A comprehensive management system for the demand side of the power grid and the power grid

Abstract

This application provides a comprehensive management system and power grid for the demand side of a power grid, including: a power grid load management system, a power transmission control system, and a charging pile control system. The power grid load management system receives the first peak power generation from a power plant and determines a power shortage value based on the first peak power generation and historical electricity consumption data. It then determines an energy allocation index based on the power shortage value and sends it to the charging pile control system. The power transmission control system sends a transmission request to a first target electric vehicle. The transmission request is used to initiate energy recovery for the first target electric vehicle, and target feedback is used to indicate that the transmission request has been approved. The transmission list includes all first target electric vehicles corresponding to the target feedback. The charging pile control system determines the transmission power and the number of charging piles deployed based on the transmission list, and determines the charging power based on the transmission power, the number of charging piles deployed, and the energy allocation index. This solves the problem of power shortage during peak electricity consumption periods in the prior art.

Description

Technical Field

[0001] This invention relates to the field of integrated power grid management technology, and more specifically, to an integrated management system for the demand side of a power grid and a power grid. Background Technology

[0002] Currently, the feeding of electric energy back to the grid from new energy vehicles refers to the ability of electric vehicles to efficiently feed the electrical energy stored in their batteries back into the power grid using specific equipment. This plays a crucial role in grid management and balancing electricity demand during peak periods. This highly innovative and practical technology is known as Vehicle-to-Grid (V2G) technology.

[0003] Through V2G (Vehicle-to-Grid) technology, electric vehicles have demonstrated remarkable flexibility and adaptability. In specific scenarios, such as when the power grid faces significant peak-valley load differences or critical moments requiring emergency backup power, electric vehicles can respond rapidly by feeding the energy stored in their batteries back into the grid. This power transmission technology offers significant advantages, greatly improving the stability and reliability of the power grid when facing complex and fluctuating electricity demands, ensuring its smooth operation. It also effectively reduces over-reliance on traditional power generation methods, making a positive contribution to environmental protection and energy structure optimization. This energy feeding back into the grid not only benefits the overall stable operation of the grid but also provides electric vehicle owners with an additional source of income. This power transmission technology plays a crucial role in promoting the construction and development of smart grids, helping to achieve efficient energy utilization. Therefore, energy feeding back into the grid has become a vital development direction in the new energy vehicle sector. Summary of the Invention

[0004] The main objective of this application is to provide a comprehensive management system and power grid for the demand side of the power grid, so as to at least solve the problem of power shortage during peak hours in the prior art.

[0005] To achieve the above objectives, according to one aspect of this application, a comprehensive management system for the demand side of a power grid is provided. The comprehensive management system includes a power grid load management system, a power transmission control system, and a charging pile control system. The power grid load management system receives a first peak power generation from a power plant and determines a power deficit value based on the first peak power generation and historical electricity consumption data. It then determines an energy allocation index based on the power deficit value and sends it to the charging pile control system. The historical electricity consumption data includes historical peak load, historical weather data, and data upload time. The power transmission control system sends a transmission request to a first target electric vehicle, generates a transmission list in response to target feedback, and sends it to the charging pile control system. The first target electric vehicle is an electric vehicle whose current state of charge is greater than a first threshold. The transmission request initiates energy recovery for the first target electric vehicle, and the target feedback indicates that the transmission request has been approved. The transmission list includes all the first target electric vehicles corresponding to the target feedback. The charging pile control system determines the transmission power and the number of charging piles deployed based on the transmission list, and determines the charging power of each charging pile based on the transmission power, the number of charging piles deployed, and the energy allocation index.

[0006] Optionally, the power grid load management system includes a data acquisition module, a load forecasting module, and a gap calculation module. The data acquisition module is used to acquire the historical peak load, historical weather data, and data upload time within a first preset time period to obtain the historical electricity consumption data. The load forecasting module is used to calculate the predicted peak load based on the historical weather data, the data upload time, and the historical peak load. The gap calculation module is used to calculate the difference between the predicted peak load and the first peak power generation to obtain the gap power value, and to calculate the power allocation index based on the gap power value, the predicted peak load, and the historical power allocation index.

[0007] Optionally, the energy recovery control system includes a target screening module, a wireless communication module, and a list generation module. The target screening module monitors the state of charge (SOC) of the second target electric vehicles, marks second target electric vehicles with an SOC greater than a first threshold as first target electric vehicles, and sends this information to the wireless communication module. The wireless communication module sends the recovery request to each first target electric vehicle and receives feedback from each target and sends it to the list generation module. The list generation module generates the recovery list based on the target feedback and the recovery time corresponding to the target feedback, where the recovery time includes the start and end times of energy recovery for each first target electric vehicle.

[0008] Optionally, the charging pile control system includes a recovered energy calculation module, a charging power calculation module, and a charging pile planning module. The charging pile planning module determines the number of return charging piles and the total number of charging piles based on the return list, determines the number of charging piles to be deployed based on the number of return charging piles and the total number of charging piles, and sends the number of deployed charging piles to the recovered energy calculation module and the charging power calculation module. The recovered energy calculation module calculates the returned energy based on the returned power, the number of return charging piles, and the returned time, and sends the returned energy to the charging power calculation module. The charging power calculation module calculates the charging power based on the energy allocation index, the returned energy, and the number of deployed charging piles.

[0009] Optionally, calculating the predicted peak load based on the historical weather data, the data upload time, and the historical peak load includes: querying a first mapping relationship based on the historical weather data to obtain a weather coefficient, wherein the first mapping relationship is a mapping relationship between different weather conditions and a first preset coefficient; querying a second mapping relationship based on the preset time period to which the data upload time belongs to obtain a time coefficient, wherein the second mapping relationship is a mapping relationship between different preset time periods and a second preset coefficient; obtaining the economic growth rate; and calculating the product of the historical peak load, the weather coefficient, the time coefficient, and the economic growth rate to obtain the predicted peak load.

[0010] Optionally, the power allocation index is calculated based on the shortfall power value, the predicted peak load, and the historical power allocation index, including calculating the ratio of the shortfall power value to the predicted peak load to obtain a first ratio, calculating the difference between a preset value and the first ratio to obtain a first target value, and calculating the product of the first target value and the historical power allocation index to obtain the power allocation index.

[0011] Optionally, the charging pile planning module is used to determine the number of feedback charging piles and the number of charging piles according to the feedback list, including determining the number of first target electric vehicles based on the feedback list, and determining the number of feedback charging piles based on the number of first target electric vehicles, wherein the number of feedback charging piles is greater than or equal to the number of first target electric vehicles; determining the load occupied by the first target electric vehicles for charging based on the number of first target electric vehicles to obtain a first target load; calculating the difference between the power allocation index and the first target load to obtain a second target load; determining the number of third target electric vehicles based on the second target load, and determining the number of third target electric vehicles as the number of charging piles, wherein the number of third target electric vehicles is the number of electric vehicles that the second target load can supply for charging.

[0012] Optionally, the back-transmission power is calculated based on the back-transmission power, the number of back-transmission charging piles, and the back-transmission time, including calculating the back-transmission power by multiplying the back-transmission power, the number of back-transmission charging piles, and the back-transmission time.

[0013] Optionally, the charging power is calculated based on the power allocation index, the power return, and the number of charging piles deployed, including calculating the sum of the power allocation index and the power return to obtain the target power; obtaining the expected charging time; calculating the product of the expected charging time and the number of charging piles to obtain a second target value; and calculating the ratio of the target power to the second target value to obtain the charging power.

[0014] According to another aspect of this application, an electrical grid is provided, comprising implementing any of the systems described herein.

[0015] Applying the technical solution of this application, the aforementioned integrated management system for the demand side of the power grid includes a power grid load management system, a power transmission control system, and a charging pile control system. The power grid load management system receives the first peak power generation from the power plant and determines the power deficit value based on the first peak power generation and historical electricity consumption data. It then determines an energy allocation index based on the power deficit value and sends it to the charging pile control system. The historical electricity consumption data includes historical peak load, historical weather data, and data upload time. The power transmission control system sends a transmission request to a first target electric vehicle, generates a transmission list in response to target feedback, and sends it to the charging pile control system. The first target electric vehicle is an electric vehicle whose current state of charge is greater than a first threshold. The transmission request initiates energy recovery for the first target electric vehicle, and the target feedback indicates that the transmission request has been approved. The transmission list includes all the first target electric vehicles corresponding to the target feedback. The charging pile control system determines the transmission power and the number of charging piles deployed based on the transmission list, and determines the charging power based on the transmission power, the number of charging piles deployed, and the energy allocation index. This application proposes a comprehensive demand-side management system that predicts future electricity load on the power grid by acquiring power generation data and historical electricity consumption data from power plants. It further determines the power shortage based on the power generation data and electricity load, pushes energy recovery requests to electric vehicle users to correct the power shortage, allocates power based on the corrected power supply, and limits the charging power of charging piles based on the allocated power supply. This system solves the problem of power shortage during peak electricity consumption periods in existing technologies through energy recovery and power limiting. Attached Figure Description

[0016] Figure 1 A structural block diagram of an integrated management system for the demand side of a power grid, according to an embodiment of this application, is shown.

[0017] Figure 2 A structural block diagram of a power grid load management system provided according to an embodiment of this application is shown.

[0018] Figure 3 A structural block diagram of a power feedback control system provided according to an embodiment of this application is shown.

[0019] Figure 4 A structural block diagram of a charging pile control system provided according to an embodiment of this application is shown. Detailed Implementation

[0020] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. This application will now be described in detail with reference to the accompanying drawings and embodiments.

[0021] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.

[0022] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate for the embodiments of this application described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0023] As described in the background section, the existing technology lacks effective management of the power grid fed back by new energy vehicles. At the same time, as the demand side of the power grid during peak electricity consumption periods, charging stations are currently unable to dynamically adjust the output of their charging piles to adapt to the electricity demand during peak hours. In order to solve the problem of power shortage during peak electricity consumption periods, the embodiments of this application provide a comprehensive management system for the power grid demand side and a power grid.

[0024] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.

[0025] Figure 1This is a schematic diagram of the structure of a comprehensive management system for the demand side of a power grid according to an embodiment of this application. Figure 1 As shown, the system includes: a power grid load management system, a power transmission control system, and a charging pile control system, wherein:

[0026] The aforementioned power grid load management system is used to receive the first peak power generation of the power plant, and determine the shortfall power value based on the first peak power generation and historical power consumption data. Based on the shortfall power value, it determines the power allocation index and sends it to the aforementioned charging pile control system. The aforementioned historical power consumption data includes historical peak load, historical weather data and data upload time.

[0027] Specifically, the aforementioned power grid load management system receives power generation data from power plants during the peak electricity consumption period of the day. This power generation data during the peak electricity consumption period is used as the first peak power generation. Based on the first peak power generation data and the historical electricity consumption data, the gap power value is calculated through the gap calculation module. This gap power value serves as a calculation basis for the power allocation index.

[0028] The aforementioned energy recovery control system is used to send a recovery request to the first target electric vehicle, generate a recovery list in response to target feedback and send it to the aforementioned charging pile control system. The first target electric vehicle is an electric vehicle whose current state of charge is greater than a first threshold. The recovery request is used to initiate energy recovery to the first target electric vehicle. The target feedback is used to indicate that the recovery request has been approved. The recovery list includes all the first target electric vehicles corresponding to the aforementioned target feedback.

[0029] Specifically, the aforementioned power feedback control system analyzes the current state of charge of the electric vehicle, sends a power feedback request to the first target electric vehicle whose current state of charge meets the power feedback threshold, and invites the first target electric vehicle to perform power feedback. After receiving the feedback from the target, the system indicates that the feedback request has been approved, generates a feedback list corresponding to the first target electric vehicle, and sends it to the charging pile control system.

[0030] The aforementioned charging pile control system is used to determine the power transmission volume and the number of charging piles deployed based on the aforementioned power transmission list, and to determine the charging power of each charging pile based on the power transmission volume, the number of charging piles deployed, and the aforementioned power allocation indicators.

[0031] Specifically, the aforementioned charging pile control system determines the amount of electricity to be fed back to the power grid by statistically analyzing the target feedback received by the system during peak electricity consumption periods, i.e., the feedback list. It then calculates the number of charging piles used for charging by statistically analyzing the number of charging piles used for feedback during peak electricity consumption periods.

[0032] Applying the technical solution of this application, the aforementioned integrated management system for the demand side of the power grid includes a power grid load management system, a power transmission control system, and a charging pile control system. The power grid load management system receives the first peak power generation from the power plant and determines the power deficit value based on the first peak power generation and historical electricity consumption data. It then determines an energy allocation index based on the power deficit value and sends it to the charging pile control system. The historical electricity consumption data includes historical peak load, historical weather data, and data upload time. The power transmission control system sends a transmission request to a first target electric vehicle, generates a transmission list in response to target feedback, and sends it to the charging pile control system. The first target electric vehicle is an electric vehicle whose current state of charge is greater than a first threshold. The transmission request initiates energy recovery for the first target electric vehicle, and the target feedback indicates that the transmission request has been approved. The transmission list includes all the first target electric vehicles corresponding to the target feedback. The charging pile control system determines the transmission power and the number of charging piles deployed based on the transmission list, and determines the charging power based on the transmission power, the number of charging piles deployed, and the energy allocation index. This application proposes a comprehensive demand-side management system that predicts future electricity load on the power grid by acquiring power generation data and historical electricity consumption data from power plants. It further determines the power shortage based on the power generation data and electricity load, pushes energy recovery requests to electric vehicle users to correct the power shortage, allocates power based on the corrected power supply, and limits the charging power of charging piles based on the allocated power supply. This system solves the problem of power shortage during peak electricity consumption periods in existing technologies through energy recovery and power limiting.

[0033] In one embodiment of this application, such as Figure 2 As shown, the aforementioned power grid load management system includes a data acquisition module, a load forecasting module, and a vacancy calculation module, wherein:

[0034] The aforementioned data acquisition module is used to collect the aforementioned historical peak load, historical weather data, and the aforementioned data upload time within the first preset time period to obtain the aforementioned historical electricity consumption data;

[0035] Specifically, the aforementioned data acquisition module collects historical peak load data and historical weather data such as temperature from the power system during peak electricity consumption periods, and records the upload time of the aforementioned data, using this data as historical electricity consumption data.

[0036] The load forecasting module described above is used to calculate and forecast peak load based on the historical weather data, the data upload time, and the historical peak load.

[0037] Specifically, based on the historical electricity consumption data collected by the aforementioned data acquisition module, the load value during the peak period of the day is predicted. The specific prediction calculation method is as follows: Load value = Historical peak load * Weather coefficient * Time coefficient * Economic growth rate. The time coefficient is set as follows: when the day is a holiday, the time coefficient is 2; when the day is not a holiday, the time coefficient is 1. The weather coefficient is set as follows: when the temperature is below 5℃ or above 28℃, the weather coefficient is 1.5; when the temperature is between 5℃ and 28℃, the weather coefficient is 1.

[0038] The aforementioned gap calculation module is used to calculate the difference between the aforementioned predicted peak load and the aforementioned first peak power generation to obtain the aforementioned gap power value, and to calculate the aforementioned power allocation index based on the aforementioned gap power value, the aforementioned predicted peak load and historical power allocation index.

[0039] Specifically, the gap calculation module is used to calculate the difference between the peak load predicted by the system and the power generation data of the power plant during the peak power consumption period of the day, to obtain the current power load gap value of the power grid, and to calculate the power allocation index.

[0040] In one embodiment of this application, such as Figure 3 As shown, the aforementioned power return control system includes a target screening module, a wireless communication module, and an inventory generation module, wherein:

[0041] The target screening module is used to monitor the charge state of the second target electric vehicle, mark the second target electric vehicle whose charge state is greater than the first threshold as the first target electric vehicle, and send it to the wireless communication module.

[0042] Specifically, the target screening module monitors the second target electric vehicle whose charge state is less than the first threshold, where the first threshold is that the electric vehicle's charge is greater than 80%. Once the charge state of the second target electric vehicle is greater than the first threshold, it is marked as the first target electric vehicle, and its information is sent to the wireless communication module.

[0043] The aforementioned wireless communication module is used to send the aforementioned feedback request to each of the aforementioned first target electric vehicles and to receive feedback from each of the aforementioned targets and send it to the aforementioned list generation module;

[0044] Specifically, the wireless communication module sends a feedback request to the first target electric vehicle whose charge state meets the first threshold, inviting the electric vehicle that meets the charge state requirements for energy feedback to feed back electricity to the grid. At the same time, it receives feedback from each of the targets, confirms the electric vehicle that can perform energy recovery, and sends its energy feedback and reservation information to the list generation module.

[0045] The aforementioned list generation module is used to generate the aforementioned feedback list based on the aforementioned target feedback and the corresponding feedback time. The aforementioned feedback time includes the start time and end time of the aforementioned first target electric vehicle energy recovery.

[0046] Specifically, a power transmission list is generated based on the target feedback from the first target electric vehicle that allows power transmission and the corresponding power transmission start and end times.

[0047] In one embodiment of this application, such as Figure 4 As shown, the above-mentioned charging pile control system includes a recovered energy calculation module, a charging power calculation module, and a charging pile planning module, wherein:

[0048] The aforementioned charging pile planning module is used to determine the number of return charging piles and the number of charging piles based on the aforementioned return list, determine the number of charging piles to be deployed based on the aforementioned number of return charging piles and the aforementioned number of charging piles, and send the aforementioned number of charging piles to the aforementioned energy recovery calculation module and the aforementioned charging power calculation module.

[0049] Specifically, the number of charging piles and the number of charging stations are determined based on the energy feedback information from the first target electric vehicle and the start and end times of energy recovery. Based on this, the number of charging stations to be deployed is calculated, and the information on the number of deployed charging stations, as well as the charging and discharging power and charging and discharging time of the charging stations, are sent to the above-mentioned energy recovery calculation module and the above-mentioned charging power calculation module.

[0050] The aforementioned energy recovery calculation module is used to calculate the amount of electricity recovered based on the power recovery, the number of charging piles, and the recovery time, and then send the amount of electricity recovered to the charging power calculation module.

[0051] Specifically, the amount of electricity fed back is calculated based on the power of electricity fed back to the first target electric vehicle during the peak electricity consumption period, the number of charging piles available for electricity fed back, and the electricity fed back time. The specific calculation method is as follows: Electricity fed back = Power fed back * Number of charging piles for electricity fed back * Peak electricity consumption duration, where the peak electricity consumption duration is 3 hours.

[0052] The aforementioned charging power calculation module is used to calculate the aforementioned charging power based on the aforementioned power allocation indicators, the aforementioned power transmission capacity, and the aforementioned number of charging piles deployed.

[0053] Specifically, the above charging power calculation method is as follows: Charging power = (Electricity allocation index + Power transmission) / Peak electricity consumption duration / Number of charging piles deployed, where the peak electricity consumption duration is 3 hours.

[0054] In one embodiment of this application, calculating the predicted peak load based on the aforementioned historical weather data, the aforementioned data upload time, and the aforementioned historical peak load includes:

[0055] Based on the above historical weather data, the first mapping relationship is queried to obtain the weather coefficient. The above first mapping relationship is the mapping relationship between different weather conditions and the first preset coefficient.

[0056] Specifically, the above historical weather data are used to obtain the weather coefficient based on the temperature mapping relationship. The specific mapping relationship is as follows: when the temperature is below 5℃ or above 28℃, the weather coefficient is 1.5, and when the temperature is between 5℃ and 28℃, the weather coefficient is 1.

[0057] Based on the preset time period to which the above data upload time belongs, the second mapping relationship is queried to obtain the time coefficient. The above second mapping relationship is the mapping relationship between different preset time periods and the second preset coefficient.

[0058] Specifically, the time coefficient is obtained based on whether the data upload time falls on a holiday. The specific mapping relationship is as follows: when the data upload day is a holiday, the time coefficient is 2, and when it is not a holiday, the time coefficient is 1.

[0059] The economic growth rate is obtained, and the product of the above-mentioned historical peak load, the above-mentioned weather coefficient, the above-mentioned time coefficient, and the above-mentioned economic growth rate is calculated to obtain the above-mentioned predicted peak load.

[0060] Specifically, the above-mentioned predicted peak load is calculated as follows: Load value = Historical peak load * Weather coefficient * Time coefficient * Economic growth rate.

[0061] In one embodiment of this application, the calculation of the power allocation index based on the aforementioned power shortage value, the aforementioned predicted peak load, and historical power allocation index includes:

[0062] The first ratio is obtained by calculating the ratio of the above-mentioned shortfall power value to the above-mentioned predicted peak load, and the first target value is obtained by calculating the difference between the preset value and the above-mentioned first ratio.

[0063] Specifically, the power shortage value during the peak power consumption period in the power grid is determined based on the first peak power generation of the power plant and historical power consumption data. The ratio of the power shortage value to the predicted peak load calculated in the load prediction module based on historical weather, data upload time, and historical peak load is used to obtain a first ratio. The difference between the preset value and the first ratio is used to obtain a first target value.

[0064] The above-mentioned power allocation index is obtained by multiplying the first target value mentioned above with the historical power allocation index mentioned above.

[0065] Specifically, based on the difference between the predicted peak load and the first peak power generation, the above-mentioned shortfall power value is obtained. Based on the shortfall power value and the historical power allocation index when the power grid system is operating normally, the current power allocation index is determined and sent to the charging pile control system. Power allocation index = first target value * historical power allocation index.

[0066] In one embodiment of this application, the charging pile planning module is used to determine the number of feedback charging piles and the total number of charging piles based on the feedback list, including:

[0067] The number of first target electric vehicles is determined based on the above-mentioned feedback list, and the number of feedback charging piles is determined based on the number of first target electric vehicles, wherein the number of feedback charging piles is greater than or equal to the number of first target electric vehicles.

[0068] Specifically, the charging pile planning module determines the number of charging piles available for use during peak electricity consumption periods based on the number of first target electric vehicles available for energy return in the aforementioned energy return list. To ensure that energy can be recovered as much as possible during peak electricity consumption periods, the number of charging piles should be greater than or equal to the number of first target electric vehicles.

[0069] Based on the number of the first target electric vehicles, the load occupied by the charging of the first target electric vehicles is determined to obtain the first target load;

[0070] Specifically, the amount of electricity that the first target electric vehicles can feed back to the power grid system is determined based on the number of first target electric vehicles available for power transmission during peak electricity consumption periods and the amount of electricity fed back, thus obtaining the first target load.

[0071] The difference between the above-mentioned power allocation index and the above-mentioned first target load is calculated to obtain the second target load. The number of third target electric vehicles is determined based on the above-mentioned second target load, and the number of the above-mentioned third target electric vehicles is determined as the number of charging piles. The number of the above-mentioned third target electric vehicles is the number of electric vehicles that can be supplied for charging by the above-mentioned second target load.

[0072] Specifically, based on the power allocation index determined by the power shortage value during peak electricity consumption periods and the power load difference between the first target electric vehicle and the power load of the first target electric vehicle transmitting power back to the grid, the power shortage load during peak electricity consumption periods is subtracted from the power load of the first target electric vehicle transmitting power back to the grid, which is the grid load that needs to be charged using the grid system. The second target load is obtained. Based on the second target load, the number of electric vehicles that the grid system can supply for charging can be calculated, which is the third target electric vehicle.

[0073] In one embodiment of this application, calculating the returned power based on the returned power, the number of returned charging piles, and the returned time includes:

[0074] The above-mentioned power return, the above-mentioned number of charging piles, and the above-mentioned power return time are multiplied to obtain the above-mentioned power return amount.

[0075] Specifically, the above-mentioned power transmission is calculated as follows: Power transmission = Power transmission * Number of charging piles * Peak power consumption duration, where the peak power consumption duration is 3 hours.

[0076] In one embodiment of this application, calculating the charging power based on the aforementioned power allocation index, the aforementioned power transmission capacity, and the aforementioned number of charging piles includes:

[0077] The target electrical energy is obtained by summing the above-mentioned power allocation index and the above-mentioned power transmission amount;

[0078] Specifically, the aforementioned power allocation index and the aforementioned power transmission volume are the power that can be used to alleviate the power shortage during peak power consumption periods. Target power = power allocation index + power transmission volume.

[0079] Obtain the estimated charging time, and calculate the product of the estimated charging time and the number of charging piles to obtain the second target value;

[0080] Specifically, the estimated charging time for electric vehicles during peak electricity consumption periods is obtained, and a second target value is calculated based on the product of the number of charging piles determined in the charging pile planning module and the charging time for electric vehicles. The second target value = estimated charging time * number of charging piles.

[0081] The charging power is obtained by calculating the ratio of the target electrical energy to the second target value.

[0082] Specifically, the charging power is obtained by calculating the ratio of the electrical energy obtained from the above-mentioned power allocation index and the above-mentioned power return to the above-mentioned second target value. Charging power = target electrical energy / second target value.

[0083] This invention provides a power grid, including a system that performs any one of the above-described adjustable load resource aggregation service systems.

[0084] Specifically, an adjustable load resource aggregation service system includes: a power grid load management system, a power transmission control system, and a charging pile control system, wherein:

[0085] The aforementioned power grid load management system is used to receive the first peak power generation of the power plant, and determine the shortfall power value based on the first peak power generation and historical power consumption data. Based on the shortfall power value, it determines the power allocation index and sends it to the aforementioned charging pile control system. The aforementioned historical power consumption data includes historical peak load, historical weather data and data upload time.

[0086] Specifically, the aforementioned power grid load management system receives power generation data from power plants during the peak electricity consumption period of the day. This power generation data during the peak electricity consumption period is used as the first peak power generation. Based on the first peak power generation data and the historical electricity consumption data, the gap power value is calculated through the gap calculation module. This gap power value serves as a calculation basis for the power allocation index.

[0087] The aforementioned energy recovery control system is used to send a recovery request to the first target electric vehicle, generate a recovery list in response to target feedback and send it to the aforementioned charging pile control system. The first target electric vehicle is an electric vehicle whose current state of charge is greater than a first threshold. The recovery request is used to initiate energy recovery to the first target electric vehicle. The target feedback is used to indicate that the recovery request has been approved. The recovery list includes all the first target electric vehicles corresponding to the aforementioned target feedback.

[0088] Specifically, the aforementioned power feedback control system analyzes the current state of charge of the electric vehicle, sends a power feedback request to the first target electric vehicle whose current state of charge meets the power feedback threshold, and invites the first target electric vehicle to perform power feedback. After receiving the feedback from the target, the system indicates that the feedback request has been approved, generates a feedback list corresponding to the first target electric vehicle, and sends it to the charging pile control system.

[0089] The aforementioned charging pile control system is used to determine the power transmission volume and the number of charging piles deployed based on the aforementioned power transmission list, and to determine the charging power based on the power transmission volume, the number of charging piles deployed, and the aforementioned power allocation indicators.

[0090] Specifically, the aforementioned charging pile control system determines the amount of electricity to be fed back to the power grid by statistically analyzing the target feedback received by the system during peak electricity consumption periods, i.e., the feedback list. It then calculates the number of charging piles used for charging by statistically analyzing the number of charging piles used for feedback during peak electricity consumption periods.

[0091] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0092] As can be seen from the above description, the embodiments of this application achieve the following technical effects:

[0093] This application discloses a comprehensive management system for the demand side of a power grid. The system includes a power grid load management system, a power transmission control system, and a charging pile control system. The power grid load management system receives the first peak power generation from a power plant and determines a power deficit value based on the first peak power generation and historical electricity consumption data. It then determines an energy allocation index based on the deficit value and sends it to the charging pile control system. The historical electricity consumption data includes historical peak load, historical weather data, and data upload time. The power transmission control system sends a transmission request to a first target electric vehicle, generates a transmission list in response to target feedback, and sends it to the charging pile control system. The first target electric vehicle is an electric vehicle whose current state of charge is greater than a first threshold. The transmission request initiates energy recovery for the first target electric vehicle, and the target feedback indicates that the transmission request has been approved. The transmission list includes all the first target electric vehicles corresponding to the target feedback. The charging pile control system determines the transmission power and the number of charging piles deployed based on the transmission list, and determines the charging power based on the transmission power, the number of charging piles deployed, and the energy allocation index. This application proposes a comprehensive demand-side management system that predicts future electricity load on the power grid by acquiring power generation data and historical electricity consumption data from power plants. It further determines the power shortage based on the power generation data and electricity load, pushes energy recovery requests to electric vehicle users to correct the power shortage, allocates power based on the corrected power supply, and limits the charging power of charging piles based on the allocated power supply. This system solves the problem of power shortage during peak electricity consumption periods in existing technologies through energy recovery and power limiting.

[0094] The above description is merely a preferred embodiment of this application and is not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A comprehensive management system for the demand side of a power grid, characterized in that, The integrated management system includes a power grid load management system, a power transmission control system, and a charging pile control system, wherein: The power grid load management system is used to receive the first peak power generation of the power plant, determine the power shortage value based on the first peak power generation and historical power consumption data, determine the power allocation index based on the power shortage value and send it to the charging pile control system. The historical power consumption data includes historical peak load, historical weather data and data upload time. The energy recovery control system is used to send a recovery request to a first target electric vehicle, generate a recovery list in response to the target feedback sent by the first target electric vehicle, and send it to the charging pile control system. The first target electric vehicle is an electric vehicle whose current state of charge is greater than a first threshold. The recovery request is a request to initiate energy recovery to the first target electric vehicle. The target feedback is used to indicate that the first target electric vehicle allows the charging pile to perform energy recovery. The recovery list includes all the first target electric vehicles corresponding to the target feedback. The charging pile control system is used to determine the power transmission volume and the number of charging piles deployed according to the power transmission list, and to determine the charging power of each charging pile based on the power transmission volume, the number of charging piles deployed, and the power allocation index. The power grid load management system includes a data acquisition module, a load forecasting module, and a gap calculation module, wherein: the data acquisition module is used to collect the historical peak load, historical weather data, and data upload time within a first preset time period to obtain the historical electricity consumption data; the load forecasting module is used to calculate the predicted peak load based on the historical weather data, the data upload time, and the historical peak load; the gap calculation module is used to calculate the difference between the predicted peak load and the first peak power generation to obtain the gap power value, and calculate the power allocation index based on the gap power value, the predicted peak load, and historical power allocation indexes. The energy recovery control system includes a target screening module, a wireless communication module, and a list generation module. The target screening module monitors the state of charge (SOC) of the second target electric vehicles, marks second target electric vehicles with an SOC greater than a first threshold as first target electric vehicles, and sends this information to the wireless communication module. The wireless communication module sends recovery requests to each first target electric vehicle and receives feedback from each target and sends it to the list generation module. The list generation module generates a recovery list based on the target feedback and the corresponding recovery time, where the recovery time includes the start and end times of energy recovery for each first target electric vehicle. The charging pile control system includes a recovered energy calculation module, a charging power calculation module, and a charging pile planning module. The charging pile planning module is used to determine the number of return charging piles and the number of charging piles based on the return list, including: determining the number of first target electric vehicles based on the return list, and determining the number of return charging piles based on the number of first target electric vehicles, wherein the number of return charging piles is greater than or equal to the number of first target electric vehicles; determining the load occupied by the first target electric vehicles for charging based on the number of first target electric vehicles to obtain a first target load; calculating the difference between the energy allocation index and the first target load to obtain a second target load; determining the number of third target electric vehicles based on the second target load, and determining the number of third target electric vehicles as the number of charging piles, wherein the number of third target electric vehicles is the number of electric vehicles that the second target load can supply for charging.

2. The system according to claim 1, characterized in that, The charging pile planning module is used to determine the number of return charging piles and the number of charging piles according to the return list, determine the number of charging piles to be deployed according to the number of return charging piles and the number of charging piles, and send the number of charging piles to be deployed to the recovered energy calculation module and the charging power calculation module. The recovered energy calculation module is used to calculate the recovered power based on the power, the number of the charging piles, and the time, and send the recovered power to the charging power calculation module. The charging power calculation module is used to calculate the charging power based on the power allocation index, the power transmission capacity, and the number of charging piles deployed.

3. The system according to claim 1, characterized in that, Calculating the predicted peak load based on the historical weather data, the data upload time, and the historical peak load includes: Based on the historical weather data, a first mapping relationship is queried to obtain the weather coefficient. The first mapping relationship is the mapping relationship between different weather conditions and a first preset coefficient. The second mapping relationship is queried according to the preset time period to which the data upload time belongs, and the time coefficient is obtained. The second mapping relationship is the mapping relationship between different preset time periods and the second preset coefficient. The predicted peak load is obtained by multiplying the historical peak load, the weather coefficient, the time coefficient, and the economic growth rate.

4. The system according to claim 1, characterized in that, The power allocation index is calculated based on the shortfall power value, the predicted peak load, and historical power allocation indices, including: The ratio of the shortfall power value to the predicted peak load is calculated to obtain a first ratio, and the difference between the preset value and the first ratio is calculated to obtain a first target value; The power allocation index is obtained by multiplying the first target value by the historical power allocation index.

5. The system according to claim 2, characterized in that, The back-transmission power is calculated based on the back-transmission power, the number of back-transmission charging piles, and the back-transmission time, including: The returned power is obtained by multiplying the returned power, the number of returned charging piles, and the returned time.

6. The system according to claim 2, characterized in that, The charging power is calculated based on the power allocation index, the power transmission capacity, and the number of charging piles deployed, including: The target electrical energy is obtained by summing the power allocation index and the power transmission amount. Obtain the estimated charging time, and calculate the second target value by multiplying the estimated charging time by the number of charging piles; The charging power is obtained by calculating the ratio of the target electrical energy to the second target value.

7. A power grid, characterized in that, Includes the system described in any one of claims 1 to 6.

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