Energy storage and voltage regulation control method, system and equipment of power distribution network and medium

Abstract

The invention discloses an energy storage and voltage regulation control method, system and device for a power distribution network and a medium. The method comprises the following steps: screening voltage weak nodes in the power distribution network; determining the voltage sensitivity of the voltage weak node; constructing an energy storage planning model and constraints thereof and an economic planning model and constraints thereof based on the voltage sensitivity of the voltage weak node; according to the energy storage planning model and the constraint thereof and the economic planning model and the constraint thereof, the method, the system, the equipment and the medium can ensure safe and stable operation of the power distribution network, and meanwhile, the method, the system, the equipment and the medium have the characteristics of low cost and long service life.

Description

Technical Field

[0001] The present invention belongs to the technical field of energy storage planning, and relates to an energy storage voltage regulation control method, system, equipment and medium for a distribution network. Background Art

[0002] Energy has always been the basis for people's survival and development. With the continuous deterioration of the ecological environment and the gradual depletion of fossil energy, people are increasingly eager to find alternative green energy. With the rapid development of renewable energy technology, photovoltaic power generation has been widely deployed around the world due to its clean and renewable characteristics. Especially in the distribution network, the penetration rate of photovoltaic systems continues to increase, which poses new challenges to the stability and economy of the power grid. The intermittent and volatile nature of photovoltaic power generation requires the power grid to have stronger regulation capabilities to ensure voltage stability and power quality. However, because photovoltaic power generation has some unique characteristics, such as the intermittent, volatile and uncertain nature of power generation, these characteristics make the large-scale grid connection of photovoltaic power generation likely to have many adverse effects on the safety and stable operation of the power system.

[0003] Energy storage (BESS) has the characteristics of high efficiency, rapid response, and flexible configuration. It is an effective means to cope with power system fluctuations and enhance the stability of energy supply. However, there are currently problems, such as high cost and limited lifespan, which urgently need technological innovation, cost reduction and relevant policy support. Summary of the invention

[0004] The purpose of the present invention is to overcome the shortcomings of the above-mentioned prior art and provide a method, system, device and medium for energy storage voltage regulation control of a distribution network. The method, system, device and medium can ensure the safe and stable operation of the distribution network and have the characteristics of low cost and long service life.

[0005] In order to achieve the above object, the present invention adopts the following technical scheme:

[0006] In one aspect of the present invention, the energy storage voltage regulation control method of the distribution network of the present invention comprises:

[0007] Screening of weak voltage nodes in distribution networks;

[0008] Determine the voltage sensitivity of voltage-weak nodes;

[0009] Building an energy storage planning model and its constraints and an economic planning model and its constraints based on the voltage sensitivity of the voltage weak node;

[0010] The voltage of the voltage-weak node is adjusted according to the energy storage planning model and its constraints and the economic planning model and its constraints.

[0011] The energy storage voltage regulation control method of the distribution network described in the present invention is further improved in that:

[0012] Furthermore, the process of screening the voltage weak nodes in the distribution network is as follows:

[0013] Based on the DLMP model, weak voltage nodes in the distribution network are screened.

[0014] Furthermore, the objective function of the energy storage planning model is:

[0015]

[0016] in, It is the maximum value of the active power compensation of the battery.

[0017] Furthermore, the constraints of the energy storage planning model include main constraints, energy storage battery related constraints and line node constraints.

[0018] Furthermore, the main constraints of the energy storage planning model are:

[0019]

[0020] in, is the maximum value of reactive power compensation of the photovoltaic inverter, is the maximum value of the active power compensation of the battery, is the reactive voltage sensitivity, is the active voltage sensitivity.

[0021] Furthermore, the objective function of the economic planning model is:

[0022] minC=C pare +C loss +C in (34)

[0023] Among them, C is the operating cost of the distribution network, C pare is the power interaction cost, C loss is the loss cost, C in Investment cost for distributed energy storage equipment.

[0024] Furthermore, the constraints of the economic planning model are:

[0025] P ESS,j,min ≤P ESS,t.j ≤P ESS ,j,max (38)

[0026] Among them, P ESS,j,max and P ESS,j,min are the upper and lower limits of the charging and discharging power of the jth energy storage device, respectively, ESS,j,min Indicates that the capacity of the safe configuration energy storage is the boundary, PESS,j,max Indicates that the boundary is limited by economic cost.

[0027] In a second aspect of the present invention, the energy storage voltage regulation control system of the distribution network of the present invention is characterized by comprising:

[0028] A screening module is used to screen the weak voltage nodes in the distribution network;

[0029] A determination module, used for determining the voltage sensitivity of the voltage-weak node;

[0030] A construction module, used to construct an energy storage planning model and its constraints and an economic planning model and its constraints based on the voltage sensitivity of the voltage weak node;

[0031] The regulating module is used to regulate the voltage of the weak voltage node according to the energy storage planning model and its constraints and the economic planning model and its constraints.

[0032] In a third aspect of the present invention, the computer device described in the present invention includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the steps of the energy storage voltage regulation control method of the distribution network when executing the computer program.

[0033] In a fourth aspect of the present invention, the computer-readable storage medium of the present invention stores a computer program, and when the computer program is executed by a processor, the steps of the energy storage voltage regulation control method of the distribution network are implemented.

[0034] The present invention has the following beneficial effects:

[0035] The energy storage voltage regulation control method, system, device and medium of the distribution network described in the present invention screen out voltage weak nodes in the distribution network during specific operation, and construct an energy storage planning model and its constraints and an economic planning model and its constraints for the voltage weak nodes, and thereby adjust the voltage of the voltage weak nodes to avoid the adverse effects of large-scale grid connection of photovoltaic power generation on the safety and stable operation of the power system, while reducing the cost of energy storage and increasing the service life of energy storage.

[0036] Furthermore, based on the DLMP model, the voltage weak nodes in the distribution network are screened with high accuracy.

[0037] Furthermore, the total active power compensation required by the hybrid voltage regulation method is considered, and the minimum BESS capacity is calculated according to the sensitivity, so as to achieve the purpose of completing grid transmission with the minimum burden. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] The accompanying drawings constituting a part of the present invention are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the accompanying drawings:

[0039] Figure 1 is a schematic diagram of a distribution network in Embodiment 1;

[0040] Figure 2 DLMP distribution diagram of each node in Example 1;

[0041] Figure 3 This is a schematic diagram of considering safe energy storage planning in Example 1;

[0042] Figure 4 A schematic diagram of energy storage configuration considering safety and economy in Example 1;

[0043] Figure 5 Schematic diagram of DLMP obtained after energy storage is connected in Example 1;

[0044] Figure 6 It is a schematic diagram of voltage regulation of the distribution network in the first embodiment;

[0045] Figure 7 It is a system structure diagram of the present invention. DETAILED DESCRIPTION

[0046] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiment of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiment of the present invention. Obviously, the described embodiment is only an embodiment of a part of the present invention, not all embodiments, and is not intended to limit the scope of the present invention. In addition, in the following description, the description of well-known structures and technologies is omitted to avoid unnecessary confusion of the concepts disclosed in the present invention. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work should fall within the scope of protection of the present invention.

[0047] The accompanying drawings show schematic diagrams of structures according to embodiments disclosed in the present invention. These figures are not drawn to scale, and some details are magnified and some details may be omitted for the purpose of clear expression. The shapes of various regions and layers shown in the figures and the relative sizes and positional relationships therebetween are only exemplary, and may deviate in practice due to manufacturing tolerances or technical limitations, and those skilled in the art may additionally design regions / layers with different shapes, sizes, and relative positions according to actual needs.

[0048] Embodiment 1

[0049] The energy storage voltage regulation control method of the distribution network described in the present invention comprises the following steps:

[0050] 1) Establish a distribution network power flow analysis model;

[0051] With the goal of minimizing the cost of distributed generation, a linear optimal power flow model ignoring congestion is established as follows:

[0052]

[0053]

[0054] Among them, P t logs and Respectively represent the total active and reactive power losses in time period t, P t b P is the power purchased by the distribution network from the upper power grid in time period t, t s is the power sold by the distribution network from the upper power grid in time period t, and is the active power and reactive power output by the distributed generation in time period t; Equations (2) and (3) respectively describe the active power balance constraint and reactive power balance constraint; Equations (4) and (5) respectively represent the upper and lower limits of the active capacity and reactive capacity of the distributed generation; Equation (6) is used to ensure that the bus voltage does not exceed the allowable range; Equations (7) and (8) respectively limit the purchase and sale of electricity between the local distribution network and the upper power grid; P t loss and Can be used and express.

[0055] 2) Since there is a strong coupling relationship between the constraints (2)-(8), Lagrangian relaxation can be used to add them to the objective function. The Lagrangian equation is:

[0056]

[0057] Among them, λ p , q and μ i are the Lagrange multipliers of the corresponding constraints, p(z) and q(z) represent the equality constraints (2) and (3), g i (z) represents the inequality constraint that makes (4)-(8), A 1LDenotes a convex problem with a unique optimal solution. The Karush-Kuhn-Tucker (KKT) condition is used to provide the optimality of the original problem, and an economic interpretation of the Lagrange multiplier is given. After the above model converges, the marginal electricity price of any node in the system can be obtained through the Lagrange equation, that is, the distribution network node price DLMP (distribution network node price) is obtained by taking the partial derivative of the Lagrange equation. Using Lagrange multipliers to analyze the power quality problem of the distribution network becomes an intuitive method. Therefore, DLMP is:

[0058]

[0059] Among them, λ p and q represents the shadow price of equations (2) and (3), and is the shadow price of inequality constraint (6), where when v i When the voltage amplitude exceeds the upper and lower boundaries, and Non-zero. DLMP consists of three parts: Energy Cost Component (ECC), Voltage Cost Component (VCC) and Loss Cost Component (LCC). The size of the network loss cost component is related to the shadow price of the system power balance constraint and the network loss factor; the size of the voltage cost component (VCC) is only related to the shadow price of the inequality constraint (6). If the voltage cost component value is too high, there will be a risk of voltage exceeding the limit.

[0060] 3) In power flow analysis, the node voltage sensitivity is the partial derivative of the injected power of all nodes with respect to the node voltage of other nodes. We can calculate the node voltage sensitivity according to the basic voltage sensitivity formula: and

[0061]

[0062] Among them, ΔP i is the active power change of node i, ΔV ij is the impact of node power change on other node voltages, ΔQ i is the node reactive power change of node i.

[0063] 4) When the node voltage exceeds the limit, different strategies are adopted according to the relationship between the power factor angle and the capacity constraint angle. When the value obtained by monitoring does not reach the set capacity constraint angle, the equipment performs reactive power compensation. The inductive reactive power to be output is calculated using formula (13):

[0064]

[0065] Among them, Q pv,b is the output inductive reactive power, U k is the node voltage of node K, U k,liM is the node voltage limit of node K, X∑ k is the node impedance.

[0066] 5) When the weak node always faces the maximum voltage deviation, the weak node is selected as the master node, and the standard voltage is set to:

[0067]

[0068] The minimum voltage regulation amplitude range is:

[0069]

[0070] In order to meet the conditions, the objective function is established by using the constraints and weak nodes:

[0071]

[0072] 6) According to the objective function of the energy storage planning model, the main constraints of establishing the energy storage planning model are:

[0073]

[0074] in, is the maximum value of reactive power compensation of the photovoltaic inverter, is the maximum value of the active power compensation of the battery, is the reactive voltage sensitivity, is the active voltage sensitivity.

[0075] Establish energy storage battery related constraints:

[0076] The charge and discharge constraints are:

[0077] 0≤V ch +V dis ≤1 (18)

[0078] 0≤P ych ≤u ess *V xch (19)

[0079] x_ess_s-u ess *(1-V xch )≤P ych ≤x_ess_s (20)

[0080] 0≤P ydis≤u ess *V xdis (twenty one)

[0081] x_ess_s-u ess (1-V xdis )≤P ydis ≤x_ess_s (22)

[0082] The SOC constraint is:

[0083]

[0084] cn=P xch +P xdis (twenty four)

[0085] y cn ≤0.2*u ess *x_ess_st (25)

[0086] y cn ≥cn-0.2*u ess *(1-x_ess_st) (26)

[0087]

[0088] 7) Establish line node constraints:

[0089] The active and reactive power constraints are:

[0090]

[0091] The branch Ohm's law constraint is:

[0092] V i 2 -V j 2 +(r ij 2 +x ij 2 )*I 2 -2(rP x +xQ x )=0 (29)

[0093] The operating voltage and current constraints are:

[0094] (0.95*12.66) 2 ≤V 2 ≤(1.05*12.66) 2 (30)

[0095] I 2 ≤0.1 (31)

[0096] The second-order cone relaxation constraint is:

[0097] ||2P x ,2Q x ,P ch ,P dis ,(I 2 -V 2 )||≤(I 2 +V 2 ) (32) The SOP operation constraints are:

[0098]

[0099] 8) Taking the minimization of the total cost of grid operation as the objective function and the BESS planning capacity that ensures grid safety as the boundary, an economic planning model and its constraints are established.

[0100] minC=C pare +C loss +C in (34)

[0101] Where C is the operating cost of the distribution network; C pare is the power interaction cost; C loss is the loss cost; C in Investment cost for distributed energy storage equipment.

[0102]

[0103] Among them, C pure,grid is the electricity purchase cost from the upper grid, C sell,grid is the revenue from selling electricity to the upper grid, C pure,grid and C sell,grid In the same period, there must be one that is 0, P pure,DG is the electricity purchase cost from the DG in the system, L is the total time period in the dispatching cycle, in this embodiment, L is 24; T is the duration of each time period, in this embodiment, T is 1h; α prue.t and α sell,t They are all parameters for purchasing and selling electricity. When purchasing electricity, α prue.t =1,α sell,t =0, when selling electricity, α is satisfied prue.t =0,α sell,t =1, c grid.t To purchase and sell electricity to the superior power grid, P grid.t is the interactive power, the purchase of electricity is positive, the sale of electricity is negative, N DG is the total amount of distributed generation (DG), P DG,t,i is the output power of the i-th DG, C DG,i The purchase price of electricity for the i-th DG.

[0104]

[0105] Among them, C loss,line is the system network loss cost, C loss,ESS is the loss cost of energy storage equipment, c loss,t is the loss electricity price, its value is the same as c grid.t Same, P loss,line,t is the network loss in period t, N ESS is the total amount of energy storage equipment, α c,t.j and α d,t,j All are charging and discharging parameters of energy storage equipment, P ESS,t,j is the charging and discharging power of the jth energy storage device in period t, and the charging condition satisfies α c,t.j =1, α d,t,j =0, P ESS,t,j <0, when discharging, α is satisfied c,t.j =0, α d,t,j =1, P ESS,t,j >0,η c,j and η d,j are the charging and discharging efficiencies of the j-th energy storage device, respectively.

[0106]

[0107] Among them, k e,j is the unit capacity management cost of the j-th energy storage device, E ESS,j is the capacity of the jth energy storage device, k p,j is the unit power conversion cost of the jth energy storage device, P N,j is the rated power of the jth energy storage device, N y,j is the useful life of the j-th energy storage device, and λ is the depreciation rate.

[0108] Constraints:

[0109] The operating constraints of distributed energy storage are:

[0110] P ESS,j,min ≤P ESS,t.j ≤P ESS ,j,max (38)

[0111] Among them, P ESS,j,max and P ESS,j,min are the upper and lower limits of the charging and discharging power of the jth energy storage device, respectively, ESS,j,min Taking the capacity of safe energy storage as the boundary, P ESS,j,max The limit is economic cost.

[0112] 9) Adjust the voltage of the weak voltage nodes according to the economic planning model and its constraints and the energy storage planning model and its constraints.

[0113] Embodiment 2

[0114] The present invention is implemented in a 33-node power grid environment. The present invention mainly uses the DLMP model and voltage sensitivity to obtain the minimum BESS required for voltage stabilization of weak nodes and high-cost nodes in the power grid under the condition of high photovoltaic leakage rate, so as to maximize the benefits.

[0115] Analyze the characteristics of IEEE-33 node distribution network, use Matpower 7.0 to calculate the power flow, and obtain the characteristics of distribution network. In order to intuitively obtain the characteristics of distribution network, such as Figure 2 As shown in Figure 1, the network loss problem of the distribution network is presented in the form of DLMP, that is, the higher the DLMP, the worse the power supply quality of the distribution network. Figure 2 There is no power generation equipment placed in the distribution network, so there is power allocation in the distribution network. DLMPs in different geographical locations show different characteristics. The terminal nodes that are far away from the upper-level power grid have greater fluctuations than the closer nodes.

[0116] When the node voltage in the power grid exceeds the limit, since the voltage of each node depends on the injected power of the related nodes with non-zero mutual sensitivity, the node voltage sensitivity of the current power grid can be calculated. and As shown in Tables 1 to 4, energy storage nodes 13-18 and energy storage nodes 28-33 are configured in this way. After reactive power injection is completed, that is, the reactive power compensation of the photovoltaic inverter is completed, the specific compensation value is 0.7482. By calculating the BESS planning model of the energy storage node, the optimal BESS value of the required target is obtained to be 1.1168.

[0117] Table 1

[0118]

[0119] Table 2

[0120]

[0121]

[0122] Table 3

[0123]

[0124] Table 4

[0125]

[0126] Embodiment 3

[0127] refer to Figure 7, the energy storage voltage regulation control system of the distribution network of the present invention comprises: a screening module for screening voltage weak nodes in the distribution network;

[0128] A determination module, used for determining the voltage sensitivity of the voltage-weak node;

[0129] A construction module, used to construct an energy storage planning model and its constraints and an economic planning model and its constraints based on the voltage sensitivity of the voltage weak node;

[0130] The regulating module is used to regulate the voltage of the weak voltage node according to the energy storage planning model and its constraints and the economic planning model and its constraints.

[0131] As an implementation mode of the present invention, the process of screening voltage weak nodes in the distribution network is:

[0132] Based on the DLMP model, weak voltage nodes in the distribution network are screened.

[0133] As an implementation mode of the present invention, the objective function of the energy storage planning model is:

[0134]

[0135] in, It is the maximum value of the active power compensation of the battery.

[0136] As an implementation mode of the present invention, the constraints of the energy storage planning model include main constraints, energy storage battery related constraints and line node constraints.

[0137] As an implementation mode of the present invention, the main constraints of the energy storage planning model are:

[0138]

[0139] in, is the maximum value of reactive power compensation of the photovoltaic inverter, is the maximum value of the active power compensation of the battery, is the reactive voltage sensitivity, is the active voltage sensitivity.

[0140] As an implementation mode of the present invention, the objective function of the economic planning model is:

[0141] minC=C pare +C loss +C in

[0142] Among them, C is the operating cost of the distribution network, C pare is the power interaction cost, C lossis the loss cost, C in Investment cost for distributed energy storage equipment.

[0143] As an implementation mode of the present invention, the constraints of the economic planning model are:

[0144] P ESS,j,min ≤P ESS,t.j ≤P ESS,j,max

[0145] Among them, P ESS,j,max and P ESS,j,min are the upper and lower limits of the charging and discharging power of the jth energy storage device, respectively, ESS,j,min Indicates that the capacity of the safe configuration energy storage is the boundary, P ESS,j,max Indicates that the boundary is limited by economic cost.

[0146] The division of modules in the embodiments of the present application is schematic and is only a logical function division. There may be other division methods in actual implementation. In addition, each functional module in each embodiment of the present application may be integrated into a processor, or may exist physically separately, or two or more modules may be integrated into one module. The above-mentioned integrated modules may be implemented in the form of hardware or in the form of software functional modules.

[0147] Embodiment 4

[0148] A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the energy storage voltage regulation control method of the distribution network are implemented, for example, including: screening voltage weak nodes in the distribution network; determining the voltage sensitivity of the voltage weak nodes; constructing an energy storage planning model and its constraints and an economic planning model and its constraints based on the voltage sensitivity of the voltage weak nodes; and adjusting the voltage of the voltage weak nodes according to the energy storage planning model and its constraints and the economic planning model and its constraints. The memory may include a memory, such as a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk memory, etc. The processor, the network interface, and the memory are interconnected through an internal bus, and the internal bus may be an industrial standard architecture bus, a peripheral component interconnection standard bus, an extended industrial standard architecture bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. The memory is used to store programs. Specifically, the program may include a program code, and the program code includes computer operation instructions. The memory may include a memory and a non-volatile memory, and provide instructions and data to the processor.

[0149] Embodiment 5

[0150] A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the energy storage voltage regulation control method of the distribution network are implemented, for example, including: screening voltage-weak nodes in the distribution network; determining the voltage sensitivity of the voltage-weak nodes; constructing an energy storage planning model and its constraints and an economic planning model and its constraints based on the voltage sensitivity of the voltage-weak nodes; adjusting the voltage of the voltage-weak nodes according to the energy storage planning model and its constraints and the economic planning model and its constraints. Specifically, the computer-readable storage medium includes, but is not limited to, for example, volatile memory and / or non-volatile memory. The volatile memory may include random access memory (RAM) and / or cache memory (cache), etc. The non-volatile memory may include a read-only memory (ROM), a hard disk, a flash memory, an optical disk, a magnetic disk, etc.

[0151] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0152] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0153] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0154] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0155] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for controlling energy storage voltage regulation in a distribution network, characterized in that: include: Screening of weak voltage nodes in distribution network; Determine the voltage sensitivity of voltage-weak nodes; Building an energy storage planning model and its constraints and an economic planning model and its constraints based on the voltage sensitivity of the voltage weak node; The voltage of the voltage-weak node is adjusted according to the energy storage planning model and its constraints and the economic planning model and its constraints.

2. The energy storage voltage regulation control method of the distribution network according to claim 1, characterized in that: The process of screening the voltage weak nodes in the distribution network is as follows: Based on the DLMP model, weak voltage nodes in the distribution network are screened.

3. The energy storage voltage regulation control method of the distribution network according to claim 1, characterized in that: The objective function of the energy storage planning model is: in, It is the maximum value of the active power compensation of the battery.

4. The energy storage voltage regulation control method of the distribution network according to claim 1, characterized in that: The constraints of the energy storage planning model include main constraints, energy storage battery related constraints and line node constraints.

5. The energy storage voltage regulation control method of the distribution network according to claim 4, characterized in that: The main constraints of the energy storage planning model are: in, is the maximum value of reactive power compensation of the photovoltaic inverter, is the maximum value of the active power compensation of the battery, is the reactive voltage sensitivity, is the active voltage sensitivity.

6. The energy storage voltage regulation control method of the distribution network according to claim 1, characterized in that: The objective function of the economic planning model is: minC=C pare +C loss +C in (34) Among them, C is the operating cost of the distribution network, C pare is the power interaction cost, C loss is the loss cost, C in Investment cost for distributed energy storage equipment.

7. The energy storage voltage regulation control method of the distribution network according to claim 1, characterized in that: The constraints of the economic planning model are: P ESS,j,min ≤P ESS,t.j ≤P ESS ,j,max (38) Among them, P ESS,j,max and P ESS,j,min are the upper and lower limits of the charging and discharging power of the jth energy storage device, respectively, ESS,j,min Indicates that the capacity of the safe configuration energy storage is the boundary, P ESS,j,max Indicates that the boundary is limited by economic cost.

8. An energy storage voltage regulation control system for a distribution network, characterized in that: include: A screening module is used to screen the weak voltage nodes in the distribution network; A determination module, used for determining the voltage sensitivity of the voltage-weak node; A construction module, used to construct an energy storage planning model and its constraints and an economic planning model and its constraints based on the voltage sensitivity of the voltage weak node; The regulating module is used to regulate the voltage of the weak voltage node according to the energy storage planning model and its constraints and the economic planning model and its constraints.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the energy storage voltage regulation control method for the distribution network as described in any one of claims 1-7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the energy storage voltage regulation control method for a distribution network as described in any one of claims 1 to 7 are implemented.

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