Control method and device for electric vehicle charging and discharging station to participate in voltage regulation of power distribution network

Abstract

The invention relates to the technical field of power distribution network voltage regulation, in particular to a control method and device for electric vehicle charging and discharging stations to participate in power distribution network voltage regulation. And establishing and solving an optimization model to obtain the action of the reactive power compensation device, an electric vehicle charging and discharging station guidance power curve and a power distribution network operation state, and calculating droop control parameters. In the intra-day stage, actual data are obtained according to the results, the active power of the electric vehicle charging and discharging station is updated in a rolling mode, local reactive voltage droop control is conducted according to droop control parameters, and reactive power output of the electric vehicle charging station is determined based on the calculated reactive power increment. Therefore, the problems that in the related technology, the control capacity of the electric vehicle charging equipment on reactive power is not considered, only the reactive reference power is solved, and self-adaptive adjustment control in real-time control is not considered, so that the flexibility and the supporting capacity of the charging equipment are wasted are solved.

Description

Technical Field

[0001] The present application relates to the technical field of voltage regulation in distribution networks, and in particular to a control method and device for an electric vehicle charging and discharging station to participate in voltage regulation in distribution networks. Background Art

[0002] In the related technology, automatic voltage regulation is mainly achieved by providing reactive power through distributed generators, or by solving optimization problems to obtain the reactive power output of electric vehicle charging stations and the switching configuration of reactive compensation equipment, and based on this, four-level reactive linkage control of the reactive power and voltage level of the distribution network is performed.

[0003] However, in the related art, the method of distributed generators providing reactive power to achieve automatic voltage regulation does not take into account the reactive support of electric vehicle charging equipment. The reactive linkage control strategy is based on solving optimization problems and uses various facilities for regulation in a hierarchical manner. The response time is long, and the local adaptive adjustment of the equipment is not taken into account. The voltage regulation capability is limited and needs to be improved urgently. Summary of the invention

[0004] The present application provides a control method and device for an electric vehicle charging and discharging station to participate in the voltage regulation of a distribution network, in order to solve the problems in the related art that the control capability of the electric vehicle charging equipment over reactive power is not considered, only reactive reference power is solved, and adaptive regulation control in real-time control is not considered, thus resulting in waste of flexibility and support capability of the charging equipment.

[0005] The first aspect of the present application provides a control method for an electric vehicle charging and discharging station to participate in the voltage regulation of a distribution network, comprising the following steps: in the day-ahead stage, generating at least one typical scenario of distributed photovoltaics, establishing and solving a day-ahead stage optimization model based on the at least one typical scenario of distributed photovoltaics, so as to obtain the action of a reactive compensation device, the guiding power curve of the electric vehicle charging and discharging station, the operating state of the distribution network, and calculating the droop control parameter. In the intraday stage, based on the action of the reactive compensation device, the guiding power curve of the electric vehicle charging station and the operating state of the distribution network, the actual photovoltaic output of the electric vehicle charging station and the actual charging demand of the electric vehicle are obtained, based on the actual photovoltaic output and the actual charging demand of the electric vehicle, the active power of the electric vehicle charging and discharging station is updated in a rolling manner, and at the same time, local reactive voltage droop control is performed according to the droop control parameter, so as to determine the reactive power output of the electric vehicle charging station based on the calculated reactive power increment.

[0006] Through the above technical scheme, the embodiment of the present application can generate a typical scenario of distributed photovoltaics in the day-ahead stage and establish a solution optimization model, so as to realize the precise arrangement of the action of the reactive compensation device, the acquisition of the guiding power curve of the electric vehicle charging and discharging station, and the clarification of the operating status of the distribution network, thereby laying the foundation for subsequent regulation; in the intraday stage, the active power is updated based on the actual situation, which can effectively adapt to the uncertainty of electric vehicle charging and photovoltaic output and ensure the balance of active power; at the same time, the reactive voltage droop control is performed by using the droop control parameters, and the reactive power output can be flexibly adjusted according to the voltage change, the node voltage is stabilized, and the reactive regulation capability of the electric vehicle charging and discharging station is fully utilized. Taking into account various factors, multi-stage coordinated regulation is carried out to comprehensively improve the stability, flexibility and reliability of the distribution network system, and effectively respond to the challenges of complex power system operation.

[0007] Optionally, in one embodiment of the present application, the calculation formula of the droop parameter reference value is:

[0008]

[0009] in, is the slope of the local reactive power-voltage droop control of the electric vehicle charging and discharging station node. The dead zone width can be set to 0 or taken according to experience. s is the scenario number. Ω s is the scene set, ω s is the scenario probability, j is the target node for voltage regulation, t is the current time, i is the node for the electric vehicle charging and discharging station, is the sensitivity of the node voltage of the target node j at time t under scenario s relative to the reactive power of the node i of the electric vehicle charging and discharging station.

[0010] Through the above technical solution, the embodiment of the present application can more accurately reflect the demand for reactive power regulation of electric vehicle charging and discharging stations due to changes in the operating status of the distribution network through this calculation method, so that the electric vehicle charging and discharging station can more effectively adapt to the dynamic characteristics of the distribution network when performing reactive-voltage droop control, enhance the ability to regulate node voltage, improve the stability of the distribution network voltage, and help optimize the overall reactive power distribution and voltage regulation effect of the distribution network.

[0011] Optionally, in one embodiment of the present application, the calculation formula of the reactive power increment is:

[0012]

[0013] in, is the reactive power increment, j is the target node for voltage regulation, t is the current moment, i is the node for the electric vehicle charging and discharging station, and is the maximum reactive power that node i can increase / decrease at time t, is the slope of the local reactive power-voltage droop control at the electric vehicle charging and discharging station node, V j,t is the node voltage of node j at time t, ΔV dead is the dead zone width, which can be set to 0 or based on experience. N is the voltage reference value, V up is the voltage upper limit, V down is the voltage lower limit.

[0014] Through the above technical solution, the embodiment of the present application can calculate the reactive power increment according to the relationship between the target node voltage and the voltage upper and lower limits and the reference value through this formula, so as to realize accurate and dynamic adjustment of the reactive power output of the electric vehicle charging station.

[0015] Optionally, in one embodiment of the present application, the reactive power output is:

[0016]

[0017] Among them, i is the node of the electric vehicle charging and discharging station, t is the current time, is the reactive power of the electric vehicle charging and discharging station, is the maximum reactive power that can be output by node i of the electric vehicle charging and discharging station, is the actual reactive power of node i of the electric vehicle charging and discharging station at time t-1, is the reactive power increment.

[0018] Through the above technical scheme, the embodiment of the present application can reasonably and effectively limit and adjust the reactive power output according to the reactive power increment and the upper and lower limits of the reactive power of the electric vehicle charging and discharging station, ensuring that the reactive power output is within a reasonable range, thereby stabilizing the reactive power balance of the distribution network, enhancing the stability and reliability of the voltage regulation of the distribution network, and also ensuring the safety and effectiveness of the operation of the electric vehicle charging and discharging station itself.

[0019] The second aspect of the present application provides a control device for an electric vehicle charging and discharging station to participate in the voltage regulation of the distribution network, including: a day-ahead control module, which is used to generate at least one typical scenario of distributed photovoltaics in the day-ahead stage, and to establish and solve the day-ahead stage optimization model based on the at least one typical scenario of distributed photovoltaics, so as to obtain the action of the reactive compensation device, the guiding power curve of the electric vehicle charging and discharging station, the operating state of the distribution network, and calculate the droop control parameters. An intraday control module is used to obtain the actual photovoltaic output of the electric vehicle charging station and the actual charging demand of the electric vehicle based on the action of the reactive compensation device, the guiding power curve of the electric vehicle charging station and the operating state of the distribution network in the day-ahead stage, and to update the active power of the electric vehicle charging and discharging station based on the actual photovoltaic output and the actual charging demand of the electric vehicle, and to perform local reactive voltage droop control according to the droop control parameters, so as to determine the reactive power output of the electric vehicle charging station based on the calculated reactive power increment.

[0020] Through the above technical scheme, the embodiment of the present application can generate a typical scenario of distributed photovoltaics in the day-ahead stage and establish a solution optimization model, so as to realize the precise arrangement of the action of the reactive compensation device, the acquisition of the guiding power curve of the electric vehicle charging and discharging station, and the clarification of the operating status of the distribution network, thereby laying the foundation for subsequent regulation; in the intraday stage, the active power is updated based on the actual situation, which can effectively adapt to the uncertainty of electric vehicle charging and photovoltaic output and ensure the balance of active power; at the same time, the reactive voltage droop control is performed by using the droop control parameters, and the reactive power output can be flexibly adjusted according to the voltage change, the node voltage is stabilized, and the reactive regulation capability of the electric vehicle charging and discharging station is fully utilized. Taking into account various factors, multi-stage coordinated regulation is carried out to comprehensively improve the stability, flexibility and reliability of the distribution network system, and effectively respond to the challenges of complex power system operation.

[0021] Optionally, in one embodiment of the present application, the calculation formula of the droop parameter reference value is:

[0022]

[0023] in, is the slope of the local reactive power-voltage droop control of the electric vehicle charging and discharging station node. The dead zone width can be set to 0 or taken according to experience. s is the scenario number. Ω s is the scene set, ω s is the scenario probability, j is the target node for voltage regulation, t is the current time, i is the node for the electric vehicle charging and discharging station, is the sensitivity of the node voltage of the target node j at time t under scenario s relative to the reactive power of the node i of the electric vehicle charging and discharging station.

[0024] Through the above technical solution, the embodiment of the present application can more accurately reflect the demand for reactive power regulation of electric vehicle charging and discharging stations due to changes in the operating status of the distribution network through this calculation method, so that the electric vehicle charging and discharging station can more effectively adapt to the dynamic characteristics of the distribution network when performing reactive-voltage droop control, enhance the ability to regulate node voltage, improve the stability of the distribution network voltage, and help optimize the overall reactive power distribution and voltage regulation effect of the distribution network.

[0025] Optionally, in one embodiment of the present application, the calculation formula of the reactive power increment is:

[0026]

[0027] in, is the reactive power increment, j is the target node for voltage regulation, t is the current moment, i is the node for the electric vehicle charging and discharging station, and is the maximum reactive power that node i can increase / decrease at time t, is the slope of the local reactive power-voltage droop control at the electric vehicle charging and discharging station node, V j,t is the node voltage of node j at time t, ΔV dead is the dead zone width, which can be set to 0 or based on experience. N is the voltage reference value, V up is the voltage upper limit, V down is the voltage lower limit.

[0028] Through the above technical solution, the embodiment of the present application can calculate the reactive power increment according to the relationship between the target node voltage and the voltage upper and lower limits and the reference value through this formula, so as to realize accurate and dynamic adjustment of the reactive power output of the electric vehicle charging station.

[0029] Optionally, in one embodiment of the present application, the reactive power output is:

[0030]

[0031] Among them, i is the node of the electric vehicle charging and discharging station, t is the current time, is the reactive power of the electric vehicle charging and discharging station, is the maximum reactive power that can be output by node i of the electric vehicle charging and discharging station, is the actual reactive power of node i of the electric vehicle charging and discharging station at time t-1, is the reactive power increment.

[0032] Through the above technical scheme, the embodiment of the present application can reasonably and effectively limit and adjust the reactive power output according to the reactive power increment and the upper and lower limits of the reactive power of the electric vehicle charging and discharging station, ensuring that the reactive power output is within a reasonable range, thereby stabilizing the reactive power balance of the distribution network, enhancing the stability and reliability of the voltage regulation of the distribution network, and also ensuring the safety and effectiveness of the operation of the electric vehicle charging and discharging station itself.

[0033] The third aspect of the present application provides an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the control method for an electric vehicle charging and discharging station to participate in voltage regulation of a distribution network as described in the above embodiment.

[0034] A fourth aspect of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, which, when executed by a processor, implements the above control method for an electric vehicle charging and discharging station to participate in voltage regulation of a distribution network.

[0035] The fifth aspect of the present application provides a computer program product, including a computer program, which, when executed, is used to implement the above-mentioned control method for electric vehicle charging and discharging stations to participate in the voltage regulation of the distribution network.

[0036] The embodiments of the present application can accurately arrange the action of the reactive power compensation device in the day-ahead stage, obtain the guidance power curve of the electric vehicle charging and discharging station, and clarify the operating status of the distribution network, laying the foundation for subsequent regulation and control; in the intraday stage, the active power is rolled over to deal with uncertainty, and the reactive power output is flexibly adjusted by using the droop control parameters to stabilize the voltage, give full play to the reactive power regulation capability of the electric vehicle charging and discharging station, and collaboratively improve the stability, flexibility and reliability of the distribution network in multiple stages, accurately reflect demand, optimize reactive power distribution and voltage regulation, realize precise dynamic adjustment of reactive power, ensure that it is within a reasonable range, and ensure safe, stable and effective operation of the system.

[0037] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0039] Figure 1 A flow chart of a control method for an electric vehicle charging and discharging station to participate in voltage regulation of a distribution network according to an embodiment of the present application;

[0040] Figure 2This is a flow chart of day-ahead stage control according to one embodiment of the present application;

[0041] Figure 3 A schematic diagram of charging power and energy boundary of an electric vehicle according to an embodiment of the present application;

[0042] Figure 4 This is a flow chart of intraday stage regulation according to one embodiment of the present application;

[0043] Figure 5 A schematic diagram of the relationship between reactive power and voltage in droop control according to an embodiment of the present application;

[0044] Figure 6 A schematic diagram of a control method for an electric vehicle charging and discharging station to participate in voltage regulation of a distribution network according to a specific embodiment of the present application;

[0045] Figure 7 A schematic diagram of the structure of a control device for an electric vehicle charging and discharging station participating in voltage regulation of a distribution network provided according to an embodiment of the present application;

[0046] Figure 8 The figure is a structural example diagram of an electronic device provided according to an embodiment of the present application. DETAILED DESCRIPTION

[0047] Embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0048] The following describes the control method and device of the electric vehicle charging and discharging station participating in the voltage regulation of the distribution network in the embodiment of the present application with reference to the accompanying drawings. In view of the related technologies mentioned in the above background technology center, the control ability of the electric vehicle charging equipment on reactive power is not considered, only the reactive reference power is solved, and the adaptive adjustment control in the real-time control is not considered, which leads to the problems of waste of charging equipment flexibility and support capacity. The present application provides a control method for the electric vehicle charging and discharging station to participate in the voltage regulation of the distribution network. In this method, a typical scenario of distributed photovoltaic can be generated in the day-ahead stage and a solution optimization model can be established to achieve the precise arrangement of the action of the reactive compensation device, the acquisition of the guiding power curve of the electric vehicle charging and discharging station, and the clarification of the operation status of the distribution network, laying the foundation for subsequent regulation; the active power is updated based on the actual situation in the intraday stage, which can effectively adapt to the uncertainty of electric vehicle charging and photovoltaic output, and ensure the balance of active power; at the same time, the reactive voltage droop control is performed by using the droop control parameters, and the reactive power output can be flexibly adjusted according to the voltage change, the node voltage is stabilized, and the reactive regulation ability of the electric vehicle charging and discharging station is fully utilized. Considering multiple factors, multi-stage coordinated regulation, the stability, flexibility and reliability of the distribution network system are comprehensively improved, and the challenges of complex power system operation are effectively responded to. This solves the problem in the related technology that the control capability of the electric vehicle charging equipment over reactive power is not considered, and only the reactive reference power is solved without considering the adaptive adjustment control in the real-time control, thus resulting in a waste of the flexibility and supporting capacity of the charging equipment.

[0049] Specifically, Figure 1 A flow chart of a control method for an electric vehicle charging and discharging station to participate in voltage regulation of a distribution network provided in an embodiment of the present application.

[0050] like Figure 1 As shown, the control method of the electric vehicle charging and discharging station participating in the voltage regulation of the distribution network includes the following steps:

[0051] In step S101, at least one typical distributed photovoltaic scenario is generated in the day-ahead stage, and based on the at least one typical distributed photovoltaic scenario, an optimization model for the day-ahead stage is established and solved to obtain the action of the reactive compensation device, the guidance power curve of the electric vehicle charging and discharging station, the operating status of the distribution network, and calculate the droop control parameters.

[0052] It is understandable that the distribution network in the embodiment of the present application can be connected to an electric vehicle charging and discharging station, distributed photovoltaic and reactive power compensation devices. Electric vehicle charging stations usually only have active power regulation capabilities. The electric vehicle charging and discharging stations in the embodiment of the present application have four-quadrant regulation capabilities, that is, both active power and reactive power can be regulated in both positive and negative directions. The charging and discharging piles with four-quadrant regulation capabilities can provide adjustable reactive power under certain power factor and capacity restrictions. The reactive power compensation device of the distribution network in the embodiment of the present application may include OLTC (On-Load Tap Changer) and CB (Capacitor Bank), etc.

[0053] In the actual implementation process, considering the prediction error of photovoltaic power generation output, a large number of scenarios are generated and simplified into a typical scenario set. On this basis, a stochastic optimization model for day-ahead stage regulation is constructed. The time window of regulation is 24 hours, and the time interval is 1 hour (it can also be set to other values ​​such as 15 minutes). Through day-ahead stage regulation, the action of reactive compensation devices (such as OLTC switching action and the number of CB access groups, etc.) can be pre-arranged, and reference values ​​for each period of the droop control parameters of electric vehicle charging and discharging stations in the intraday stage can be provided.

[0054] Specifically, the day-ahead operation optimization mainly involves the action decision of the reactive power compensation device in the distribution network and the reference power curve of nodes with active power regulation capabilities such as electric vehicle charging and discharging stations. Figure 2 As shown:

[0055] Step S201: Generate typical scenarios of distributed photovoltaics.

[0056] In order to consider the impact of PV output uncertainty, Beta distribution is used to characterize PV output uncertainty, and a probability distribution model of actual PV processing related to the predicted output parameters is established. A large number of PV output scenarios are generated using the Monte Carlo simulation method, and the K-means clustering method is applied to reduce them to representative typical scenarios.

[0057] Step S202: Establish and solve the following day-ahead optimization model.

[0058] The objective function of the day-ahead optimization model is to minimize the expected value of the total operating cost for the next day. Here, schematically, the operating cost mainly refers to the total cost of purchasing electricity from the root node, and the formula is as follows:

[0059]

[0060] Where s is the scene number, ω s is the scene probability, is the electricity purchase cost, π tis the electricity price, P s,0,t is the total power purchased by the entire distribution network through the root node, and Δt is the duration of each time period.

[0061] Specifically, the constraints included in the day-ahead optimization model are divided into four categories:

[0062] 1) Constraints related to electric vehicle charging stations: The operation constraints of electric vehicle charging stations are mainly used to ensure that the charging needs of electric vehicles are met, that is, before the vehicle leaves the charging station, the SoC (State of Charge) or the accumulated charging power has reached the user's expected threshold. This part of the constraints is mainly based on Figure 3 The electric vehicle charging power and energy boundary model is described as shown in the following formula.

[0063]

[0064] in, Charging power for electric vehicles, is the lower bound of the charging power of the electric vehicle charging and discharging station, is the upper limit of the charging power of the electric vehicle charging and discharging station, is the accumulated charging energy of the electric vehicle charging and discharging station, is the lower bound of the cumulative charging energy of the electric vehicle charging and discharging station, is the upper bound of the cumulative charging energy of the electric vehicle charging and discharging station, and η is the charging and discharging efficiency.

[0065] 2) Distribution network constraints: The constraints related to the distribution network mainly include the distribution network power flow equation, branch power flow constraints, node voltage constraints, etc. The formula is as follows:

[0066]

[0067] L s,ij,t =(I s,ij,t ) 2 (10)

[0068] U s,i,t =(V s,i,t ) 2 (11)

[0069] U s,i,t -U s,j,t =2(r ij P s,ij,t +x ij Q s,ij,t )-[(r ij ) 2 +(x ij ) 2 ]L s,ij,t (12)

[0070]

[0071] (P s,ij,t ) 2 +(Q s,ij,t ) 2 ≤(S ij ) 2 (14)

[0072]

[0073] Formulas (6)-(9) provide active power and reactive power balance constraints for each node, Formulas (10)-(11) represent the introduced auxiliary variable constraints, Formula (12) represents the constraints on branch power flow relationships, Formula (14) represents the constraints on branch transmission capacity, and Formula (15) represents the upper and lower limits of node voltage. Formula (13) relaxes the nonlinear part of the power flow equation into a second-order cone programming form, so that it can be solved using a solver.

[0074] Among them, Ω toi ,Ω fromi is the set of nodes connected to node i by branches, whose branches start and end at node i respectively. s,ij,t is the active power on branch ij (the branch with node i as the starting point and node j as the midpoint) under scenario s and time t, Q s,ij,t is the reactive power on branch ij (the branch with node i as the starting point and node j as the midpoint) under scenario s and time t, S ij is the rated transmission capacity of branch ij, r ij is the resistance of branch ij, x ij is the reactance value of branch ij, is the total injected active power of node i at time t in scenario s, is the active power of the generator at node i at time t in scenario s, is the distributed photovoltaic active power of node i at time t in scenario s, Charging power for electric vehicles, is the active power value of other conventional loads at node i at time t in scenario s, is the total injected reactive power of node i at time t in scenario s, is the reactive power of the generator at node i at time t under scenario s, is the distributed photovoltaic reactive power of node i at time t under scenario s, is the reactive power of the electric vehicle charging and discharging station at node i at time t, is the reactive power of the reactive compensation device at node i at time t in scenario s, is the reactive power value of other conventional loads at node i at time t in scenario s, Is,ij,t is the transmission current on branch ij, V s,i,t is the voltage of node i on branch ij, L s,ij,t , U s,i,t V is an auxiliary variable introduced by the quadratic term in the linear model. min is the lower limit of the node voltage, V max is the upper limit of the node voltage.

[0075] 3) Reactive power compensation device constraints: For reactive power compensation devices such as CB in the distribution network, the following constraints usually need to be met:

[0076]

[0077] in, is the number of CB input groups, is the maximum number of input groups, is the maximum number of adjustment groups for a single action, ΔQ CB is the rated capacity of a single group of capacitors. Formula (16) limits the range of the number of CB input groups, Formula (18) calculates the reactive power provided by CB, and Formula (17) is a nonlinear constraint that limits the number of adjustment groups in a single adjustment. It can be transformed into the following form by introducing auxiliary variables:

[0078]

[0079] 4) Constraints on photovoltaic power generation: The upper limit of distributed photovoltaic output in the distribution network is limited by weather and other factors. Photovoltaics usually operate in maximum power point mode, while having a certain ability to reduce output. The constraints on photovoltaic nodes are as follows:

[0080]

[0081] in, is the rated capacity of the PV inverter, is the maximum value of photovoltaic reactive power processing, is the actual value of photovoltaic reactive power processing, is the minimum allowable power factor of distributed photovoltaics. Equations (21)-(22) limit the range of photovoltaic active and reactive power output, Equation (23) is the photovoltaic capacity constraint, and Equation (24) is the power factor constraint.

[0082] 5) Energy storage constraints: The constraints of energy storage nodes are as follows:

[0083]

[0084] in, is the charging flag variable of energy storage i at time t in scenario s, is the discharge flag variable of energy storage i at time t under scenario s, is the rated active power of energy storage device i, is the rated reactive power of energy storage device i, is the rated apparent power of energy storage device i, is the rated capacity of energy storage device i, E s,i,t is the storage capacity of energy storage i at time t under scenario s, η c is the charging efficiency of battery energy storage, η d is the discharge efficiency of battery energy storage, SOC min SOC is the lower limit of the state of charge of the battery energy storage operation. max is the upper limit of the state of charge of the battery energy storage operation. In order to give full play to the reactive support capability of the energy storage, its power factor is not restricted. Formulas (25)-(26) give the energy storage charging and discharging power range, formula (27) is the relationship between energy storage energy and power, formulas (28)-(29) constrain the reactive power range of the energy storage, formula (30) limits the range of energy storage charge state, and formula (31) represents the continuity of the energy storage operation state.

[0085] By solving the above-mentioned day-ahead control optimization model, the action of the reactive power compensation device, the guidance power curve of the electric vehicle charging and discharging station, the operating status of the distribution network, etc. can be obtained.

[0086] Step S203: Calculate the reference value of the droop parameter.

[0087] The reactive power regulation of the electric vehicle charging and discharging station adopts a local droop control method. Considering that the operating status of the distribution network and the charging station may change significantly in different time periods, the embodiment of the present application adopts a time-varying droop parameter determination method, that is, the droop parameters of the charging station node may be different in different time periods.

[0088] The embodiment of the present application can obtain the operating status of the distribution network in each time period (including but not limited to branch power flow, node voltage, etc.). The Jacobian matrix in the power flow equation can be restored based on this, and by inverting the Jacobian matrix, the sensitivity of the target node voltage to the reactive power injection of the electric vehicle charging station node can be calculated according to formula (25), and the formula is as follows:

[0089]

[0090] Therefore, the calculation formula for the reference value of the droop parameter of the electric vehicle charging and discharging station node is:

[0091]

[0092] in, is the slope of the local reactive power-voltage droop control of the electric vehicle charging and discharging station node. The dead zone width can be set to 0 or taken according to experience. s is the scenario number. Ω s is the scene set, ω s is the scenario probability, j is the target node for voltage regulation, t is the current time, i is the node for the electric vehicle charging and discharging station, is the sensitivity of the node voltage of the target node j at time t under scenario s relative to the reactive power of the node i of the electric vehicle charging and discharging station.

[0093] On the one hand, the embodiment of the present application can establish a rolling optimization model to correct the active output by considering the actual photovoltaic output and the actual charging demand of electric vehicles. At the same time, combined with various constraints, it can effectively respond to real-time changes, improve the accuracy and adaptability of regulation, better balance the supply and demand of electricity, reduce costs and improve system operation efficiency. On the other hand, by utilizing the reactive voltage droop control of the electric vehicle charging and discharging station, the reactive power output is flexibly adjusted when the voltage exceeds the limit based on the day-ahead calibration parameters, giving full play to the advantages of electric vehicles as flexible resources, enhancing the voltage regulation capability of the distribution network, helping to maintain the voltage stability of the distribution network, reducing the adverse effects of voltage fluctuations on the power grid and user equipment, and improving the overall reliability and power quality of the distribution network.

[0094] In step S102, during the intraday stage, based on the action of the reactive compensation device, the guiding power curve of the electric vehicle charging station and the operating status of the distribution network, the actual photovoltaic output of the electric vehicle charging station and the actual charging demand of the electric vehicle are obtained, and based on the actual photovoltaic output and the actual charging demand of the electric vehicle, the active power of the electric vehicle charging and discharging station is updated in a rolling manner, and at the same time, local reactive voltage droop control is performed according to the droop control parameters to determine the reactive power output of the electric vehicle charging station based on the calculated reactive power increment.

[0095] It is understandable that the intraday stage regulation is carried out on the basis of the day-ahead results, and the regulation time window can be 3 hours, which can be optimized every 15 minutes. The action of the reactive power compensation device uses the result of the day-ahead regulation decision. The electric vehicle charging and discharging station performs local droop control on the reactive power according to the droop parameter reference value given in the day-ahead stage to mitigate the risk of voltage exceeding the limit at its own node, and performs rolling optimization and update on the active power according to the actual output of distributed photovoltaics and the actual charging demand of electric vehicles.

[0096] In the actual implementation process, based on the action of the reactive power compensation device determined in the day-ahead stage, in the real-time stage, the active power of the electric vehicle charging station is updated in a rolling manner according to the updated actual photovoltaic output and the actual charging demand of the electric vehicle. At the same time, the electric vehicle charging and discharging station can perform local reactive power voltage droop control according to the droop parameters calibrated in the day-ahead stage. The intraday stage control steps are as follows: Figure 4 As shown:

[0097] Step S401: Active power rolling optimization.

[0098] Since the charging behavior of electric vehicles and the photovoltaic output in the real-time stage are likely to deviate from those in the day-ahead stage, in the real-time stage, a rolling optimization model is first established to correct the active output of the electric vehicle charging station. The objective function only considers the electricity cost, as shown below:

[0099]

[0100] The constraints include the electric vehicle charging station constraints with updated power and energy boundaries, the photovoltaic constraints with updated photovoltaic output, the energy storage constraints, and the distribution network constraints with predetermined reactive power compensation. The specific constraints are as follows:

[0101]

[0102] -SOC base δ bess ≤SOC i,t -SOC ref ≤SOC base δ bess (58)

[0103]

[0104] Among them, equations (35)-(57) are consistent with the form and meaning of the day-ahead optimization model, and the superscript RT is added to refer to the intraday variables; equations (58)-(59) are constraints introduced in the intraday stage, which limit the deviation range of the energy trajectory of energy storage and electric vehicles from the reference trajectory obtained by day-ahead decision-making. bess With δ EV,e is the allowable deviation ratio.

[0105] Step S402: reactive power droop control of the electric vehicle charging and discharging station.

[0106] According to the droop control parameters of the electric vehicle charging and discharging station calculated in the day-ahead stage, when the voltage of the target node j exceeds the limit, the electric vehicle charging and discharging station can calculate the reactive power increment according to its own droop parameters and the actual active and reactive power as follows:

[0107]

[0108] in, is the reactive power increment, j is the target node for voltage regulation, t is the current moment, i is the node for the electric vehicle charging and discharging station, and is the maximum reactive power that node i can increase / decrease at time t, is the slope of the local reactive power-voltage droop control at the electric vehicle charging and discharging station node, V j,t is the node voltage of node j at time t, ΔV dead is the dead zone width, which can be set to 0 or based on experience. N is the voltage reference value, V up is the voltage upper limit, V down is the voltage lower limit. The relationship between the reactive power change value and the voltage change is as follows: Figure 5 shown.

[0109] On this basis, the reactive power output of the electric vehicle charging station can be adjusted as follows:

[0110]

[0111] Among them, i is the node of the electric vehicle charging and discharging station, t is the current time, is the reactive power of the electric vehicle charging and discharging station, is the maximum reactive power that can be output by node i of the electric vehicle charging and discharging station, is the actual reactive power of node i of the electric vehicle charging and discharging station at time t-1, is the reactive power increment.

[0112] The embodiment of the present application establishes a rolling optimization model to correct the active output by comprehensively considering a variety of practical factors, and combines various constraints. It can not only accurately adapt to real-time changes and improve the accuracy and adaptability of regulation, but also optimize the balance of power supply and demand, reduce costs, and improve system operation efficiency. At the same time, with the help of reactive voltage droop control of electric vehicle charging and discharging stations, the reactive power output is flexibly adjusted when the voltage is abnormal according to the calibration parameters a few days ago, giving full play to the resource advantages of electric vehicle flexibility, effectively enhancing the voltage regulation capability of the distribution network, maintaining voltage stability, and reducing the adverse effects of fluctuations on the power grid and equipment, thereby improving the overall reliability and power quality of the distribution network, and providing strong support for the stable and efficient operation of the power system.

[0113] The following is a detailed description of the control method of the electric vehicle charging and discharging station participating in the voltage regulation of the distribution network of the present application with a specific embodiment. Figure 6 As shown, Figure 6 The schematic diagram of the framework of the control method for electric vehicle charging and discharging stations to participate in the voltage regulation of the distribution network.

[0114] Overall, the framework presents a hierarchical and phased control system, which achieves the goal of electric vehicle charging and discharging stations participating in the voltage regulation of the distribution network through operations and information interactions at different stages.

[0115] On the one hand, in the day-ahead stage, firstly, considering the prediction error of photovoltaic power generation output, a large number of photovoltaic output scenarios are generated by using Beta distribution and Monte Carlo simulation, and a typical scenario set is obtained by K-means clustering. Then, an optimization model with the expected value of the next day's total operating cost minimization as the objective function (including but not limited to the power purchase cost and the cost of reactive compensation device operation) is constructed. Its constraints include electric vehicle charging stations (ensuring that charging demand is met, involving constraints such as power and energy boundaries), distribution networks (including but not limited to power flow equations, branch power flows, node voltages, etc.), reactive compensation devices (limiting the number of input groups, adjusting the number of groups, etc.), photovoltaic power generation (considering constraints such as output upper limit and power factor), and energy storage (clarifying constraints such as charging and discharging power, energy and power relationship). By solving the model, the reactive compensation device action, the electric vehicle charging and discharging station guidance power curve and the distribution network operation status are obtained. Finally, based on the distribution network operation status, the Jacobian matrix is ​​restored and inverted, the sensitivity of the target node voltage to the reactive power injection of the electric vehicle charging station node is calculated, and the reference values ​​of the droop parameters in different time periods are calibrated for reactive power regulation in the intraday stage.

[0116] On the other hand, in the intraday stage, based on the action results of the reactive compensation device determined in the day-ahead stage, in the real-time stage, firstly, according to the updated actual photovoltaic output and the actual charging demand of electric vehicles, a rolling optimization model with the objective function as the electricity cost is established. Its constraints include the updated electric vehicle charging station (power and energy boundaries, etc.), photovoltaic (output limit, etc.), energy storage (energy trajectory deviation limit, etc.) and distribution network (relevant constraints after reactive power compensation is determined), so as to correct the active output of the electric vehicle charging station. At the same time, the electric vehicle charging and discharging station performs local reactive voltage droop control according to the droop parameters calibrated the day before. When the target node voltage exceeds the limit, the reactive power increment is calculated according to the droop parameters and the actual power, and the reactive power output is adjusted accordingly to maintain the voltage stability of the distribution network.

[0117] According to the control method for electric vehicle charging and discharging stations participating in the voltage regulation of the distribution network proposed in the embodiment of the present application, it is possible to generate a typical scenario of distributed photovoltaics in the day-ahead stage and establish a solution optimization model, so as to realize the precise arrangement of the action of the reactive compensation device, the acquisition of the guiding power curve of the electric vehicle charging and discharging station, and the clarification of the operating status of the distribution network, thereby laying the foundation for subsequent regulation and control; in the intraday stage, the active power is updated based on the actual situation on a rolling basis, which can effectively adapt to the uncertainty of electric vehicle charging and photovoltaic output and ensure the balance of active power; at the same time, the reactive voltage droop control is performed using the droop control parameters, and the reactive power output can be flexibly adjusted according to the voltage change, the node voltage is stabilized, and the reactive regulation capability of the electric vehicle charging and discharging station is fully utilized. By comprehensively considering various factors, multi-stage coordinated regulation is carried out to comprehensively improve the stability, flexibility and reliability of the distribution network system, and effectively cope with the challenges of complex power system operation.

[0118] Next, a control device for an electric vehicle charging and discharging station participating in voltage regulation of a distribution network according to an embodiment of the present application will be described with reference to the accompanying drawings.

[0119] Figure 7 It is a block diagram of a control device for an electric vehicle charging and discharging station participating in voltage regulation of a distribution network according to an embodiment of the present application.

[0120] like Figure 7 As shown, the control device 10 of the electric vehicle charging and discharging station participating in the voltage regulation of the distribution network includes: a day-ahead control module 100 and an intra-day control module 200.

[0121] Specifically, the day-ahead control module 100 is used to generate at least one typical distributed photovoltaic scenario in the day-ahead stage, and to establish and solve the day-ahead stage optimization model based on at least one typical distributed photovoltaic scenario to obtain the action of the reactive compensation device, the guidance power curve of the electric vehicle charging and discharging station, the operating status of the distribution network, and calculate the droop control parameters.

[0122] The intraday control module 200 is used to obtain the actual photovoltaic output of the electric vehicle charging station and the actual charging demand of the electric vehicle based on the action of the reactive compensation device, the guiding power curve of the electric vehicle charging station and the operating status of the distribution network during the intraday stage, and to update the active power of the electric vehicle charging and discharging station based on the actual photovoltaic output and the actual charging demand of the electric vehicle. At the same time, local reactive voltage droop control is performed according to the droop control parameters to determine the reactive power output of the electric vehicle charging station based on the calculated reactive power increment.

[0123] Optionally, in one embodiment of the present application, the calculation formula of the droop parameter reference value is:

[0124]

[0125] in, is the slope of the local reactive power-voltage droop control of the electric vehicle charging and discharging station node. The dead zone width can be set to 0 or taken according to experience. s is the scenario number. Ω s is the scene set, ω s is the scenario probability, j is the target node for voltage regulation, t is the current time, i is the node for the electric vehicle charging and discharging station, is the sensitivity of the node voltage of the target node j at time t under scenario s relative to the reactive power of the node i of the electric vehicle charging and discharging station.

[0126] Optionally, in one embodiment of the present application, the calculation formula of the reactive power increment is:

[0127]

[0128] in, is the reactive power increment, j is the target node for voltage regulation, t is the current moment, i is the node for the electric vehicle charging and discharging station, and is the maximum reactive power that node i can increase / decrease at time t, is the slope of the local reactive power-voltage droop control at the electric vehicle charging and discharging station node, V j,t is the node voltage of node j at time t, ΔV dead is the dead zone width, which can be set to 0 or based on experience. N is the voltage reference value, V up is the voltage upper limit, V down is the voltage lower limit.

[0129] Optionally, in one embodiment of the present application, the reactive power output is:

[0130]

[0131] Among them, i is the node of the electric vehicle charging and discharging station, t is the current time, is the reactive power of the electric vehicle charging and discharging station, is the maximum reactive power that can be output by node i of the electric vehicle charging and discharging station, is the actual reactive power of node i of the electric vehicle charging and discharging station at time t-1, is the reactive power increment.

[0132] It should be noted that the above explanation of the control method embodiment of the electric vehicle charging and discharging station participating in the distribution network voltage regulation is also applicable to the control device of the electric vehicle charging and discharging station participating in the distribution network voltage regulation of this embodiment, and will not be repeated here.

[0133] According to the control device for the electric vehicle charging and discharging station participating in the voltage regulation of the distribution network proposed in the embodiment of the present application, it is possible to generate a typical scenario of distributed photovoltaics in the day-ahead stage and establish a solution optimization model, so as to realize the precise arrangement of the action of the reactive compensation device, the acquisition of the guiding power curve of the electric vehicle charging and discharging station, and the clarification of the operating status of the distribution network, thereby laying a foundation for subsequent regulation and control; in the intraday stage, the active power is updated based on the actual situation on a rolling basis, which can effectively adapt to the uncertainty of electric vehicle charging and photovoltaic output and ensure the balance of active power; at the same time, the reactive voltage droop control is performed by using the droop control parameters, and the reactive power output can be flexibly adjusted according to the voltage change, the node voltage is stabilized, and the reactive regulation capability of the electric vehicle charging and discharging station is fully utilized. By comprehensively considering various factors, multi-stage coordinated regulation is carried out to comprehensively improve the stability, flexibility and reliability of the distribution network system, and effectively cope with the challenges of complex power system operation.

[0134] Figure 8 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. The electronic device may include:

[0135] A memory 801 , a processor 802 , and a computer program stored in the memory 801 and executable on the processor 802 .

[0136] When the processor 802 executes the program, the control method for the electric vehicle charging and discharging station to participate in the voltage regulation of the distribution network provided in the above embodiment is implemented.

[0137] Furthermore, the electronic device further comprises:

[0138] The communication interface 803 is used for communication between the memory 801 and the processor 802 .

[0139] The memory 801 is used to store computer programs that can be executed on the processor 802 .

[0140] The memory 801 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0141] If the memory 801, the processor 802 and the communication interface 803 are implemented independently, the communication interface 803, the memory 801 and the processor 802 can be connected to each other through a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 8 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0142] Optionally, in a specific implementation, if the memory 801, the processor 802 and the communication interface 803 are integrated on a chip, the memory 801, the processor 802 and the communication interface 803 can communicate with each other through an internal interface.

[0143] The processor 802 may be a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0144] An embodiment of the present application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the control method for an electric vehicle charging and discharging station to participate in voltage regulation of a distribution network as described above.

[0145] An embodiment of the present application also provides a computer program product, including a computer program, which, when executed, is used to implement the above control method for electric vehicle charging and discharging stations to participate in distribution network voltage regulation.

[0146] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0147] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0148] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or N executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0149] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purpose of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or N wirings (electronic devices), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways as necessary and then storing it in a computer memory.

[0150] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above embodiment, the N steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. If implemented by hardware, as in another embodiment, it can be implemented by any one or a combination of multiple of the following technologies known in the art: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0151] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0152] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0153] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A control method for electric vehicle charging and discharging stations to participate in voltage regulation of distribution networks, characterized in that: The following steps are involved: In the day-ahead stage, at least one typical scenario of distributed photovoltaic power generation is generated, and based on the at least one typical scenario of distributed photovoltaic power generation, a day-ahead stage optimization model is established and solved to obtain the action of the reactive power compensation device, the guiding power curve of the electric vehicle charging and discharging station, the operating state of the distribution network, and calculate the droop control parameters; In the intraday stage, based on the action of the reactive compensation device, the guiding power curve of the electric vehicle charging station and the operating status of the distribution network, the actual photovoltaic output of the electric vehicle charging station and the actual charging demand of the electric vehicle are obtained, and based on the actual photovoltaic output and the actual charging demand of the electric vehicle, the active power of the electric vehicle charging and discharging station is updated on a rolling basis, and at the same time, local reactive voltage droop control is performed according to the droop control parameters to determine the reactive power output of the electric vehicle charging station based on the calculated reactive power increment.

2. The method according to claim 1, characterized in that: The calculation formula of the droop parameter reference value is: in, is the slope of the local reactive power-voltage droop control of the electric vehicle charging and discharging station node. The dead zone width can be set to 0 or taken according to experience. s is the scenario number. Ω s is the scene set, ω s is the scenario probability, j is the target node for voltage regulation, t is the current time, i is the node for the electric vehicle charging and discharging station, is the sensitivity of the node voltage of the target node j at time t under scenario s relative to the reactive power of the node i of the electric vehicle charging and discharging station.

3. The method according to claim 1, characterized in that The calculation formula of the reactive power increment is: in, is the reactive power increment, j is the target node, t is the current time, i is the electric vehicle charging and discharging station node, and is the maximum reactive power that node i can increase / decrease at time t, is the slope of the local reactive power-voltage droop control at the electric vehicle charging and discharging station node, V j,t is the node voltage of node j at time t, ΔV dead is the dead zone width, which can be set to 0 or based on experience. N is the voltage reference value, V up is the voltage upper limit, V down is the voltage lower limit.

4. The method according to claim 3, characterized in that The reactive power output is: Among them, i is the node of the electric vehicle charging and discharging station, t is the current time, is the reactive power of the electric vehicle charging and discharging station, is the maximum reactive power that can be output by node i of the electric vehicle charging and discharging station, is the actual reactive power of node i of the electric vehicle charging and discharging station at time t-1, is the reactive power increment.

5. A control device for an electric vehicle charging and discharging station to participate in the voltage regulation of a distribution network, characterized in that: include: A day-ahead control module is used to generate at least one typical scenario of distributed photovoltaic power generation in the day-ahead stage, and to establish and solve a day-ahead optimization model based on the at least one typical scenario of distributed photovoltaic power generation to obtain the action of the reactive power compensation device, the guiding power curve of the electric vehicle charging and discharging station, the operating state of the distribution network, and calculate the droop control parameters; The intraday control module is used to obtain the actual photovoltaic output of the electric vehicle charging station and the actual charging demand of the electric vehicle based on the action of the reactive compensation device, the guiding power curve of the electric vehicle charging station and the operating status of the distribution network during the intraday stage, and to update the active power of the electric vehicle charging and discharging station based on the actual photovoltaic output and the actual charging demand of the electric vehicle. At the same time, local reactive voltage droop control is performed according to the droop control parameters to determine the reactive power output of the electric vehicle charging station based on the calculated reactive power increment.

6. The device according to claim 5, characterized in that The calculation formula of the droop parameter reference value is: in, is the slope of the local reactive power-voltage droop control of the electric vehicle charging and discharging station node. The dead zone width can be set to 0 or taken according to experience. s is the scenario number. Ω s is the scene set, ω s is the scenario probability, j is the target node for voltage regulation, t is the current time, i is the node for the electric vehicle charging and discharging station, is the sensitivity of the node voltage of the target node j at time t under scenario s relative to the reactive power of the node i of the electric vehicle charging and discharging station.

7. The device according to claim 5, characterized in that The calculation formula of the reactive power increment is: in, is the reactive power increment, j is the target node for voltage regulation, t is the current moment, i is the node for the electric vehicle charging and discharging station, and is the maximum reactive power that node i can increase / decrease at time t, is the slope of the local reactive power-voltage droop control at the electric vehicle charging and discharging station node, V j,t is the node voltage of node j at time t, ΔV dead is the dead zone width, which can be set to 0 or based on experience. N is the voltage reference value, V up is the voltage upper limit, V down is the voltage lower limit.

8. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the control method for an electric vehicle charging and discharging station to participate in voltage regulation of a distribution network as described in any one of claims 1 to 4.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: The program is executed by a processor to implement the control method for an electric vehicle charging and discharging station to participate in voltage regulation of a distribution network as described in any one of claims 1 to 4.

10. A computer program product, comprising a computer program, characterized in that The computer program is executed to implement the control method for an electric vehicle charging and discharging station to participate in voltage regulation of a distribution network as described in any one of claims 1 to 4.

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