Method and apparatus for regulating and controlling energy stored by power distribution network in participating in power supply restoration of loads in disaster area, terminal device, and storage medium

Abstract

Disclosed in the present invention are a method and apparatus for regulating and controlling energy stored by a power distribution network in participating in power supply restoration of loads in a disaster area, a terminal device, and a storage medium. The method comprises: on the basis of acquired typhoon disaster area data, power distribution network state data and power distribution network energy storage data, constructing a disaster area load power supply restoration optimization model with the objectives of minimizing a disaster area power distribution network frequency deviation and power distribution network energy storage frequency modulation power, and constructing a stationary energy storage station power constraint, a mobile energy storage vehicle power constraint, a grid-connected point voltage constraint, and an active power exchange constraint; under the constructed constraints, solving for the disaster area load power supply restoration optimization model, so as to generate the proportion of loads borne by the energy stored by a power distribution network when the disaster area power distribution network frequency deviation and the power distribution network energy storage frequency modulation power are minimum; and on the basis of the proportion of the loads borne by the energy stored by the power distribution network, performing regulation and control again on the energy stored by the power distribution network in participating in power supply restoration of the loads in a disaster area. By implementing the present invention, the energy stored by the power distribution network in participating in power supply restoration of the loads in the disaster area is regulated and controlled.

Description

A power distribution network energy storage participates in disaster area load restoration regulation method and device, terminal equipment and storage medium TECHNICAL FIELD

[0001] The present application relates to the field of power system and its automation, in particular to a kind of power distribution network energy storage participates in disaster area load restoration regulation method, device, terminal equipment and storage medium. BACKGROUND

[0002] The power distribution network structure is complex, including many devices, in the process of production, transmission and distribution of electric energy, due to natural disasters and power element failure, any link failure will lead to power failure. As the network directly connected with the user and directly supplying power to the user, the stability of the power distribution network has the most direct influence on the user. Since the power distribution network is designed in closed loop and operated in open loop, when a branch in the power distribution network fails, the downstream area is all powered off. Power supply recovery is to supply power to the non-fault area after fault detection and isolation. In the traditional power distribution network, power supply recovery is mostly manually operated according to experience. However, if the disaster area has too much load, there will be a great risk of overload on the tie line or its upstream line, which will lead to protection action, further expanding the disaster area power failure range. In the traditional power supply recovery, the network is reconstructed by opening and closing appropriate switches to recover the non-fault area. When the key branch fails, the power supply capacity of the power distribution network decreases significantly, and it is impossible to supply power to all loads, so it is inevitable to stop supplying part of the load.

[0003] Therefore, how to realize the regulation and control of power distribution network energy storage participating in disaster area load restoration has become a problem to be solved. SUMMARY

[0004] The embodiment of the present application provides a kind of power distribution network energy storage participates in disaster area load restoration regulation method, device, terminal equipment and storage medium, can effectively realize the regulation and control of power distribution network energy storage participating in disaster area load restoration.

[0005] An embodiment of the present application provides a kind of power distribution network energy storage participates in disaster area load restoration regulation method, comprising:

[0006] Obtain typhoon disaster area data, power distribution network state data and power distribution network energy storage data;

[0007] According to the typhoon disaster area data, the power distribution network state data and the power distribution network energy storage data, the frequency deviation of the disaster area power distribution network and the minimum power of the power distribution network energy storage frequency modulation are taken as the target, and the disaster area load restoration optimization model is constructed;

[0008] constructing, according to the power grid state data and the power grid energy storage data, a fixed energy storage station power constraint, a mobile energy storage vehicle power constraint, a grid-connected point voltage constraint and an exchanged active power constraint of the disaster area load restoration optimization model;

[0009] solving the disaster area load restoration optimization model under the constraint of the fixed energy storage station power constraint, the mobile energy storage vehicle power constraint, the grid-connected point voltage constraint and the exchanged active power constraint, to generate a proportion of power grid energy storage assuming load at a minimum of a disaster area power grid frequency deviation and a power grid energy storage frequency modulation power;

[0010] According to the proportion of the power grid energy storage assuming load, the power grid energy storage participating in the disaster area load restoration is re-regulated.

[0011] Further, the typhoon disaster area data includes: the number of typhoon disaster areas, the number of typhoon disaster area power lines, the load power influence coefficient of the typhoon disaster area power line and the load power of the disaster area power line when the typhoon is approaching;

[0012] The power grid state data includes: power grid load unit regulation power, real-time number of energy storage devices in the power grid, real-time charging duration of the energy storage devices in the power grid, actual value of the power grid and the main grid grid-connected point voltage, maximum allowable value of the power grid and the main grid grid-connected point voltage, minimum allowable value of the power grid and the main grid grid-connected point voltage, power line load power and power loss probability of the load power in the power grid;

[0013] The power grid energy storage data includes: energy storage unit regulation power participating in secondary frequency modulation, energy storage quantity, energy storage proportion assuming historical load, energy storage charging power historical average value, energy storage discharging power historical average value, energy storage charging power real-time average value, energy storage discharging power real-time average value, energy storage device charging historical active power, historical number of energy storage devices, historical charging duration of energy storage devices, maximum allowable value of energy storage output active power, minimum allowable value of energy storage output active power, maximum allowable value of energy storage output reactive power, minimum allowable value of energy storage output reactive power, actual value of energy storage output active power, actual value of energy storage output reactive power, power grid energy storage charging state variable and power grid energy storage discharging state variable.

[0014] Further, the disaster area load restoration optimization model is:

[0015] Where, Δf represents the frequency deviation of the disaster area power grid; represents the power grid energy storage frequency modulation power; P FL represents the power loss of the power line fault; ΔP A represents the frequency modulation power offset of the power grid; K Drepresents the unit regulation power of the i th power distribution network load; K FESi represents the unit regulation power of the i th energy storage power station participating in secondary frequency modulation; K SESi represents the unit regulation power of the i th mobile energy storage vehicle participating in secondary frequency modulation; K SCi represents the unit regulation power of the i th mobile diesel vehicle participating in secondary frequency modulation; N FES represents the number of energy storage power stations; N SES represents the number of mobile energy storage vehicles; N SC represents the number of mobile diesel vehicles; represents the proportion of energy storage in the i th power distribution network in the t th time period to bear historical load; represents the historical average value of the charging power of the energy storage in the i th power distribution network in the t th time period; represents the historical average value of the discharging power of the energy storage in the i th power distribution network in the t th time period; represents the proportion of energy storage in the i th power distribution network in the t th time period to bear real-time load; represents the real-time average value of the charging power of the energy storage in the i th power distribution network in the t th time period; represents the real-time average value of the discharging power of the energy storage in the i th power distribution network in the t th time period; represents the predicted value of the charging power of the energy storage in the i th power distribution network in the t+1 th time period; represents the proportion of energy storage in the i th power distribution network in the t+1 th time period to bear predicted load; represents the predicted value of the discharging power of the energy storage in the i th power distribution network in the t+1 th time period.

[0016] Further, the calculation of the power loss of the power distribution line due to failure includes:

[0017] The power loss of the power distribution line due to failure is obtained by multiplying the probability of power loss of the power distribution network under the influence of a typhoon, the influence coefficient of the typhoon on the load of the power distribution network, and the load power of the disaster area power distribution network when the typhoon is approaching;

[0018] The calculation of the load power of the disaster area power distribution network when the typhoon is approaching includes:

[0019] The load power of the disaster area power distribution network when the typhoon is approaching is calculated by the following formula:

[0020] where P FD represents the load power of the disaster area power distribution network when the typhoon is approaching; N Q represents the number of typhoon disaster areas; N L represents the number of power distribution lines in the typhoon disaster area; k FDkl represents the influence coefficient of the typhoon wind speed on the load power of the l th power distribution line in the k th typhoon disaster area; P FDklP (k, l, t) represents the load power of the kth typhoon disaster area of the lth distribution line when a typhoon approaches.

[0021] Further, the matrix corresponding to the energy storage charging power historical average value is:

[0022] The matrix corresponding to the energy storage charging power real-time average value is:

[0023] The matrix corresponding to the energy storage charging power prediction value is:

[0024] Wherein, P (i, t) represents the historical active power of the energy storage device charging in the ith distribution network in the tth period; N (i, t) represents the historical number of energy storage devices in the ith distribution network in the tth period; T (i, t) represents the historical charging time length of the energy storage device in the ith distribution network in the tth period; P (i, t) represents the real-time active power of the energy storage device charging in the ith distribution network; N (i, t) represents the real-time number of energy storage devices in the ith distribution network; T (i, t) represents the real-time charging time length of the energy storage device in the ith distribution network; P (i, t+1) represents the predicted active power of the energy storage device charging in the ith distribution network in the t+1th period; N (i, t+1) represents the predicted number of energy storage devices in the ith distribution network in the t+1th period; T (i, t+1) represents the predicted charging time length of the energy storage device in the ith distribution network in the t+1th period.

[0025] Further, the fixed energy storage station power constraint is:

[0026] Wherein, P (k, n) represents the maximum allowed value of the active power output by the nth fixed energy storage station in the distribution network region k; P FSEkn P (k, n) represents the minimum allowed value of the active power output by the nth fixed energy storage station in the distribution network region k; Q (k, n) represents the maximum allowed value of the reactive power output by the nth fixed energy storage station in the distribution network region k; Q FAEkn Q (k, n) represents the minimum allowed value of the reactive power output by the nth fixed energy storage station in the distribution network region k; P FSEkn P (k, n) represents the actual value of the active power output by the nth fixed energy storage station in the distribution network region k; Q FSEkn Q (k, n) represents the actual value of the reactive power output by the nth fixed energy storage station in the distribution network region k;

[0027] The mobile energy storage vehicle power constraint is:

[0028] wherein, denotes the maximum allowed value of the active power output by the nth stationary energy storage station in the distribution network region k; P SSEkn denotes the minimum allowed value of the active power output by the nth stationary energy storage station in the distribution network region k; P denotes the maximum allowed value of the reactive power output by the nth stationary energy storage station in the distribution network region k; Q SSEkn denotes the minimum allowed value of the reactive power output by the nth stationary energy storage station in the distribution network region k; P SSEkn denotes the actual value of the active power output by the nth mobile energy storage station in the distribution network region k; Q SSEkn denotes the actual value of the reactive power output by the nth mobile energy storage station in the distribution network region k;

[0029] The grid-connected point voltage constraint is:

[0030] wherein, denotes the maximum allowed value of the grid-connected point voltage of the ith distribution network and the main network; V Mit denotes the minimum allowed value of the grid-connected point voltage of the ith distribution network and the main network; V Mit denotes the actual value of the grid-connected point voltage of the ith distribution network and the main network;

[0031] The exchanged active power constraint is:

[0032] wherein, denotes the maximum allowed value of the probability of the active power injected by the ith distribution network into the main network; p M-D denotes the minimum allowed value of the probability of the active power injected by the ith distribution network into the main network; P M-D denotes the active power exchanged by the ith distribution network with the main network in the tth time period; P PVit denotes the active power output by the photovoltaic power generation system of the ith distribution network in the tth time period; P EVit denotes the active power of the electric vehicle charging of the ith distribution network in the tth time period; P DSit denotes the active power of the energy storage device charging of the ith distribution network in the tth time period; P Eit denotes the active power of the electric load power of the ith distribution network in the tth time period; P Hit denotes the active power of the heat load power of the ith distribution network in the tth time period; P Cit denotes the active power of the cold load power of the ith distribution network in the tth time period; k EVit denotes the electric vehicle charging state variable; k DSit denotes the energy storage device charging state variable; P XPVitPmin,i,t represents the minimum value of the active power output by the photovoltaic power generation system of the ith power distribution network in the tth time period; P APVit Pmean,i,t represents the average value of the active power output by the photovoltaic power generation system of the ith power distribution network in the tth time period; P DPVit Pmax,i,t represents the maximum value of the active power output by the photovoltaic power generation system of the ith power distribution network in the tth time period; T XPVi Tmin,i represents the time period of the minimum value of the active power output by the photovoltaic power generation system of the ith power distribution network; T APVi Tmean,i represents the time period of the average value of the active power output by the photovoltaic power generation system of the ith power distribution network; T DPVi Tmax,i represents the time period of the maximum value of the active power output by the photovoltaic power generation system of the ith power distribution network.

[0033] As an improvement of the above-mentioned scheme, another embodiment of the present application correspondingly provides a power distribution network energy storage participating in disaster area load restoration regulation and control device, comprising:

[0034] A power distribution network data acquisition module is configured to acquire typhoon disaster area data, power distribution network state data, and power distribution network energy storage data.

[0035] An optimization model construction module is configured to construct a disaster area load restoration optimization model with the minimum disaster area power distribution network frequency deviation and power distribution network energy storage frequency regulation power as the target according to the typhoon disaster area data, the power distribution network state data, and the power distribution network energy storage data.

[0036] A model constraint construction module is configured to construct fixed energy storage station power constraints, mobile energy storage vehicle power constraints, grid-connected point voltage constraints, and exchanged active power constraints of the disaster area load restoration optimization model according to the power distribution network state data and the power distribution network energy storage data.

[0037] A model solution module is configured to solve the disaster area load restoration optimization model under the constraints of the fixed energy storage station power constraints, the mobile energy storage vehicle power constraints, the grid-connected point voltage constraints, and the exchanged active power constraints, and generate the proportion of power distribution network energy storage load bearing when the disaster area power distribution network frequency deviation and the power distribution network energy storage frequency regulation power are minimized.

[0038] A power distribution network regulation and control module is configured to regulate and control the power distribution network energy storage participating in disaster area load restoration according to the proportion of power distribution network energy storage load bearing.

[0039] Further, the typhoon disaster area data includes the number of typhoon disaster areas, the number of power distribution lines in the typhoon disaster area, the power distribution line load power influence coefficient in the typhoon disaster area, and the load power of the disaster area power distribution line when the typhoon is approaching.

[0040] The power distribution network state data comprises: power distribution network load unit regulation power, real-time number of energy storage devices in the power distribution network, real-time charging duration of the energy storage devices in the power distribution network, actual value of the power distribution network and main network grid-connected point voltage, maximum allowable value of the power distribution network and main network grid-connected point voltage, minimum allowable value of the power distribution network and main network grid-connected point voltage, power distribution line load power and load power loss probability in the power distribution network.

[0041] The power distribution network energy storage data comprises: energy storage unit regulation power participating in secondary frequency modulation, energy storage quantity, proportion of energy storage bearing historical load, historical average value of energy storage charging power, historical average value of energy storage discharging power, real-time average value of energy storage charging power, real-time average value of energy storage discharging power, energy storage device historical active power, energy storage device historical quantity, energy storage device historical charging duration, maximum allowable value of energy storage output active power, minimum allowable value of energy storage output active power, maximum allowable value of energy storage output reactive power, minimum allowable value of energy storage output reactive power, actual value of energy storage output active power, actual value of energy storage output reactive power, power distribution network energy storage charging state variable and power distribution network energy storage discharging state variable.

[0042] Another embodiment of the present application provides a terminal device, comprising a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, and the processor implements a power distribution network energy storage participating in disaster area load power restoration regulation method as described in the above embodiments when executing the computer program.

[0043] Another embodiment of the present application provides a computer readable storage medium, comprising a stored computer program, wherein the computer readable storage medium controls the device where the computer readable storage medium is located to execute the power distribution network energy storage participating in disaster area load power restoration regulation method as described in the above embodiments when the computer program runs.

[0044] By implementing the present application, at least the following beneficial effects are achieved:

[0045] The application provides a power distribution network energy storage participates in disaster area load restoration regulation and control method, device, terminal equipment and storage medium, the method can construct a disaster area load restoration optimization model according to the typhoon disaster area data, the power distribution network state data and the power distribution network energy storage data, with the minimum disaster area power distribution network frequency deviation and power distribution network energy storage frequency modulation power as the target, according to the power distribution network state data and the power distribution network energy storage data, the fixed energy storage station power constraint, the mobile energy storage vehicle power constraint, the grid connection point voltage constraint and the exchanged active power constraint of the disaster area load restoration optimization model are constructed, the disaster area load restoration optimization model is solved under the constraint of the fixed energy storage station power constraint, the mobile energy storage vehicle power constraint, the grid connection point voltage constraint and the exchanged active power constraint, the proportion of the power distribution network energy storage load is generated when the disaster area power distribution network frequency deviation and the power distribution network energy storage frequency modulation power are minimum, and the power distribution network energy storage participates in disaster area load restoration is regulated and controlled according to the proportion of the power distribution network energy storage load. The proportion of the power distribution network energy storage load obtained by solving the disaster area load restoration optimization model can reduce the disaster area power distribution network frequency deviation, ensure the stability of the power system operation, and prevent equipment damage or power accidents caused by frequency fluctuation; solving the disaster area load restoration optimization model is helpful to quickly and efficiently restore power supply after the disaster, especially for the recovery of critical infrastructure and emergency services, which is conducive to reducing the impact of disasters and improving the disaster resistance, and realizes the regulation and control of the power distribution network energy storage participating in disaster area load restoration. BRIEF DESCRIPTION OF DRAWINGS

[0046] Fig. 1 is a flowchart of a power distribution network energy storage participating in disaster area load restoration regulation and control method according to an embodiment of the application;

[0047] Fig. 2 is a structural diagram of a power distribution network energy storage participating in disaster area load restoration regulation and control device according to an embodiment of the application;

[0048] Fig. 3 is an optimization level structure diagram according to an embodiment of the application. DETAILED DESCRIPTION

[0049] The technical solutions in the embodiments of the application will be clearly and completely described below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only part of the embodiments of the application, rather than all the embodiments. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the application.

[0050] Referring to Fig. 1, it is a flowchart of a power distribution network energy storage participating in disaster area load restoration regulation and control method according to an embodiment of the application, including:

[0051] S1, obtain typhoon disaster area data, power distribution network state data and power distribution network energy storage data;

[0052] S2, constructing a disaster area load restoration optimization model according to the disaster area data, the power distribution network state data and the power distribution network energy storage data, with the minimum disaster area power distribution network frequency deviation and the minimum power distribution network energy storage frequency regulation power as the target;

[0053] S3, constructing the fixed energy storage station power constraint, the mobile energy storage vehicle power constraint, the grid-connected point voltage constraint and the exchanged active power constraint of the disaster area load restoration optimization model according to the power distribution network state data and the power distribution network energy storage data;

[0054] S4, solving the disaster area load restoration optimization model under the constraints of the fixed energy storage station power constraint, the mobile energy storage vehicle power constraint, the grid-connected point voltage constraint and the exchanged active power constraint, to generate the proportion of the power distribution network energy storage assuming the load when the disaster area power distribution network frequency deviation and the power distribution network energy storage frequency regulation power are the minimum;

[0055] S5, re-regulating the power distribution network energy storage participating in the disaster area load restoration according to the proportion of the power distribution network energy storage assuming the load.

[0056] Specifically, the disaster area data, the power distribution network state data and the power distribution network energy storage data are obtained, and then a disaster area load restoration optimization model is constructed according to the disaster area data, the power distribution network state data and the power distribution network energy storage data, with the minimum disaster area power distribution network frequency deviation and the minimum power distribution network energy storage frequency regulation power as the target. Then, the fixed energy storage station power constraint, the mobile energy storage vehicle power constraint, the grid-connected point voltage constraint and the exchanged active power constraint of the disaster area load restoration optimization model are constructed according to the power distribution network state data and the power distribution network energy storage data. After the model and the constraints are constructed, the constructed disaster area load restoration optimization model is solved under the constraints of the fixed energy storage station power constraint, the mobile energy storage vehicle power constraint, the grid-connected point voltage constraint and the exchanged active power constraint, to generate the proportion of the power distribution network energy storage assuming the load when the disaster area power distribution network frequency deviation and the power distribution network energy storage frequency regulation power are the minimum. Finally, the power distribution network energy storage participating in the disaster area load restoration is re-regulated according to the proportion of the power distribution network energy storage assuming the load obtained by solving. The proportion of the power distribution network energy storage assuming the load obtained by solving the optimization model helps to maintain the frequency stability of the disaster area power system and reduce the damage of equipment caused by frequency deviation.

[0057] Preferably, the disaster area data includes the number of disaster areas, the number of power distribution lines in the disaster area, the load power influence coefficient of the power distribution line in the disaster area and the load power of the power distribution line in the disaster area when the typhoon is approaching.

[0058] The power distribution network state data includes: power distribution network load unit regulation power, real-time number of energy storage devices in the power distribution network, real-time charging duration of the energy storage devices in the power distribution network, actual value of the power distribution network and the main network grid connection point voltage, maximum allowable value of the power distribution network and the main network grid connection point voltage, minimum allowable value of the power distribution network and the main network grid connection point voltage, power distribution line load power, and load power loss probability in the power distribution network.

[0059] The power distribution network energy storage data includes: unit regulation power of energy storage participating in secondary frequency modulation, energy storage quantity, proportion of energy storage bearing historical load, historical average value of energy storage charging power, historical average value of energy storage discharging power, real-time average value of energy storage charging power, real-time average value of energy storage discharging power, historical active power of energy storage device charging, historical quantity of energy storage devices, historical charging duration of energy storage devices, maximum allowable value of energy storage output active power, minimum allowable value of energy storage output active power, maximum allowable value of energy storage output reactive power, minimum allowable value of energy storage output reactive power, actual value of energy storage output active power, actual value of energy storage output reactive power, power distribution network energy storage charging state variable, and power distribution network energy storage discharging state variable.

[0060] In a preferred embodiment of the present application, the disaster area load restoration optimization model is:

[0061] Wherein, Δf represents the frequency deviation of the disaster area power distribution network; P represents the frequency modulation power of the power distribution network energy storage; FL ΔP represents the power loss of the power distribution line fault; A K represents the frequency modulation power offset of the power distribution network; D K represents the unit regulation power of the power distribution network load; FESi K represents the unit regulation power of the i th energy storage power station participating in secondary frequency modulation; SESi K represents the unit regulation power of the i th mobile energy storage vehicle participating in secondary frequency modulation; SCi N represents the unit regulation power of the i th mobile diesel vehicle participating in secondary frequency modulation; FES N represents the number of energy storage power stations; SES N represents the number of mobile energy storage vehicles; SC N represents the number of mobile diesel vehicles; K represents the proportion of energy storage bearing historical load in the i th power distribution network in the t th period; K represents the historical average value of energy storage charging power in the i th power distribution network in the t th period; K represents the historical average value of energy storage discharging power in the i th power distribution network in the t th period; K represents the proportion of energy storage bearing real-time load in the i th power distribution network in the t th period; represents the real-time average value of the energy storage charging power in the ith power distribution network in the t period; represents the real-time average value of the energy storage discharging power in the ith power distribution network in the t period; represents the predicted value of the energy storage charging power in the ith power distribution network in the t+1 period; represents the proportion of the predicted load borne by the energy storage in the ith power distribution network in the t+1 period; represents the predicted value of the energy storage discharging power in the ith power distribution network in the t+1 period.

[0062] Specifically, the disaster area load restoration optimization model minimizes the frequency deviation minΔf of the disaster area power distribution network caused by the loss of load due to the failure of the power distribution line in the typhoon, assuming that N FES energy storage power stations participate in secondary frequency regulation, and the unit regulation power K FES ; N SES typhoon mobile energy storage vehicles participate in secondary frequency regulation, and the unit regulation power K SES ; N SC typhoon mobile diesel vehicles participate in secondary frequency regulation, and the unit regulation power K SC . Under the action of the unit regulation power K of the system K=K FES +K SES +K SC +K D , the frequency deviation caused by the load reduction P FL of the disaster area power distribution network is where Δf represents the frequency deviation of the disaster area power distribution network; represents the power distribution network energy storage frequency regulation power; P FL represents the power distribution line failure load loss power; ΔP A represents the power distribution network frequency regulation power offset; K D represents the unit regulation power of the power distribution network load; K FESi represents the unit regulation power of the ith energy storage power station participating in secondary frequency regulation; K SESi represents the unit regulation power of the ith mobile energy storage vehicle participating in secondary frequency regulation; K SCi represents the unit regulation power of the ith mobile diesel vehicle participating in secondary frequency regulation; N FES represents the number of energy storage power stations; N SES represents the number of mobile energy storage vehicles; N SC represents the number of mobile diesel vehicles.

[0063] The power distribution network energy storage frequency regulation power is minimized, i.e. the energy storage frequency regulation power in the ith power distribution network in the t+1 period is minimized The decision variable of the disaster area load restoration optimization model is the proportion of the load borne by the energy storage.

[0064] Specifically, the calculation of the power distribution line failure load loss power comprises:

[0065] According to the probability of power loss of the distribution network load under the influence of the typhoon, the influence coefficient of the typhoon on the distribution network load, and the disaster area distribution network load power when the typhoon approaches, the distribution line fault loss load power is obtained by multiplication.

[0066] The calculation of the disaster area distribution network load power when the typhoon approaches comprises:

[0067] The disaster area distribution network load power when the typhoon approaches is calculated by the following formula:

[0068] Wherein, P FD represents the disaster area distribution network load power when the typhoon approaches; N Q represents the number of typhoon disaster areas; N L represents the number of distribution lines in the typhoon disaster area; k FDkl represents the influence coefficient of the typhoon wind speed on the load power of the lth distribution line in the kth typhoon disaster area; P FDkl represents the load power of the lth distribution line in the kth typhoon disaster area when the typhoon approaches.

[0069] In a preferred embodiment of the present application, according to the probability of power loss of the distribution network load under the influence of the typhoon, the influence coefficient of the typhoon on the distribution network load, and the disaster area distribution network load power when the typhoon approaches, the distribution line fault loss load power is obtained by multiplication: Wherein, P FL represents the distribution line fault loss load power; p FDi represents the probability of the i th load power loss of the distribution network under the influence of the typhoon; k FD represents the influence coefficient of the typhoon on the i th distribution network load; P FDi represents the i th distribution network load power in the disaster area when the typhoon approaches.

[0070] The disaster area distribution network load power when the typhoon approaches is calculated by the following formula: Wherein, P FD represents the disaster area distribution network load power when the typhoon approaches; N Q represents the number of typhoon disaster areas; N L represents the number of distribution lines in the typhoon disaster area; k FDkl represents the influence coefficient of the typhoon wind speed on the load power of the lth distribution line in the kth typhoon disaster area, which is an empirical coefficient and can be valued through experiments; P FDkl represents the load power of the lth distribution line in the kth typhoon disaster area when the typhoon approaches.

[0071] Preferably, the matrix corresponding to the historical average value of the energy storage charging power is:

[0072] The matrix corresponding to the real-time average value of the energy storage charging power is:

[0073] The matrix corresponding to the predicted value of the energy storage charging power is:

[0074] Wherein, represents the historical active power of the energy storage device charging in the i-th power distribution network in the t-th period; represents the historical number of the energy storage device in the i-th power distribution network in the t-th period; represents the historical charging duration of the energy storage device in the i-th power distribution network in the t-th period; represents the real-time active power of the energy storage device charging in the i-th power distribution network; represents the real-time number of the energy storage device in the i-th power distribution network; represents the real-time charging duration of the energy storage device in the i-th power distribution network; represents the predicted active power of the energy storage device charging in the i-th power distribution network in the t+1-th period; represents the predicted number of the energy storage device in the i-th power distribution network in the t+1-th period; represents the predicted charging duration of the energy storage device in the i-th power distribution network in the t+1-th period.

[0075] In a preferred embodiment of the present application, the energy storage device charging active power, the energy storage device number, the energy storage device charging duration and other data are obtained from the historical database, the real-time acquisition data system and the prediction system, to generate the matrix corresponding to the historical average value of the energy storage charging power, the matrix corresponding to the real-time average value of the energy storage charging power and the matrix corresponding to the predicted value of the energy storage charging power. Wherein, Mathematically, they are respectively:

[0076] Wherein, are the historical data matrices of the energy storage device charging in the i-th power distribution network are the data values of the j-th element of the t-th period of the energy storage device number, charging active power and charging duration in the i-th power distribution network, are the historical data matrices of the energy storage device charging in the i-th power distribution network are the real-time data values of the t-th period of the energy storage device number, charging active power and charging duration, are the historical data matrices of the energy storage device charging and discharging in the i-th power distribution network are the predicted data values of the t-th period of the energy storage device number, charging active power and charging duration in the future t+1-th period, j=1,2,...,N PDi ,NPDi the number of the charging and discharging history data sets of the energy storage device of the i-th power distribution network; t = 1, 2, …, T, T is the number of time periods of daily operation of the power distribution network.

[0077] Specifically, the fixed energy storage station power constraint is:

[0078] wherein, Pmax k,n represents the maximum allowed value of the active power output of the n-th fixed energy storage station in the k-th region of the power distribution network; FSEkn Pmin k,n represents the minimum allowed value of the active power output of the n-th fixed energy storage station in the k-th region of the power distribution network; Qmax k,n represents the maximum allowed value of the reactive power output of the n-th fixed energy storage station in the k-th region of the power distribution network; FAEkn Qmin k,n represents the minimum allowed value of the reactive power output of the n-th fixed energy storage station in the k-th region of the power distribution network; FSEkn P k,n represents the actual value of the active power output of the n-th fixed energy storage station in the k-th region of the power distribution network; FSEkn Q k,n represents the actual value of the reactive power output of the n-th fixed energy storage station in the k-th region of the power distribution network;

[0079] The mobile energy storage vehicle power constraint is:

[0080] wherein, Pmax k,n represents the maximum allowed value of the active power output of the n-th fixed energy storage station in the k-th region of the power distribution network; SSEkn Pmin k,n represents the minimum allowed value of the active power output of the n-th fixed energy storage station in the k-th region of the power distribution network; Qmax k,n represents the maximum allowed value of the reactive power output of the n-th fixed energy storage station in the k-th region of the power distribution network; SSEkn Qmin k,n represents the minimum allowed value of the reactive power output of the n-th fixed energy storage station in the k-th region of the power distribution network; SSEkn P k,n represents the actual value of the active power output of the n-th fixed energy storage station in the k-th region of the power distribution network; SSEkn Q k,n represents the actual value of the reactive power output of the n-th fixed energy storage station in the k-th region of the power distribution network;

[0081] The grid-connected point voltage constraint is:

[0082] wherein, Vmax i represents the maximum allowed value of the voltage of the grid-connected point of the i-th power distribution network and the main grid; Mit Vmin i represents the minimum allowed value of the voltage of the grid-connected point of the i-th power distribution network and the main grid; Mit V i represents the actual value of the voltage of the grid-connected point of the i-th power distribution network and the main grid;

[0083] The exchanged active power constraint is:

[0084] wherein, Pip,i represents the maximum value of the probability of the active power injected by the ith distribution network into the main network; p M-D Pip,i represents the minimum value of the probability of the active power injected by the ith distribution network into the main network; P M-D Pit,i represents the active power exchanged by the ith distribution network with the main network at the tth time period; P PVit Ppv,i represents the active power output by the photovoltaic generation system of the ith distribution network at the tth time period; P EVit Pev,i represents the active power of the electric vehicle charging at the tth time period of the ith distribution network; P DSit Pes,i represents the active power of the energy storage device charging at the tth time period of the ith distribution network; P Eit Pld,i represents the active power of the electric load power at the tth time period of the ith distribution network; P Hit Phd,i represents the active power of the heating load power at the tth time period of the ith distribution network; P Cit Pcd,i represents the active power of the cooling load power at the tth time period of the ith distribution network; k EVit k represents the electric vehicle charging state variable; k DSit k represents the energy storage device charging state variable; P XPVit Ppvmin,i represents the minimum value of the active power output by the photovoltaic generation system of the ith distribution network at the tth time period; P APVit Ppvmean,i represents the average value of the active power output by the photovoltaic generation system of the ith distribution network at the tth time period; P DPVit Ppvmax,i represents the maximum value of the active power output by the photovoltaic generation system of the ith distribution network at the tth time period; T XPVi Tpvmin,i represents the time period of the minimum value of the active power output by the photovoltaic generation system of the ith distribution network; T APVi Tpvmean,i represents the time period of the average value of the active power output by the photovoltaic generation system of the ith distribution network; T DPVi Tpvmax,i represents the time period of the maximum value of the active power output by the photovoltaic generation system of the ith distribution network.

[0085] In a preferred embodiment of the present application, the fixed energy storage station power constraint represents that the output power value of the fixed energy storage station must be between the upper and lower values of its allowed output; the mobile energy storage vehicle power constraint represents that the output power value of the mobile energy storage vehicle must be between the upper and lower values of its allowed output; the grid connection point voltage constraint represents that the voltage at the grid connection point of the ith distribution network with the main network is required to be less than its allowed maximum value and greater than its allowed minimum value; the exchanged active power constraint represents that the probability of the active power injected by the ith distribution network into the main network is required to be less than its allowed maximum value and greater than its allowed minimum value.k EVit k represents the electric vehicle charging state variable, when charging k EVit = 1, when feeding the grid k EVit = -1; k DSit k represents the energy storage device charging state variable, when charging k DSit= 1, when sending power to the power grid k DSit = -1; Pr() represents the probability value of the function in the parentheses.

[0086] In a preferred embodiment of the present application, in the super typhoon disaster area, affected by the uncertainty of typhoon wind, wind direction and wind speed, the distribution line will be short, broken, and the pole will be formed into a feeder failure power outage, and the distribution and distribution equipment will be soaked by the flood caused by the rainstorm accompanied by the typhoon, and the transformer, lightning arrester will be caused by the grounding fault caused by the thunderstorm accompanied by the typhoon. The number of distribution equipment failures caused by the typhoon and its probability can be evaluated according to the following formula:

[0087] In the formula, N FD , p FD is the number of distribution equipment failures caused by the typhoon, the probability of the typhoon, is the number of distribution equipment fault caused by the typhoon, and the distribution equipment failure probability is 1, 2, 3,..., n FD , n FD is the expected value of the number of distribution equipment failures.

[0088] In an alternative embodiment of the present application, the solution of the disaster area load restoration optimization model can be solved based on the optimization problem of particle swarm optimization extreme learning machine. According to the input of the typhoon disaster area data, the distribution network data and the distribution network energy storage data, the parameters are initialized, and the extreme learning machine is constructed:

[0089] Wherein, w is the input weight value connected to the input layer and the hidden layer, β is the output weight value connected to the hidden layer and the output layer, g(·) is the activation function, b is the hidden layer neuron bias value introduced by the model effective fitting training data, x, y are the input and output of the sample (x i ,y i )∈R n ×R m , the relationship among input layer, hidden layer and output layer is shown in Figure 3. The training sample is pre-normalized, the number of hidden layer neurons is preset, the maximum evolution times, the population or chromosome set is initialized, and each particle or each chromosome represents a set of parameters (w, b). Then the fitness calculation is carried out, and the objective function of the minimum residual value is constructed:

[0090] Wherein, t is the training calculation output, and N is the number of samples. For any randomly generated input weight value w and bias value b, a set of β = H + Y satisfies the condition ||Hβ-Y||≤ε||, where ε is a given threshold, H + is the Moore-Penrose generalized inverse matrix, and H+ = (H T H -1 H T or H + = H T (H T H -1 When the number of input samples is greater than the number of hidden layer neurons, the calculation formula of output weight is β = (H T H -1 H T Y. The residual error of each particle or chromosome extreme learning machine model is calculated, and the residual error two-norm is taken as the fitness of the particle or chromosome.

[0091] Then the particle or chromosome is updated, and the Lagrange function is constructed:

[0092] Wherein, μ is the penalty term coefficient, λ is the Lagrange multiplier. When the constraint deviation is small, the value of the penalty coefficient μ is reduced for fine adjustment, when the constraint deviation is large, the value of μ needs to be increased to enhance the intensity of the penalty term. The value of the penalty coefficient μ is determined by the following formula: μ = 2N / ||y||1. By solving the Lagrange function, β, e, λ can be obtained. The calculation formula is as follows: β k+1 = (H T H + 2 / RμI) -1 H T (y-e k + λ k / μ); μ = 2N / ||y||1e k+1 = shink(Hβ k+1 + λ k / μ, 1 / μ); λ k+1 = λ k + μ(y-Hβ k+1 -e k+1 );

[0093] The robust extreme learning machine is used, and the three formulas are used to update β, e, λ by iteration. The particle evolution is realized by using the position calculation formula, and the self-evolution update is completed by comparing the fitness of the particles before and after evolution; the evolution steps of genetic algorithm are more complex, and new chromosomes are obtained by several steps including selection operator calculation, chromosome crossover calculation, and chromosome mutation calculation. Let the loop counter k = 0, take the initial residual error e k = 0, the initial Lagrange multiplier λ k = 0, according to the formula β k+1 = (H T H + 2 / RμI) -1 H T (y-e k + λ k / μ) update βk+1 ; update β k+1 compute μ by β k+1 and μ combine formula μ = 2N / ||y||1e k+1 = shink(Hβ k+1 + λ k / μ, 1 / μ) update e k+1 ; update β k+1 and e k+1 update λ by formula λ k+1 = λ k + μ(y-Hβ k+1 -e k+1 ) update λ k+1 . Each loop k is incremented by 1 until k ≥ nIter, the loop calculation is completed and the latest β calculation value is output. By comparing the fitness of the new and old particles or chromosomes, the fittest particles or chromosomes are selected and the less fit old particles or old chromosomes are replaced. The termination condition is determined: when the evolution times reach the maximum evolution times M (such as 300) or meet the expected requirements (such as e < 0.001), the calculation is terminated, and the particle or chromosome with the maximum fitness is output as the optimal solution, otherwise return to the particle or chromosome update step. The optimal solution at the time of calculation termination is taken as the extreme learning machine model parameters (w, b), and the output weight β of the hidden layer is calculated using the set of parameters. Thus, the disaster area load restoration optimization model is completed.

[0094] By implementing the embodiment, according to the typhoon disaster area data, the power distribution network state data and the power distribution network energy storage data, a disaster area load restoration optimization model is constructed with the minimum disaster area power distribution network frequency deviation and power distribution network energy storage frequency modulation power as the target. According to the power distribution network state data and the power distribution network energy storage data, the fixed energy storage station power constraint, the mobile energy storage vehicle power constraint, the grid connection point voltage constraint and the exchanged active power constraint of the disaster area load restoration optimization model are constructed. Under the constraints of the fixed energy storage station power constraint, the mobile energy storage vehicle power constraint, the grid connection point voltage constraint and the exchanged active power constraint, the disaster area load restoration optimization model is solved to generate the proportion of power distribution network energy storage load at the time of the minimum disaster area power distribution network frequency deviation and power distribution network energy storage frequency modulation power. According to the proportion of power distribution network energy storage load, the power distribution network energy storage participating in disaster area load restoration is re-regulated. By solving the disaster area load restoration optimization model, the proportion of power distribution network energy storage load is obtained, which can reduce the disaster area power distribution network frequency deviation, ensure the stability of the power system operation, and prevent equipment damage or power accidents caused by frequency fluctuations. Solving the disaster area load restoration optimization model helps to quickly and efficiently restore power supply after a disaster, especially for the recovery of critical infrastructure and emergency services, which is conducive to reducing the impact of disasters and improving disaster resistance, and realizing the regulation of power distribution network energy storage participating in disaster area load restoration.

[0095] Referring to FIG. 2, it is a structural schematic diagram of a power distribution network energy storage participating in disaster area load restoration control device provided by an embodiment of the application, comprising:

[0096] The power distribution network data acquisition module is configured to acquire typhoon disaster area data, power distribution network state data, and power distribution network energy storage data.

[0097] The optimization model construction module is configured to construct a disaster area load restoration optimization model according to the typhoon disaster area data, the power distribution network state data, and the power distribution network energy storage data, with the minimum disaster area power distribution network frequency deviation and power distribution network energy storage frequency modulation power as the target.

[0098] The model constraint construction module is configured to construct the fixed energy storage station power constraint, the mobile energy storage vehicle power constraint, the grid-connected point voltage constraint, and the exchanged active power constraint of the disaster area load restoration optimization model according to the power distribution network state data and the power distribution network energy storage data.

[0099] The model solution module is configured to solve the disaster area load restoration optimization model under the constraint of the fixed energy storage station power constraint, the mobile energy storage vehicle power constraint, the grid-connected point voltage constraint, and the exchanged active power constraint, and generate the proportion of power distribution network energy storage load bearing when the disaster area power distribution network frequency deviation and power distribution network energy storage frequency modulation power are minimum.

[0100] The power distribution network control module is configured to control the power distribution network energy storage participating in disaster area load restoration according to the proportion of power distribution network energy storage load bearing.

[0101] In a preferred embodiment of the application, the typhoon disaster area data includes the number of typhoon disaster areas, the number of power distribution lines in the typhoon disaster areas, the power distribution line load power influence coefficient in the typhoon disaster areas, and the load power of the disaster area power distribution line when the typhoon is approaching.

[0102] The power distribution network state data includes the power distribution network load unit regulation power, the real-time number of energy storage devices in the power distribution network, the real-time charging duration of the energy storage devices in the power distribution network, the actual value of the power distribution network and main network grid-connected point voltage, the maximum allowable value of the power distribution network and main network grid-connected point voltage, the minimum allowable value of the power distribution network and main network grid-connected point voltage, the power distribution line load power, and the load power loss probability in the power distribution network.

[0103] The power distribution network energy storage data includes: unit regulation power of energy storage participating in secondary frequency modulation, energy storage quantity, proportion of energy storage bearing historical load, historical average value of energy storage charging power, historical average value of energy storage discharging power, real-time average value of energy storage charging power, real-time average value of energy storage discharging power, historical active power of energy storage device charging, historical quantity of energy storage device, historical charging duration of energy storage device, maximum allowable value of energy storage output active power, minimum allowable value of energy storage output active power, maximum allowable value of energy storage output reactive power, minimum allowable value of energy storage output reactive power, actual value of energy storage output active power, actual value of energy storage output reactive power, power distribution network energy storage charging state variable and power distribution network energy storage discharging state variable.

[0104] The application provides a power distribution network energy storage participating in disaster area load restoration regulation and control device, through a power distribution network data acquisition module, typhoon disaster area data, power distribution network state data and power distribution network energy storage data are acquired; in an optimization model construction module, according to the typhoon disaster area data, the power distribution network state data and the power distribution network energy storage data, a disaster area load restoration optimization model is constructed with the minimum of disaster area power distribution network frequency deviation and power distribution network energy storage frequency modulation power as the target; in a model constraint construction module, according to the power distribution network state data and the power distribution network energy storage data, the fixed energy storage station power constraint, the mobile energy storage vehicle power constraint, the grid-connected point voltage constraint and the exchanged active power constraint of the disaster area load restoration optimization model are constructed; through a model solving module, under the constraint of the fixed energy storage station power constraint, the mobile energy storage vehicle power constraint, the grid-connected point voltage constraint and the exchanged active power constraint, the disaster area load restoration optimization model is solved to generate the proportion of power distribution network energy storage bearing load when the disaster area power distribution network frequency deviation and the power distribution network energy storage frequency modulation power are minimum; finally, in a power distribution network regulation and control module, according to the proportion of power distribution network energy storage bearing load, the power distribution network energy storage participating in disaster area load restoration is regulated and controlled again. The proportion of power distribution network energy storage bearing load obtained by solving the disaster area load restoration optimization model can reduce the disaster area power distribution network frequency deviation, ensure the stability of the power system operation, and prevent equipment damage or power accidents caused by frequency fluctuation; solving the disaster area load restoration optimization model is helpful to quickly and efficiently restore power supply after the disaster, especially for the recovery of key infrastructure and emergency services, which is conducive to reducing the impact of disasters and improving the disaster resistance, and realizes the regulation and control of power distribution network energy storage participating in disaster area load restoration.

[0105] It should be noted that the apparatus embodiments described above are merely illustrative, and the units described as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, i.e., they can be located in one place or distributed on multiple network units. Part or all of the modules can be selected to achieve the purpose of the embodiment according to actual needs. In addition, the connection relationship between the modules in the apparatus embodiments provided by the present application indicates that there is a communication connection between them, which can be implemented as one or more communication buses or signal lines. Those skilled in the art can understand and implement it without creative labor.

[0106] Those skilled in the art can clearly understand that, for the convenience and brevity, the specific working process of the above-described apparatus can refer to the corresponding process in the foregoing method embodiments, which will not be described here.

[0107] Another embodiment of the present application also provides a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and the processor implements the power grid energy storage participating in disaster area load power restoration method as described in the above embodiments when executing the computer program. The terminal device can be a desktop computer, a notebook computer, a palm computer, a cloud server and other computing devices. The terminal device can include, but is not limited to, a processor and a memory.

[0108] The processor can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor, etc. The processor is the control center of the terminal device, and connects various parts of the terminal device through various interfaces and lines.

[0109] The memory can be used to store the computer program, and the processor realizes various functions of the terminal device by running or executing the computer program stored in the memory and calling data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application required by a function, and the like; and the data storage area can store data created according to the use of the mobile phone and the like. In addition, the memory can include a high-speed random access memory, and can also include a nonvolatile memory, for example, a hard disk, a memory, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, at least one disk storage device, a flash memory device, or other volatile solid-state memory device.

[0110] Another embodiment of the present application provides a computer readable storage medium, comprising a stored computer program, wherein the computer readable storage medium controls a device where the computer readable storage medium is located to perform the power grid energy storage participating in disaster area load restoration method according to the above embodiment when the computer program runs.

[0111] The storage medium is a computer readable storage medium, and the computer program is stored in the computer readable storage medium. The computer program can realize the steps of each method embodiment when executed by a processor. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or some intermediate forms, etc. The computer readable medium can include any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium, etc.

[0112] The above is the preferred embodiment of the present application. It should be noted that, for those skilled in the art, without departing from the principles of the present application, a number of improvements and refinements can be made, which are also considered within the scope of protection of the present application.

Claims

1. A method for regulating and controlling power distribution network energy storage participating in disaster area load restoration, characterized in that, The method comprises the following steps: acquiring typhoon disaster area data, power distribution network state data and power distribution network energy storage data; According to the typhoon disaster area data, the power distribution network state data and the power distribution network energy storage data, a disaster area load restoration optimization model is constructed with the minimum frequency deviation of the disaster area power distribution network and the minimum frequency modulation power of the power distribution network energy storage as the target; According to the power distribution network state data and the power distribution network energy storage data, the fixed energy storage station power constraint, the mobile energy storage vehicle power constraint, the grid connection point voltage constraint and the exchanged active power constraint of the disaster area load restoration optimization model are constructed; Under the constraints of the fixed energy storage station power constraint, the mobile energy storage vehicle power constraint, the grid connection point voltage constraint and the exchanged active power constraint, the disaster area load restoration optimization model is solved to generate the proportion of the power distribution network energy storage to bear the load when the frequency deviation of the disaster area power distribution network and the frequency modulation power of the power distribution network energy storage are minimized; According to the proportion of the power distribution network energy storage to bear the load, the power distribution network energy storage participating in the disaster area load restoration is re-controlled.

2. The method of claim 1, wherein the method further comprises: The typhoon disaster area data includes: the number of typhoon disaster areas, the number of power distribution lines in the typhoon disaster area, the load power influence coefficient of the power distribution line in the typhoon disaster area and the load power of the disaster area power distribution line when the typhoon is approaching; The power distribution network state data includes: the unit regulation power of the power distribution network load, the real-time number of energy storage devices in the power distribution network, the real-time charging duration of the energy storage devices in the power distribution network, the actual value of the power distribution network and the main network grid connection point voltage, the maximum allowed value of the power distribution network and the main network grid connection point voltage, the minimum allowed value of the power distribution network and the main network grid connection point voltage, the load power of the power distribution line and the load power loss probability in the power distribution network; The power distribution network energy storage data includes: the unit regulation power of energy storage participating in secondary frequency modulation, the number of energy storages, the proportion of energy storage to bear historical load, the historical average value of energy storage charging power, the historical average value of energy storage discharging power, the real-time average value of energy storage charging power, the real-time average value of energy storage discharging power, the historical active power of energy storage device charging, the historical number of energy storage devices, the historical charging duration of energy storage devices, the maximum allowed value of energy storage output active power, the minimum allowed value of energy storage output active power, the maximum allowed value of energy storage output reactive power, the minimum allowed value of energy storage output reactive power, the actual value of energy storage output active power, the actual value of energy storage output reactive power, the charging state variable of power distribution network energy storage and the discharging state variable of power distribution network energy storage.

3. The method for regulating energy storage in a distribution network to participate in the restoration of power supply to a disaster area, as described in claim 1, is characterized in that... The disaster area load recovery optimization model is: Wherein, Δf represents the frequency deviation of the distribution network in the disaster area; P represents the frequency modulation power of the energy storage in the distribution network; FL ΔP represents the load loss power of the distribution line fault; A K represents the frequency modulation power offset of the distribution network; D K represents the unit regulation power of the distribution network load; FESi K represents the unit regulation power of the i-th energy storage power station participating in secondary frequency modulation; SESi K represents the unit regulation power of the i-th mobile energy storage vehicle participating in secondary frequency modulation; SCi N represents the unit regulation power of the i-th mobile diesel vehicle participating in secondary frequency modulation; FES N represents the number of energy storage power stations; SES N represents the number of mobile energy storage vehicles; SC N represents the number of mobile diesel vehicles; represents the proportion of historical load undertaken by energy storage in the ith power distribution network in the tth time period; represents the historical average of the energy storage charging power in the ith power distribution network in the tth time period; represents the historical average of the energy storage discharge power in the ith power distribution network in the tth time period; represents the proportion of real-time load that the energy storage undertakes in the i-th power distribution network in the t-th time period; represents the real-time average value of the energy storage charging power in the i-th power distribution network in the t-th time period; represents the real-time average value of the energy storage discharging power in the i-th power distribution network in the t-th time period; represents the predicted value of the energy storage charging power in the i-th power distribution network in the t+1-th time period; represents the proportion of predicted load that energy storage assumes in the i-th power distribution network in the t+1-th time period; The energy storage discharging power prediction value of the i-th power distribution network in the t+1 time period is represented.

4. The method of claim 3, wherein the method further comprises: The calculation of the power loss of the power distribution line fault includes: According to the probability of the power loss of the power distribution network load under the influence of the typhoon, the influence coefficient of the typhoon on the power distribution network load and the disaster area power distribution network load power when the typhoon is approaching, the power loss of the power distribution line fault is obtained by multiplication; The calculation of the disaster area power distribution network load power when the typhoon is approaching includes: The load power of the distribution network in the disaster area when the typhoon approaches is calculated by the following formula: wherein P FD represents the load power of the distribution network in the disaster area when a typhoon approaches; N Q represents the number of typhoon disaster areas; N L represents the number of distribution lines in the typhoon disaster area; k FDkl represents the influence coefficient of the typhoon wind speed on the load power of the lth distribution line in the kth typhoon disaster area; P FDkl represents the load power of the lth distribution line in the kth typhoon disaster area when a typhoon approaches.

5. The method for regulating energy storage in a distribution network to participate in the restoration of power supply to a disaster area, as described in claim 1, is characterized in that... The matrix corresponding to the energy storage charging power historical average value is: The matrix corresponding to the real-time average of the energy storage charging power is: The matrix corresponding to the energy storage charging power prediction value is: wherein PCHi(t) represents the charging history active power of the energy storage device in the ith power distribution network in the tth time period; represents the historical quantity of energy storage devices in the i-th power distribution network in the t-th time period; denotes the historical charging duration of the energy storage device in the i-th power distribution network in the t-th time period; Pci(t) represents the real-time active power of the energy storage device charging in the i-th power distribution network; represents the real-time quantity of energy storage devices in the i-th power distribution network; represents the real-time charging duration of the energy storage device in the i-th power distribution network; Pci(t+1) represents the predicted active power of the energy storage device in the i-th power distribution network in the t+1-th time period; represents the predicted number of energy storage devices in the i-th power distribution network in the t+1 -th time period; The predicted charging duration of the energy storage device in the i-th power distribution network in the t+1 time period is represented.

6. The method of claim 1, wherein the method further comprises: The fixed energy storage station power constraint is: wherein, Pmax k,n represents the maximum allowed value of the active power output by the nth stationary energy storage of the distribution grid region k; P FSEkn Pmin k,n represents the minimum allowed value of the active power output by the nth stationary energy storage of the distribution grid region k; Qk,n,max represents the maximum allowed value of the active power output of the nth stationary energy storage in the distribution grid region k; Q FAEkn Qk,n,min represents the minimum allowed value of the active power output of the nth stationary energy storage in the distribution grid region k; P FSEkn Qk,n,act represents the actual value of the active power output of the nth stationary energy storage in the distribution grid region k; Q FSEkn Qk,n,act represents the actual value of the active power output of the nth stationary energy storage in the distribution grid region k; The power constraint of the mobile energy storage vehicle is: wherein Pmax k,n represents the maximum allowed value of the active power output by the nth stationary energy storage of the distribution grid region k; P SSEkn Pmin k,n represents the minimum allowed value of the active power output by the nth stationary energy storage of the distribution grid region k; Qk,n,max represents the maximum allowed value of the reactive power output of the nth stationary energy storage station in the distribution network region k; P SSEkn Qk,n,min represents the minimum allowed value of the reactive power output of the nth stationary energy storage station in the distribution network region k; P SSEkn Pk,n,act represents the actual value of the active power output of the nth mobile energy storage station in the distribution network region k; Q SSEkn Qk,n,act represents the actual value of the reactive power output of the nth mobile energy storage station in the distribution network region k; The grid-connected point voltage constraint is: wherein Vmax,i represents the maximum allowed value of the voltage at the point of interconnection of the i-th distribution network with the main network; V Mit Vmin,i represents the minimum allowed value of the voltage at the point of interconnection of the i-th distribution network with the main network; V Mit Vact,i represents the actual value of the voltage at the point of interconnection of the i-th distribution network with the main network; The exchange active power constraint is: wherein, probability allowed maximum value of active power injected by the ith distribution network to the main grid; p M-D probability allowed minimum value of active power injected by the ith distribution network to the main grid; P M-D active power exchanged by the ith distribution network with the main grid at the tth time period; P PVit active power output by the photovoltaic generation system of the ith distribution network at the tth time period; P EVit active power of electric vehicle charging of the ith distribution network at the tth time period; P DSit active power of energy storage device charging of the ith distribution network at the tth time period; P Eit active power of electric load power of the ith distribution network at the tth time period; P Hit active power of heat load power of the ith distribution network at the tth time period; P Cit active power of cold load power of the ith distribution network at the tth time period; k EVit electric vehicle charging state variable; k DSit energy storage device charging state variable; P XPVit minimum value of active power output by the photovoltaic generation system of the ith distribution network at the tth time period; P APVit average value of active power output by the photovoltaic generation system of the ith distribution network at the tth time period; P DPVit maximum value of active power output by the photovoltaic generation system of the ith distribution network at the tth time period; T XPVi time period of minimum value of active power output by the photovoltaic generation system of the ith distribution network; T APVi time period of average value of active power output by the photovoltaic generation system of the ith distribution network; T DPVi time period of maximum value of active power output by the photovoltaic generation system of the ith distribution network.

7. A power distribution network energy storage participates in the disaster area load power restoration regulation and control device, its characterized in not, The method comprises the following steps: A power distribution network data acquisition module is used to acquire typhoon disaster area data, power distribution network state data and power distribution network energy storage data; An optimization model construction module is configured to construct a disaster area load restoration optimization model with a minimum disaster area power grid frequency deviation and a minimum power grid energy storage frequency modulation power based on the disaster area data, the power grid state data, and the power grid energy storage data; A model constraint construction module is configured to construct fixed energy storage station power constraints, mobile energy storage vehicle power constraints, grid connection point voltage constraints, and exchanged active power constraints of the disaster area load restoration optimization model based on the power grid state data and the power grid energy storage data; A model solution module is configured to solve the disaster area load restoration optimization model under the constraints of the fixed energy storage station power constraints, the mobile energy storage vehicle power constraints, the grid connection point voltage constraints, and the exchanged active power constraints, and generate a proportion of the disaster area load borne by the power grid energy storage when the disaster area power grid frequency deviation and the power grid energy storage frequency modulation power are minimum. A power grid regulation module is configured to regulate the participation of the power grid energy storage in the disaster area load restoration based on the proportion of the disaster area load borne by the power grid energy storage.

8. The power distribution network energy storage disaster area load restoration control device of claim 7, wherein, The disaster area data includes the number of disaster areas, the number of power distribution lines in the disaster areas, a power distribution line load power influence coefficient in the disaster areas, and a load power of the power distribution lines in the disaster areas when a typhoon is approaching. The power grid state data includes a power grid load unit regulation power, a real-time number of energy storage devices in the power grid, a real-time charging duration of the energy storage devices in the power grid, an actual value of a power grid and main grid grid connection point voltage, a maximum allowable value of the power grid and main grid grid connection point voltage, a minimum allowable value of the power grid and main grid grid connection point voltage, a power distribution line load power, and a power loss probability of the load power in the power grid. The power grid energy storage data includes a unit regulation power of energy storage participating in secondary frequency modulation, an energy storage number, a proportion of historical load borne by the energy storage, a historical average value of energy storage charging power, a historical average value of energy storage discharging power, a real-time average value of energy storage charging power, a real-time average value of energy storage discharging power, a historical active power of energy storage device charging, a historical number of energy storage devices, a historical charging duration of the energy storage devices, a maximum allowable value of energy storage output active power, a minimum allowable value of energy storage output active power, a maximum allowable value of energy storage output reactive power, a minimum allowable value of energy storage output reactive power, an actual value of energy storage output active power, an actual value of energy storage output reactive power, a power grid energy storage charging state variable, and a power grid energy storage discharging state variable.

9. A terminal device, comprising: A computer readable storage medium includes a stored computer program, wherein the computer readable storage medium controls a device where the computer readable storage medium is located to execute a regulation method of a power grid energy storage participating in disaster area load restoration according to any one of claims 1 to 6 when the computer program runs.

10. A computer-readable storage medium, characterized in that, A computer readable storage medium includes a stored computer program, wherein the computer readable storage medium controls a device where the computer readable storage medium is located to execute a regulation method of a power grid energy storage participating in disaster area load restoration according to any one of claims 1 to 6 when the computer program runs.

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