Optical storage charging and discharging micro-grid coordination control method, device, equipment, medium and product

Abstract

The invention discloses an optical storage charging and discharging micro-grid coordination control method, device and equipment, a medium and a product, is applied to the technical field of power grid new energy load control, and provides the optical storage charging and discharging micro-grid coordination control method in order to solve the problem that the economic effect is poor in the running process of an electric vehicle. Comprising the steps of obtaining micro-grid operation parameters and electric vehicle operation parameters of a current electric vehicle; according to the micro-grid operation parameters and the electric vehicle operation parameters, a micro-grid energy storage economic curve and an electric vehicle power economic curve are established; controlling energy storage charging and discharging power according to the micro-grid energy storage economic curve; controlling the charging and discharging power of the electric vehicle according to the electric vehicle power economic curve; the economic benefit of the micro-grid can be improved, and the micro-grid and electric vehicle charging and discharging power balance is facilitated.

Description

Technical Field

[0001] The present invention relates to the technical field of new energy load control in power grids, and particularly to a coordinated control method, device, electronic device, computer-readable storage medium and computer program product for a photovoltaic energy storage charging and discharging microgrid. Background Art

[0002] With the increasingly severe energy crisis and environmental pollution problems, the development and utilization of green, clean and renewable energy have been paid more and more attention. The microgrid organically combines distributed power generation, energy storage, load, and electric vehicles, becoming a good new energy consumption solution. As an important load and flexible regulation resource in the future distribution network, the new energy electric vehicle deeply combines "transforming, distributing, using, photovoltaic energy storage charging and discharging" into one, highly consuming renewable energy power generation within the microgrid, achieving local utilization, efficient conversion, and reducing long-distance transmission. It is an effective solution to improve new energy consumption and has extremely high practicality and practical significance.

[0003] In the prior art, the coordinated control strategy of the microgrid is mainly the scheduling strategy for photovoltaic energy storage charging. However, with more and more electric vehicles supporting energy storage, the charging stations for photovoltaic energy storage charging and discharging also increase the construction of discharging piles and reduce the construction of energy storage devices, thereby reducing the construction cost. However, the current coordinated control strategy of the microgrid only considers the charging scenario and cannot maximize the economic benefits of the microgrid.

[0004] In view of this, how to improve the economic benefits of the microgrid is a problem that needs to be solved by those skilled in the art. Summary of the Invention

[0005] The purpose of the embodiments of the present invention is to provide a coordinated control method, device, electronic device, computer-readable storage medium and computer program product for a photovoltaic energy storage charging and discharging microgrid, which can improve the economic benefits of the microgrid during use and is beneficial to the balance of the charging and discharging power of the microgrid and electric vehicles.

[0006] To solve the above technical problems, the embodiments of the present invention provide the following technical solutions:

[0007] On the one hand, the present invention provides a coordinated control method for a photovoltaic energy storage charging and discharging microgrid, including:

[0008] Obtaining the operating parameters of the microgrid and the operating parameters of the current electric vehicle;

[0009] According to the operating parameters of the microgrid and the operating parameters of the electric vehicle, establishing a microgrid energy storage economic curve and an electric vehicle power economic curve;

[0010] According to the energy storage charging and discharging power of the microgrid energy storage economic curve, controlling the charging and discharging power of the electric vehicle according to the electric vehicle power economic curve.

[0011] In one embodiment, establishing a microgrid energy storage economic curve and an electric vehicle power economic curve according to the microgrid operation parameters and the electric vehicle operation parameters includes:

[0012] According to the microgrid operation data, the predicted curve of photovoltaic power within a future preset time, and the predicted curve of load power within a future preset time, with the goal of minimizing the microgrid operation cost, determining the microgrid energy storage economic curve within a future preset time and the grid connection point power economic curve within a future preset time;

[0013] According to the grid connection point power economic curve within the future preset time, obtaining the published electricity prices for charging and discharging of electric vehicles at different time periods and the discharge margin;

[0014] According to the published electricity prices for charging and discharging of electric vehicles at different time periods and the discharge margin, and combining with the electric vehicle operation parameters, with the goal of minimizing the electric vehicle charging cost, obtaining the electric vehicle power economic curve.

[0015] In one embodiment, determining the microgrid energy storage economic curve within a future preset time and the grid connection point power economic curve within a future preset time according to the microgrid operation data, the predicted curve of photovoltaic power within a future preset time, and the predicted curve of load power within a future preset time, with the goal of minimizing the microgrid operation cost, includes:

[0016] According to the time-of-use electricity purchase price of the microgrid and the electricity selling price for surplus electricity, combining with the predicted curve of photovoltaic power within a future preset time, the predicted curve of load power within a future preset time, the grid connection point power purchase curve within a future preset time, and the grid connection point power selling curve within a future preset time, establishing a microgrid economic model and a microgrid power balance constraint with the goal of minimizing the microgrid operation cost;

[0017] According to the microgrid economic model, the microgrid power balance constraint, and combining with the grid connection point power constraint, the energy storage power constraint, and the remaining electricity percentage range constraint, obtaining the microgrid energy storage economic curve within a future preset time and the grid connection point power economic curve within a future preset time.

[0018] In one embodiment, the microgrid economic model is:

[0019] ;

[0020] Wherein, represents the microgrid operation cost, represents the grid connection point power purchase curve for a future preset duration, represents the grid connection point power selling curve within a future preset time, represents the time-of-use electricity purchase price of the microgrid, represents the electricity price of surplus electricity sold on the grid, and t represents time;

[0021] The microgrid power balance constraint is:

[0022] ;in, , , Indicates the grid connection point power curve within the preset time in the future. It represents the load power forecast curve within the preset time in the future. It represents the economic curve of microgrid energy storage within the preset time in the future. Indicates the photovoltaic power prediction curve within the preset time in the future;

[0023] The grid connection point power constraint is: ,in, Indicates the maximum power supply power of the power grid power supply area;

[0024] The energy storage power constraint is: ,in, Indicates the rated charge and discharge power of the energy storage device;

[0025] The remaining power percentage range constraints are: ,in, Indicates the minimum percentage of remaining energy storage capacity. Indicates the maximum percentage of remaining energy storage capacity.

[0026] In one embodiment, obtaining the charging and discharging electricity price and discharge margin of electric vehicles in different time periods according to the power economic curve of the grid connection point within the preset future time period includes:

[0027] Dividing the power economic curve of the grid connection point within the preset future time into a balancing period, a power purchase period and a surplus period;

[0028] For the balancing period, the charging electricity price of electric vehicles is consistent with the time-of-use electricity purchase price of the power grid, and the discharging electricity price and discharge margin of electric vehicles are both 0;

[0029] For the electricity purchase period, the electric vehicle charging electricity price is consistent with the grid time-of-use electricity purchase price, the discharge margin at time t is consistent with the value of the grid connection point power economic curve at time t within the future preset time, and the electric vehicle discharge electricity price is obtained based on the microgrid electricity purchase cost optimization model and the electric vehicle discharge power and grid connection point purchase power guided by the electricity price;

[0030] For the surplus power period, the electric vehicle discharge published electricity price and discharge margin are both 0, and the electric vehicle charging published electricity price is obtained based on the microgrid power sales revenue optimization model and the charging power and the grid-connected surplus power power.

[0031] In one embodiment, based on the electricity prices and discharge margins for charging and discharging of the electric vehicle at different time periods, and in combination with the operating parameters of the electric vehicle, with the goal of minimizing the charging cost of the electric vehicle, an electric vehicle power economic curve is obtained, including:

[0032] For different time periods, using the electricity prices for charging and discharging of the electric vehicle, the charging power of the electric vehicle, and the discharging power of the electric vehicle, an electric vehicle economic optimization model is constructed with the goal of minimizing the charging cost of the electric vehicle;

[0033] Charge and discharge power constraints, the percentage constraint of the remaining power when leaving the site, the range constraint of the remaining power percentage, and a preset relationship between the discharging power of the electric vehicle and the power purchased from the grid connection point are established;

[0034] Based on the electric vehicle economic optimization model, the charge and discharge power constraints, the percentage constraint of the remaining power when leaving the site, the range constraint of the remaining power percentage, and the preset relationship between the discharging power of the electric vehicle and the power purchased from the grid connection point, an electric vehicle power economic curve is obtained.

[0035] In one embodiment, based on the charge and discharge power of the microgrid energy storage according to the microgrid energy storage economic curve, and controlling the charge and discharge power of the electric vehicle according to the electric vehicle power economic curve, including:

[0036] During the process of charging and discharging the microgrid energy storage according to the microgrid energy storage economic curve and controlling the charge and discharge power of the electric vehicle according to the electric vehicle power economic curve, the operating state of the microgrid is detected;

[0037] When the microgrid is in the situation of selling surplus electricity to the grid, increase the power consumption of the microgrid and reduce the power of selling surplus electricity to the grid until the energy storage charges at the maximum charging power;

[0038] When the microgrid is operating normally, continue to charge and discharge the microgrid energy storage according to the microgrid energy storage economic curve and control the charge and discharge power of the electric vehicle according to the electric vehicle power economic curve;

[0039] When the microgrid is in heavy load operation, reduce the power consumption of the microgrid, reduce the charging power of the energy storage, or increase the discharging power of the energy storage.

[0040] On the other hand, the present invention provides a coordinated control device for a photovoltaic energy storage charging and discharging microgrid, including:

[0041] An acquisition module, configured to acquire the operating parameters of the microgrid and the operating parameters of the current electric vehicle;

[0042] A building module, configured to establish a microgrid energy storage economic curve and an electric vehicle power economic curve according to the microgrid operation parameters and the electric vehicle operation parameters;

[0043] A control module, configured to control the charging and discharging power of the energy storage according to the microgrid energy storage economic curve, and control the charging and discharging power of the electric vehicle according to the electric vehicle power economic curve.

[0044] On the other hand, the present invention provides an electronic device, including:

[0045] A memory, configured to store a computer program;

[0046] A processor, configured to implement the steps of the above-mentioned coordinated control method for a photovoltaic energy storage charging and discharging microgrid when executing the computer program.

[0047] On the other hand, the present invention provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the above-mentioned coordinated control method for a photovoltaic energy storage charging and discharging microgrid are implemented.

[0048] On the other hand, the present invention provides a computer program product, including a computer program / instructions, and when the computer program / instructions are executed by a processor, the steps of the above-mentioned coordinated control method for a photovoltaic energy storage charging and discharging microgrid are implemented.

[0049] It can be seen from the above technical solutions that the embodiments of the present invention have the following advantages:

[0050] An embodiment of the present invention provides a coordinated control method for a photovoltaic energy storage charging and discharging microgrid, including obtaining microgrid operation parameters and electric vehicle operation parameters of a current electric vehicle; establishing a microgrid energy storage economic curve and an electric vehicle power economic curve according to the microgrid operation parameters and the electric vehicle operation parameters; controlling the charging and discharging power of the energy storage according to the microgrid energy storage economic curve; and controlling the charging and discharging power of the electric vehicle according to the electric vehicle power economic curve.

[0051] It can be seen that in the embodiment of the present invention, a microgrid energy storage economic curve and an electric vehicle power economic curve can be established according to the obtained microgrid operation parameters and electric vehicle operation parameters. The microgrid energy storage economic curve takes into account the charging and discharging conditions, and the electric vehicle power economic curve takes into account the charging and discharging conditions of the electric vehicle. During the operation of the microgrid, the charging and discharging power of the energy storage is controlled according to the microgrid energy storage economic curve, and the charging and discharging power of the electric vehicle is controlled according to the electric vehicle power economic curve, thereby improving the economic benefits of the microgrid and facilitating the balance between the microgrid and the charging and discharging power of the electric vehicle.

[0052] In addition, the present invention also provides corresponding implementation devices, electronic devices, computer-readable storage media, and computer program products for the coordinated control method of the optical storage charging and discharging microgrid, further making the method more practical, and the devices, electronic devices, computer-readable storage media, and computer program products have corresponding advantages.

[0053] It should be understood that the above general description and the following detailed description are only exemplary and do not limit the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the prior art and the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0055] Figure 1 It is a schematic flowchart of a coordinated control method for an optical storage charging and discharging microgrid provided by an embodiment of the present invention;

[0056] Figure 2 It is a schematic flowchart of another coordinated control method for an optical storage charging and discharging microgrid provided by an embodiment of the present invention;

[0057] Figure 3 It is an architecture diagram of a coordinated control system for an optical storage charging and discharging microgrid provided by an embodiment of the present invention;

[0058] Figure 4 It is a schematic diagram of a microgrid economic optimization module provided by an embodiment of the present invention;

[0059] Figure 5 It is a power plan curve diagram of a microgrid provided by an embodiment of the present invention;

[0060] Figure 6 It is a schematic diagram of a charging and discharging electricity price publishing strategy for electric vehicles in a microgrid provided by an embodiment of the present invention;

[0061] Figure 7 It is a schematic diagram of an economic charging optimization module for electric vehicles in a microgrid provided by an embodiment of the present invention;

[0062] Figure 8 It is a power economy curve for electric vehicles provided by an embodiment of the present invention;

[0063] Figure 9 It is a schematic diagram of real-time operation control measurement for a microgrid provided by an embodiment of the present invention;

[0064] Figure 10Schematic structural diagram of a coordinated control device for a photovoltaic-storage-charge-discharge microgrid provided by an embodiment of the present invention;

[0065] Figure 11 Schematic structural diagram of an electronic device provided by an embodiment of the present invention;

[0066] Figure 12 Schematic structural diagram of a computer-readable storage medium provided by an embodiment of the present invention. Detailed implementation manners

[0067] An embodiment of the present invention provides a coordinated control method, device, electronic device, computer-readable storage medium and computer program product for a photovoltaic-storage-charge-discharge microgrid, which can improve the economic benefits of the microgrid during use and is conducive to the balance between the microgrid and the charging and discharging power of electric vehicles.

[0068] To make the objectives, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0069] Please refer to Figure 1 , Figure 1 Schematic flow diagram of a coordinated control method for a photovoltaic-storage-charge-discharge microgrid provided by an embodiment of the present invention. The method includes:

[0070] S110: Obtain the operating parameters of the microgrid and the operating parameters of the current electric vehicle;

[0071] It should be noted that in the embodiments of the present invention, the operating parameters of the microgrid and the operating parameters of the current electric vehicle can be obtained periodically. For example, they are obtained every 15 minutes, so as to improve the accuracy of the microgrid energy storage economic curve and the electric vehicle power economic curve constructed subsequently.

[0072] S120: Establish a microgrid energy storage economic curve and an electric vehicle power economic curve according to the microgrid operating parameters and the electric vehicle operating parameters;

[0073] It should be noted that in the embodiments of the present invention, during the operation of the electric vehicle, the operating parameters of the microgrid and the operating parameters of the electric vehicle can be obtained, and then a microgrid energy storage economic curve and an electric vehicle power economic curve are established according to the microgrid operating parameters and the electric vehicle operating parameters.

[0074] S130: Determine the charging and discharging power of the energy storage according to the energy storage charging and discharging power of the microgrid economic curve, and control the charging and discharging power of the electric vehicle according to the electric vehicle power economic curve;

[0075] Specifically, during the coordinated control of the Guangxu charging and discharging microgrid, the charging and discharging power of the energy storage can be controlled according to the constructed microgrid energy storage economic curve, so as to maximize the microgrid energy storage revenue.

[0076] Specifically, during the coordinated control of the Guangxu charging and discharging microgrid, the charging and discharging power of the electric vehicle can be controlled according to the constructed electric vehicle power economic curve, that is, the electric vehicle is charged and discharged according to the corresponding charging and discharging power on the electric vehicle power economic curve respectively. Under the condition of ensuring the maximization of the microgrid economic benefit, the maximization of the user economic benefit can be further ensured.

[0077] In one implementation, as Figure 2 shown, the process of establishing the microgrid energy storage economic curve and the electric vehicle power economic curve according to the microgrid operation parameters and the electric vehicle operation parameters may include:

[0078] S210: According to the microgrid operation data, the photovoltaic power prediction curve within a future preset time, and the load power prediction curve within a future preset time, with the goal of minimizing the microgrid operation cost, determine the microgrid energy storage economic curve within a future preset time and the grid connection point power economic curve within a future preset time;

[0079] S220: Obtain the charging and discharging published electricity prices and discharging margins of the electric vehicle at different time periods according to the grid connection point power economic curve within a future preset time;

[0080] S230: According to the charging and discharging published electricity prices and discharging margins of the electric vehicle at different time periods, combined with the electric vehicle operation parameters, with the goal of minimizing the electric vehicle charging cost, obtain the electric vehicle power economic curve.

[0081] It should be noted that in practical applications, the microgrid operation data, photovoltaic operation parameters, electric vehicle operation parameters, energy storage operation parameters, and load operation parameters can be obtained. The photovoltaic power prediction curve within a future preset time is determined according to the photovoltaic operation parameters, and the load power prediction curve within a future preset time is determined according to the load operation parameters. Among them, the future preset time can be the next 24 hours. In the embodiments of the present invention, the microgrid energy storage economic curve within a future preset time and the grid connection point power economic curve within a future preset time can be determined according to the microgrid operation data combined with the photovoltaic power prediction curve within a future preset time and the load power prediction curve within a future preset time, with the goal of minimizing the microgrid operation cost.

[0082] Specifically, after obtaining the grid connection point power economic curve within the future preset time, based on the grid connection point power economic curve within the future preset time, the charging and discharging published electricity prices and discharge margins for different time periods of electric vehicles can be obtained. Further, based on the charging and discharging published electricity prices and discharge margins for different time periods of electric vehicles, combined with the operating parameters of electric vehicles, with the goal of minimizing the charging cost of electric vehicles, the power economic curve of electric vehicles can be obtained.

[0083] It can be understood that, as Figure 3 shown, in practical applications, the embodiment of the present invention can achieve the coordinated control of the photovoltaic-storage-charging-discharging microgrid through four modules, namely, the microgrid economic optimization module, the electric vehicle charging and discharging electricity price publishing module, the electric vehicle economic charging optimization module, and the microgrid real-time operation control module. The following details the coordinated control process of the photovoltaic-storage-charging-discharging microgrid:

[0084] In one implementation manner, the process of determining the microgrid energy storage economic curve within the future preset time and the grid connection point power economic curve within the future preset time according to the microgrid operation data, the photovoltaic power prediction curve within the future preset time, and the load power prediction curve within the future preset time in S210, specifically may include:

[0085] According to the time-of-use power purchase electricity price of the microgrid and the surplus electricity on-grid selling electricity price, combined with the photovoltaic power prediction curve within the future preset time, the load power prediction curve within the future preset time, the grid connection point power purchase power curve within the future preset time, and the grid connection point selling power curve within the future preset time, establish a microgrid economic model and a microgrid power balance constraint with the goal of minimizing the microgrid operation cost;

[0086] According to the microgrid economic model, the microgrid power balance constraint, combined with the grid connection point power constraint, the energy storage power constraint, and the remaining electricity percentage range constraint, obtain the microgrid energy storage economic curve within the future preset time and the grid connection point power economic curve within the future preset time.

[0087] It should be noted that, as Figure 4 shown, the microgrid economic optimization module can, according to the time-of-use power purchase electricity price and the surplus electricity on-grid selling electricity price published by the power grid company, based on the microgrid operation data such as the remaining electricity percentage soc of the energy storage and the energy storage capacity, combined with the photovoltaic power prediction curve for the next 24 hours and the load power prediction curve for the next 24 hours, establish the microgrid energy storage power economic curve for the next 24 hours and the grid connection point power economic curve for the next 24 hours with the goal of minimizing the microgrid operation cost.

[0088] Specifically, according to the time-of-use electricity purchase price of the microgrid and the electricity selling price for surplus electricity fed into the grid, combined with the predicted photovoltaic power curve within a preset future time, the predicted load power curve within a preset future time, the predicted grid-connected power purchase curve within a preset future time, and the predicted grid-connected power selling curve within a preset future time, a microgrid economic model and microgrid power balance constraints are established with the goal of minimizing the operating cost of the microgrid.

[0089] In one embodiment, the microgrid economic model is:

[0090] ;

[0091] Among them, represents the operating cost of the microgrid, represents the predicted grid-connected power purchase curve for a preset future duration, represents the predicted grid-connected power selling curve within a preset future time, represents the time-of-use electricity purchase price of the microgrid, represents the electricity selling price for surplus electricity fed into the grid, and t represents time;

[0092] The microgrid power balance constraints are:

[0093] ; Among them, , , represents the predicted grid-connected power curve within a preset future time, represents the predicted load power curve within a preset future time, represents the microgrid energy storage economic curve within a preset future time, represents the predicted photovoltaic power curve within a preset future time;

[0094] The grid-connected power constraints are: , among which, represents the maximum power supply of the power grid supply station area;

[0095] The energy storage power constraints are: , among which, represents the rated charge and discharge power of the energy storage device;

[0096] The remaining electricity percentage range constraints: , among which, represents the minimum value of the remaining electricity percentage of the energy storage, represents the maximum value of the remaining electricity percentage of the energy storage.

[0097] It should be noted that the preset future duration in the embodiments of the present invention can be 24 hours in the future, and specifically, it can be based on the time-of-use electricity purchase price of the microgrid published by the power grid company and the electricity selling price for surplus electricity fed into the grid , according to the percentage of the remaining power of the microgrid energy storage soc (State of Charge) and the energy storage capacity q, combined with the predicted photovoltaic power curve for the next 24 hours and the predicted load power curve for the next 24 hours , with the minimum operation cost of the microgrid as the goal, establish a microgrid economic model:

[0098] ;

[0099] If the preset future duration is 24 hours, then represents the grid connection power purchase curve for the next 24 hours, represents the grid connection power sale curve for the next 24 hours;

[0100] Furthermore, the grid connection power curve for the next 24 hours is the difference between the power purchase and sale:

[0101] That is, .

[0102] Then further establish the microgrid power smoothing constraint, and the grid connection power is the aggregation of the internal equipment power of the microgrid:

[0103] , where the microgrid energy storage economic curve within the preset future time is , and the load power prediction power curve includes the electric vehicle load power and the fixed load power , where:

[0104] + .

[0105] In the embodiment of the present invention, in order to ensure the safe operation of the microgrid, three constraint factors are established for the economic optimization of the charge and discharge task plan:

[0106] Grid connection power constraint, the grid connection power curve for the next 24 hours is less than or equal to the maximum power supply of the power supply area of the power grid company :

[0107] ;

[0108] Energy storage power constraint, the energy storage power curve for the next 24 hours does not exceed the rated charge and discharge of the energy storage device :

[0109] ;

[0110] The SOC range constraint is that the energy storage SOC is greater than the minimum SOC limit value and less than the maximum SOC limit value :

[0111] 。

[0112] Then, the process of obtaining the microgrid energy storage economic curve within a future preset time and the grid connection point power economic curve within a future preset time according to the microgrid economic model, the microgrid power balance constraint, combined with the grid connection point power constraint, the energy storage power constraint, and the remaining power percentage range constraint can be as follows:

[0113] According to the microgrid economic model 、 the microgrid power balance constraint 、 the grid connection point power constraint 、 the energy storage power constraint 、 the SOC range constraint , taking the energy storage power curve for the next 24 hours and the grid connection point power curve for the next 24 hours as the variables to be solved, using the linear programming algorithm to solve the above microgrid economic model and each constraint, and the feasible solution obtained is the energy storage power economic curve for the next 24 hours and the grid connection point power economic curve for the next 24 hours (as shown in Figure 5 ).

[0114] In one implementation manner, the process of obtaining the charging and discharging published electricity prices and the discharging margin for electric vehicles at different time periods according to the grid connection point power economic curve within a future preset time can specifically include:

[0115] Dividing the grid connection point power economic curve within a future preset time into a balanced time period, a power purchase time period, and a surplus power time period;

[0116] For the balanced time period, the charging published electricity price of the electric vehicle is the same as the time-of-use power purchase electricity price of the power grid, and both the discharging published electricity price and the discharging margin of the electric vehicle are 0;

[0117] For the power purchase time period, the charging published electricity price of the electric vehicle is the same as the time-of-use power purchase electricity price of the power grid, the discharging margin at time t is the same as the value of the grid connection point power economic curve within a future preset time at time t, and the discharging published electricity price of the electric vehicle is obtained based on the microgrid power purchase cost optimization model and the discharging power of the electric vehicle guided by the electricity price and the power grid connection point power purchase power;

[0118] For the surplus power period, both the discharging published price and the discharging margin of the electric vehicle are 0, and the charging published price of the electric vehicle is obtained based on the microgrid power selling revenue optimization model and the charging power and the surplus power feeding-in power at the grid connection point.

[0119] It should be noted that this process can be executed by the electric vehicle charging and discharging price publishing module. Specifically, the electric vehicle charging and discharging price publishing module can publish the time-of-use charging and discharging prices and the discharging margin of the electric vehicle according to the power economic curve at the grid connection point in the next 24 hours, and arrange the charging time of the electric vehicle based on the time-of-use charging and discharging prices and the discharging margin.

[0120] It can be understood that as Figure 6 shown, the electric vehicle charging and discharging price publishing module can divide the power economic curve at the grid connection point within the preset future time into a balanced period, a power purchase period, and a surplus power period. For each period, the charging published price of the electric vehicle , the discharging published price of the electric vehicle and the discharging margin are formulated respectively. Specifically, for the charging published price of the electric vehicle , the discharging published price of the electric vehicle and the discharging margin in each period, the formulation process is as follows:

[0121] For the balanced period, the microgrid can meet the internal demand of the microgrid. The charging published price of the electric vehicle in this balanced period is the same as the time-of-use power purchase price of the grid ; the discharging published price of the electric vehicle , the discharging margin , that is, there is no price reduction for charging and discharging is not allowed in the balanced period.

[0122] For the power purchase period, the microgrid purchases power from the grid to meet the internal load consumption. The charging published price of the electric vehicle in this power purchase period is the same as the time-of-use price of the grid, that is ; the electric vehicle runs to control the discharging of the electric vehicle, and the discharging margin , there is no price reduction for charging and discharging is allowed in the power purchase period;

[0123] Specifically, the discharging price of the electric vehicle can be defined to satisfy the following relationship with the expected discharging power of the electric vehicle: function, is formulated by the charging station according to the historical operation conditions, and the function is a monotonically non-linear increasing curve;

[0124] Microgrid power purchase cost optimization model:

[0125] .

[0126] Furthermore, the discharge power of the electric vehicle guided by the electricity price is less than or equal to the electricity purchase power at the connection point:

[0127] ;

[0128] The optimization model of the microgrid electricity purchase cost is a non-linear programming model. Taking the discharge electricity price of the electric vehicle during the electricity purchase period as the solution variable and using the non-linear programming algorithm to solve, a feasible solution can be obtained, and this feasible solution is the published discharge electricity price of the electric vehicle during the electricity purchase period .

[0129] For the surplus electricity period, the microgrid feeds the surplus photovoltaic power generation through the surplus electricity grid connection, and charges the electric vehicle by reducing the charging electricity price of the electric vehicle during the surplus electricity period. The charging price is greater than the surplus electricity grid connection price and less than the electricity selling price of the grid; the published discharge electricity price of the electric vehicle = 0, the discharge margin = 0, and the microgrid formulates the charging electricity price with the highest electricity selling income as the goal:

[0130] The optimization model of the microgrid electricity selling income is:

[0131] .

[0132] Furthermore, the charging power is less than or equal to the surplus electricity grid connection power at the connection point:

[0133] ;

[0134] The optimization data model is a non-linear programming model. Taking the charging electricity price of the electric vehicle during the electricity purchase period as the solution variable and using the non-linear programming algorithm to solve, a feasible solution can be obtained, and this feasible solution is the published charging electricity price of the electric vehicle during the electricity purchase period .

[0135] In one implementation, the process of obtaining the power economic curve of the electric vehicle with the lowest charging cost of the electric vehicle as the goal by combining the published charging and discharging electricity prices and discharge margins of the electric vehicle in different periods with the operating parameters of the electric vehicle may specifically include:

[0136] For different periods, an economic optimization model of the electric vehicle is constructed with the published charging and discharging electricity prices of the electric vehicle, the charging power of the electric vehicle, and the discharge power of the electric vehicle as the goal of minimizing the charging cost of the electric vehicle;

[0137] Establish constraints on the charging and discharging power, the percentage of remaining power when leaving the site, the range of the percentage of remaining power, and a preset relationship between the discharge power of the electric vehicle and the electricity purchase power at the connection point;

[0138] According to the electric vehicle economic optimization model, the charging and discharging power constraint, the remaining power percentage constraint at departure, the remaining power percentage range constraint, and the preset relationship between the discharging power of the electric vehicle and the power purchased from the grid connection point, the power economic curve of the electric vehicle is obtained.

[0139] It should be noted that in the embodiments of the present invention, an electric vehicle economic charging optimization module (as shown in Figure 7 ) can be used to implement this process. The electric vehicle economic charging optimization module can formulate the power economic curve of the electric vehicle with the lowest charging cost of the electric vehicle as the goal according to the time-of-use charging and discharging electricity price of the electric vehicle, and the operating parameters such as the initial soc, battery capacity, expected soc at departure, and expected departure time of the electric vehicle, and estimate the charging cost and discharging income of the electric vehicle.

[0140] It can be understood that the working process of the electric vehicle economic charging optimization module specifically includes the following steps:

[0141] First, an electric vehicle economic optimization model is established with the lowest charging cost of the electric vehicle as the goal according to the time-of-use charging and discharging unit price of the electric vehicle and the operating parameters of the electric vehicle. Among them, the operating parameters of the electric vehicle include the initial soc, battery capacity, expected departure , and the expected departure time . The established electric vehicle economic optimization model is: ; where

[0142] ; among them, is the charging power of the electric vehicle, is the selling power of the electric vehicle.

[0143] Secondly, the electric vehicle economic charging optimization includes three aspects of constraint factors:

[0144] Charging and discharging power constraint: The charging and discharging power of the electric vehicle is less than or equal to the rated charging and discharging power of the charging pile, that is, .

[0145] Remaining power percentage soc constraint at departure: The electric vehicle reaches the expected soc at departure at the departure moment, that is, .

[0146] Remaining power percentage soc range constraint: The soc of the electric vehicle is greater than the minimum soc limit value and less than the maximum soc limit value, that is .

[0147] Thirdly, the discharging power of the electric vehicle is less than the power purchased from the grid connection point, that is .

[0148] Finally, the discharge power of the electric vehicle can be used as the variable to be solved, and the linear programming algorithm is used to solve it. By combining the above various constraints to solve the economic optimization model of the electric vehicle, the charge and discharge power curve of the electric vehicle and the expected charging cost can be obtained. Further, the power economic curve of the electric vehicle can be obtained based on the charge and discharge power curve of the electric vehicle and the expected charging cost (as Figure 8 shown).

[0149] In one implementation manner, in the process of controlling the charge and discharge power of the electric vehicle according to the charge and discharge power of the microgrid energy storage based on the economic curve of the microgrid energy storage and the power economic curve of the electric vehicle in S130 above, it may include:

[0150] During the process of controlling the charge and discharge power of the electric vehicle according to the charge and discharge power of the microgrid energy storage based on the economic curve of the microgrid energy storage and the power economic curve of the electric vehicle, the operating state of the microgrid is detected;

[0151] When the microgrid is in the situation of surplus power feeding into the grid, increase the power consumption of the microgrid and reduce the surplus power feeding into the grid until the energy storage charges at the maximum charging power;

[0152] When the microgrid is operating normally, continue to control the charge and discharge power of the electric vehicle according to the charge and discharge power of the microgrid energy storage based on the economic curve of the microgrid energy storage and the power economic curve of the electric vehicle;

[0153] When the microgrid is in the situation of heavy load operation, reduce the power consumption of the microgrid, reduce the charging power of the energy storage or increase the discharging power of the energy storage.

[0154] It can be understood that during the coordinated control process of the microgrid with the electric vehicle charging and discharging, the operating state of the microgrid can be obtained in real time. When the microgrid is operating normally, that is, when the microgrid has not reached the rated power of the distribution transformer, continue to control the charge and discharge power of the energy storage according to the constructed economic curve of the microgrid energy storage.

[0155] When the microgrid is in the situation of surplus power feeding into the grid, that is, the grid connection point power p pcc [t] < 0, then the microgrid needs to increase the power consumption of the microgrid. The specific increase amplitude can be -1 * the grid connection point power p pcc [t], that is, the increase amplitude = -1 * the grid connection point power p pcc [t]. When the microgrid reduces the surplus power feeding into the grid, it preferentially reduces the discharging power of the energy storage or increases the charging power of the energy storage. During the process of increasing the charging power of the energy storage until the energy storage charges at the maximum charging power; if there is still surplus power feeding into the grid when the energy storage charges at the maximum charging power, increase the charging power of the electric vehicle until there is no reverse flow in the microgrid.

[0156] When the microgrid is operating under heavy load, that is, the microgrid is in a heavy-load operating state, and the grid connection point power p pcc [t] > the transformer power limit p tr [t], the transformer being overloaded requires reducing the power consumption of the microgrid. Among them, the reduction amplitude = the grid connection point power p pcc [t] - the transformer power limit p tr [t]. When reducing the power consumption of the microgrid, the energy storage charging power is preferentially reduced or the energy storage discharging power is increased. In addition, when the energy storage discharges at the maximum discharging power and the transformer is still overloaded, the electric vehicle charging power is reduced until it is no longer overloaded.

[0157] It should be noted that after obtaining the energy storage power economic curve and the electric vehicle power economic curve, as Figure 9 shown, when the microgrid is in a normal operating state, the real-time operation control module of the microgrid can, according to the energy storage power economic curve , the electric vehicle power economic curve , control the energy storage power of the electric vehicle and the real-time charging and discharging power of the electric vehicle. In practical applications, the microgrid implementation operation control module can, according to the real-time operation of the microgrid, comprehensively consider the real-time power at the grid connection point, and adjust the implementation control strategy according to the priorities of energy storage, electric vehicles, and photovoltaic.

[0158] In practical applications, due to the control accuracy of the microgrid real-time operation control operation module and the safety operation limitations, there is a deviation between the operation control power and the planned curve. To ensure the long-term economic operation of the microgrid, the microgrid economic optimization module can, according to a 15-minute cycle, cyclically formulate the energy storage economic operation curve for the next 24 hours.

[0159] It can be seen that in the embodiments of the present invention, the microgrid energy storage economic curve and the electric vehicle power economic curve can be established according to the obtained microgrid operation parameters and electric vehicle operation parameters. The microgrid energy storage economic curve takes into account the charging and discharging conditions, and the electric vehicle power economic curve takes into account the charging and discharging conditions of the electric vehicle. During the operation of the microgrid, the energy storage charging and discharging power is controlled according to the microgrid energy storage economic curve, and the electric vehicle charging and discharging power is controlled according to the electric vehicle power economic curve, thereby improving the economic benefits of the microgrid and facilitating the balance of the microgrid and the electric vehicle charging and discharging power.

[0160] In other words, the present application divides time periods according to the microgrid and load power, establishes the energy storage power economic curve for the next 24 hours of the microgrid, publishes the grid connection point power economic curve for the next 24 hours, formulates the energy storage and electric vehicle charging and discharging strategies according to linear constraints, can coordinate the balance of energy storage and electric vehicle charging, the constraint conditions are carried out in modules, the control strategy is targeted at operation parameters, and the control strategy is updated in real time, so that the microgrid is balanced with the electric vehicle charging and discharging power.

[0161] The present invention also provides a corresponding device for the coordinated control method of the photovoltaic-storage-charging-discharging microgrid, further making the method more practical. Among them, the device can be described from the perspective of functional modules and the perspective of hardware. The following introduces the coordinated control device of the photovoltaic-storage-charging-discharging microgrid provided by the present invention. This device is used to implement the coordinated control method of the photovoltaic-storage-charging-discharging microgrid provided by the present invention. In this embodiment, the coordinated control device of the photovoltaic-storage-charging-discharging microgrid can include or be divided into one or more program modules. These one or more program modules are stored in a storage medium and executed by one or more processors to complete the coordinated control method of the photovoltaic-storage-charging-discharging microgrid disclosed in the above embodiment. The program modules referred to in the present invention refer to a series of computer program instruction segments that can complete specific functions, and are more suitable for describing the execution process of the coordinated control device of the photovoltaic-storage-charging-discharging microgrid in the storage medium than the program itself. The following description will specifically introduce the functions of each program module in this embodiment. The coordinated control device of the photovoltaic-storage-charging-discharging microgrid described below can be correspondingly referred to the coordinated control method based on the photovoltaic-storage-charging-discharging microgrid described above.

[0162] From the perspective of functional modules, see Figure 10 , Figure 10 is a structural diagram of a coordinated control device of a photovoltaic-storage-charging-discharging microgrid provided by the present invention. This device can include:

[0163] An acquisition module 11, configured to acquire the operating parameters of the microgrid and the operating parameters of the current electric vehicle;

[0164] A building module 12, configured to establish a microgrid energy storage economic curve and an electric vehicle power economic curve according to the microgrid operating parameters and the electric vehicle operating parameters;

[0165] A control module 13, configured to control the charging and discharging power of the energy storage according to the microgrid energy storage economic curve, and control the charging and discharging power of the electric vehicle according to the electric vehicle power economic curve.

[0166] It should be noted that the coordinated control device of the photovoltaic-storage-charging-discharging microgrid provided in the embodiment of the present invention has the same beneficial effects as the coordinated control method of the photovoltaic-storage-charging-discharging microgrid provided in the above embodiment. For the specific introduction of the coordinated control method of the photovoltaic-storage-charging-discharging microgrid involved in the embodiment of the present invention, please refer to the above embodiment, and this application will not repeat it here.

[0167] The coordinated control device of the photovoltaic-storage-charging-discharging microgrid mentioned above is described from the perspective of functional modules. Further, the present invention also provides an electronic device, which is described from the perspective of hardware. Figure 11 is a structural diagram of an electronic device provided in an embodiment of the present application, such as Figure 11As shown, the electronic device includes: a memory 20 for storing computer programs;

[0168] a processor 21 for implementing the steps of the coordinated control method of the optical storage charging and discharging microgrid as described in the above embodiments when executing the computer program.

[0169] The electronic device provided in this embodiment may include, but is not limited to, a smart phone, a tablet computer, a laptop computer, a desktop computer, etc.

[0170] Among them, the processor 21 may include one or more processing cores, such as a 4-core processor, an 8-core processor, etc. The processor 21 may be implemented in at least one hardware form of DSP (Digital Signal Processing), FPGA (Field-Programmable Gate Array), and PLA (Programmable Logic Array). The processor 21 may also include a main processor and a coprocessor. The main processor is a processor for processing data in the wake state, also known as the CPU (Central Processing Unit); the coprocessor is a low-power processor for processing data in the standby state. In some embodiments, the processor 21 may be integrated with a GPU (Graphics Processing Unit), and the GPU is responsible for rendering and drawing the content to be displayed on the display screen. In some embodiments, the processor 21 may also include an AI (Artificial Intelligence) processor, and the AI processor is used to process computational operations related to machine learning.

[0171] The memory 20 may include one or more computer-readable storage media, which may be non-transitory. The memory 20 may also include high-speed random access memory and non-volatile memory, such as one or more disk storage devices and flash storage devices. In some embodiments, the memory 20 may be an internal storage unit of an electronic device, such as the hard disk of a server. In other embodiments, the memory 20 may also be an external storage device of an electronic device, such as a plug-in hard disk equipped on a server, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, etc. Further, the memory 20 may also include both an internal storage unit and an external storage device of the electronic device. The memory 20 can be used not only to store application software installed in the electronic device and various types of data, such as the code of the program during the execution of the optical storage charging and discharging microgrid coordination control method, etc., but also to temporarily store data that has been output or will be output. In this embodiment, the memory 20 is at least used to store the following computer program 201. After being loaded and executed by the processor 21, the computer program can implement the relevant steps of the optical storage charging and discharging microgrid coordination control method disclosed in any of the foregoing embodiments. In addition, the resources stored in the memory 20 may also include an operating system 202 and data 203, etc., and the storage method may be temporary storage or permanent storage. Among them, the operating system 202 may include Windows, Unix, Linux, etc. The data 203 may include, but is not limited to, (data corresponding to the optical storage charging and discharging microgrid coordination control result), etc.

[0172] In some embodiments, the electronic device may further include a display screen 22, an input / output interface 23, a communication interface 24, a power supply 25, and a communication bus 26. Among them, the display screen 22 and the input / output interface 23 such as a keyboard belong to user interfaces. Optional user interfaces may also include standard wired interfaces, wireless interfaces, etc. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch liquid crystal display, and an OLED (Organic Light-Emitting Diode) toucher, etc. The display may also be appropriately referred to as a display screen or a display unit, and is used to display the information processed in the electronic device and to display a visual user interface. The communication interface 24 may optionally include a wired interface and / or a wireless interface, such as a WI-FI interface, a Bluetooth interface, etc., and is generally used to establish a communication connection between the electronic device and other electronic devices. The communication bus 26 may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. This bus may be divided into an address bus, a data bus, a control bus, etc. For the sake of convenience of representation, Figure 11 it is only represented by a thick line in the figure, but it does not mean that there is only one bus or one type of bus.

[0173] Those skilled in the art can understand that Figure 11 the structure shown in the figure does not constitute a limitation on the electronic device, and it may include more or fewer components than shown in the figure.

[0174] It can be understood that if the optical storage charging and discharging microgrid coordinated control method in the above embodiments is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the essence of the technical solution of this application, or the part that contributes to the prior art, or all or part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and executes all or part of the steps of the methods in the various embodiments of this application. And the aforementioned storage medium includes: various media such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), an electrically erasable programmable ROM, a register, a hard disk, a removable disk, a CD-ROM, a magnetic disk, or an optical disc that can store program codes.

[0175] Based on this, as Figure 12As shown in the figure, an embodiment of the present invention further provides a computer-readable storage medium. A computer program 31 is stored on the computer-readable storage medium 30. When the computer program 31 is executed by a processor, the steps of the above-mentioned optical storage charging and discharging microgrid coordinated control method are implemented.

[0176] On the basis of the above embodiment, an embodiment of the present invention further provides a computer program product, including a computer program / instructions. When the computer program / instructions are executed by a processor, the steps of the above-mentioned optical storage charging and discharging microgrid coordinated control method are implemented.

[0177] The various embodiments in this specification are described in a progressive manner. The key point of each embodiment is to illustrate the differences from other embodiments. For the same or similar parts among the various embodiments, reference can be made to each other. For the devices disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the description is relatively simple. For the relevant parts, reference can be made to the description in the method part.

[0178] It should also be noted that in this specification, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "including a..." does not exclude the existence of additional identical elements in the process, method, article or device including the said element.

[0179] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present invention. Various modifications to these embodiments will be obvious to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for coordinated control of a photovoltaic storage charging and discharging microgrid, characterized in that: include: Obtaining microgrid operating parameters and electric vehicle operating parameters of the current electric vehicle; Establishing a microgrid energy storage economic curve and an electric vehicle power economic curve according to the microgrid operating parameters and the electric vehicle operating parameters; The energy storage charging and discharging power is controlled according to the microgrid energy storage economic curve, and the electric vehicle charging and discharging power is controlled according to the electric vehicle power economic curve.

2. The coordinated control method of photovoltaic storage charging and discharging microgrid according to claim 1 is characterized in that: The step of establishing a microgrid energy storage economic curve and an electric vehicle power economic curve according to the microgrid operating parameters and the electric vehicle operating parameters includes: Based on the microgrid operation data, the photovoltaic power forecast curve within the future preset time, and the load power forecast curve within the future preset time, with the goal of minimizing the microgrid operation cost, determine the microgrid energy storage economic curve within the future preset time and the grid connection point power economic curve within the future preset time; According to the power economic curve of the grid connection point within the preset future time, the charging and discharging electricity price and discharge margin of the electric vehicle in different time periods are obtained; According to the charging and discharging electricity prices and the discharge margin of the electric vehicle in different time periods, combined with the operating parameters of the electric vehicle, with the goal of minimizing the charging cost of the electric vehicle, the power economy curve of the electric vehicle is obtained.

3. The coordinated control method of photovoltaic storage charging and discharging microgrid according to claim 2 is characterized in that: The method of determining the microgrid energy storage economic curve within the future preset time and the grid connection point power economic curve within the future preset time based on the microgrid operation data, the photovoltaic power prediction curve within the future preset time, and the load power prediction curve within the future preset time with the goal of minimizing the microgrid operation cost includes: According to the time-of-use electricity purchase price of the microgrid and the electricity price of the surplus electricity sold on the grid, combined with the photovoltaic power forecast curve within the future preset time, the load power forecast curve within the future preset time, the grid connection point purchase power curve within the future preset time, and the grid connection point sales power curve within the future preset time, the microgrid economic model and the microgrid power balance constraint are established with the goal of minimizing the microgrid operation cost; According to the microgrid economic model, the microgrid power balance constraint, combined with the grid connection point power constraint, the energy storage power constraint, and the remaining power percentage range constraint, the microgrid energy storage economic curve within a future preset time and the grid connection point power economic curve within a future preset time are obtained.

4. The coordinated control method of photovoltaic storage charging and discharging microgrid according to claim 2 is characterized in that: The microgrid economic model is: ； in, represents the microgrid operating cost, Indicates the power purchase curve of the grid connection point for a preset time in the future, It indicates the power selling power curve of the grid-connected point within the preset time in the future. represents the time-of-use electricity purchase price of the microgrid, represents the electricity price of surplus electricity sold on the grid, and t represents time; The microgrid power balance constraint is: ;in, , , Indicates the grid connection point power curve within the preset time in the future. It represents the load power forecast curve within the preset time in the future. It represents the economic curve of microgrid energy storage within the preset time in the future. Indicates the photovoltaic power prediction curve within the preset time in the future; The grid connection point power constraint is: ,in, Indicates the maximum power supply power of the power grid power supply area; The energy storage power constraint is: ,in, Indicates the rated charging and discharging power of the energy storage device; The remaining power percentage range constraints are: ,in, Indicates the minimum percentage of remaining energy storage capacity. Indicates the maximum percentage of remaining energy storage capacity.

5. The coordinated control method of photovoltaic storage charging and discharging microgrid according to claim 2 is characterized in that: The method of obtaining the charging and discharging electricity price and discharge margin of electric vehicles in different time periods according to the power economic curve of the grid connection point within the preset future time period includes: Dividing the power economic curve of the grid connection point within the preset future time into a balancing period, a power purchase period and a surplus period; For the balancing period, the charging electricity price of electric vehicles is consistent with the time-of-use electricity purchase price of the power grid, and the discharging electricity price and discharge margin of electric vehicles are both 0; For the electricity purchase period, the electric vehicle charging electricity price is consistent with the grid time-of-use electricity purchase price, the discharge margin at time t is consistent with the value of the grid connection point power economic curve at time t within the future preset time, and the electric vehicle discharge electricity price is obtained based on the microgrid electricity purchase cost optimization model and the electric vehicle discharge power and grid connection point purchase power guided by the electricity price; For the surplus power period, the electric vehicle discharge published electricity price and discharge margin are both 0, and the electric vehicle charging published electricity price is obtained based on the microgrid power sales revenue optimization model and the charging power and the grid-connected surplus power power.

6. The coordinated control method of photovoltaic storage charging and discharging microgrid according to claim 2 is characterized in that: The power economic curve of the electric vehicle is obtained by combining the charging and discharging electricity price and the discharge margin of the electric vehicle in different time periods with the operating parameters of the electric vehicle and taking the lowest charging cost of the electric vehicle as the goal, including: For different time periods, the electric vehicle charging and discharging electricity price, the electric vehicle charging power and the electric vehicle discharging power are used to construct an electric vehicle economic optimization model with the goal of minimizing the electric vehicle charging cost; Establishing charging and discharging power constraints, leaving the site remaining power percentage constraints, remaining power percentage range constraints, and the preset relationship between the electric vehicle discharge power and the grid connection point purchase power; The electric vehicle power economic curve is obtained according to the electric vehicle economic optimization model, the charging and discharging power constraints, the leaving-site remaining power percentage constraints, the remaining power percentage range constraints, and the preset relationship between the electric vehicle discharge power and the grid-connected point power purchase.

7. The method for coordinated control of a photovoltaic storage charging and discharging microgrid according to any one of claims 1 to 6, characterized in that: The controlling of energy storage charging and discharging power according to the microgrid energy storage economic curve and the controlling of electric vehicle charging and discharging power according to the electric vehicle power economic curve include: In the process of controlling the energy storage charging and discharging power according to the microgrid energy storage economic curve and controlling the electric vehicle charging and discharging power according to the electric vehicle power economic curve, detecting the operating state of the microgrid; When the microgrid is in a state of surplus power grid-connected, the power consumption of the microgrid is increased and the surplus power grid-connected power is reduced until the energy storage is charged at the maximum charging power; When the microgrid is operating normally, the energy storage charging and discharging power continues to be controlled according to the microgrid energy storage economic curve, and the electric vehicle charging and discharging power is controlled according to the electric vehicle power economic curve; When the microgrid is under heavy load operation, the power consumption of the microgrid is reduced, the energy storage charging power is reduced, or the energy storage discharging power is increased.

8. A photovoltaic storage charging and discharging microgrid coordinated control device, characterized in that: include: An acquisition module, used to acquire microgrid operating parameters and electric vehicle operating parameters of the current electric vehicle; An establishing module, used to establish a microgrid energy storage economic curve and an electric vehicle power economic curve according to the microgrid operating parameters and the electric vehicle operating parameters; A control module is used to control the energy storage charging and discharging power according to the microgrid energy storage economic curve, and to control the electric vehicle charging and discharging power according to the electric vehicle power economic curve.

9. An electronic device, characterized in that: include: Memory for storing computer programs; A processor is used to implement the steps of the photovoltaic storage charging and discharging microgrid coordinated control method as described in any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the photovoltaic storage charging and discharging microgrid coordinated control method as claimed in any one of claims 1 to 7 are implemented.

11. A computer program product comprising a computer program / instructions, characterized in that When the computer program / instruction is executed by a processor, the steps of the photovoltaic storage charging and discharging microgrid coordinated control method described in any one of claims 1 to 7 are implemented.

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