impact of smoke and high temperatures generated under wildfire scenarios on power grid lines, transportation networks, and renewable energy output, and makes full use of mobile energy storage resources. S2. Solve the forest power grid optimization operation model under the wildfire scenario to obtain the optimization operation strategy of the forest power grid under the wildfire scenario, including the operation scheme of source-load-storage of each node of the forest power grid.

2. The method for optimizing the operation of a forest power grid under a wildfire scenario according to claim 1, characterized in that, In S1, the objective function of the forest power grid optimization operation model under the wildfire scenario includes: ； ； ； ； ； ； ； In the above formula, Costs of power outages for critical loads Cost of power outage for normal loads To cover the cost of light curtailment, For the cost of wind curtailment, For the cost of using mobile energy storage, The cost of grid load / output loss during the configuration of mobile energy storage. The number of days affected by the wildfires. , Time periods Time grid node Important load power and ordinary load power that are interrupted in power supply For unit duration, , The unit penalty cost for power outages affecting critical loads and ordinary loads, respectively. , Time periods Time grid node The power of curtailed solar and wind power, , The unit cost of curtailing solar and wind power, For time period From traffic nodes Dispatch to transportation nodes The number of mobile energy storage devices, To start from traffic nodes Dispatch to transportation nodes The binary variables of the mobile energy storage pathway. For roads Length, The unit cost of travel for mobile energy storage, For time period Time grid node The maximum power of mobile energy storage The unit replenishment cost for mobile energy storage, For time period Mobile energy storage on roads The actual travel time on the road This refers to the rated power of a single mobile energy storage unit. The unit load / output loss cost of the power grid during the configuration of mobile energy storage.

3. The method for optimizing the operation of a forest power grid under a wildfire scenario according to claim 1, characterized in that, In S1, the constraints of the forest power grid optimization operation model under the wildfire scenario include mobile energy storage operation constraints and fixed energy storage operation constraints. The operational constraints of the mobile energy storage include: ； ； ； ； ； In the above formula, For time period Mobile energy storage on roads The actual travel time on the road For time period The intensity of the wildfire at that time For blocks The coefficient for determining whether or not the area is affected by wildfires. Factors influencing the impact of wildfires on transportation systems. For blocks With roads The correlation coefficient, For time period Road The usual passage time, For time period Time grid node The maximum power of mobile energy storage For time period From traffic nodes Dispatch to transportation nodes The number of mobile energy storage devices, For traffic nodes With grid nodes The correlation coefficient, This refers to the rated power of a single mobile energy storage unit. For time period Time grid node The actual power of mobile energy storage For time period Time grid node The working state variables of mobile energy storage For the large M constant, As a typical intraday traffic node The maximum number of mobile energy storage units that can be deployed; The operational constraints of the stationary energy storage include: ； ； ； ； ； ； In the above formula, To determine the critical value of the fixed energy storage's ability to withstand fire intensity. For time period Time grid node The operating power state variable of fixed energy storage. For time period The intensity of the wildfire at that time For blocks The coefficient for determining whether or not the area is affected by wildfires. For blocks With grid nodes The correlation coefficient, For time period Time grid node The working state variables of fixed energy storage This represents the maximum cumulative duration during which a typical fixed energy storage system is in an output state within a day. For each fixed energy storage unit operating at full power, For power grid nodes The number of fixed energy storage units. The power reduction operating factor for fixed energy storage For time period Time grid node The actual operating power of the fixed energy storage , These are the lower and upper limits of the fixed state of charge for energy storage, respectively. For the capacity of a single stationary energy storage unit, For fixed energy storage, the initial state of charge, For unit duration, for At any time during the period, This refers to the final period of a typical day.

4. The method for optimizing the operation of a forest power grid under a wildfire scenario according to claim 1, characterized in that, In S1, the constraints of the forest power grid optimization operation model under the wildfire scenario also include renewable energy operation constraints; The operating constraints of the renewable energy sources include: ； ； ； ； ； ； ； ； ； ； In the above formula, For time period Time grid node The maximum output of the photovoltaic system after being affected by smog For time period The intensity of the wildfire at that time For blocks The coefficient for determining whether or not the area is affected by wildfires. For blocks With grid nodes The correlation coefficient, The coefficient representing the impact of smoke on photovoltaic power output. For time period Time grid node At the maximum output during normal photovoltaic operation, For time period Time grid node The actual power absorbed by photovoltaic power. For time period Time grid node The unabsorbed power of photovoltaic power, For time period The actual ambient temperature in the forest area affected by the wildfire For time period The ambient temperature in the forest area unaffected by the wildfires was... The increase in ambient temperature caused by wildfires of unit intensity. For time period Factors for determining whether wind power output is affected by high temperatures. For the large M constant, The critical ambient temperature that affects wind power output. This is the coefficient representing the influence of ambient temperature on wind power output. For time period Time grid node The power output of wind power plants has decreased due to high temperatures. For time period Time grid node The maximum output of wind power after being affected by high temperatures For time period Time grid node The maximum output of the wind power plant during normal operation. For time period Time grid node The actual power absorbed by wind power. For time period Time grid node The unused power of wind power.

5. The method for optimizing the operation of a forest power grid under a wildfire scenario according to claim 1, characterized in that, In S1, the constraints of the forest power grid optimization operation model under the wildfire scenario also include load operation constraints and power grid operation constraints; The load operation constraints include: ； ； ； ； ； ； ； ； ； In the above formula, Class A loads are important loads, and Class B loads are ordinary loads. , Time periods Time grid node The load demand for Class A and Class B loads, , Time periods Time grid node The actual load of Class A and Class B loads , Time periods Time grid node The power loss of Class A and Class B loads. , These are the maximum load loss factors for Class A and Class B loads, respectively. , For time period Time grid node The unload state variables for Class A and Class B loads, For the large M constant, , These represent the maximum load shedding duration for Class A and Class B loads within a typical day. The power grid operation constraints include: ； ； ； In the above formula, For blocks The resistance of power grid lines to wildfires, For blocks With the line The correlation coefficient, For time period Power grid lines The communication state variable, For time period The intensity of the wildfire at that time For blocks The coefficient for determining whether or not the area is affected by wildfires. For time period Power grid lines active power, For power grid lines With grid nodes The correlation coefficient, For time period Time grid node The actual power of mobile energy storage For time period Time grid node The actual operating power of the fixed energy storage For time period Time grid node The actual power absorbed by photovoltaic power. For time period Time grid node The actual power absorbed by wind power. , Time periods Time grid node The actual load of Class A and Class B loads For power grid lines The capacity.

6. A forest power grid optimization operation system under wildfire scenarios, characterized in that, The system includes a runtime model construction module and a runtime model solving module; The operation model construction module is used to construct an optimized operation model for the power grid in forest areas under wildfire scenarios. This model considers the impact of smoke and high temperatures generated under wildfire scenarios on power grid lines, transportation networks and renewable energy output, and makes full use of mobile energy storage resources. The operation model solving module is used to solve the optimized operation model of the forest power grid under the wildfire scenario, and obtain the optimized operation strategy of the forest power grid under the wildfire scenario, including the operation scheme of source-load-storage of each node of the forest power grid.

7. A forest power grid optimization operation system under wildfire scenarios according to claim 6, characterized in that, The runtime model construction module includes an objective function construction unit; The objective function construction unit is used to construct the objective function of the forest power grid optimization operation model under the following wildfire scenario: ； ； ； ； ； ； ； In the above formula, Costs of power outages for critical loads Cost of power outage for normal loads To cover the cost of light curtailment, For the cost of wind curtailment, For the cost of using mobile energy storage, The cost of grid load / output loss during the configuration of mobile energy storage. The number of days affected by the wildfires. , Time periods Time grid node Important load power and ordinary load power that are interrupted in power supply For unit duration, , The unit penalty cost for power outages affecting critical loads and ordinary loads, respectively. , Time periods Time grid node The power of curtailed solar and wind power, , The unit cost of curtailing solar and wind power, For time period From traffic nodes Dispatch to transportation nodes The number of mobile energy storage devices, To start from traffic nodes Dispatch to transportation nodes The binary variables of the mobile energy storage pathway. For roads Length, The unit cost of travel for mobile energy storage, For time period Time grid node The maximum power of mobile energy storage The unit replenishment cost for mobile energy storage, For time period Mobile energy storage on roads The actual travel time on the road This refers to the rated power of a single mobile energy storage unit. The unit load / output loss cost of the power grid during the configuration of mobile energy storage.

8. A forest power grid optimization operation system under wildfire scenarios according to claim 6, characterized in that, The operation model construction module also includes a mobile energy storage operation constraint construction unit and a fixed energy storage operation constraint construction unit; The mobile energy storage operation constraint construction unit is used to construct the mobile energy storage operation constraints for the optimized operation model of the forest power grid under the following wildfire scenario: ； ； ； ； ； In the above formula, For time period Mobile energy storage on roads The actual travel time on the road For time period The intensity of the wildfire at that time For blocks The coefficient for determining whether or not the area is affected by wildfires. Factors influencing the impact of wildfires on transportation systems. For blocks With roads The correlation coefficient, For time period Road The usual passage time, For time period Time grid node The maximum power of mobile energy storage For time period From traffic nodes Dispatch to transportation nodes The number of mobile energy storage devices, For traffic nodes With grid nodes The correlation coefficient, This refers to the rated power of a single mobile energy storage unit. For time period Time grid node The actual power of mobile energy storage For time period Time grid node The working state variables of mobile energy storage For the large M constant, As a typical intraday traffic node The maximum number of mobile energy storage units that can be deployed; The fixed energy storage operation constraint construction unit is used to construct the fixed energy storage operation constraints of the forest power grid optimization operation model under the following wildfire scenario: ； ； ； ； ； ； In the above formula, To determine the critical value of the fixed energy storage's ability to withstand fire intensity. For time period Time grid node The operating power state variable of fixed energy storage. For time period The intensity of the wildfire at that time For blocks The coefficient for determining whether or not the area is affected by wildfires. For blocks With grid nodes The correlation coefficient, For time period Time grid node The working state variables of fixed energy storage This represents the maximum cumulative duration during which a typical fixed energy storage system is in an output state within a day. For each fixed energy storage unit operating at full power, For power grid nodes The number of fixed energy storage units. The power reduction operating factor for fixed energy storage For time period Time grid node The actual operating power of the fixed energy storage , These are the lower and upper limits of the fixed state of charge for energy storage, respectively. For the capacity of a single stationary energy storage unit, For fixed energy storage, the initial state of charge, For unit duration, for At any time during the period, This refers to the final period of a typical day.

9. A forest power grid optimization operation system under wildfire scenarios according to claim 6, characterized in that, The operation model construction module also includes a renewable energy operation constraint construction unit; The renewable energy operation constraint construction unit is used to construct the renewable energy operation constraints for the optimized operation model of the forest power grid under the following wildfire scenario: ； ； ； ； ； ； ； ； ； ； In the above formula, For time period Time grid node The maximum output of the photovoltaic system after being affected by smog For time period The intensity of the wildfire at that time For blocks The coefficient for determining whether or not the area is affected by wildfires. For blocks With grid nodes The correlation coefficient, The coefficient representing the impact of smoke on photovoltaic power output. For time period Time grid node At the maximum output during normal photovoltaic operation, For time period Time grid node The actual power absorbed by photovoltaic power. For time period Time grid node The unabsorbed power of photovoltaic power, For time period The actual ambient temperature in the forest area affected by the wildfire For time period The ambient temperature in the forest area unaffected by the wildfires was... The increase in ambient temperature caused by wildfires of unit intensity. For time period Factors for determining whether wind power output is affected by high temperatures. For the large M constant, The critical ambient temperature that affects wind power output. This is the coefficient representing the influence of ambient temperature on wind power output. For time period Time grid node The power output of wind power plants has decreased due to high temperatures. For time period Time grid node The maximum output of wind power after being affected by high temperatures For time period Time grid node The maximum output of the wind power plant during normal operation. For time period Time grid node The actual power absorbed by wind power. For time period Time grid node The unused power of wind power.

10. A forest power grid optimization operation system under wildfire scenarios according to claim 6, characterized in that, The operation model construction module also includes a load operation constraint construction unit and a power grid operation constraint construction unit; The load operation constraint construction unit is used to construct the load operation constraints of the forest power grid optimization operation model under the following wildfire scenario: ； ； ； ； ； ； ； ； ； In the above formula, Class A loads are important loads, and Class B loads are ordinary loads. , Time periods Time grid node The load demand for Class A and Class B loads, , Time periods Time grid node The actual load of Class A and Class B loads , Time periods Time grid node The power loss of Class A and Class B loads. , These are the maximum load loss factors for Class A and Class B loads, respectively. , For time period Time grid node The unload state variables for Class A and Class B loads, For the large M constant, , These represent the maximum load shedding duration for Class A and Class B loads within a typical day. The power grid operation constraint construction unit is used to construct the power grid operation constraints for the optimized operation model of the forest power grid under the following wildfire scenario: ； ； ； In the above formula, For blocks The resistance of power grid lines to wildfires, For blocks With the line The correlation coefficient, For time period Power grid lines The communication state variable, For time period The intensity of the wildfire at that time For blocks The coefficient for determining whether or not the area is affected by wildfires. For time period Power grid lines active power, For power grid lines With grid nodes The correlation coefficient, For time period Time grid node The actual power of mobile energy storage For time period Time grid node The actual operating power of the fixed energy storage For time period Time grid node The actual power absorbed by photovoltaic power. For time period Time grid node The actual power absorbed by wind power. , Time periods Time grid node The actual load of Class A and Class B loads For power grid lines The capacity.

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