Distributed dynamic energy storage device power supply scheduling method and device, medium and equipment

Abstract

The application discloses a distributed dynamic energy storage equipment grid-connected power supply scheduling method, device and system. The method configures the energy storage equipment in two sets of to-be-supplied equipment set and supplied equipment set according to the power supply state thereof. When scheduling, the current segmented time is scheduled according to a time interval T, and the scheduling includes off-grid scheduling and on-grid scheduling. When on-grid scheduling, total power required to be scheduled in the current segmented time is calculated according to power consumption prediction data, and the adjustable time allowance of each to-be-scheduled energy storage equipment is calculated, the to-be-scheduled energy storage equipment is sorted according to the adjustable time allowance, and then the first M to-be-scheduled energy storage equipment satisfying the total power required to be scheduled in the current segmented time is selected. Compared with the scheduling mode of instantaneously scheduling the grid-connected power supply request of the energy storage equipment, the timing scheduling mode greatly reduces the calculation amount caused by scheduling, and can greatly ensure the stability of power grid power supply.

Description

Technical Field

[0001] This invention relates to power dispatching technology, and more particularly to grid-connected power supply dispatching technology for distributed dynamic energy storage devices. Background Technology

[0002] The planning requirements for the flexible and diverse development of new user-side energy storage include the construction of distributed energy supply support systems. Specifically, this involves configuring new energy storage systems around end users such as big data centers, 5G base stations, industrial parks, and highway service areas, as well as rural users with suitable conditions, relying on distributed new energy sources, microgrids, and incremental distribution networks. It also explores the application of electric vehicles in distributed energy supply systems to improve energy quality and reduce energy costs.

[0003] Distributed energy supply support systems are characterized by the miniaturization and dispersed location of energy supply equipment. Each energy supply device has a small power output and can provide a limited amount of electricity, and their locations are geographically dispersed. Small energy supply devices can be divided into two categories: small power generation devices and small energy storage devices. For the first category of small power generation devices, electricity is generated and used immediately, requiring no special power dispatching. For the second category of small energy storage devices, the significance of storing electricity and connecting it to the grid lies in its dispatchability. Through power dispatching, the daily peak-valley electricity consumption difference can be balanced, thereby reducing the need for dispatching thermal power generation. Dispatching such small energy storage devices for grid connection must ensure the stability of the power grid supply. The impact on the power grid caused by a large number of small energy storage devices simultaneously connecting and disconnecting from the grid should be avoided. Simultaneously, the stability of the power supply from power generation equipment, especially thermal power generation equipment, and the balance between power supply and consumption must be ensured.

[0004] Furthermore, the supply of electricity to the grid by energy storage devices is dynamic. This is because the energy storage device itself may or may not actually store any electricity. Especially when electric vehicles are used as energy storage devices, their mobility means that the location, timing, and available power supply of the energy storage device are all dynamic. Summary of the Invention

[0005] The problem this invention aims to solve is to schedule the grid-connected power supply of distributed dynamic energy storage devices to ensure grid stability.

[0006] To solve the above problems, the present invention adopts the following solution:

[0007] According to the power supply scheduling method for distributed dynamic energy storage devices of the present invention, the method includes a request processing step, an interruption processing step, and a scheduling processing step.

[0008] The request processing steps are as follows: When a grid connection power supply request is received from an energy storage device, the power consumption area where the energy storage device is located is determined based on the location information in the grid connection power supply request. Then, the information in the grid connection power supply request is added to the set of devices to be powered corresponding to the power consumption area. The grid connection power supply request includes at least the device identification code, location information, available power supply capacity, power supply capacity, and available power supply time period. The set of devices to be powered is a collection of information on devices to be powered. The information on devices to be powered includes at least the device identification code, available power supply capacity, power supply capacity, and available power supply time period.

[0009] The interruption handling steps are as follows: When a power interruption signal is received from the monitoring module, the power consumption area where the energy storage device is powered is determined based on the location information in the power interruption signal. Then, the corresponding energy storage device is found from the power supply device set corresponding to the power consumption area and deleted from the corresponding power supply device set. The power supply device set is a collection of power supply device information. The power supply device information includes at least the device identification code, power supply power, and power supply start time.

[0010] The scheduling process steps are as follows: with time interval T as the scheduling period, the energy storage devices in each power consumption area are scheduled, including the offline scheduling step and the online scheduling step.

[0011] The offline scheduling step is as follows: traverse the power supply equipment information in the power supply equipment set of the current power consumption area. If the energy storage device corresponding to the power supply equipment information completes the power supply task, send an end power supply command to the corresponding energy storage device and delete the power supply equipment information from the power supply equipment set.

[0012] The internet access scheduling steps include the following steps:

[0013] Step S1: Obtain the predicted electricity consumption data {QP} for the current electricity consumption area, segmented by time interval T. i |i∈1..K};where QP i The electricity consumption prediction data for the i-th time segment is given, where i=1 represents the current time segment and K is the number of time segments required from the current time to the end of the scheduling time.

[0014] Step S2: Calculate and predict the total electricity consumption based on the electricity consumption forecast data. The remaining total power supply capacity QA of the energy storage devices in the power supply equipment set and the actual total power supply capacity QB of the energy storage devices in the equipment set to be powered are calculated, and then the amount of electricity QF required to be supplied by the power generation equipment in each segment time is calculated as QF = (QP - QA - QB) / K.

[0015] Step S3: Calculate the power that needs to be dispatched in the current segment time WR = QP1 / T - QF / T - WA1, where QP1 is the predicted power consumption data for the current segment time, and WA1 is the total power supply power of the combined energy storage devices in the power supply.

[0016] Step S4: Calculate the available time margin TR for each energy storage device in the set of devices to be powered. j =TS j -QB j / WB j Among them, TR j TS represents the available time margin for the j-th energy storage device in the set of devices to be powered. j QB represents the duration from the current time segment to the end of the available power supply period for the j-th energy storage device in the set of devices to be powered. j WB represents the available power capacity of the j-th energy storage device in the set of devices to be powered. j This represents the power supply capacity of the j-th energy storage device in the set of devices to be powered;

[0017] Step S5: Sort the energy storage devices in the power supply equipment set in ascending order of the calculated adjustable time margin;

[0018] Step S6: Select the first M energy storage devices from the sorted energy storage devices and send them a start power supply command. At the same time, delete the corresponding power supply device information from the power supply device set and add it to the power supply device set, so that the total power supply power of the selected M energy storage devices is not less than the power WR that needs to be scheduled in the current segment time.

[0019] Furthermore, according to the distributed dynamic energy storage device power supply scheduling method of the present invention, the method further includes an instruction dispatch step;

[0020] In the offline scheduling step, if the energy storage device corresponding to the power supply device information completes the power supply task, the corresponding energy storage device is added to the set of devices to be terminated, and the corresponding power supply device information is deleted from the set of devices to be terminated; the "sending the power supply termination instruction to the corresponding energy storage device" is handled centrally by the instruction dispatch step for the devices to be terminated in the set of devices to be terminated.

[0021] In step S6, the selected M energy storage devices are added to the set of devices to be powered, and the corresponding information of the devices to be powered is deleted from the set of devices to be powered. The step of "sending a power start command to them and adding them to the set of devices being powered" is handled by the command dispatch step, which centrally processes the devices to be powered in the set of devices to be powered.

[0022] Furthermore, according to the distributed dynamic energy storage device power supply scheduling method of the present invention, the method further includes an electricity consumption prediction step; the electricity consumption prediction step obtains a whole day's electricity consumption prediction data with time interval T as the segment time by statistically analyzing historical data of each electricity consumption area under the same historical period and environment; the electricity consumption prediction data obtained in step S1 is extracted from the whole day's electricity consumption prediction data.

[0023] Furthermore, in the distributed dynamic energy storage device power supply scheduling method of the present invention, the time interval T is 5 to 30 minutes.

[0024] According to the distributed dynamic energy storage device power supply scheduling device of the present invention, the device includes a request processing module, an interrupt processing module and a scheduling processing module;

[0025] The request processing module is configured to: upon receiving a grid-connected power supply request from an energy storage device, determine the power consumption area where the energy storage device is located based on the location information in the grid-connected power supply request, and then add the information in the grid-connected power supply request to the set of devices awaiting power supply corresponding to the power consumption area; the grid-connected power supply request includes at least a device identification code, location information, available power supply capacity, power supply capacity, and available power supply time period; the set of devices awaiting power supply is a collection of information on devices awaiting power supply; the information on devices awaiting power supply includes at least a device identification code, available power supply capacity, power supply capacity, and available power supply time period;

[0026] The interrupt handling module is configured to: when receiving a power interruption signal sent by the monitoring module, determine the power consumption area where the energy storage device is powered based on the location information in the power interruption signal, then find the corresponding energy storage device from the power supply device set corresponding to the power consumption area, and delete it from the corresponding power supply device set; the power supply device set is a collection of power supply device information; the power supply device information includes at least the device identification code, power supply power, and power supply start time;

[0027] The scheduling processing module is used to: schedule the energy storage devices in each power consumption area with a time interval T as the scheduling period, including a grid disconnection scheduling module and a grid connection scheduling module;

[0028] The offline scheduling module is used to: traverse the power supply equipment information in the power supply equipment set of the current power consumption area; if the energy storage device corresponding to the power supply equipment information completes the power supply task, send an end power supply command to the corresponding energy storage device, and delete the power supply equipment information from the power supply equipment set.

[0029] The Internet access scheduling module includes the following modules:

[0030] Module M1 is used to: obtain the predicted electricity consumption data {QP} of the current electricity consumption area in segments with time intervals T.i |i∈1..K};where QP i The electricity consumption prediction data for the i-th time segment is given, where i=1 represents the current time segment and K is the number of time segments required from the current time to the end of the scheduling time.

[0031] Module M2 is used to: statistically predict total electricity consumption based on electricity consumption forecast data. The remaining total power supply capacity QA of the energy storage devices in the power supply equipment set and the actual total power supply capacity QB of the energy storage devices in the equipment set to be powered are calculated, and then the amount of electricity QF required to be supplied by the power generation equipment in each time segment is calculated as QF = (QP - QA - QB) / K.

[0032] Module M3 is used to: calculate the power that needs to be scheduled in the current segment time WR=QP1 / T-QF / T-WA1, where QP1 is the predicted power consumption data for the current segment time, and WA1 is the total power supply power of the energy storage devices in the power supply.

[0033] Module M4 is used to calculate the available time margin TR for each energy storage device in the set of devices to be powered. j =TS j -QB j / WB j Among them, TR j TS represents the available time margin for the j-th energy storage device in the set of devices to be powered. j QB represents the duration from the current time segment to the end of the available power supply period for the j-th energy storage device in the set of devices to be powered. j WB represents the available power capacity of the j-th energy storage device in the set of devices to be powered. j This represents the power supply capacity of the j-th energy storage device in the set of devices to be powered;

[0034] Module M5 is used to sort the energy storage devices in the set of power supply devices in ascending order of the calculated adjustable time margin.

[0035] Module M6 is used to: select the first M energy storage devices from the sorted energy storage devices and send them a start power supply command, while deleting the corresponding information of the devices to be powered from the set of devices to be powered and adding it to the set of devices being powered, so that the total power supply of the selected M energy storage devices is not less than the power WR that needs to be scheduled in the current segment time.

[0036] Furthermore, according to the distributed dynamic energy storage device power supply scheduling device of the present invention, the device further includes an instruction dispatch module;

[0037] In the offline scheduling module, if the energy storage device corresponding to the power supply device information completes the power supply task, the corresponding energy storage device is added to the set of devices to be terminated, and the corresponding power supply device information is deleted from the set of devices to be terminated; the "sending the power supply termination instruction to the corresponding energy storage device" is centrally processed by the instruction dispatch module for the devices to be terminated in the set of devices to be terminated.

[0038] In module S6, the selected M energy storage devices are added to the set of devices to be powered, and the corresponding information of the devices to be powered is deleted from the set of devices to be powered. The step of "sending a power start command to them and adding them to the set of devices being powered" is handled centrally by the command dispatch module.

[0039] Furthermore, according to the distributed dynamic energy storage device power supply scheduling device of the present invention, the device further includes an electricity consumption prediction module; the electricity consumption prediction module is used to: obtain a whole day's electricity consumption prediction data with time interval T as the segment time by statistically analyzing historical data of each electricity consumption area under the same historical period and environment; the electricity consumption prediction data obtained by module M1 is extracted from the whole day's electricity consumption prediction data.

[0040] Furthermore, in the distributed dynamic energy storage device power supply scheduling device according to the present invention, the time interval T is 5 to 30 minutes.

[0041] According to a machine-readable medium of the present invention, the medium stores a set of program instructions that can be read by a machine; when the set of program instructions stored in the medium is read by a machine and loaded and executed, the above-mentioned distributed dynamic energy storage device power supply scheduling method can be realized.

[0042] An electronic device according to the present invention includes a processor and a memory; the memory stores a set of program instructions; when the set of program instructions stored in the memory is executed by the processor, the device can implement the above-described distributed dynamic energy storage device power supply scheduling method.

[0043] The technical effects of this invention are as follows:

[0044] 1. Compared with the real-time scheduling method for grid-connected power supply requests issued by energy storage devices, the present invention adopts a timed scheduling method, which greatly reduces the amount of calculation required for scheduling.

[0045] 2. The scheduling method of the present invention can largely guarantee the stability of power grid supply. Attached Figure Description

[0046] Figure 1 This is a flowchart illustrating an embodiment of the scheduling method of the present invention.

[0047] Figure 2 This is a schematic diagram of the structure of an embodiment of the electronic device of the present invention.

[0048] Figure 3 This is a schematic diagram of the structure of an embodiment of the energy storage and power supply system of the present invention. Detailed Implementation

[0049] The present invention will now be described in further detail with reference to the accompanying drawings.

[0050] Figure 3 An energy storage and power supply system is illustrated, comprising a server 100, several charging piles 200, and several fixed energy storage devices 300. The charging piles 200 and the fixed energy storage devices 300 are connected to the server 100 via a network 900. Each charging pile 200 is equipped with a grid-connected inverter and connected to the power grid. When needed, electric vehicles can be charged through the charging piles 200, or they can act as energy storage devices to supply power to the power grid. When an electric vehicle supplies power to the power grid through the charging pile 200, the grid-connected inverter on the charging pile 200 converts the DC power output from the electric vehicle into AC power output, ensuring that the voltage, frequency, and phase of the output AC power are consistent with the power grid. For the server 100, both the electric vehicles connected to the charging piles 200 and the fixed energy storage devices 300 are dynamic. Therefore, both the electric vehicles acting as energy storage devices and the fixed energy storage devices 300 must first send a grid connection request to the server 100 before connecting to the grid. The grid connection request includes the device identification code, location information, available power supply, power output, and available time period. When an electric vehicle, acting as an energy storage device, sends a grid connection request to the server 100 via the charging pile 200, this is typically done through the charging pile 200. The charging pile 200 adds location information to the grid connection request sent by the electric vehicle. This location information may be an identification code that the charging pile 200 has pre-registered with the server 100. The server 100 receives the identification code from the charging pile 200 and finds its corresponding location information based on the registration information associated with the identification code. Fixed energy storage devices 300 are usually pre-registered with the server 100, so their location information can be left blank; the server 100 can find the corresponding location information through its registration information.

[0051] The distributed dynamic energy storage device power supply scheduling method of this invention is implemented by server 100 through the execution of a computer program instruction set. Server 100 is an electronic device, referred to as... Figure 2For example, it includes at least a connected processor and memory, and is a general-purpose computer device composed of a processor and memory. It typically also includes a communication module, which connects to a network and subsequently to the charging pile 200 and the fixed energy storage device 300. The computer program instruction set executed by the server 100 is typically stored in memory and loaded and executed by the processor. Memory refers to the machine-readable medium as understood in this invention, and is typically a sustainable storage device, including but not limited to disks, magnetic tapes, and solid-state drives.

[0052] The distributed dynamic energy storage device power supply scheduling method in this embodiment refers to... Figure 1 The process includes request processing, interrupt handling, scheduling, and instruction dispatching steps. The request processing, interrupt handling, and instruction dispatching steps are interaction steps with the energy storage device. In this embodiment, the energy storage device is either the aforementioned fixed energy storage device 300 or an electric vehicle connected via a charging pile 200. The scheduling steps include offline scheduling and online scheduling. Both the scheduling and instruction dispatching steps are driven by a timer.

[0053] The request processing steps are as follows: when a grid connection power supply request is received from an energy storage device, the power consumption area where the energy storage device is located is determined based on the location information in the grid connection power supply request, and then the information in the grid connection power supply request is added to the set of devices to be powered corresponding to the power consumption area.

[0054] The interruption handling steps are as follows: when a power interruption signal is received from the monitoring module, the power consumption area where the energy storage device is powered is determined based on the location information in the power interruption signal. Then, the corresponding energy storage device is found from the power supply equipment set corresponding to the power consumption area and deleted from the corresponding power supply equipment set.

[0055] In the method of this invention, server 100 maintains two sets: a set of devices awaiting power supply and a set of devices currently being powered. The set of devices awaiting power supply stores device information for energy storage devices not currently participating in grid-connected power supply; it is a collection of device information awaiting power supply. The set of devices currently being powered stores device information for energy storage devices currently being connected to the grid; it is a collection of device information currently being powered. The device information awaiting power supply originates from grid-connected power supply requests and includes at least the device identification code, available power supply capacity, power supply capacity, and available power supply time period. In practical applications, the device information awaiting power supply typically also includes relevant user account information and location information to facilitate metering and billing during subsequent power supply. The device information currently being powered supply originates from the device information awaiting power supply and grid connection scheduling, and includes at least the device identification code, power supply capacity, and power supply start time. In practical applications, the device information currently being powered typically also includes user account information, location information, currently supplied power supply capacity, and planned power supply end time.

[0056] The set of devices awaiting power supply and the set of devices in power supply are associated with user areas. A user area is a regional division of the power grid for electricity users, and its size is usually determined by the number of users connected by the user-end transformer. In one optional implementation, such as an office building, a unique user area may exist. In this case, the set of devices awaiting power supply and the set of devices in power supply do not need to be specifically associated with user areas. In this case, during the request processing step, when a grid connection power supply request sent by an energy storage device is received, the information in the grid connection power supply request is added to the set of devices awaiting power supply. In this embodiment, the location information in the grid connection power supply request has two scenarios: the first is when the grid connection power supply request is forwarded by the charging pile 200 from the electric vehicle, and the second is when the grid connection power supply request is sent by the fixed energy storage device 300. In the former case, the location information is the identification code of the charging pile 200. In this case, the server 100 can find the corresponding registration information based on the identification code of the charging pile 200, and thus can directly determine the user area where the energy storage device is located based on the user area where the charging pile 200 is located in the registration information. If the latter location information is empty, the server can find the corresponding registration information based on the device identification code of the fixed energy storage device 300. Thus, the user area where the energy storage device is located can be determined based on the user area where the fixed energy storage device 300 is located in the registration information.

[0057] The interruption handling step addresses situations where power supply is abnormally interrupted. For example, if an electric vehicle is connected to the grid as an energy storage device and the owner continues to use the vehicle, this could lead to an abnormal power supply interruption. A monitoring module is used to monitor such power supply interruptions. This monitoring module is typically configured in the charging pile 200, and its specific implementation is beyond the scope of this invention. When the charging pile 200 detects an abnormal disconnection of the electric vehicle, causing a power supply interruption, it sends a power supply interruption signal to the server 100. Based on the location information in the power supply interruption signal, the power consumption area where the energy storage device is supplied is determined. Then, the corresponding energy storage device is found from the power supply device set corresponding to that power consumption area and removed from the corresponding power supply device set. At this time, the location information in the power supply interruption signal is the same as the location information in the aforementioned grid connection request—it is the identification code of the charging pile 200. Finding the corresponding energy storage device in the power supply device set is usually done based on the identification code of the charging pile 200.

[0058] The scheduling process is used to schedule energy storage devices in various power consumption areas in segments. Specifically, it schedules both the sets of devices awaiting power supply and the sets of devices already in power supply. The grid disconnection scheduling step processes the sets of devices already in power supply, while the grid connection scheduling step processes the sets of devices awaiting power supply. The scheduling process is a time-driven process. Specifically, a timer executes the scheduling process at regular intervals T throughout the entire scheduling period. The entire scheduling period is typically the peak power period, but is not limited to a full day. The entire scheduling period is divided into several segments by the time interval T. The time interval T is generally 5–30 minutes, and the corresponding segment duration is 5–30 minutes. Each execution of the scheduling process schedules power supply within its corresponding segment. The segment it processes is the current segment for the scheduling process. When the scheduling process is executed, the grid disconnection scheduling step is executed first, followed by the grid connection scheduling step.

[0059] The offline scheduling step involves iterating through the power supply equipment set in the current power consumption area. If the energy storage device corresponding to the power supply equipment information completes its power supply task, a power supply termination command is sent to the corresponding energy storage device, and the power supply equipment information is removed from the power supply equipment set. In this embodiment, "sending a power supply termination command to the corresponding energy storage device" is completed by the command dispatch step. Specifically, if the energy storage device corresponding to the power supply equipment information completes its power supply task, the corresponding energy storage device is added to the set of devices awaiting power termination, and the power supply equipment information is removed from the power supply equipment set. Then, the command dispatch step centrally processes each energy storage device in the set of devices awaiting power termination by "sending a power supply termination command to the energy storage device." The determination of whether an energy storage device has completed its power supply task is based on the available power supply capacity, power supply power, and power supply start time. If the power supply capacity calculated based on the power supply power from the power supply start time to the current time is close to or exceeds the available power supply capacity, the energy storage device is considered to have completed its power supply task. In a preferred embodiment, the online scheduling step calculates the power supply termination time based on the available power supply capacity, power supply power, and power supply start time. Whether the energy storage device has completed its power supply task can be determined by whether the current time exceeds the power supply end time. Furthermore, since grid dispatching is performed on a time interval T basis, the power supply start time and power supply end time are usually aligned with the time interval T. For example, if the power supply start time is 9:00 and the power supply end time is 15:08, and the time interval T is 15 minutes, then the power supply end time 15:08, aligned with the 15-minute time interval, becomes 15:00.

[0060] The internet access scheduling process includes the following steps:

[0061] Step S1: Obtain the predicted electricity consumption data for the current electricity consumption area, segmented by time interval T;

[0062] Step S2: Based on the electricity consumption forecast data, calculate the total electricity consumption forecast, calculate the remaining total power supply of the energy storage devices in the power supply equipment set and the actual total power supply of the energy storage devices in the waiting power equipment set, and then calculate the amount of electricity that needs to be supplied by the power generation equipment in each time segment.

[0063] Step S3: Calculate the power that needs to be scheduled in the current time segment;

[0064] Step S4: Calculate the available time margin for each energy storage device in the set of devices to be powered;

[0065] Step S5: Sort the energy storage devices in the power supply equipment set in ascending order of the calculated adjustable time margin;

[0066] Step S6: Select the first M energy storage devices from the sorted energy storage devices and send them a start power supply command. At the same time, delete the corresponding information of the devices to be powered from the set of devices to be powered and add it to the set of devices being powered, so that the total power supply of the selected M energy storage devices is not less than the adjustable time margin.

[0067] The step S1 involves obtaining the electricity consumption forecast data for the current power consumption area, segmented by time interval T, as input. In existing power grid dispatching systems, there is usually an electricity consumption forecasting module. In another implementation, such as for an application within an office building, electricity consumption forecasting is not an existing module. In this case, the method can further include an electricity consumption forecasting step. The electricity consumption forecasting step obtains a full day's electricity consumption forecast data, segmented by time interval T, by statistically analyzing historical data from the same period and environment for each power consumption area. The electricity consumption forecast data obtained in step S1 is extracted from the full day's electricity consumption forecast data. It should be noted that the electricity consumption forecast data required in step S1 is the electricity consumption forecast data required from the current segment time to the end of the dispatching time, mathematically represented as {QP}. i |i∈1..K}. Where QP i This represents the electricity consumption forecast data for the i-th time segment, where i = 1 indicates the current time segment, and K is the number of time segments required from the current time to the end of the scheduling period. Here, the current time refers to the start time of the current time segment.

[0068] In step S2, the total electricity consumption can be predicted based on the formula. The calculations are as follows: QP represents the predicted total electricity consumption. QP is not the total predicted electricity consumption for the entire scheduling period, but rather the total predicted electricity consumption from the current moment to the end of the scheduling period. The remaining available power supply from energy storage devices in the power supply equipment set is calculated by subtracting the already supplied power from the available power supply of each energy storage device. The actual available power supply from each energy storage device in the waiting-to-be-powered equipment set is the sum of its actual available power supply. The actual available power supply from energy storage devices is usually the available power supply information in the waiting-to-be-powered equipment information. However, considering the power supply capacity and available time period of energy storage devices, if the power supply capacity × available time period is less than the available power supply, then the actual available power supply from energy storage devices is the power supply capacity × available time period. The amount of electricity that needs to be supplied by the generator equipment in each time segment can be calculated using the following formula: QF = (QP - QA - QB) / K; where QF is the amount of electricity that needs to be supplied by the generator equipment in each time segment; QA and QB are the remaining available power supply from energy storage devices in the power supply equipment set and the actual available power supply from energy storage devices in the waiting-to-be-powered equipment set, respectively.

[0069] In step S3, the power that needs to be scheduled in the current segment time is calculated by the following formula: WR=QP1 / T-QF / T-WA1; where QP1 is the predicted power consumption data for the current sealing time, and WA1 is the total power supply of the energy storage devices in the power supply.

[0070] In step S4, the adjustable time margin of the energy storage device is calculated using the following formula: TR j =TS j -QB j / WB j Among them, TR j TS represents the available time margin for the j-th energy storage device in the set of devices to be powered. j QB represents the duration from the current time segment to the end of the available power supply period for the j-th energy storage device in the set of devices to be powered. j WB represents the available power capacity of the j-th energy storage device in the set of devices to be powered. j This represents the power output of the j-th energy storage device in the set of devices to be powered. It should be noted that the TR calculated here... j It may be a negative value.

[0071] In step S6, an abnormal situation exists where the total power supply of all energy storage devices in the set of devices to be powered is less than the power required for scheduling in the current time segment. In this case, when selecting the first M energy storage devices from the sorted list, all energy storage devices in the set of devices to be powered are selected. Furthermore, in step S6, the step of "sending a start power supply command to them and adding them to the set of devices being powered" is completed by the command dispatch step in this embodiment. Specifically, in step S6, the first M selected energy storage devices are added to the set of devices to be powered, and the corresponding information about the devices to be powered is deleted from the set. Then, the command dispatch step centrally processes each energy storage device in the set of devices to be powered by "sending a start power supply command to them and adding them to the set of devices being powered."

[0072] The instruction dispatch step is executed after the scheduling processing step is completed. In this embodiment, the scheduling processing step outputs two sets: the set of power supply devices to be terminated output by the offline scheduling step and the set of power supply devices to be started output by the online scheduling step. The instruction dispatch step traverses the set of power supply devices to be terminated and the set of power supply devices to be started, executing "sending a power termination instruction to the corresponding energy storage device" for the energy storage devices in the traversed set of power supply devices to be terminated, and executing "sending a power start instruction to the energy storage device and adding it to the set of power supply devices" for the energy storage devices in the traversed set of power supply devices to be started. It should be noted that the power termination instruction and power start instruction sent by the server 100 to the energy storage device correspond to the power termination and power start of the corresponding energy storage device in this invention. In specific implementation, the power termination instruction or power start instruction sent by the server 100 to the energy storage device requires a specific protocol for interaction between the server 100 and the energy storage device. In addition, this also involves billing and payment matters. The specific protocol process of interaction between the server 100 and the energy storage device, as well as billing and payment matters, are not within the scope of this invention and will not be elaborated here.

[0073] Furthermore, in this embodiment, "sending a power supply termination command to the corresponding energy storage device" and "sending a power supply start command to it and adding it to the power supply device set" are processed centrally through the command dispatch step. Those skilled in the art will understand that in another optional implementation, they can also be executed directly in the grid disconnection scheduling step and step S6.

[0074] Furthermore, the aforementioned entire scheduling period is typically a continuous timeframe. In some regions, peak power hours may be divided into several segments, in which case the entire scheduling period can also be a discontinuous timeframe. In the case where the entire scheduling period is a discontinuous timeframe consisting of multiple segments, it is only necessary to send a corresponding power supply suspension command to the energy storage device at the end of the peak power period, or the energy storage device itself can initiate a power supply suspension, resuming power supply during the next peak power period. It should be noted that in this scenario, the aforementioned electricity consumption forecast data {QP}... i |i∈1..K} is not necessarily continuous.

[0075] Furthermore, it should be noted that the time when an energy storage device sends a grid connection request is not necessarily within the entire dispatch period; it can also be earlier than the entire dispatch period. For example, if the peak power hours in a certain region are from 9:00 AM to 5:00 PM, then the corresponding entire dispatch period is from 9:00 AM to 5:00 PM, and the energy storage device is allowed to send a grid connection request earlier than 9:00 AM.

[0076] Furthermore, it should be noted that the device referred to above in this invention is a virtual device implemented by the server 100 through the execution of computer program instructions, which corresponds one-to-one with the aforementioned steps and need not be elaborated upon.

Claims

1. A method for power supply scheduling of distributed dynamic energy storage devices, characterized in that, The method includes a request processing step, an interruption processing step, and a scheduling processing step; The request processing steps are as follows: When a grid connection power supply request is received from an energy storage device, the power consumption area where the energy storage device is located is determined according to the location information in the grid connection power supply request, and then the information in the grid connection power supply request is added to the set of devices to be powered corresponding to the power consumption area. The grid-connected power supply request includes at least the device identification code, location information, available power supply capacity, power supply capacity, and available power supply time period; the set of devices to be powered is a set of information on devices to be powered; the information on devices to be powered includes at least the device identification code, available power supply capacity, power supply capacity, and available power supply time period; The interruption handling steps are as follows: When a power interruption signal is received from the monitoring module, the power consumption area where the energy storage device is powered is determined based on the location information in the power interruption signal. Then, the corresponding energy storage device is found from the power supply device set corresponding to the power consumption area and deleted from the corresponding power supply device set. The power supply device set is a collection of power supply device information. The power supply device information includes at least the device identification code, power supply power, and power supply start time. The scheduling process steps are as follows: with time interval T as the scheduling cycle, the energy storage devices in each power consumption area are scheduled, including the offline scheduling step and the online scheduling step. The offline scheduling step is as follows: traverse the power supply equipment information in the power supply equipment set of the current power consumption area. If the energy storage device corresponding to the power supply equipment information completes the power supply task, send an end power supply command to the corresponding energy storage device and delete the power supply equipment information from the power supply equipment set. The internet access scheduling steps include the following steps: Step S1: Obtain the predicted electricity consumption data {QP} for the current electricity consumption area, segmented by time interval T. i |i∈1..K};where QP i The electricity consumption prediction data for the i-th segment is given, where i=1 represents the current segment time, and K is the number of segments required from the current time to the end of the scheduling time. Step S2: Calculate and predict the total electricity consumption based on the electricity consumption forecast data. The remaining total power supply capacity QA of the energy storage devices in the power supply equipment set and the actual total power supply capacity QB of the energy storage devices in the equipment set to be powered are calculated, and then the amount of electricity QF required to be supplied by the power generation equipment in each time segment is calculated as QF = (QP - QA - QB) / K. Step S3: Calculate the power that needs to be dispatched in the current segment time WR = QP1 / T - QF / T - WA1, where QP1 is the predicted power consumption data for the current segment time, and WA1 is the total power supply power of the combined energy storage devices in the power supply. Step S4: Calculate the available time margin TR for each energy storage device in the set of devices to be powered. j =TS j -QB j / WB j Among them, TR j TS represents the available time margin for the j-th energy storage device in the set of devices to be powered. j QB represents the duration from the current time segment to the end of the available power supply period for the j-th energy storage device in the set of devices to be powered. j WB represents the available power capacity of the j-th energy storage device in the set of devices to be powered. j This represents the power supply capacity of the j-th energy storage device in the set of devices to be powered; Step S5: Sort the energy storage devices in the power supply equipment set in ascending order of the calculated adjustable time margin; Step S6: Select the first M energy storage devices from the sorted energy storage devices and send them a start power supply command. At the same time, delete the corresponding power supply device information from the power supply device set and add it to the power supply device set, so that the total power supply power of the selected M energy storage devices is not less than the power WR that needs to be scheduled in the current segment time.

2. The power supply scheduling method for distributed dynamic energy storage devices according to claim 1, characterized in that, The method also includes an instruction dispatch step; In the offline scheduling step, if the energy storage device corresponding to the power supply device information completes the power supply task, the corresponding energy storage device is added to the set of devices to be terminated, and the corresponding power supply device information is deleted from the set of devices to be terminated; the "sending the power supply termination instruction to the corresponding energy storage device" is handled centrally by the instruction dispatch step for the devices to be terminated in the set of devices to be terminated. In step S6, the selected M energy storage devices are added to the set of devices to be powered, and the corresponding information of the devices to be powered is deleted from the set of devices to be powered. The step of "sending a power start command to them and adding them to the set of devices being powered" is handled by the command dispatch step, which centrally processes the devices to be powered in the set of devices to be powered.

3. The power supply scheduling method for distributed dynamic energy storage devices according to claim 1, characterized in that, The method also includes an electricity consumption forecasting step; the electricity consumption forecasting step obtains a whole day's electricity consumption forecast data by statistically analyzing historical data of the same period and environment in each electricity consumption area, with time interval T as the segment time; the electricity consumption forecast data obtained in step S1 is extracted from the electricity consumption forecast data of the whole day.

4. The distributed dynamic energy storage device power supply scheduling method according to claim 1, 2, or 3, characterized in that, The time interval T is 5 to 30 minutes.

5. The distributed dynamic energy storage device power supply scheduling device according to claim 1, characterized in that, The device includes a request processing module, an interrupt processing module, and a scheduling processing module; The request processing module is used to: when receiving a grid connection power supply request sent by an energy storage device, determine the power consumption area where the energy storage device is located based on the location information in the grid connection power supply request, and then add the information in the grid connection power supply request to the set of devices to be powered corresponding to the power consumption area. The grid-connected power supply request includes at least the device identification code, location information, available power supply capacity, power supply capacity, and available power supply time period; the set of devices to be powered is a set of information on devices to be powered; the information on devices to be powered includes at least the device identification code, available power supply capacity, power supply capacity, and available power supply time period; The interrupt handling module is configured to: when receiving a power interruption signal sent by the monitoring module, determine the power consumption area where the energy storage device is powered based on the location information in the power interruption signal, then find the corresponding energy storage device from the power supply device set corresponding to the power consumption area, and delete it from the corresponding power supply device set; the power supply device set is a collection of power supply device information; the power supply device information includes at least the device identification code, power supply power, and power supply start time; The scheduling processing module is used to: schedule the energy storage devices in each power consumption area with a time interval T as the scheduling period, including a grid disconnection scheduling module and a grid connection scheduling module; The offline scheduling module is used to: traverse the power supply equipment information in the power supply equipment set of the current power consumption area; if the energy storage device corresponding to the power supply equipment information completes the power supply task, send an end power supply command to the corresponding energy storage device, and delete the power supply equipment information from the power supply equipment set. The Internet access scheduling module includes the following modules: Module M1 is used to: obtain the predicted electricity consumption data {QP} of the current electricity consumption area in segments with time intervals T. i |i∈1..K};where QP i The electricity consumption prediction data for the i-th time segment is given, where i=1 represents the current time segment and K is the number of time segments required from the current time to the end of the scheduling time. Module M2 is used to: statistically predict total electricity consumption based on electricity consumption forecast data. The remaining total power supply capacity QA of the energy storage devices in the power supply equipment set and the actual total power supply capacity QB of the energy storage devices in the equipment set to be powered are calculated, and then the amount of electricity QF required to be supplied by the power generation equipment in each segment time is calculated as QF = (QP - QA - QB) / K. Module M3 is used to: calculate the power that needs to be scheduled in the current segment time WR=QP1 / T-QF / T-WA1, where QP1 is the predicted power consumption data for the current segment time, and WA1 is the total power supply power of the energy storage devices in the power supply. Module M4 is used to calculate the available time margin TR for each energy storage device in the set of devices to be powered. j =TS j -QB j / WB j Among them, TR j TS represents the available time margin for the j-th energy storage device in the set of devices to be powered. j QB represents the duration from the current time segment to the end of the available power supply period for the j-th energy storage device in the set of devices to be powered. j WB represents the available power capacity of the j-th energy storage device in the set of devices to be powered. j This represents the power supply capacity of the j-th energy storage device in the set of devices to be powered; Module M5 is used to sort the energy storage devices in the set of power supply devices in ascending order of the calculated adjustable time margin. Module M6 is used to: select the first M energy storage devices from the sorted energy storage devices and send them a start power supply command, while deleting the corresponding information of the devices to be powered from the set of devices to be powered and adding it to the set of devices being powered, so that the total power supply of the selected M energy storage devices is not less than the power WR that needs to be scheduled in the current segment time.

6. The distributed dynamic energy storage device power supply scheduling device according to claim 5, characterized in that, The device also includes an instruction dispatch module; In the offline scheduling module, if the energy storage device corresponding to the power supply device information completes the power supply task, the corresponding energy storage device is added to the set of devices to be terminated, and the corresponding power supply device information is deleted from the set of devices to be terminated; the "sending the power supply termination instruction to the corresponding energy storage device" is centrally processed by the instruction dispatch module for the devices to be terminated in the set of devices to be terminated. In module S6, the selected M energy storage devices are added to the set of devices to be powered, and the corresponding information of the devices to be powered is deleted from the set of devices to be powered. The "sending a power start command to them and adding them to the set of devices being powered" is handled centrally by the command dispatch module.

7. The distributed dynamic energy storage device power supply scheduling device according to claim 5, characterized in that, The device also includes an electricity consumption forecasting module; the electricity consumption forecasting module is used to: obtain a whole day's electricity consumption forecast data with time interval T as the segment by statistically analyzing historical data of the same period and environment in each electricity consumption area; the electricity consumption forecast data obtained by module M1 is extracted from the whole day's electricity consumption forecast data.

8. The distributed dynamic energy storage device power supply dispatching device according to claim 5, 6, or 7, characterized in that, The time interval T is 5 to 30 minutes.

9. A machine-readable medium storing a set of program instructions that can be read by a machine; characterized in that, When the program instruction set stored in the medium is read and loaded by the machine, the power supply scheduling method for distributed dynamic energy storage devices according to any one of claims 1 to 4 can be realized.

10. An electronic device, comprising a processor and a memory; wherein the memory stores a program instruction set; characterized in that, When the program instruction set stored in the memory is executed by the processor, the device can implement the power supply scheduling method for distributed dynamic energy storage devices according to any one of claims 1 to 4.

Images