Comprehensive management system of power grid demand side and power grid

Abstract

The invention provides a comprehensive management system of a power grid demand side and a power grid, the comprehensive management system comprises a power grid load management system, an electric energy feedback control system and a charging pile control system, the power grid load management system receives a first peak generating capacity of a power plant, determines a gap electric quantity value according to the first peak generating capacity and historical power utilization data, and sends the gap electric quantity value to the charging pile control system; determining an electric energy distribution index based on the gap electric quantity value and sending the index to a charging pile control system; the electric energy feedback control system sends a feedback request to the first target electric vehicle, the feedback request is used for initiating electric energy recovery to the first target electric vehicle, the target feedback is used for representing that the feedback request passes, and the feedback list comprises the first target electric vehicle corresponding to all the target feedback; and the charging pile control system is used for determining the feedback electric quantity and the charging pile release number according to the feedback list, and determining the charging power based on the feedback electric quantity, the charging pile release number and the electric energy distribution index, thereby solving the problem of power shortage in the peak period of power utilization in the prior art.

Description

Technical Field

[0001] The present invention relates to the technical field of integrated power grid management, and in particular to an integrated management system on the demand side of a power grid and a power grid. Background Art

[0002] At present, the electric energy of new energy vehicles is fed back to the grid, which means that electric vehicles can efficiently feed the electric energy stored in the battery back to the grid with the help of specific equipment, thus playing an important role in the management of the grid and balancing the power demand during peak hours. This highly innovative and practical technology is called vehicle-to-grid (V2G) technology.

[0003] Through V2G technology, electric vehicles have demonstrated strong flexibility and adaptability. In certain scenarios, such as when the power grid faces a significant difference in peak and valley loads, or when emergency backup power is needed, electric vehicles can respond quickly and transfer the power stored in the battery back to the grid. This power transmission technology has significant advantages. When the power grid faces complex and changing power demands, it can greatly improve the stability and reliability of the power grid, enabling it to maintain smooth operation. At the same time, it also effectively reduces excessive reliance on traditional power generation methods and makes positive contributions to environmental protection and energy structure optimization. The move of transferring power back to the grid not only has many benefits for the overall smooth operation of the power grid, but also opens up an additional source of income for electric vehicle owners. This power transmission technology has played an important role in promoting the construction and development of smart grids and helping to achieve efficient use of energy. Therefore, transferring power back to the grid has become a vital development direction in the field of new energy vehicles. Summary of the invention

[0004] The main purpose of the present application is to provide an integrated management system and a power grid on the demand side of a power grid, so as to at least solve the problem of power shortage during peak hours in the prior art.

[0005] In order to achieve the above-mentioned purpose, according to one aspect of the present application, a comprehensive management system for the demand side of a power grid is provided, the comprehensive management system comprising a power grid load management system, a power feedback control system and a charging pile control system, wherein the power grid load management system is used to receive a first peak power generation of a power plant, and determine a gap power value according to the first peak power generation and historical power consumption data, determine a power allocation index based on the gap power value and send it to the charging pile control system, the historical power consumption data comprises historical peak load, historical weather data and data upload time; the power feedback control system is used to send a feedback request to a first target electric vehicle, generate a feedback list in response to target feedback 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 feedback request is used to initiate power recovery to the first target electric vehicle, the target feedback is used to indicate that the feedback request is passed, and the feedback list includes all the first target electric vehicles corresponding to the target feedback; the charging pile control system is used to determine the feedback power and the number of charging piles according to the feedback list, and determine the charging power of each charging pile based on the feedback power, the number of charging piles and the power allocation index.

[0006] Optionally, 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 the 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 electricity value, and calculate the power distribution index based on the gap electricity value, the predicted peak load and the historical power distribution index.

[0007] Optionally, the electric energy recycling control system includes a target screening module, a wireless communication module and a list generation module, wherein the target screening module is used to monitor the charge state of the second target electric vehicle, mark the second target electric vehicle corresponding to the charge state greater than the first threshold as the first target electric vehicle and send it to the wireless communication module; the wireless communication module is used to send the recycling request to each of the first target electric vehicles and receive each of the target feedbacks and send it to the list generation module; the list generation module is used to generate the recycling list according to the target feedback and the recycling time corresponding to the target feedback, and the recycling time includes the start time and end time of the electric energy recovery of each of the first target electric vehicles.

[0008] Optionally, the charging pile control system includes a recovered electric energy calculation module, a charging power calculation module and a charging pile planning module, wherein the charging pile planning module is used to determine the number of recycling charging piles and the number of charging piles according to the recycling list, determine the number of charging piles to be deployed according to the number of recycling charging piles and the number of charging piles, and send the number of charging piles to the recovered electric energy calculation module and the charging power calculation module; the recovered electric energy calculation module is used to calculate the recycled power according to the recycling power, the number of recycling charging piles and the recycling time, and send the recycled power to the charging power calculation module; the charging power calculation module is used to calculate the charging power according to the electric energy distribution index, the recycled power and the number of charging piles deployed.

[0009] Optionally, the predicted peak load is calculated based on the historical weather data, the data upload time and the historical peak load, including: querying a first mapping relationship based on the historical weather data to obtain a weather coefficient, the first mapping relationship being a mapping relationship between different weather and a first preset coefficient; querying a second mapping relationship based on a preset time period to which the data upload time belongs to obtain a time coefficient, the second mapping relationship being 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 electric energy distribution index is calculated based on the power gap value, the predicted peak load and the historical power distribution index, including calculating the ratio of the power gap 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 distribution index to obtain the electric energy distribution 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 according to the number of the first target electric vehicles, the number of feedback charging piles is greater than or equal to the number of the first target electric vehicles; determining the load occupied by the first target electric vehicle for charging based on the number of the first target electric vehicles to obtain a first target load; calculating the difference between the electric energy distribution index and the first target load to obtain a second target load, determining the number of third target electric vehicles according to the second target load, and determining the number of the third target electric vehicles as the number of charging piles, the number of the third target electric vehicles is the number of electric vehicles that can be supplied by the second target load for charging.

[0012] Optionally, the amount of retransmission power is calculated according to the retransmission power, the number of the retransmission charging piles and the retransmission time, including calculating the product of the retransmission power, the number of the retransmission charging piles and the retransmission time to obtain the amount of retransmission power.

[0013] Optionally, the charging power is calculated according to the power allocation index, the returned power and the number of charging piles, including calculating the sum of the power allocation index and the returned power 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 the present application, a power grid is provided, comprising a system for executing any one of the above-described systems.

[0015] Applying the technical solution of the present application, the integrated management system on the demand side of the power grid includes a power grid load management system, a power feedback 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, and determine the gap power value according to the first peak power generation and historical power consumption data, determine the power allocation index based on the gap power 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 power feedback control system is used to send a feedback request to the first target electric vehicle, generate a feedback list in response to the target feedback 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 the first threshold, the feedback request is used to initiate power recovery to the first target electric vehicle, the target feedback is used to indicate that the feedback request is passed, and the feedback list includes all the first target electric vehicles corresponding to the target feedback; the charging pile control system is used to determine the feedback power and the number of charging piles according to the feedback list, and determine the charging power based on the feedback power, the number of charging piles and the power allocation index. The present application proposes an integrated management system for the demand side, which predicts the future power load on the demand side of the power grid by acquiring the power generation data and historical power consumption data of the power plant, further determines the power gap based on the power generation data and the power load, and pushes power recovery requests to electric vehicle users to correct the power gap based on the power gap, distributes the power based on the corrected power supply, and limits the charging power of the charging piles based on the allocated power supply. The system solves the problem of power shortage during peak power consumption periods in the prior art through power feedback and power limit. BRIEF DESCRIPTION OF THE DRAWINGS

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

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

[0018] Figure 3 A structural block diagram of an electric energy return control system provided according to an embodiment of the present application is shown.

[0019] Figure 4 A structural block diagram of a charging pile control system provided according to an embodiment of the present application is shown. DETAILED DESCRIPTION

[0020] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0021] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work 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 and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present application described here. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

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

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

[0025] Figure 1Schematic diagram of a comprehensive management system for power grid demand side according to an embodiment of the present application. Figure 1 As shown, the system includes: a power grid load management system, a power return control system and a charging pile control system, wherein:

[0026] The above-mentioned power grid load management system is used to receive the first peak power generation of the power plant, and determine the gap power value according to the above-mentioned first peak power generation and historical power consumption data, and determine the power allocation index based on the above-mentioned gap power value and send it to the above-mentioned charging pile control system, wherein the above-mentioned historical power consumption data includes historical peak load, historical weather data and data upload time;

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

[0028] The electric energy recycling control system is used to send a recycling request to the first target electric vehicle, generate a recycling list in response to the target feedback 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 recycling request is used to initiate electric energy recovery to the first target electric vehicle, the target feedback is used to indicate that the recycling request is passed, and the recycling list includes all the first target electric vehicles corresponding to the target feedback;

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

[0030] The charging pile control system is used to determine the amount of recycled electricity and the number of charging piles according to the recycled electricity list, and to determine the charging power of each charging pile based on the amount of recycled electricity, the number of charging piles and the electric energy distribution index.

[0031] Specifically, the charging pile control system determines the amount of power to be fed back to the power grid by counting the target feedback, i.e., the feedback list, received by the system during the peak power consumption period, and calculates the number of charging piles used for charging by counting the number of charging piles used to feed back power during the peak power consumption period.

[0032] Applying the technical solution of the present application, the integrated management system on the demand side of the power grid includes a power grid load management system, a power feedback 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, and determine the gap power value according to the first peak power generation and historical power consumption data, determine the power allocation index based on the gap power 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 power feedback control system is used to send a feedback request to the first target electric vehicle, generate a feedback list in response to the target feedback 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 the first threshold, the feedback request is used to initiate power recovery to the first target electric vehicle, the target feedback is used to indicate that the feedback request is passed, and the feedback list includes all the first target electric vehicles corresponding to the target feedback; the charging pile control system is used to determine the feedback power and the number of charging piles according to the feedback list, and determine the charging power based on the feedback power, the number of charging piles and the power allocation index. The present application proposes an integrated management system for the demand side, which predicts the future power load on the demand side of the power grid by acquiring the power generation data and historical power consumption data of the power plant, further determines the power gap based on the power generation data and the power load, and pushes power recovery requests to electric vehicle users to correct the power gap based on the power gap, distributes the power based on the corrected power supply, and limits the charging power of the charging piles based on the allocated power supply. The system solves the problem of power shortage during peak power consumption periods in the prior art through power feedback and power limit.

[0033] In one embodiment of the present application, Figure 2 As shown, the above-mentioned power grid load management system includes a data acquisition module, a load forecasting module and a vacancy calculation module, wherein:

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

[0035] Specifically, the data collection module collects historical peak load data and historical weather data such as temperature of the power system during the peak power consumption period of the power grid, and records the upload time of the data, and uses the data as historical power consumption data.

[0036] 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;

[0037] Specifically, the load value during the peak time of the day is predicted based on the historical electricity consumption data collected by the data collection module. The specific prediction calculation method is: load value = historical peak load * weather coefficient * time coefficient * economic growth rate, wherein the time coefficient is taken 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 taken as follows: when the temperature is below 5°C or above 28°C, the weather coefficient is 1.5; when the temperature is between 5°C and 28°C, the weather coefficient is 1.

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

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

[0040] In one embodiment of the present application, Figure 3 As shown, the above-mentioned power return control system includes a target screening module, a wireless communication module and a list 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 charge state of the electric vehicle is greater than 80%. After 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 wireless communication module is used to send the feedback request to each of the first target electric vehicles and receive feedback from each of the targets and send it to the 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, invites the electric vehicle that meets the charge state requirements for power feedback to feed back electricity to the power grid, and simultaneously receives feedback from each of the above targets, confirms the electric vehicles that can recover electric energy, and sends their power feedback and reservation information to the list generation module.

[0045] The list generation module is used to generate the recycling list according to the target feedback and the recycling time corresponding to the target feedback, wherein the recycling time includes the start time and end time of each of the first target electric vehicle electric energy recycling.

[0046] Specifically, a power transmission list is generated according to the target feedback of the first target electric vehicle that can perform power transmission and the corresponding power transmission start time and end time.

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

[0048] The charging pile planning module is used to determine the number of recycling charging piles and the number of charging piles according to the recycling list, determine the number of charging piles to be deployed according to the number of recycling charging piles and the number of charging piles, and send the number of charging piles to the recycled power calculation module and the charging power calculation module;

[0049] Specifically, the number of charging piles for recycling and the number of charging piles are determined based on the electric energy feedback information and the start and end time of electric energy recovery fed back by the first target electric vehicle, and the number of charging piles is calculated based on this. The information on the number of charging piles deployed and the charging and discharging power, charging and discharging time of the charging piles are sent to the electric energy recovery calculation module and the charging power calculation module.

[0050] The recovered electric energy calculation module is used to calculate the recycled electric energy according to the recycled power, the number of recycled charging piles and the recycled time, and send the recycled electric energy to the charging power calculation module;

[0051] Specifically, the feedback power is calculated based on the power feedback power of the first target electric vehicle during the peak power consumption period, the number of charging piles available for power feedback and the power feedback time. The specific calculation method is: feedback power = power feedback power * number of feedback charging piles * peak power consumption duration, where the peak power consumption duration is 3 hours.

[0052] The charging power calculation module is used to calculate the charging power according to the electric energy distribution index, the returned power and the number of charging piles.

[0053] Specifically, the above charging power calculation method is: charging power = (electric energy distribution index + returned electric energy) / peak power consumption duration / number of charging piles deployed, where the peak power consumption duration is 3 hours.

[0054] In one embodiment of the present application, the peak load forecasting is calculated based on the historical weather data, the data upload time and the historical peak load, including:

[0055] Querying a first mapping relationship according to the above historical weather data to obtain a weather coefficient, wherein the above first mapping relationship is a mapping relationship between different weather conditions and a first preset coefficient;

[0056] Specifically, the above historical weather data obtains the weather coefficient according to the temperature mapping relationship. The specific mapping relationship is: when the temperature is lower than 5°C or higher than 28°C, the weather coefficient is 1.5; when the temperature is between 5°C and 28°C, the weather coefficient is 1.

[0057] According to the preset time period to which the data upload time belongs, query the second mapping relationship to obtain a time coefficient, wherein the second mapping relationship is a mapping relationship between different preset time periods and the second preset coefficient;

[0058] Specifically, the time coefficient is obtained according to whether the data upload time is a holiday. The specific mapping relationship is: when the data upload day is a holiday, the time coefficient is 2; when it is not a holiday, the time coefficient is 1.

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

[0060] Specifically, the calculation method of the above-mentioned predicted peak load is: load value = historical peak load * weather coefficient * time coefficient * economic growth rate.

[0061] In one embodiment of the present application, the electric energy distribution index is calculated according to the electric energy gap value, the predicted peak load and the historical electric energy distribution index, including:

[0062] Calculate the ratio of the power shortage value to the predicted peak load to obtain a first ratio, and calculate the difference between the preset value and the first ratio to obtain a first target value;

[0063] Specifically, the above-mentioned gap electricity value in the peak electricity consumption time period in the power grid is determined based on the first peak power generation of the power plant and the historical electricity consumption data, the ratio of the above-mentioned gap electricity value to the predicted peak load calculated in the load forecasting module based on historical weather, data upload time and historical peak load is calculated to obtain a first ratio, and the difference between the preset value and the above-mentioned first ratio is calculated to obtain a first target value.

[0064] The electric energy allocation index is obtained by calculating the product of the first target value and the historical electric energy allocation index.

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

[0066] In one embodiment of the present application, 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, including:

[0067] Determine the number of first target electric vehicles based on the above-mentioned recycling list, and determine the number of the above-mentioned recycling charging piles according to the number of the above-mentioned first target electric vehicles, and the number of the above-mentioned recycling charging piles is greater than or equal to the number of the above-mentioned first target electric vehicles;

[0068] Specifically, the charging pile planning module determines the number of the above-mentioned recycling charging piles that can be used during the peak power consumption period based on the first target number of electric vehicles that can be used to recycle electric energy in the above-mentioned recycling list. In order to ensure that electric energy can be recovered as much as possible during the peak power consumption period, it should be ensured that the number of the above-mentioned recycling charging piles is greater than or equal to the number of the above-mentioned first target electric vehicles.

[0069] Determine the load occupied by the first target electric vehicles for charging based on the number of the first target electric vehicles to obtain a first target load;

[0070] Specifically, the electric energy that can be fed back to the power grid by the first target electric vehicles is determined according to the number of the first target electric vehicles that can be used to feed back electric energy during the peak power consumption period and the fed back electric energy, thereby obtaining the first target load.

[0071] The second target load is obtained by calculating the difference between the above-mentioned electric energy distribution index and the above-mentioned first target load, and the number of the third target electric vehicles is determined according to the above-mentioned second target load, and the number of the above-mentioned third target electric vehicles is determined as the number of the above-mentioned charging piles. The number of the above-mentioned third target electric vehicles is the number of electric vehicles that can be charged by the above-mentioned second target load.

[0072] Specifically, the difference between the above-mentioned power allocation index determined according to the power gap value during the peak power consumption period and the power load of the first target electric vehicle transmitting power back to the power grid is obtained, and the power gap load during the peak power consumption period is deducted from the power load of the first target electric vehicle transmitting power back to the power grid, that is, the power grid load that needs to be charged by the power grid system, to obtain the above-mentioned second target load. Based on the second target load, the number of electric vehicles that can be charged by the power grid system can be calculated, that is, the third target electric vehicles.

[0073] In one embodiment of the present application, the above-mentioned backhaul power is calculated according to the backhaul power, the number of the above-mentioned backhaul charging piles and the above-mentioned backhaul time, including:

[0074] The above-mentioned feedback power is calculated by multiplying the above-mentioned feedback charging pile quantity and the above-mentioned feedback time to obtain the above-mentioned feedback power.

[0075] Specifically, the above-mentioned feedback power is calculated as follows: feedback power = electric energy feedback power * number of feedback charging piles * peak power consumption duration, where the peak power consumption duration is 3 hours.

[0076] In one embodiment of the present application, the charging power is calculated according to the electric energy distribution index, the returned power and the number of charging piles, including:

[0077] Calculate the sum of the above electric energy distribution index and the above returned electric energy to obtain the target electric energy;

[0078] Specifically, the above-mentioned power allocation index and the above-mentioned returned power amount are the power amounts that can be used to alleviate the power shortage during the power consumption peak period, and the target power amount = power allocation index + returned power amount.

[0079] Obtaining an estimated charging time, and calculating the product of the estimated charging time and the number of charging piles to obtain a second target value;

[0080] Specifically, the estimated charging time of the electric vehicle during the peak power consumption period is obtained, and the second target value is calculated based on the product of the number of charging piles determined in the above charging pile planning module and the charging time of the electric vehicle. The second target value = estimated charging time * number of charging piles.

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

[0082] Specifically, the charging power is obtained by calculating the ratio of the electric energy obtained by calculating the electric energy distribution index and the electric energy returned to the second target value, and the charging power = target electric energy / second target value.

[0083] An embodiment of the present invention provides a power grid, including a system that executes any one of the above-mentioned aggregation service systems capable of adjusting load resources.

[0084] Specifically, an aggregation service system capable of adjusting load resources includes: a power grid load management system, a power return control system and a charging pile control system, wherein:

[0085] The above-mentioned power grid load management system is used to receive the first peak power generation of the power plant, and determine the gap power value according to the above-mentioned first peak power generation and historical power consumption data, and determine the power allocation index based on the above-mentioned gap power value and send it to the above-mentioned charging pile control system, wherein the above-mentioned historical power consumption data includes historical peak load, historical weather data and data upload time;

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

[0087] The electric energy recycling control system is used to send a recycling request to the first target electric vehicle, generate a recycling list in response to the target feedback 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 recycling request is used to initiate electric energy recovery to the first target electric vehicle, the target feedback is used to indicate that the recycling request is passed, and the recycling list includes all the first target electric vehicles corresponding to the target feedback;

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

[0089] The charging pile control system is used to determine the amount of recycled electricity and the number of charging piles according to the recycled electricity list, and to determine the charging power based on the amount of recycled electricity, the number of charging piles and the electric energy distribution index.

[0090] Specifically, the charging pile control system determines the amount of power to be fed back to the power grid by counting the target feedback, i.e., the feedback list, received by the system during the peak power consumption period, and calculates the number of charging piles used for charging by counting the number of charging piles used to feed back power during the peak power consumption period.

[0091] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0092] From the above description, it can be seen that the above embodiments of the present application achieve the following technical effects:

[0093] The present application discloses an integrated management system for the demand side of a power grid, wherein the integrated management system for the demand side of the power grid includes a power grid load management system, a power feedback control system and a charging pile control system, wherein the power grid load management system is used to receive a first peak power generation of a power plant, and determine a gap power value according to the first peak power generation and historical power consumption data, determine a power allocation index based on the gap power value and send it to the charging pile control system, wherein the historical power consumption data includes historical peak load, historical weather data and data upload time; the power feedback control system is used to send a feedback request to a first target electric vehicle, generate a feedback list in response to target feedback and send it to the charging pile control system, wherein the first target electric vehicle is an electric vehicle whose current state of charge is greater than a first threshold, the feedback request is used to initiate power recovery to the first target electric vehicle, the target feedback is used to indicate that the feedback request is passed, and the feedback list includes all the first target electric vehicles corresponding to the target feedback; the charging pile control system is used to determine the feedback power and the number of charging piles according to the feedback list, and determine the charging power based on the feedback power, the number of charging piles and the power allocation index. The present application proposes an integrated management system for the demand side, which predicts the future power load on the demand side of the power grid by acquiring the power generation data and historical power consumption data of the power plant, further determines the power gap based on the power generation data and the power load, and pushes power recovery requests to electric vehicle users to correct the power gap based on the power gap, distributes the power based on the corrected power supply, and limits the charging power of the charging piles based on the allocated power supply. The system solves the problem of power shortage during peak power consumption periods in the prior art through power feedback and power limit.

[0094] The above description is only the preferred embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. An integrated management system for the demand side of a power grid, characterized in that: The integrated management system includes a power grid load management system, an electric energy return 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, and determine the gap power value according to the first peak power generation and historical power consumption data, and determine the power allocation index based on the gap power value and send it to the charging pile control system, wherein the historical power consumption data includes historical peak load, historical weather data and data upload time; The electric energy recycling control system is used to send a recycling request to a first target electric vehicle, generate a recycling 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 recycling request is a request to initiate electric energy recycling to the first target electric vehicle, the target feedback is used to indicate that the first target electric vehicle allows the charging pile to recycle electric energy, and the recycling list includes all the first target electric vehicles corresponding to the target feedback; The charging pile control system is used to determine the amount of recycled electricity and the number of charging piles according to the recycled electricity list, and determine the charging power of each charging pile based on the amount of recycled electricity, the number of charging piles and the electric energy distribution index.

2. The system according to claim 1, characterized in that The power grid load management system includes a data acquisition module, a load forecasting module and a vacancy calculation module, wherein: The data collection module is used to collect the historical peak load, historical weather data and the data upload time within a first preset period to obtain the historical electricity consumption data; The load prediction module is used to calculate the predicted peak load according to 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 distribution index according to the gap power value, the predicted peak load and the historical power distribution index.

3. The system according to claim 2, characterized in that The electric energy return control system includes a target screening module, a wireless communication module and a list generation module, wherein: The target screening module is used to monitor the charge state of the second target electric vehicle, mark the second target electric vehicle corresponding to the charge state greater than the first threshold as the first target electric vehicle and send it to the wireless communication module; The wireless communication module is used to send the feedback request to each of the first target electric vehicles and receive feedback from each of the targets and send it to the list generation module; The list generation module is used to generate the recycling list according to the target feedback and the recycling time corresponding to the target feedback, and the recycling time includes the start time and end time of the electric energy recycling of each of the first target electric vehicles.

4. The system according to claim 3, characterized in that The charging pile control system includes a recovered electric energy calculation module, a charging power calculation module and a charging pile planning module, wherein: The charging pile planning module is used to determine the number of recycling charging piles and the number of charging piles according to the recycling list, determine the number of charging piles to be deployed according to the number of recycling charging piles and the number of charging piles, and send the number of charging piles to the recovered electric energy calculation module and the charging power calculation module; The recovered electric energy calculation module is used to calculate the recycled power according to the recycled power, the number of recycled charging piles and the recycled time, and send the recycled power to the charging power calculation module; The charging power calculation module is used to calculate the charging power according to the electric energy distribution index, the returned power and the number of charging piles.

5. The system according to claim 2, characterized in that Calculating the predicted peak load according to the historical weather data, the data upload time and the historical peak load includes: Querying a first mapping relationship according to 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 according to 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 second preset coefficients; The economic growth rate is obtained, and the product of the historical peak load, the weather coefficient, the time coefficient and the economic growth rate is calculated to obtain the predicted peak load.

6. The system according to claim 2, characterized in that Calculating the electric energy distribution index according to the power deficit value, the predicted peak load and the historical electric energy distribution index includes: Calculating a ratio of the power shortage value to the predicted peak load to obtain a first ratio, and calculating a difference between a preset value and the first ratio to obtain a first target value; The electric energy allocation index is obtained by calculating the product of the first target value and the historical electric energy allocation index.

7. The system according to claim 4, 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, including: Determine the number of first target electric vehicles based on the feedback list, and determine the number of feedback charging piles according to the number of the first target electric vehicles, the number of the feedback charging piles being greater than or equal to the number of the first target electric vehicles; Determine the load occupied by the first target electric vehicles for charging based on the number of the first target electric vehicles to obtain a first target load; The difference between the electric energy distribution index and the first target load is calculated to obtain a second target load, the number of third target electric vehicles is determined according to the second target load, and the number of the third target electric vehicles is determined as the number of charging piles, and the number of the third target electric vehicles is the number of electric vehicles that can be charged by the second target load.

8. The system according to claim 4, characterized in that The backhaul amount is calculated according to the backhaul power, the number of the backhaul charging piles and the backhaul time, including: The amount of recycled electricity is obtained by calculating the product of the recycled power, the number of recycled charging piles and the recycled time.

9. The system according to claim 4, characterized in that Calculating the charging power according to the electric energy distribution index, the returned power and the number of charging piles includes: Calculating the sum of the electric energy distribution index and the returned electric energy to obtain the target electric energy; Obtaining an estimated charging time, and calculating the product of the estimated charging time and the number of charging piles to obtain a second target value; The charging power is obtained by calculating a ratio of the target electric energy to the second target value.

10. A power grid, characterized in that: The method comprises executing the system described in any one of claims 1 to 9.

Images