Group control and group scheduling control method and system based on optical storage and charging V2G

Abstract

The invention discloses a group control and group dispatching control method and system based on photovoltaic storage and charging V2G, and relates to the technical field of power dispatching. User historical electricity consumption data, charging pile historical electricity consumption data and photovoltaic historical generating capacity data are input into a preset power generation simulation model; thermal generator set simulation generating capacity data, photovoltaic simulation generating capacity data and energy storage simulation generating capacity data are obtained; and inputting the current power consumption data of the user, the current power consumption data of the charging pile, the simulated generating capacity data of the thermal generator set, the photovoltaic simulated generating capacity data and the energy storage simulated generating capacity data into a preset power dispatching model to obtain charging pile dispatching power data and energy storage dispatching power data. Compared with the prior art, according to the embodiment of the invention, the electric quantity is dispatched in a multivariate manner by utilizing the thermal generator set simulation generating capacity data, the photovoltaic simulation generating capacity data and the energy storage simulation electric quantity data, and the dispatching cost of the electric quantity is reduced because the dispatching cost of the photovoltaic power generation and the energy storage electric quantity is relatively low.

Description

Technical Field

[0001] The present disclosure relates to the technical field of power dispatching, and in particular to a group control method and system based on photovoltaic storage and charging V2G group control. Background Art

[0002] With the continuous development of electric vehicles, a large number of charging piles are connected to the power grid, which brings a certain burden to the power system. In order to meet the charging needs of electric vehicles, the power system needs to dispatch power resources.

[0003] In the relevant technologies for dispatching electric power resources, the electric power resource dispatching method is to dispatch electric power resources by single dispatching the power generation of thermal power units. When the demand for electric power resources in the power system is large, the power generation of thermal power units needs to be increased. The power generation cost of thermal power units is high, and single dispatching of the power generation of thermal power units has the problem of high dispatching cost. Summary of the invention

[0004] The present invention provides a V2G group control and group dispatching control method and system based on photovoltaic storage and charging. Its main purpose is to solve the problem that the power generation cost of thermal power units is high and the power generation of single dispatching thermal power units has high dispatching cost.

[0005] According to a first aspect of the present disclosure, a V2G group control and group modulation control method based on photovoltaic storage and charging is provided, which includes: Obtain the user's historical electricity consumption data, the charging pile's historical electricity consumption data, the user's current electricity consumption data, the charging pile's current electricity consumption data, and the photovoltaic historical power generation data and photovoltaic current power generation data; Input the user's historical electricity consumption data, the charging pile's historical electricity consumption data, and the photovoltaic historical power generation data into a preset power generation simulation model to obtain the thermal power generation set simulation power generation data, photovoltaic simulation power generation data, and energy storage simulation power data; Input the user's current power consumption data, the charging pile's current power consumption data, the thermal power generator set's simulated power generation data, the photovoltaic simulated power generation data, and the energy storage simulated power data into a preset power scheduling model to obtain the charging pile scheduling power data and the energy storage scheduling power data; A first control instruction for sending the charging pile scheduling power data to the charging pile management platform, and a second control instruction for sending the energy storage scheduling power data to the energy storage management platform, so that the charging pile management platform performs power scheduling based on the first control instruction, and so that the energy storage management platform performs power scheduling based on the second control instruction.

[0006] Optionally, the method for constructing the preset power generation simulation model includes: Generate power generation variables of the thermal power generating set, generate power storage variables of energy storage, and generate photovoltaic power generation variables respectively; the power generation variables include at least one of switch state variables, opening action variables, closing action variables, and thermal power generation power variables; Obtaining a first preset coefficient corresponding to the power generation variable, a second preset coefficient corresponding to the power storage variable, and a third preset coefficient corresponding to the photovoltaic power generation variable; wherein the first preset coefficient includes at least one of a fourth preset coefficient corresponding to the switch state variable, a fifth preset coefficient of the opening action variable, a sixth preset coefficient corresponding to the closing action variable, and a seventh preset coefficient corresponding to the thermal power generation variable; Generate a first constraint condition for the thermal power generating set, a second constraint condition for the photovoltaic system, a third constraint condition for the energy storage system, and a fourth constraint condition for the charging pile; A preset power generation simulation function is generated based on the power generation variable, the electricity storage variable, the photovoltaic power generation power variable, the first preset coefficient, the second preset coefficient, and the third preset coefficient, and the preset power generation simulation model is generated based on the preset power generation simulation function, the first constraint condition, the second constraint condition, the third constraint condition, and the fourth constraint condition.

[0007] Optionally, generating a preset power generation simulation function according to the power generation variable, the power storage variable, the photovoltaic power generation power variable, the first preset coefficient, the second preset coefficient, and the third preset coefficient includes: The power generation variable is multiplied by the first preset coefficient as a new power generation variable, the power storage variable is multiplied by the second preset coefficient as a new power storage variable, and the photovoltaic power generation power variable is multiplied by the third preset coefficient as a new photovoltaic power generation power variable, wherein the new power generation variable includes at least one of multiplying the switch state variable by the fourth preset coefficient, multiplying the opening action variable by the fifth preset coefficient, multiplying the closing action variable by the sixth preset coefficient, and multiplying the thermal power generation power variable by the seventh preset coefficient; The new power generation variable, the new electricity storage variable, and the new photovoltaic power generation power variable are added together to form the preset power generation simulation function.

[0008] Optionally, the first constraint condition for generating the thermal power generating set, the second constraint condition for the photovoltaic system, the third constraint condition for the energy storage system, and the fourth constraint condition for the charging pile include: Obtain the first power generation upper limit and the second power generation lower limit of the thermal power generating set, obtain the second power generation upper limit and the second power generation lower limit of the photovoltaic, obtain the capacity lower limit and the capacity upper limit of the energy storage, and obtain the power consumption upper limit and the power consumption lower limit of the charging pile; Determining as the first constraint condition that the thermal power generation power variable is greater than or equal to the second power generation lower limit and the thermal power generation power variable is less than or equal to the first power generation upper limit; Determining as the second constraint condition that the photovoltaic power generation power variable is greater than or equal to the second power generation lower limit and the photovoltaic power generation power variable is less than or equal to the second power generation upper limit; Determining that the power storage variable is greater than or equal to the lower capacity limit and the power storage variable is less than or equal to the upper capacity limit as the third constraint condition; The fourth constraint condition is determined as follows: the power consumption of the charging pile is greater than or equal to the lower power consumption limit and the power consumption is less than or equal to the upper power consumption limit.

[0009] Optionally, the method for constructing the preset power dispatch model includes: Generate a discharge power variable, a charge and discharge efficiency variable, a charge power variable, and a power transfer variable of the energy storage; Obtaining a ninth preset coefficient, and obtaining a tenth preset coefficient corresponding to the power transfer variable; the ninth preset coefficient is a preset coefficient corresponding to any one of the discharge power variable, the charge-discharge efficiency variable, and the charging power variable; The preset power scheduling model is generated according to the discharge power variable, the charge and discharge efficiency variable, the charging power variable, the power transfer variable, the ninth preset coefficient, and the tenth preset coefficient.

[0010] Optionally, generating the preset power scheduling model according to the discharge power variable, the charge and discharge efficiency variable, the charging power variable, the power transfer variable, the ninth preset coefficient, and the tenth preset coefficient includes: Dividing the discharge power variable by the charge and discharge efficiency variable to obtain a first variable; multiplying the charging power variable by the charging and discharging efficiency variable as a second variable, and adding the first variable to the second variable as a third variable; multiplying the third variable by the ninth preset coefficient to obtain a new third variable, and multiplying the power transfer variable by the tenth preset coefficient to obtain a new power transfer variable; The new third variable and the new power transfer variable are multiplied to obtain the preset power scheduling model.

[0011] Optionally, the first control instruction for sending the charging pile scheduling power data to the charging pile management platform and the second control instruction for sending the energy storage scheduling power data to the energy storage management platform include: If a third control instruction for performing power dispatching on the charging pile management platform is received from the control end, the third control instruction is sent to the charging pile management platform, and the first control instruction is stopped from being sent to the charging pile management platform, so that the charging pile management platform performs power dispatching based on the third control instruction; If a fourth control instruction for scheduling power flow to the energy storage management platform is received from the control end, the fourth control instruction is sent to the energy storage management platform, and the second control instruction is stopped from being sent to the energy storage management platform, so that the energy storage management platform can schedule power flow based on the fourth control instruction.

[0012] According to a second aspect of the present disclosure, a power resource scheduling device based on photovoltaic storage and charging V2G is provided, comprising: An acquisition unit is used to acquire the user's historical power consumption data, the charging pile's historical power consumption data, the user's current power consumption data, the charging pile's current power consumption data, and the photovoltaic historical power generation data and photovoltaic current power generation data; The first input unit is used to input the user's historical power consumption data, the charging pile's historical power consumption data, and the photovoltaic historical power generation data into a preset power generation simulation model to obtain the thermal power generation set simulation power generation data, photovoltaic simulation power generation data, and energy storage simulation power data; The second input unit is used to input the current power consumption data of the user, the current power consumption data of the charging pile, the simulated power generation data of the thermal power generator set, the simulated photovoltaic power generation data, and the simulated energy storage power data into a preset power scheduling model to obtain the charging pile scheduling power data and the energy storage scheduling power data; A sending unit is used to send a first control instruction for sending the charging pile scheduling power data to a charging pile management platform, and to send a second control instruction for sending the energy storage scheduling power data to an energy storage management platform, so that the charging pile management platform performs power scheduling based on the first control instruction, and so that the energy storage management platform performs power scheduling based on the second control instruction.

[0013] Optionally, the device comprises: A first generating unit is used to generate power generation variables of the thermal power generating set, generate power storage variables of energy storage, and generate photovoltaic power generation variables; the power generation variables include at least one of switch state variables, opening action variables, closing action variables, and thermal power generation power variables; The acquisition unit is further used to acquire a first preset coefficient corresponding to the power generation variable, a second preset coefficient corresponding to the power storage variable, and a third preset coefficient corresponding to the photovoltaic power generation power variable; wherein the first preset coefficient includes at least one of a fourth preset coefficient corresponding to the switch state variable, a fifth preset coefficient of the opening action variable, a sixth preset coefficient corresponding to the closing action variable, and a seventh preset coefficient corresponding to the thermal power generation power variable; A second generation unit is used to generate a first constraint condition of the thermal power generating set, a second constraint condition of the photovoltaic system, a third constraint condition of the energy storage system, and a fourth constraint condition of the charging pile; The third generating unit is used to generate a preset power generation simulation function according to the power generation variable, the power storage variable, the photovoltaic power generation power variable, the first preset coefficient, the second preset coefficient, and the third preset coefficient, and to generate the preset power generation simulation model according to the preset power generation simulation function, the first constraint condition, the second constraint condition, the third constraint condition, and the fourth constraint condition.

[0014] Optionally, the third generating unit includes: The first is used as a module, which is used to multiply the power generation variable by the first preset coefficient as a new power generation variable, multiply the power storage variable by the second preset coefficient as a new power storage variable, and multiply the photovoltaic power generation variable by the third preset coefficient as a new photovoltaic power generation variable, wherein the new power generation variable includes at least one of multiplying the switch state variable by the fourth preset coefficient, multiplying the opening action variable by the fifth preset coefficient, multiplying the closing action variable by the sixth preset coefficient, and multiplying the thermal power generation variable by the seventh preset coefficient; The second is a module for adding the new power generation variable, the new electricity storage variable and the new photovoltaic power generation power variable as the preset power generation simulation function.

[0015] Optionally, the second generating unit includes: An acquisition module, used to acquire the first power generation upper limit and the second power generation lower limit of the thermal power generating set, acquire the second power generation upper limit and the second power generation lower limit of the photovoltaic, acquire the capacity lower limit and the capacity upper limit of the energy storage, and acquire the power consumption upper limit and the power consumption lower limit of the charging pile; A determination module, configured to determine that the thermal power generation power variable is greater than or equal to the second power generation lower limit and the thermal power generation power variable is less than or equal to the first power generation upper limit as the first constraint condition; The determination module is further used to determine that the photovoltaic power generation power variable is greater than or equal to the second power generation power lower limit and the photovoltaic power generation power variable is less than or equal to the second power generation power upper limit as the second constraint condition; The determining module is further configured to determine that the power storage variable is greater than or equal to the lower capacity limit and the power storage variable is less than or equal to the upper capacity limit as the third constraint condition; The determination module is further configured to determine that the power consumption of the charging pile is greater than or equal to the lower power consumption limit and the power consumption is less than or equal to the upper power consumption limit as the fourth constraint condition.

[0016] Optionally, the device further comprises: a fourth generating unit, configured to generate a discharge power variable, a charge and discharge efficiency variable, a charge power variable, and a power transfer variable of the energy storage; The acquisition unit is further used to acquire a ninth preset coefficient and a tenth preset coefficient corresponding to the power transfer variable; the ninth preset coefficient is a preset coefficient corresponding to any one of the discharge power variable, the charge and discharge efficiency variable, and the charging power variable; The fifth generating unit is used to generate the preset power scheduling model according to the discharge power variable, the charge and discharge efficiency variable, the charging power variable, the power transfer variable, the ninth preset coefficient, and the tenth preset coefficient.

[0017] Optionally, the fifth generating unit includes: The third module is used to divide the discharge power variable by the charge and discharge efficiency variable as a first variable; The fourth is a module, configured to multiply the charging power variable and the charging and discharging efficiency variable as a second variable, and add the first variable and the second variable as a third variable; The fifth module is used to multiply the third variable by the ninth preset coefficient to obtain a new third variable, and to multiply the power transfer variable by the tenth preset coefficient to obtain a new power transfer variable; The sixth module is used to multiply the new third variable and the new power transfer variable as the preset power scheduling model.

[0018] Optionally, the sending unit includes: a first sending module, configured to, when receiving a third control instruction for performing power scheduling on the charging pile management platform sent by the control end, send the third control instruction to the charging pile management platform, and stop sending the first control instruction to the charging pile management platform, so that the charging pile management platform performs power scheduling based on the third control instruction; The second sending module is used to send the fourth control instruction to the energy storage management platform and stop sending the second control instruction to the energy storage management platform when receiving the fourth control instruction sent by the control end for scheduling the energy storage management platform, so that the energy storage management platform can schedule the energy based on the fourth control instruction.

[0019] According to a third aspect of the present disclosure, a dispatching system for electric power resources is provided, the system comprising a control terminal, a management terminal, a charging pile management platform and an energy storage management platform, including: The management end includes the power resource scheduling device based on photovoltaic storage and charging V2G as described in the second aspect of the present disclosure; The control end is used to send a third control instruction to the charging pile management platform for performing power dispatch on the charging pile management platform, and / or send a fourth control instruction to the energy storage management platform for performing power dispatch on the energy storage management platform; The charging pile management platform is used to receive a first control instruction for charging pile scheduling power data, and perform power scheduling based on the first control instruction; the charging pile scheduling power data is the charging pile scheduling power data obtained according to the user's historical power consumption data, the charging pile's historical power consumption data, the user's current power consumption data, the charging pile's current power consumption data, the photovoltaic historical power generation data, and the photovoltaic current power generation data; The energy storage management platform is configured to receive a second control instruction for energy storage scheduling power data, and perform power scheduling based on the second control instruction; the energy storage scheduling power data is energy storage scheduling power data obtained based on user historical power consumption data, charging pile historical power consumption data, user current power consumption data, charging pile current power consumption data, photovoltaic historical power generation data, and photovoltaic current power generation data; The charging pile management platform is used to receive a third control instruction for performing power scheduling on the charging pile management platform, and perform power scheduling based on the third control instruction; The energy storage management platform is used to receive a fourth control instruction for performing power dispatch on the energy storage management platform, and perform power dispatch based on the fourth control instruction.

[0020] According to a third aspect of the present disclosure, there is provided an electronic device, including: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method described in the first aspect.

[0021] According to a fourth aspect of the present disclosure, a non-transitory computer-readable storage medium storing computer instructions is provided, wherein the computer instructions are used to enable the computer to execute the method described in the first aspect.

[0022] According to a fifth aspect of the present disclosure, a computer program product is provided, comprising a computer program, wherein when the computer program is executed by a processor, the computer program implements the method as described in the first aspect above.

[0023] The present disclosure provides a V2G group control and group dispatching control method and system based on photovoltaic storage and charging, which obtains historical electricity consumption data of users, historical electricity consumption data of charging piles, current electricity consumption data of users, current electricity consumption data of charging piles, and historical photovoltaic power generation data and current photovoltaic power generation data; inputs the historical electricity consumption data of users, historical electricity consumption data of charging piles, and historical photovoltaic power generation data into a preset power generation simulation model to obtain simulated power generation data of thermal power generating sets, simulated photovoltaic power generation data, and simulated energy storage electricity data; inputs the current electricity consumption data of users, current electricity consumption data of charging piles, simulated power generation data of thermal power generating sets, simulated photovoltaic power generation data, and simulated energy storage electricity data into a preset electricity dispatching model to obtain charging pile dispatching electricity data and energy storage dispatching electricity data; sends a first control instruction for the charging pile dispatching electricity data to a charging pile management platform, and sends a second control instruction for the energy storage dispatching electricity data to the energy storage management platform, so that the charging pile management platform performs electricity dispatching based on the first control instruction, so that the energy storage management platform performs electricity dispatching based on the second control instruction. Compared with the related art, the embodiment of the present disclosure dispatches electricity in a multi-faceted manner by utilizing simulated power generation data of thermal power generating sets, simulated power generation data of photovoltaic power generation, and simulated power storage data. Since the dispatching cost of photovoltaic power generation and energy storage power is relatively low, the dispatching cost of electricity is reduced.

[0024] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] The accompanying drawings are used to better understand the present solution and do not constitute a limitation of the present disclosure. Figure 1 A flow chart of a V2G group control and group modulation control method based on photovoltaic storage and charging provided in an embodiment of the present disclosure; Figure 2 A schematic diagram of a flow chart of a method for constructing a preset power generation simulation model provided in an embodiment of the present disclosure; Figure 3A control terminal, a management terminal, a charging pile management platform and an energy storage management platform provided in an embodiment of the present disclosure are connected; Figure 4 A schematic diagram of a flow chart of executing a power dispatching strategy provided by an embodiment of the present disclosure; Figure 5 A comparative schematic diagram of power generation of a thermal power unit provided in an embodiment of the present disclosure; Figure 6 A schematic diagram of comparison between actual power generation and actual power consumption provided by an embodiment of the present disclosure; Figure 7 A schematic diagram comparing the operating costs of building a photovoltaic energy storage system and not building a photovoltaic energy storage system provided by an embodiment of the present disclosure; Figure 8 A schematic diagram comparing the operating costs of another embodiment of the present disclosure with those of a photovoltaic energy storage system and a photovoltaic energy storage system; Fig. 9 A schematic diagram of the structure of a power resource scheduling device based on photovoltaic storage and charging V2G provided in an embodiment of the present disclosure; Fig.10 A schematic diagram of the structure of another power resource scheduling device based on photovoltaic storage and charging V2G provided in an embodiment of the present disclosure; Fig.11 A schematic diagram of the structure of a power resource dispatching system provided by an embodiment of the present disclosure; Fig.12 A schematic block diagram of an exemplary electronic device provided for an embodiment of the present disclosure. DETAILED DESCRIPTION

[0026] The following is a description of exemplary embodiments of the present disclosure in conjunction with the accompanying drawings, including various details of the embodiments of the present disclosure to facilitate understanding, which should be considered as merely exemplary. Therefore, it should be recognized by those of ordinary skill in the art that various changes and modifications may be made to the embodiments described herein without departing from the scope and spirit of the present disclosure. Similarly, for the sake of clarity and conciseness, descriptions of well-known functions and structures are omitted in the following description.

[0027] The following describes the V2G group control and group modulation control method and system based on solar storage and charging according to the embodiments of the present disclosure with reference to the accompanying drawings.

[0028] Figure 1 The present invention is a flowchart of a V2G group control and group modulation control method based on photovoltaic storage and charging provided in an embodiment of the present invention.

[0029] like Figure 1 As shown, the method is applied in a server, and the method comprises the following steps: Step 101, obtaining the user's historical electricity consumption data, the charging pile's historical electricity consumption data, the user's current electricity consumption data, the charging pile's current electricity consumption data, and obtaining the photovoltaic historical power generation data and photovoltaic current power generation data.

[0030] The user's historical electricity consumption data is the total electricity consumption of all users within the jurisdiction of the power grid dispatching center in the past period of time; the charging pile historical electricity consumption data is the total electricity consumption of all charging piles within the jurisdiction of the power grid dispatching center in the past period of time; the user's current electricity consumption data is the total electricity consumption of all users within the jurisdiction of the power grid dispatching center at the current moment; the charging pile current electricity consumption data is the total electricity consumption of all charging piles within the jurisdiction of the power grid dispatching center at the current moment; the photovoltaic historical power generation data is the total power generation of all photovoltaic power generation units within the jurisdiction of the power grid dispatching center in the past period of time; the photovoltaic current power generation data is the power generation of all photovoltaic power generation units within the jurisdiction of the power grid dispatching center at the current moment.

[0031] The power grid dispatching center is used to monitor and manage the operation of the power system, monitor key parameters such as power load, power generation, and transmission line status, ensure the stable operation of the power system, formulate reasonable power generation plans based on load demand and power generation capacity, and optimize the operating efficiency of the power system.

[0032] By obtaining historical electricity consumption data of users, historical electricity consumption data of charging piles, current electricity consumption data of users, current electricity consumption data of charging piles, and historical photovoltaic power generation data and current photovoltaic power generation data, we can better understand the electricity consumption and power generation situation, which is helpful for energy management and power scheduling.

[0033] Step 102, input the user's historical electricity consumption data, the charging pile's historical electricity consumption data, and the photovoltaic historical power generation data into a preset power generation simulation model to obtain the thermal power generation set simulation power generation data, photovoltaic simulation power generation data, and energy storage simulation power data.

[0034] The preset power generation simulation model is a computing tool based on a preset power generation simulation algorithm. It is used to simulate and predict the power generation / discharge of different types of power generation equipment (such as thermal power generating units, photovoltaic power generation systems) and energy storage systems under specific conditions. The preset power generation simulation model receives input of historical user power consumption data, historical charging pile power consumption data and historical photovoltaic power generation data, and calculates according to the preset power generation simulation algorithm to finally generate thermal power generating unit simulated power generation data, photovoltaic simulated power generation data and energy storage simulated power data.

[0035] The calculation formula of the preset power generation simulation model algorithm can be realized by formula (1): (1) in, , , , , , , , is the preset coefficient, , , , They are the thermal power generation variable, switch state variable, opening action variable, and closing action variable of the thermal power generating unit. To run the variable, is the power storage variable of the energy storage unit, is the power generation variable of the photovoltaic generator set; Among them, the simulated power generation data of thermal power generating units is the total power generation plan of all thermal power generating units under the jurisdiction of the power grid dispatching center in a certain period of time in the future; the simulated photovoltaic power generation data is the total power generation plan of all photovoltaic power generating units under the jurisdiction of the power grid dispatching center in a certain period of time in the future; the simulated energy storage power data is the total storage power plan of all energy storage units under the jurisdiction of the power grid dispatching center in a certain period of time in the future.

[0036] By understanding the power generation / discharge conditions of different types of power generation equipment and energy storage systems obtained through simulation, we can better perform power dispatch, reasonably arrange the operating time of different power generation equipment and the discharge time of energy storage systems, and make the power supply more stable and efficient.

[0037] Step 103, input the user's current electricity consumption data, the charging pile's current electricity consumption data, the thermal power generator set simulated power generation data, the photovoltaic simulated power generation data, and the energy storage simulated power data into a preset power scheduling model to obtain the charging pile scheduling power data and the energy storage scheduling power data.

[0038] The current electricity consumption data of users is the total electricity consumption of all users within the jurisdiction of the power grid dispatching center at the current moment, and the current electricity consumption data of charging piles is the total electricity consumption of all charging piles within the jurisdiction of the power grid dispatching center at the current moment.

[0039] The preset power dispatch model is an algorithm used to optimize the operation of the power system. It aims to reasonably allocate power resources according to power demand and supply. The preset power dispatch model usually takes into account multiple factors, including the cost of electricity generation, environmental impact, system reliability and stability, etc., to ensure that the power system can operate efficiently, economically and sustainably.

[0040] The calculation formula of the preset power dispatch model can be realized by formula (2): (2) in, , , , They are the discharge power variable, charge and discharge efficiency variable, charge power variable, and power transfer variable of the energy storage unit. , is the preset coefficient.

[0041] The charging pile dispatching power data is the power allocated to all charging piles within the jurisdiction of the power grid dispatching center, and the energy storage simulation power data is the power required to be charged or discharged by all energy storage units within the jurisdiction of the power grid dispatching center.

[0042] By accurately matching various power resources and power demands, the operating efficiency of the entire power grid can be improved.

[0043] Step 104, sending a first control instruction for dispatching power data of the charging pile to the charging pile management platform, and sending a second control instruction for dispatching power data of the energy storage to the energy storage management platform, so that the charging pile management platform performs power dispatch based on the first control instruction, and so that the energy storage management platform performs power dispatch based on the second control instruction.

[0044] The charging pile management platform is used to monitor the status of each charging pile in real time, including but not limited to charging power, current and voltage, charging progress, equipment failure and other information. It can control the charging or discharging process of the charging pile and adjust the charging power. The energy storage management platform can monitor the key parameters of the energy storage equipment in real time, such as the battery charging status, voltage, current, temperature, etc. It can control the charging or discharging process of the energy storage unit and adjust the charging and discharging strategy.

[0045] By sending control instructions to the charging pile management platform and the energy storage management platform to perform power dispatch, the optimal configuration of power resources can be achieved, energy utilization efficiency can be improved, and the stable and reliable operation of the power grid can be ensured.

[0046] The present disclosure provides a V2G group control and group dispatching control method based on photovoltaic storage and charging, which obtains historical electricity consumption data of users, historical electricity consumption data of charging piles, current electricity consumption data of users, current electricity consumption data of charging piles, and historical photovoltaic power generation data and current photovoltaic power generation data; inputs the historical electricity consumption data of users, historical electricity consumption data of charging piles, and historical photovoltaic power generation data into a preset power generation simulation model to obtain simulated power generation data of thermal power generating sets, simulated photovoltaic power generation data, and simulated energy storage electricity data; inputs the current electricity consumption data of users, current electricity consumption data of charging piles, simulated power generation data of thermal power generating sets, simulated photovoltaic power generation data, and simulated energy storage electricity data into a preset electricity dispatching model to obtain charging pile dispatching electricity data and energy storage dispatching electricity data; sends a first control instruction for the charging pile dispatching electricity data to a charging pile management platform, and sends a second control instruction for the energy storage dispatching electricity data to the energy storage management platform, so that the charging pile management platform performs electricity dispatching based on the first control instruction, so that the energy storage management platform performs electricity dispatching based on the second control instruction. Compared with the related art, the embodiment of the present disclosure dispatches electricity in a multi-faceted manner by utilizing simulated power generation data of thermal power generating sets, simulated power generation data of photovoltaic power generation, and simulated power storage data. Since the dispatching cost of photovoltaic power generation and energy storage power is relatively low, the dispatching cost of electricity is reduced.

[0047] Related to the above embodiment, the preset power generation simulation power generation model needs to be pre-selected and constructed to ensure that the simulated power generation data of the thermal power generation unit, the simulated power generation data of the photovoltaic power generation and the simulated power data of the energy storage can be obtained, which can be implemented in the following ways but not limited to: Figure 2 As shown, Figure 2 A schematic flow chart of a method for constructing a preset power generation simulation model provided in an embodiment of the present disclosure includes: Step 201, respectively generate power generation variables of the thermal power generator set, generate energy storage power storage variables and generate photovoltaic power generation power variables; the power generation variables include at least one of switch state variables, opening action variables, closing action variables and thermal power generation power variables.

[0048] The thermal power generation variable, switch state variable, opening action variable, closing action variable, energy storage variable and photovoltaic power generation variable are respectively , , , , , .

[0049] By defining these detailed variables, the operating status of each component (such as thermal power generating units, energy storage units, photovoltaic generating units) can be accurately monitored and controlled. For example, the on-state variable and the off-state variable can help the system understand whether each device is running, while the on-action variable and the off-action variable are used to indicate when to start or stop the device. The thermal power generation variable directly reflects the output capacity of the thermal power generating unit.

[0050] Step 202, obtaining a first preset coefficient corresponding to the power generation variable, a second preset coefficient corresponding to the power storage variable, and a third preset coefficient corresponding to the photovoltaic power generation variable; wherein the first preset coefficient includes at least one of a fourth preset coefficient corresponding to the switch state variable, a fifth preset coefficient of the opening action variable, a sixth preset coefficient corresponding to the closing action variable, and a seventh preset coefficient corresponding to the thermal power generation variable.

[0051] The seventh preset coefficient, the fourth preset coefficient, the fifth preset coefficient, the sixth preset coefficient, the second preset coefficient, and the third preset coefficient are respectively , , , , , , , .

[0052] Through these preset coefficients, the energy management system can build a preset power generation simulation model algorithm to simulate and predict system performance and cost under different scheduling strategies. This model can be used to find the optimal energy configuration to minimize overall costs, maximize energy efficiency or achieve other set goals.

[0053] Step 203, generating a first constraint condition for the thermal power generating set, a second constraint condition for the photovoltaic power generation, a third constraint condition for the energy storage, and a fourth constraint condition for the charging pile.

[0054] The first constraint condition of the thermal power generating unit can be achieved by formula (3): (3) The second constraint of photovoltaic can be achieved by formula (4): (4) in, is the maximum value of the upper limit of the photovoltaic unit's power generation. , They are the upper and lower limits of the power generation of the photovoltaic unit respectively.

[0055] The third constraint of energy storage can be achieved by formula (5): (5) in, is the storage capacity of the energy storage unit, is the lower limit of the storage capacity of the energy storage unit, The upper limit of the storage capacity of the energy storage unit; The fourth constraint of the charging pile can be achieved by formula (6): (6) in, and Respectively represent the upper and lower limits of the charging pile's electricity consumption, Represents the maximum value of the upper limit of the charging pile's power consumption; These constraints can help limit the behavior of individual devices to avoid undesirable effects or adverse conditions, while ensuring that the system functions properly under a wide range of operating conditions.

[0056] Step 204, generates a preset power generation simulation function based on the power generation variable, the power storage variable, the photovoltaic power generation power variable, the first preset coefficient, the second preset coefficient, and the third preset coefficient, and generates the preset power generation simulation model based on the preset power generation simulation function, the first constraint condition, the second constraint condition, the third constraint condition, and the fourth constraint condition.

[0057] A preset power generation simulation function is generated according to the power generation variable, the power storage variable, the photovoltaic power generation power variable, the first preset coefficient, the second preset coefficient, and the third preset coefficient. Formulas (1), (3), (4), (5), and (6) are generated according to the preset power generation simulation function, the first constraint condition, the second constraint condition, the third constraint condition, and the fourth constraint condition. A preset power generation simulation model is composed of formulas (1), (3), (4), (5), and (6).

[0058] As a refinement of step 204, when generating a preset power generation simulation function according to the power generation variable, the power storage variable, the photovoltaic power generation variable, the first preset coefficient, the second preset coefficient, and the third preset coefficient, it can be implemented in but not limited to the following manner: multiplying the power generation variable with the first preset coefficient as a new power generation variable, multiplying the power storage variable with the second preset coefficient as a new power storage variable, and multiplying the photovoltaic power generation variable with the third preset coefficient as a new photovoltaic power generation variable, wherein the new power generation variable includes at least one of multiplying the switch state variable with the fourth preset coefficient, multiplying the opening action variable with the fifth preset coefficient, multiplying the closing action variable with the sixth preset coefficient, and multiplying the thermal power generation variable with the seventh preset coefficient; adding the new power generation variable, the new power storage variable, and the new photovoltaic power generation variable as the preset power generation simulation function.

[0059] Specifically, the implementation process of this embodiment is a textual description of formula (1).

[0060] As a refinement of step 203, when executing the generation of the first constraint condition of the thermal power generator set, the second constraint condition of the photovoltaic system, the third constraint condition of the energy storage system, and the fourth constraint condition of the charging pile, it can be implemented in the following manner but not limited to: obtaining the first upper limit and the second lower limit of the power generation of the thermal power generator set, obtaining the second upper limit and the second lower limit of the power generation of the photovoltaic system, obtaining the capacity lower limit and the capacity upper limit of the energy storage system, and obtaining the power upper limit and the power lower limit of the charging pile; the thermal power generation power variable is greater than or equal to the second lower limit of the power generation power and the The thermal power generation power variable is less than or equal to the first power generation power upper limit, which is determined as the first constraint condition; the photovoltaic power generation power variable is greater than or equal to the second power generation power lower limit and the photovoltaic power generation power variable is less than or equal to the second power generation power upper limit, which is determined as the second constraint condition; the power storage variable is greater than or equal to the capacity lower limit and the power storage variable is less than or equal to the capacity upper limit, which is determined as the third constraint condition; the power consumption of the charging pile is greater than or equal to the power consumption lower limit and the power consumption is less than or equal to the power consumption upper limit, which is determined as the fourth constraint condition.

[0061] Specifically, the implementation process of this embodiment is a textual description of formulas (3), (4), (5), and (6).

[0062] Related to the above embodiment, the preset power dispatching model needs to be constructed in advance to ensure that the charging pile dispatching power data and the energy storage dispatching power data can be obtained, which can be implemented in but not limited to the following ways: generating the discharge power variable, charge and discharge efficiency variable, charging power variable, and power transfer variable of the energy storage; obtaining the ninth preset coefficient, and obtaining the tenth preset coefficient corresponding to the power transfer variable; the ninth preset coefficient is a preset coefficient corresponding to any one of the discharge power variable, the charge and discharge efficiency variable, and the charging power variable; generating the preset power dispatching model according to the discharge power variable, the charge and discharge efficiency variable, the charging power variable, the power transfer variable, the ninth preset coefficient, and the tenth preset coefficient.

[0063] Specifically, the implementation process of this embodiment is a textual description of formula (2).

[0064] As a refinement of the above embodiment, when generating the preset power scheduling model according to the discharge power variable, the charge and discharge efficiency variable, the charging power variable, the power transfer variable, the ninth preset coefficient, and the tenth preset coefficient, it can be implemented in but not limited to the following ways: dividing the discharge power variable by the charge and discharge efficiency variable as the first variable; multiplying the charging power variable by the charge and discharge efficiency variable as the second variable, and adding the first variable to the second variable as the third variable; multiplying the third variable by the ninth preset coefficient as a new third variable, and multiplying the power transfer variable by the tenth preset coefficient as a new power transfer variable; multiplying the new third variable by the new power transfer variable as the preset power scheduling model.

[0065] Specifically, the implementation process of this embodiment is a textual description of formula (2).

[0066] As a refinement of step 104, when executing the first control instruction for sending the charging pile scheduling power data to the charging pile management platform and the second control instruction for sending the energy storage scheduling power data to the energy storage management platform, it can be implemented in but not limited to the following manner: if a third control instruction for scheduling power for the charging pile management platform is received from the control end, the third control instruction is sent to the charging pile management platform, and the first control instruction is stopped from being sent to the charging pile management platform, so that the charging pile management platform performs power scheduling based on the third control instruction; if a fourth control instruction for scheduling power for the energy storage management platform is received from the control end, the fourth control instruction is sent to the energy storage management platform, and the second control instruction is stopped from being sent to the energy storage management platform, so that the energy storage management platform performs power scheduling based on the fourth control instruction.

[0067] There are priorities between control instructions. The first control instruction and the second control instruction generated by the management end have lower priorities than the third control instruction and the fourth control instruction sent by the control end, which can avoid scheduling confusion caused by the simultaneous execution of multiple control instructions.

[0068] In one possible implementation of the embodiment of the present disclosure, the control end, the management end, the charging pile management platform and the energy storage management platform are connected. Figure 3 As shown, Figure 3 A schematic diagram of a connection relationship between a control terminal, a management terminal, a charging pile management platform and an energy storage management platform provided in an embodiment of the present disclosure. The connection relationship mainly includes a cluster control cloud platform and a server cluster on the flexible load station side, an operator management platform, and an edge server in the station, as well as a data acquisition unit of the charging pile, energy storage device and photovoltaic inverter connected to the edge server, a dispatch center controller on the grid side and a sales and marketing center management platform that connects the grid and the cluster control platform. The cluster control platform has the functions of charging and discharging and energy storage cluster control, real-time control, intelligent analysis, remote control, and data storage. It is also equipped with a network firewall and a secure access system. When the vehicle-to-grid (V2G) cluster control system operates normally, on the station side, the Internet of Vehicles platform of the electric vehicle load aggregator collects data such as equipment access information, adjustable capacity, upper and lower power limits, and response speed of the charging station / pile. The energy storage operator management platform uploads the data through the edge server connected to the energy storage device cluster, collects data such as the remaining power of the energy storage device, equipment access information, and upper and lower limits of reserved power, and the photovoltaic operator management collects data such as the remaining power of the energy storage device, equipment access information, and upper and lower limits of reserved power. The platform uploads and collects photovoltaic power generation data through the edge server connected to the energy storage device cluster, aggregates and sends it to the cluster controller. The cluster controller also combines the instructions of the grid-side dispatching center, including the frequency regulation tasks of the station, the active power change value and other data. The V2G cluster control system processes the collected data according to the designed relevant algorithms, generates control instructions for each energy storage device, photovoltaic inverter and electric vehicle load, and performs cluster control on the charging station / pile. The load control instruction is sent to the Internet of Vehicles platform of the load aggregator. After the Internet of Vehicles platform decomposes the control instruction again, it is sent to the charging pile to realize the control of the electric vehicle load. This process is repeated to maintain the dynamic balance of the power of the power grid and the efficient control of the station.

[0069] In order to better understand the power dispatch strategy, Figure 4 As shown, Figure 4A flowchart of the execution of an electricity dispatching strategy provided in an embodiment of the present disclosure is provided. When the V2G cluster control dispatching strategy starts to be executed, a two-stage method is used to construct a day-ahead dispatching model including new energy, energy storage and flexible loads. For day-ahead dispatching optimization, the monitoring data of the system on the station side is first read, and a complete description of the operating status of the charging station is achieved through the data. To achieve the optimal allocation of power control instructions, the V2G cluster control dispatching strategy considers the operating status of the energy storage device collected and uploaded by the energy storage data acquisition unit to construct energy storage constraints; considers the overall grid operation constraints on the grid side and the power generation side that are integrated and issued by the dispatching center to construct grid and power generation side constraints; considers the operating status of the photovoltaic inverter collected and uploaded by the photovoltaic data acquisition unit to construct energy storage constraints; considers the load aggregation operation The aggregated electric vehicle load adjustable capacity provided by the business management platform is used to construct the electric vehicle load dispatch constraint as shown; considering the grid energy balance of photovoltaic power generation, charging pile power consumption, and energy storage device charging and power generation, the line flow constraint, the power flow and energy equation constraint are constructed as shown; after obtaining the day-ahead power generation plan of the thermal power unit, a real-time control model can be constructed based on the real-time photovoltaic power generation data and charging pile power consumption data, considering the economic cost generated by the dispatch, and constructing the optimization dispatch objective function. The above model can calculate the dispatch plan of the energy storage device under the premise that the photovoltaic power generation and charging pile power consumption are known, thereby establishing a V2G station cluster control dispatch optimization model based on photovoltaic storage and charging. Considering the complexity of the model, the model is simplified and solved by the linear programming method to achieve efficient solution of the model. After obtaining the optimal solution, the control instructions are sent to the operator management platform for execution through the V2G cluster control system, and the V2G cluster control system reads the station operation data again and executes the above process cyclically, thereby maintaining the balance between the output and load of the generator set and ensuring the safe and stable operation of the system.

[0070] A 30-node system was used to optimize the system on the day-ahead. The number of photovoltaic and charging pile scenarios was taken as 200. In order to effectively simulate the pressure of charging piles on the power grid, the number of electric vehicles was taken as 10,000. Taking into account the solution time, the average daily construction cost of photovoltaics was set to 500,000 / (MW·day), and the average daily construction cost of energy storage devices was set to 100,000 / (MWh·day). Parameters such as the mana cost of thermal power generating units adopted the values ​​in the standard model. The energy storage device, photovoltaics and charging piles were arranged at node 24. The safety factor β was taken as 0.005, which means that there is a 99.5% probability that the line flow will not exceed the limit.

[0071] Compare the power generation plan of the system without photovoltaic and energy storage with the power generation plan of the system with photovoltaic and energy storage. Figure 5 As shown, Figure 5A comparative schematic diagram of power generation of a thermal power unit provided in an embodiment of the present disclosure shows that the power generation of the thermal power unit is significantly reduced after the construction of photovoltaic and energy storage. Most of the time, only three units are started, while there are four units before construction. This helps to reduce operating costs. The optimized operating cost in (a) is 15,568 yuan, while the operating cost in (b) including the construction cost is 13,751 yuan. It can be seen that its cost has been significantly reduced. The construction capacity of photovoltaic in (b) is 20.662MW, and the construction capacity of the energy storage device is 121.86MWh.

[0072] Without energy storage, when the actual load does not match the planned power generation, additional costs are required to adjust the system to stabilize it. After the construction of photovoltaic and energy storage devices, energy storage devices can be used to eliminate the mismatch between power generation and load within a certain range, thereby avoiding higher costs and safety hazards, such as Figure 6 As shown, Figure 6 A schematic diagram of the comparison between actual power generation and actual power consumption provided by the embodiment of the present disclosure. In another simulation, the power generation and load in (a) are mismatched, while in (b), because an energy storage device is built, the energy storage device can be used to adjust the system power balance when the load curve is in the shaded range. It can be seen from Figure (b) that the actual power load curve is always in the shaded range, so in the whole process, the system only needs to adjust the energy storage device to balance the power without paying additional costs.

[0073] In order to better understand the operating costs of power generation, such as Figure 7 As shown, Figure 8 As shown, Figure 7 A schematic diagram comparing the operating costs of building a photovoltaic energy storage system and not building a photovoltaic energy storage system provided by an embodiment of the present disclosure, Figure 8 Another schematic diagram of the comparison of the operating costs of building photovoltaic energy storage and not building photovoltaic energy storage provided by the embodiment of the present disclosure shows that the operating costs before and after building photovoltaic and energy storage are compared. After 10 simulations, the operating costs after construction are much lower than before construction, indicating that building energy storage and photovoltaic can reduce operating costs. And after building energy storage and photovoltaic, the volatility of its operating costs is also significantly reduced, which can more effectively plan the operation of the power system; Figure 8 The construction of photovoltaic energy storage and the comparison of the curves of the power generation of the system's thermal power units before and after the application of V2G are shown. It can be seen that it has played a significant role in filling the valley and shaving the peak. Compared with before construction, the peak power generation after construction has been significantly reduced, while the electricity consumption in the valley has increased, which has played a good peak-shaving effect, and its peak-shaving effect exceeds 10%.

[0074] In summary, the embodiments of the present disclosure can achieve the following effects: The disclosed embodiment dispatches electricity in a multi-faceted manner by utilizing simulated power generation data of thermal power generating sets, simulated power generation data of photovoltaic power generation, and simulated power storage data. Since the dispatching cost of photovoltaic power generation and energy storage power is relatively low, the dispatching cost of electricity is reduced.

[0075] Corresponding to the above-mentioned PV-storage-charging V2G group control and group dispatching control method, the present invention also proposes a PV-storage-charging V2G-based power resource dispatching device. Since the device embodiment of the present invention corresponds to the above-mentioned method embodiment, the details not disclosed in the device embodiment can be referred to the above-mentioned method embodiment, and will not be repeated in the present invention.

[0076] Fig. 9 This is a schematic diagram of the structure of a power resource scheduling device based on photovoltaic storage and charging V2G provided in an embodiment of the present disclosure, wherein the device is applied to a server, such as Fig. 9 As shown, including: The acquisition unit 31 is used to acquire the user's historical power consumption data, the charging pile's historical power consumption data, the user's current power consumption data, the charging pile's current power consumption data, and the photovoltaic historical power generation data and photovoltaic current power generation data; The first input unit 32 is used to input the user's historical power consumption data, the charging pile's historical power consumption data, and the photovoltaic historical power generation data into a preset power generation simulation model to obtain the thermal power generation set simulation power generation data, photovoltaic simulation power generation data, and energy storage simulation power data; The second input unit 33 is used to input the current power consumption data of the user, the current power consumption data of the charging pile, the simulated power generation data of the thermal power generator set, the simulated photovoltaic power generation data, and the simulated energy storage power data into a preset power scheduling model to obtain the charging pile scheduling power data and the energy storage scheduling power data; The sending unit 34 is used to send a first control instruction for sending the charging pile scheduling power data to the charging pile management platform, and to send a second control instruction for sending the energy storage scheduling power data to the energy storage management platform, so that the charging pile management platform performs power scheduling based on the first control instruction, and the energy storage management platform performs power scheduling based on the second control instruction.

[0077] The power resource dispatching device based on photovoltaic storage and charging V2G provided by the present disclosure obtains user historical power consumption data, charging pile historical power consumption data, user current power consumption data, charging pile current power consumption data, and obtains photovoltaic historical power generation data and photovoltaic current power generation data; inputs the user historical power consumption data, the charging pile historical power consumption data, and the photovoltaic historical power generation data into a preset power generation simulation model to obtain thermal power generation group simulation power generation data, photovoltaic simulation power generation data, and energy storage simulation power data; inputs the user current power consumption data, the charging pile current power consumption data, the thermal power generation group simulation power generation data, the photovoltaic simulation power generation data, and the energy storage simulation power data into a preset power dispatching model to obtain charging pile dispatching power data and energy storage dispatching power data; sends a first control instruction for the charging pile dispatching power data to a charging pile management platform, and sends a second control instruction for the energy storage dispatching power data to the energy storage management platform, so that the charging pile management platform performs power dispatch based on the first control instruction, so that the energy storage management platform performs power dispatch based on the second control instruction. Compared with the related art, the embodiment of the present disclosure dispatches electricity in a multi-faceted manner by utilizing simulated power generation data of thermal power generating sets, simulated power generation data of photovoltaic power generation, and simulated power storage data. Since the dispatching cost of photovoltaic power generation and energy storage power is relatively low, the dispatching cost of electricity is reduced.

[0078] Furthermore, in a possible implementation of the embodiment of the present disclosure, as Fig.10 As shown, the device comprises: The first generating unit 35 is used to generate power generation variables of the thermal power generating set, generate power storage variables of energy storage, and generate photovoltaic power generation variables; the power generation variables include at least one of switch state variables, opening action variables, closing action variables, and thermal power generation variables; The acquisition unit 31 is further used to acquire a first preset coefficient corresponding to the power generation variable, a second preset coefficient corresponding to the power storage variable, and a third preset coefficient corresponding to the photovoltaic power generation power variable; wherein the first preset coefficient includes at least one of a fourth preset coefficient corresponding to the switch state variable, a fifth preset coefficient of the opening action variable, a sixth preset coefficient corresponding to the closing action variable, and a seventh preset coefficient corresponding to the thermal power generation power variable; A second generating unit 36, configured to generate a first constraint condition of the thermal power generating set, a second constraint condition of the photovoltaic system, a third constraint condition of the energy storage system, and a fourth constraint condition of the charging pile; The third generating unit 37 is used to generate a preset power generation simulation function according to the power generation variable, the power storage variable, the photovoltaic power generation power variable, the first preset coefficient, the second preset coefficient, and the third preset coefficient, and to generate the preset power generation simulation model according to the preset power generation simulation function, the first constraint condition, the second constraint condition, the third constraint condition, and the fourth constraint condition.

[0079] Furthermore, in a possible implementation of the embodiment of the present disclosure, as Fig.10 As shown, the third generating unit 37 includes: The first is a module 371, which is used to multiply the power generation variable by the first preset coefficient as a new power generation variable, multiply the power storage variable by the second preset coefficient as a new power storage variable, and multiply the photovoltaic power generation variable by the third preset coefficient as a new photovoltaic power generation variable, wherein the new power generation variable includes at least one of multiplying the switch state variable by the fourth preset coefficient, multiplying the opening action variable by the fifth preset coefficient, multiplying the closing action variable by the sixth preset coefficient, and multiplying the thermal power generation variable by the seventh preset coefficient; The second module 372 is used to add the new power generation variable, the new power storage variable, and the new photovoltaic power generation power variable as the preset power generation simulation function.

[0080] Furthermore, in a possible implementation of the embodiment of the present disclosure, as Fig.10 As shown, the second generating unit 36 ​​includes: An acquisition module 361 is used to acquire a first power generation upper limit and a second power generation lower limit of the thermal power generating set, acquire a second power generation upper limit and a second power generation lower limit of the photovoltaic, acquire a capacity lower limit and a capacity upper limit of the energy storage, and acquire an upper power consumption upper limit and a lower power consumption lower limit of the charging pile; A determination module 362, configured to determine that the thermal power generation power variable is greater than or equal to the second power generation lower limit and the thermal power generation power variable is less than or equal to the first power generation upper limit as the first constraint condition; The determination module 363 is further used to determine that the photovoltaic power generation variable is greater than or equal to the second power generation lower limit and the photovoltaic power generation variable is less than or equal to the second power generation upper limit as the second constraint condition; The determining module 363 is further configured to determine that the power storage variable is greater than or equal to the capacity lower limit and the power storage variable is less than or equal to the capacity upper limit as the third constraint condition; The determination module 363 is further configured to determine that the power consumption of the charging pile is greater than or equal to the lower power consumption limit and the power consumption is less than or equal to the upper power consumption limit as the fourth constraint condition.

[0081] Furthermore, in a possible implementation of the embodiment of the present disclosure, as Fig.10 As shown, the device also includes: A fourth generating unit 38, configured to generate a discharge power variable, a charge and discharge efficiency variable, a charge power variable, and a power transfer variable of the energy storage; The acquisition unit 31 is further used to acquire a ninth preset coefficient and a tenth preset coefficient corresponding to the power transfer variable; the ninth preset coefficient is a preset coefficient corresponding to any one of the discharge power variable, the charge and discharge efficiency variable, and the charging power variable; The fifth generating unit 39 is used to generate the preset power scheduling model according to the discharge power variable, the charge and discharge efficiency variable, the charging power variable, the power transfer variable, the ninth preset coefficient, and the tenth preset coefficient.

[0082] Furthermore, in a possible implementation of the embodiment of the present disclosure, as Fig.10 As shown, the fifth generating unit 39 includes: The third module 391 is used to divide the discharge power variable by the charge and discharge efficiency variable to obtain a first variable; The fourth is a module 392, which is used to multiply the charging power variable and the charging and discharging efficiency variable as a second variable, and add the first variable and the second variable as a third variable; Fifth, as module 393, used to multiply the third variable by the ninth preset coefficient to obtain a new third variable, and multiply the power transfer variable by the tenth preset coefficient to obtain a new power transfer variable; The sixth module 394 is used to multiply the new third variable and the new power transfer variable as the preset power scheduling model.

[0083] Furthermore, in a possible implementation of the embodiment of the present disclosure, as Fig.10 As shown, the sending unit 34 includes: The first sending module 341 is used for sending the third control instruction to the charging pile management platform and stopping sending the first control instruction to the charging pile management platform when receiving the third control instruction sent by the control end for performing power scheduling on the charging pile management platform, so that the charging pile management platform performs power scheduling based on the third control instruction; The second sending module 342 is used for sending the fourth control instruction to the energy storage management platform and stopping sending the second control instruction to the energy storage management platform when receiving the fourth control instruction sent by the control end for scheduling the energy storage management platform, so that the energy storage management platform can schedule the energy based on the fourth control instruction.

[0084] Fig.11 A schematic diagram of a power resource dispatching system provided by an embodiment of the present disclosure is shown in FIG. Fig.11 As shown, including: Control terminal 41, management terminal 42, charging pile management platform 43 and energy storage management platform 44. Among them, management terminal 42 is a device configured at the management terminal; The control terminal 41 is used to send a third control instruction for performing power dispatch on the charging pile management platform to the charging pile management platform, and / or send a fourth control instruction for performing power dispatch on the energy storage management platform to the energy storage management platform; The charging pile management platform 43 is used to receive a first control instruction for charging pile scheduling power data, and perform power scheduling based on the first control instruction; the charging pile scheduling power data is the charging pile scheduling power data obtained according to the user's historical power consumption data, the charging pile's historical power consumption data, the user's current power consumption data, the charging pile's current power consumption data, the photovoltaic historical power generation data, and the photovoltaic current power generation data; The energy storage management platform 44 is used to receive a second control instruction of energy storage scheduling power data, and perform power scheduling based on the second control instruction; the energy storage scheduling power data is energy storage scheduling power data obtained according to the user's historical power consumption data, the charging pile's historical power consumption data, the user's current power consumption data, the charging pile's current power consumption data, the photovoltaic historical power generation data, and the photovoltaic current power generation data; The charging pile management platform 43 is used to receive a third control instruction for performing power dispatch on the charging pile management platform, and perform power dispatch based on the third control instruction; The energy storage management platform 44 is used to receive a fourth control instruction for performing power dispatch on the energy storage management platform, and perform power dispatch based on the fourth control instruction.

[0085] It should be noted that the above explanation of the method embodiment is also applicable to the device of this embodiment, and the principle is the same, which is not limited in this embodiment.

[0086] According to an embodiment of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium and a computer program product.

[0087] Fig.12A schematic block diagram of an example electronic device 500 that can be used to implement an embodiment of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present disclosure described and / or required herein.

[0088] like Fig.12 As shown, the device 500 includes a computing unit 501, which can perform various appropriate actions and processes according to a computer program stored in a ROM (Read-Only Memory) 502 or a computer program loaded from a storage unit 508 to a RAM (Random Access Memory) 503. In the RAM 503, various programs and data required for the operation of the device 500 can also be stored. The computing unit 501, the ROM 502, and the RAM 503 are connected to each other via a bus 504. An I / O (Input / Output) interface 505 is also connected to the bus 504.

[0089] A number of components in the device 500 are connected to the I / O interface 505, including: an input unit 506, such as a keyboard, a mouse, etc.; an output unit 507, such as various types of displays, speakers, etc.; a storage unit 508, such as a disk, an optical disk, etc.; and a communication unit 509, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 509 allows the device 500 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0090] The computing unit 501 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 501 include, but are not limited to, CPU (Central Processing Unit), GPU (Graphic Processing Units), various dedicated AI (Artificial Intelligence) computing chips, various computing units running machine learning model algorithms, DSP (Digital Signal Processor), and any appropriate processor, controller, microcontroller, etc. The computing unit 501 performs the various methods and processes described above, such as a V2G group control and group modulation control method based on light storage and charging. For example, in some embodiments, the V2G group control and group modulation control method based on light storage and charging may be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as a storage unit 508. In some embodiments, part or all of the computer program may be loaded and / or installed on the device 500 via the ROM 502 and / or the communication unit 509. When the computer program is loaded into the RAM 503 and executed by the computing unit 501, one or more steps of the method described above may be performed. Alternatively, in other embodiments, the computing unit 501 may be configured to perform the aforementioned V2G group control and group modulation control method based on solar storage charging by any other appropriate means (for example, by means of firmware).

[0091] Various embodiments of the systems and techniques described above herein may be implemented in digital electronic circuit systems, integrated circuit systems, FPGAs (Field Programmable Gate Arrays), ASICs (Application-Specific Integrated Circuits), ASSPs (Application Specific Standard Products), SOCs (System On Chips), CPLDs (Complex Programmable Logic Devices), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include: being implemented in one or more computer programs that may be executed and / or interpreted on a programmable system including at least one programmable processor that may be a dedicated or general-purpose programmable processor that may receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0092] The program code for implementing the method of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that the program code, when executed by the processor or controller, enables the functions / operations specified in the flow chart and / or block diagram to be implemented. The program code may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0093] In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or apparatus. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any suitable combination of the foregoing. More specific examples of machine-readable storage media may include an electrical connection based on one or more wires, a portable computer disk, a hard disk, RAM, ROM, EPROM (Electrically Programmable Read-Only-Memory) or flash memory, optical fiber, CD-ROM (Compact Disc Read-Only Memory), optical storage device, magnetic storage device, or any suitable combination of the foregoing.

[0094] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (Cathode-Ray Tube) or LCD (Liquid Crystal Display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0095] The systems and techniques described herein may be implemented in a computing system that includes a backend component (e.g., as a data server), or a computing system that includes a middleware component (e.g., an application server), or a computing system that includes a frontend component (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: LAN (Local Area Network), WAN (Wide Area Network), the Internet, and blockchain networks.

[0096] A computer system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The relationship between the client and the server is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services ("Virtual Private Server", or "VPS" for short). The server may also be a server of a distributed system, or a server combined with a blockchain.

[0097] It should be noted that artificial intelligence is a discipline that studies how computers can simulate certain human thought processes and intelligent behaviors (such as learning, reasoning, thinking, planning, etc.), and includes both hardware-level and software-level technologies. Artificial intelligence hardware technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, and big data processing; artificial intelligence software technologies mainly include computer vision technology, speech recognition technology, natural language processing technology, as well as machine learning / deep learning, big data processing technology, knowledge graph technology, and other major directions.

[0098] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps recorded in this disclosure can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solutions disclosed in this disclosure can be achieved, and this document does not limit this.

[0099] The above specific implementations do not constitute a limitation on the protection scope of the present disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present disclosure shall be included in the protection scope of the present disclosure.

Claims

1. A V2G group control and group modulation control method based on photovoltaic storage and charging, characterized in that: include: Obtain the user's historical electricity consumption data, the charging pile's historical electricity consumption data, the user's current electricity consumption data, the charging pile's current electricity consumption data, and the photovoltaic historical power generation data and photovoltaic current power generation data; Input the user's historical electricity consumption data, the charging pile's historical electricity consumption data, and the photovoltaic historical power generation data into a preset power generation simulation model to obtain the thermal power generation set simulation power generation data, photovoltaic simulation power generation data, and energy storage simulation power data; Input the user's current power consumption data, the charging pile's current power consumption data, the thermal power generator set's simulated power generation data, the photovoltaic simulated power generation data, and the energy storage simulated power data into a preset power scheduling model to obtain the charging pile scheduling power data and the energy storage scheduling power data; A first control instruction for sending the charging pile scheduling power data to the charging pile management platform, and a second control instruction for sending the energy storage scheduling power data to the energy storage management platform, so that the charging pile management platform performs power scheduling based on the first control instruction, and so that the energy storage management platform performs power scheduling based on the second control instruction.

2. The method according to claim 1, characterized in that The method for constructing the preset power generation simulation model includes: Generate power generation variables of the thermal power generating set, generate power storage variables of energy storage, and generate photovoltaic power generation variables respectively; the power generation variables include at least one of switch state variables, opening action variables, closing action variables, and thermal power generation power variables; Obtaining a first preset coefficient corresponding to the power generation variable, a second preset coefficient corresponding to the power storage variable, and a third preset coefficient corresponding to the photovoltaic power generation variable; wherein the first preset coefficient includes at least one of a fourth preset coefficient corresponding to the switch state variable, a fifth preset coefficient of the opening action variable, a sixth preset coefficient corresponding to the closing action variable, and a seventh preset coefficient corresponding to the thermal power generation variable; Generate a first constraint condition for the thermal power generating set, a second constraint condition for the photovoltaic system, a third constraint condition for the energy storage system, and a fourth constraint condition for the charging pile; A preset power generation simulation function is generated based on the power generation variable, the electricity storage variable, the photovoltaic power generation power variable, the first preset coefficient, the second preset coefficient, and the third preset coefficient, and the preset power generation simulation model is generated based on the preset power generation simulation function, the first constraint condition, the second constraint condition, the third constraint condition, and the fourth constraint condition.

3. The method according to claim 2, characterized in that The generating a preset power generation simulation function according to the power generation variable, the power storage variable, the photovoltaic power generation power variable, the first preset coefficient, the second preset coefficient, and the third preset coefficient comprises: The power generation variable is multiplied by the first preset coefficient as a new power generation variable, the power storage variable is multiplied by the second preset coefficient as a new power storage variable, and the photovoltaic power generation power variable is multiplied by the third preset coefficient as a new photovoltaic power generation power variable, wherein the new power generation variable includes at least one of multiplying the switch state variable by the fourth preset coefficient, multiplying the opening action variable by the fifth preset coefficient, multiplying the closing action variable by the sixth preset coefficient, and multiplying the thermal power generation power variable by the seventh preset coefficient; The new power generation variable, the new electricity storage variable, and the new photovoltaic power generation power variable are added together to form the preset power generation simulation function.

4. The method according to claim 3, characterized in that The first constraint condition for generating the thermal power generating set, the second constraint condition for the photovoltaic system, the third constraint condition for the energy storage system, and the fourth constraint condition for the charging pile include: Obtain the first power generation upper limit and the second power generation lower limit of the thermal power generating set, obtain the second power generation upper limit and the second power generation lower limit of the photovoltaic, obtain the capacity lower limit and the capacity upper limit of the energy storage, and obtain the power consumption upper limit and the power consumption lower limit of the charging pile; Determining as the first constraint condition that the thermal power generation power variable is greater than or equal to the second power generation lower limit and the thermal power generation power variable is less than or equal to the first power generation upper limit; Determining that the photovoltaic power generation power variable is greater than or equal to the second power generation power lower limit and the photovoltaic power generation power variable is less than or equal to the second power generation power upper limit as the second constraint condition; Determining that the power storage variable is greater than or equal to the lower capacity limit and the power storage variable is less than or equal to the upper capacity limit as the third constraint condition; The fourth constraint condition is determined as follows: the power consumption of the charging pile is greater than or equal to the lower power consumption limit and the power consumption is less than or equal to the upper power consumption limit.

5. The method according to claim 1, characterized in that The method for constructing the preset power dispatch model includes: Generate a discharge power variable, a charge and discharge efficiency variable, a charge power variable, and a power transfer variable of the energy storage; Obtaining a ninth preset coefficient, and obtaining a tenth preset coefficient corresponding to the power transfer variable; the ninth preset coefficient is a preset coefficient corresponding to any one of the discharge power variable, the charge-discharge efficiency variable, and the charging power variable; The preset power scheduling model is generated according to the discharge power variable, the charge and discharge efficiency variable, the charging power variable, the power transfer variable, the ninth preset coefficient, and the tenth preset coefficient.

6. The method according to claim 5, characterized in that The generating the preset power dispatch model according to the discharge power variable, the charge and discharge efficiency variable, the charging power variable, the power transfer variable, the ninth preset coefficient, and the tenth preset coefficient includes: Dividing the discharge power variable by the charge and discharge efficiency variable to obtain a first variable; multiplying the charging power variable by the charging and discharging efficiency variable as a second variable, and adding the first variable to the second variable as a third variable; multiplying the third variable by the ninth preset coefficient to obtain a new third variable, and multiplying the power transfer variable by the tenth preset coefficient to obtain a new power transfer variable; The new third variable and the new power transfer variable are multiplied to obtain the preset power scheduling model.

7. The method according to claim 1, characterized in that The first control instruction for sending the charging pile scheduling power data to the charging pile management platform and the second control instruction for sending the energy storage scheduling power data to the energy storage management platform include: If a third control instruction for performing power dispatching on the charging pile management platform is received from the control end, the third control instruction is sent to the charging pile management platform, and the first control instruction is stopped from being sent to the charging pile management platform, so that the charging pile management platform performs power dispatching based on the third control instruction; If a fourth control instruction for scheduling power flow to the energy storage management platform is received from the control end, the fourth control instruction is sent to the energy storage management platform, and the second control instruction is stopped from being sent to the energy storage management platform, so that the energy storage management platform can schedule power flow based on the fourth control instruction.

8. A power resource dispatching device based on photovoltaic storage and charging V2G, characterized in that: include: An acquisition unit is used to acquire the user's historical power consumption data, the charging pile's historical power consumption data, the user's current power consumption data, the charging pile's current power consumption data, and the photovoltaic historical power generation data and photovoltaic current power generation data; The first input unit is used to input the user's historical power consumption data, the charging pile's historical power consumption data, and the photovoltaic historical power generation data into a preset power generation simulation model to obtain the thermal power generation set simulation power generation data, photovoltaic simulation power generation data, and energy storage simulation power data; The second input unit is used to input the current power consumption data of the user, the current power consumption data of the charging pile, the simulated power generation data of the thermal power generator set, the simulated photovoltaic power generation data, and the simulated energy storage power data into a preset power scheduling model to obtain the charging pile scheduling power data and the energy storage scheduling power data; A sending unit is used to send a first control instruction for sending the charging pile scheduling power data to a charging pile management platform, and to send a second control instruction for sending the energy storage scheduling power data to an energy storage management platform, so that the charging pile management platform performs power scheduling based on the first control instruction, and so that the energy storage management platform performs power scheduling based on the second control instruction.

9. A dispatching system for electric power resources, characterized in that: The system includes a control terminal, a management terminal, a charging pile management platform and an energy storage management platform, including: The management end includes the power resource scheduling device based on photovoltaic storage and charging V2G as claimed in claim 8; The control end is used to send a third control instruction to the charging pile management platform for performing power dispatch on the charging pile management platform, and / or send a fourth control instruction to the energy storage management platform for performing power dispatch on the energy storage management platform; The charging pile management platform is used to receive a first control instruction for charging pile scheduling power data, and perform power scheduling based on the first control instruction; the charging pile scheduling power data is the charging pile scheduling power data obtained according to the user's historical power consumption data, the charging pile's historical power consumption data, the user's current power consumption data, the charging pile's current power consumption data, the photovoltaic historical power generation data, and the photovoltaic current power generation data; The energy storage management platform is configured to receive a second control instruction for energy storage scheduling power data, and perform power scheduling based on the second control instruction; the energy storage scheduling power data is energy storage scheduling power data obtained based on user historical power consumption data, charging pile historical power consumption data, user current power consumption data, charging pile current power consumption data, photovoltaic historical power generation data, and photovoltaic current power generation data; The charging pile management platform is used to receive a third control instruction for performing power scheduling on the charging pile management platform, and perform power scheduling based on the third control instruction; The energy storage management platform is used to receive a fourth control instruction for performing power dispatch on the energy storage management platform, and perform power dispatch based on the fourth control instruction.

10. An electronic device, characterized in that: include: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 7.

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