Scheduling assignment management device for micro-grid energy storage system

Abstract

Provided is a scheduling assignment management device for a micro-grid energy storage system. Recording and analysis of electric quantity characteristic data are achieved, faults are detected and processed in time, and workers can analyze subsequent mode proportion for assignment. The device comprises a task processing module, an electricity consumption measurement module, a big data module, a mode selection module, a comparison module, and a fault management module; the task processing module is used for executing a scheduled and assigned task; the big data module is used for collecting data generated by executing the scheduled and assigned task, and processing and analyzing the data to generate an analysis result; the mode selection module is used for on the basis of the analysis result, assigning power storage and power supply in different time periods of each area of which power is supplied by a micro-grid energy storage system; the electricity consumption measurement module is used for measuring the electricity consumption of each area after assignment and generating an electricity consumption measurement result; the comparison module is used for comparing the electricity consumption; and the fault management module is used for detecting a fault generated in the micro-grid energy storage system and processing the fault.

Description

A dispatching and distribution management device for a microgrid energy storage system Technical Field

[0001] The present application relates to the field of dispatching and allocation technology, and in particular to a dispatching and allocation management device for a microgrid energy storage system. Background Art

[0002] A microgrid cluster, formed by interconnecting geographically adjacent microgrids and distributed generation systems to form a microgrid cluster system (also known as a microgrid energy storage system), represents the future development trend of microgrids. However, research on microgrid clusters is still in its infancy and faces numerous challenges, such as the impact of large-scale distributed power generation on grid stability and wind and solar curtailment. A microgrid itself is a complex system, incorporating different types of distributed power sources and loads. While considering the power generation efficiency of different power sources, it is also important to ensure the stability of the microgrid itself and the guaranteed power supply rate of the loads. In practice, forecasts of wind speed and solar irradiance for the next day can be used to predict the output of wind turbines and solar cells for the day.

[0003] The current dispatching and allocation management device is unable to record and compare data to quickly allocate the optimal mode. Staff cannot analyze the mode proportions and the impact of factors based on the data. They do not have a good ability to deal with subsequent accidents. There are disadvantages in its use. In addition, the existing dispatching and allocation management platform cannot detect and handle faults when a fault occurs in the microgrid energy storage system.

[0004] Summary of the Invention

[0005] This application provides a dispatching and allocation management device for a microgrid energy storage system. This device records and analyzes power characteristic data, enabling personnel to analyze subsequent mode ratio allocations, significantly reducing subsequent error rates, achieving target values ​​more quickly, and better adapting to actual power demand. Furthermore, it avoids the inability to promptly address faults in the microgrid energy storage system.

[0006] In a first aspect, a scheduling and allocation management device for a microgrid energy storage system is provided, comprising a task processing module, a power consumption detection module, a big data module, a selection mode module, a comparison module, and a fault management module;

[0007] The task processing module is used to execute the tasks assigned by the scheduler;

[0008] The big data module is used to collect data generated by executing the scheduled tasks, process and analyze them, and generate analysis results;

[0009] The selection mode module is used to allocate power storage and power supply in different time periods in each of at least one area powered by the microgrid energy storage system according to the analysis results;

[0010] The power consumption detection module is used to detect the power consumption of at least one area after allocation and generate a power consumption detection result;

[0011] The comparison module includes a mode power consumption comparison unit, a regional power consumption comparison unit and an annual power consumption comparison unit. The mode power consumption comparison unit is used to compare the power consumption of different modes at the same time according to the power consumption detection results. The regional power consumption comparison unit is used to compare the power consumption of different regions at the same time according to the power consumption detection results. The annual power consumption comparison unit is used to compare the power consumption at different times of the year according to the power consumption detection results.

[0012] The fault management module is used to detect and handle faults in the microgrid energy storage system.

[0013] In a feasible design, an energy management module is also included;

[0014] The energy management module includes a real-time data monitoring unit, an equipment status monitoring unit, and a photovoltaic monitoring and prediction unit;

[0015] The real-time data monitoring unit is used to collect real-time statistics on the operating status of power generation equipment, power generation power, total power of power consumption equipment, and energy storage charging and discharging power in the microgrid energy storage system;

[0016] The equipment status monitoring unit is used to monitor the operating status of each device in the microgrid energy storage system in real time;

[0017] The photovoltaic monitoring and prediction unit is used to collect statistics on the power generation and power of the microgrid energy storage system, energy conservation and emission reduction, as well as to predict weather forecasts and photovoltaic power generation.

[0018] In a feasible design, the energy management module further includes a load monitoring and prediction unit and an energy storage monitoring unit;

[0019] The load monitoring and prediction unit is used to determine the time-of-use power consumption within a selected time period based on the total load power curve of the microgrid energy storage system and the power curve of important loads;

[0020] The energy storage monitoring unit is used to determine the daily energy storage SOC time-sharing charge and discharge amount based on the daily energy storage power curve of the microgrid energy storage system, and to determine the daily energy storage time-sharing charge and discharge amount based on the charge and discharge power curve and real-time status of each group of energy storage batteries.

[0021] In a feasible design, the task processing module includes a task setting unit, a task analysis unit, and a task execution unit. The task processing module is used to execute the scheduled tasks, including:

[0022] The task setting unit is used to schedule and allocate tasks to the devices in the microgrid energy storage system;

[0023] The task analysis unit is used to analyze the tasks assigned to the equipment in the microgrid energy storage system and generate analysis results;

[0024] The task execution unit is used to determine whether the equipment in the microgrid energy storage system executes the corresponding task based on the analysis results.

[0025] In a feasible design, the power consumption detection module includes a time period power consumption detection unit, a day power consumption detection unit, a month power consumption detection unit, and a year power consumption detection unit. The power consumption detection module is used to detect the power consumption of at least one area after allocation, including:

[0026] The time period power consumption detection unit is used to detect the power consumption of at least one area after allocation in a preset time period;

[0027] The current day power consumption detection unit is used to detect the current day power consumption of at least one area after allocation;

[0028] The monthly electricity consumption detection unit is used to detect the electricity consumption of at least one allocated area in the current month;

[0029] The current year electricity consumption detection unit is used to detect the current year electricity consumption of at least one allocated area.

[0030] In a feasible design, the big data module includes a visualization unit, a data acquisition unit, a data processing unit and a data analysis unit. The big data module is used to collect data generated by executing the scheduled tasks, and process and analyze the data to generate analysis results, including:

[0031] The data acquisition unit is used to collect data generated by the energy data management module, the task processing module and the fault management module based on big data statistics;

[0032] The data processing unit is used to process the collected data so that the visualization unit can generate a table or a graph based on the collected data;

[0033] The data analysis unit is used to analyze the data according to tables or graphs and generate analysis results.

[0034] In a feasible design, the selection mode module includes a normal mode, a valley mode, a peak mode, and a regional unit. The normal mode is used to evenly distribute the power supply and storage of each area in at least one area of ​​the microgrid energy storage system during normal times. The valley mode is used to distribute the storage and power supply of each area during valley times. The peak mode is used to distribute the power supply and storage of each area during peak times. The regional unit is used to divide each area into normal times, valley times, and peak times. The selection mode module is used to distribute the storage and power supply of each area in different time periods of at least one area powered by the microgrid energy storage system according to the analysis results, including:

[0035] The mode selection module is used to select a target mode for power storage and power supply in different time periods for each of at least one area powered by the microgrid energy storage system based on the analysis results, where the target mode is one of a normal mode, an off-peak mode, and a peak mode;

[0036] The power storage and supply are allocated to each area in the corresponding time period based on the target mode.

[0037] In a feasible design, the mode power consumption comparison unit is used to compare the power consumption of different modes at the same time according to the power consumption detection result, including:

[0038] The mode power consumption comparison unit is used to determine the power consumption of each area at the same time when using the normal mode, the off-peak mode and the peak mode respectively according to the power consumption detection result;

[0039] The mode power consumption comparison unit is used to compare the power consumption of each area at the same time when the normal mode, off-peak mode and peak mode are used respectively.

[0040] In a feasible design, the fault management module includes a fault detection unit and a fault processing unit. The fault management module is used to detect and process faults generated in the microgrid energy storage system, including:

[0041] The fault detection unit is used to detect over-temperature equipment and fire extinguishing devices in the microgrid energy storage system;

[0042] The fault handling unit is used to control the fire extinguishing device to extinguish the fire if the equipment with too high temperature catches fire.

[0043] In the above-described example of the present application, after the task processing module executes the dispatched task, the dispatch and allocation management device of the microgrid energy storage system collects the data generated by the dispatched task through the big data module, processes and analyzes it, and generates analysis results, thereby recording and analyzing the power characteristic data. This allows the mode selection module to accurately allocate power storage and power supply for different time periods in each of at least one area powered by the microgrid energy storage system based on the analysis results. The power consumption detection module detects the power consumption of at least one area after allocation and generates a power consumption detection result. The comparison module then compares the power consumption of different modes at the same time, the power consumption of different regions at the same time, and the power consumption of different years based on the power consumption detection results. This allows staff to analyze subsequent mode share allocations, significantly reducing subsequent error rates, achieving target values ​​more quickly, and better adapting to actual power demand. Furthermore, the power supply management module detects faults in the microgrid energy storage system, preventing the inability to promptly address faults in the microgrid energy storage system. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the technical solution of the present application, the following is a brief introduction to the drawings required for use in the embodiments. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0045] FIG1 is a schematic diagram of a dispatching and allocation management device for a microgrid energy storage system provided by an exemplary embodiment of the present application;

[0046] FIG2 is a schematic diagram of a scheduling and allocation process for a microgrid energy storage system provided by an exemplary embodiment of the present application;

[0047] FIG3 is a schematic diagram of an energy management module provided by an exemplary embodiment of the present application;

[0048] FIG4 is a schematic diagram of a task processing module provided by an exemplary embodiment of the present application;

[0049] FIG5 is a schematic diagram of a power consumption detection module provided by an exemplary embodiment of the present application;

[0050] FIG6 is a schematic diagram of a big data module provided by an exemplary embodiment of the present application;

[0051] FIG7 is a schematic diagram of a selection mode module provided by an exemplary embodiment of the present application;

[0052] FIG8 is a schematic diagram of a comparison module provided by an exemplary embodiment of the present application;

[0053] FIG9 is a schematic diagram of a fault management module provided by an exemplary embodiment of the present application. DETAILED DESCRIPTION

[0054] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0055] In the description of this application, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicating directions or positional relationships, are based on the directions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the devices or components referred to must have a specific direction, be constructed and operated in a specific direction, and therefore should not be understood as limiting this application; the terms "first", "second", and "third" are only used for descriptive purposes and should not be understood as indicating or implying relative importance. In addition, unless otherwise expressly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, an indirect connection through an intermediate medium, or it can be internal communication between two components. For those of ordinary skill in the art, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0056] Figure 1 is a schematic diagram of a microgrid energy storage system dispatching and allocation management device according to an exemplary embodiment of the present application, and Figure 2 is a schematic diagram of a microgrid energy storage system dispatching and allocation process according to an exemplary embodiment of the present application. The microgrid energy storage system dispatching and allocation management device can also be referred to as a microgrid energy storage system dispatching and allocation management platform. As shown in Figures 1 and 2, the device includes a task processing module, a power consumption detection module, a big data module, a mode selection module, a comparison module, and a fault management module.

[0057] The task processing module is used to execute the tasks assigned by the scheduler;

[0058] The big data module is used to collect data generated by executing the scheduled tasks, process and analyze them, and generate analysis results;

[0059] The selection mode module is used to allocate power storage and power supply in different time periods in each of at least one area powered by the microgrid energy storage system according to the analysis results;

[0060] The power consumption detection module is used to detect the power consumption of at least one area after allocation and generate a power consumption detection result;

[0061] The comparison module includes a mode power consumption comparison unit, a regional power consumption comparison unit and an annual power consumption comparison unit. The mode power consumption comparison unit is used to compare the power consumption of different modes at the same time according to the power consumption detection results. The regional power consumption comparison unit is used to compare the power consumption of different regions at the same time according to the power consumption detection results. The annual power consumption comparison unit is used to compare the power consumption at different times of the year according to the power consumption detection results.

[0062] The fault management module is used to detect and handle faults in the microgrid energy storage system.

[0063] Exemplarily, the tasks include target charge amount, target discharge amount, and target output of equipment in a microgrid energy storage system, where the equipment includes energy storage equipment, photovoltaic equipment, wind power equipment, and the like.

[0064] In the above-described example of the present application, after the task processing module executes the dispatched task, the dispatch and allocation management device of the microgrid energy storage system collects the data generated by the dispatched task through the big data module, processes and analyzes it, and generates analysis results, thereby recording and analyzing the power characteristic data. This allows the mode selection module to accurately allocate power storage and power supply for different time periods in each of at least one area powered by the microgrid energy storage system based on the analysis results. The power consumption detection module detects the power consumption of at least one area after allocation and generates a power consumption detection result. The comparison module then compares the power consumption of different modes at the same time, the power consumption of different regions at the same time, and the power consumption of different years based on the power consumption detection results. This allows staff to analyze subsequent mode share allocations, significantly reducing subsequent error rates, achieving target values ​​more quickly, and better adapting to actual power demand. Furthermore, the power supply management module detects faults in the microgrid energy storage system, preventing the inability to promptly address faults in the microgrid energy storage system.

[0065] In a feasible design, as shown in FIG1 , the microgrid energy storage system uses a scheduling and allocation management device, which also includes an energy management module;

[0066] As shown in Figure 3, the energy management module includes a real-time data monitoring unit, an equipment status monitoring unit, and a photovoltaic monitoring and prediction unit;

[0067] The real-time data monitoring unit is used to count the power generation power of power generation equipment, the total power of power consumption equipment and the energy storage charging and discharging power in real time in the microgrid energy storage system;

[0068] The equipment status monitoring unit is used to monitor the operating status of each device in the microgrid energy storage system in real time;

[0069] The photovoltaic monitoring and prediction unit is used to collect statistics on the power generation and power of the microgrid energy storage system, energy conservation and emission reduction, as well as to predict weather forecasts and photovoltaic power generation.

[0070] In the above example, the real-time data monitoring unit, device status monitoring unit, and photovoltaic monitoring and prediction unit in the energy management module provide real-time statistics on the microgrid energy storage system, including the generated power of power generation equipment, the total power of power consumption equipment, and the energy storage charging and discharging power. This system monitors the operating status of each device in the microgrid energy storage system in real time, collects statistics on the system's power generation and power, and energy conservation and emission reduction, and provides weather forecasts and photovoltaic power generation predictions. This improves the monitoring and prediction capabilities of the dispatching and allocation management device for the microgrid energy storage system.

[0071] In a feasible design, as shown in FIG3 , the energy management module further includes a load monitoring and prediction unit, an energy storage monitoring unit, and an environment monitoring unit;

[0072] The load monitoring and prediction unit is used to determine the time-of-use power consumption within a selected time period based on the total load power curve of the microgrid energy storage system and the power curve of important loads;

[0073] The energy storage monitoring unit is used to determine the daily energy storage SOC time-sharing charge and discharge amount based on the daily energy storage power curve of the microgrid energy storage system, and to determine the daily energy storage time-sharing charge and discharge amount based on the charge and discharge power curve and real-time status of each group of energy storage batteries.

[0074] In the above example, the load monitoring and prediction unit monitors the total load power curve, the power curve of important loads, and the time-of-use power consumption within the microgrid energy storage system during the selected time period. The energy storage monitoring unit monitors the microgrid energy storage system's daily energy storage power curve, the daily energy storage SOC charge and discharge volume by time period, the charge and discharge power curve and real-time status of each group of energy storage batteries, and the daily energy storage time-of-use charge and discharge volume. This further improves the monitoring function of the energy management module and strengthens the detection and management of the microgrid's storage energy, etc.

[0075] Exemplarily, the energy management module also includes an environmental monitoring unit for monitoring the temperature, humidity, and fire alarm signals in the energy storage cabinet in the microgrid energy storage system, and controlling the equipment in the microgrid energy storage system.

[0076] In the above example, by monitoring the temperature, humidity, and fire alarm signals within the energy storage cabinets in the microgrid energy storage system and controlling related equipment, damage to the energy storage equipment caused by environmental factors is avoided, reducing safety risks of the energy storage equipment in the microgrid energy storage system.

[0077] In a feasible design, as shown in FIG4 , the task processing module includes a task setting unit, a task analysis unit, and a task execution unit. The task processing module is used to execute the scheduled tasks, including:

[0078] The task setting unit is used to schedule and allocate tasks to the devices in the microgrid energy storage system;

[0079] The task analysis unit is used to analyze the tasks assigned to the equipment in the microgrid energy storage system and generate analysis results;

[0080] The task execution unit is used to determine whether the equipment in the microgrid energy storage system executes the corresponding task based on the analysis results.

[0081] Exemplarily, the scheduling and allocation of tasks includes determining a target output that the device needs to provide, and / or a target charge amount and a target discharge amount that the device needs to achieve.

[0082] Exemplarily, if the task execution unit determines that the device in the microgrid energy storage system performs the corresponding task, it triggers the device to perform the task; if it determines that the device in the microgrid energy storage system does not perform the corresponding task, it triggers the task setting unit to re-schedule the task for the device.

[0083] In the above example, after the task setting unit schedules and assigns tasks to the devices in the microgrid energy storage system, the task analysis unit analyzes the assigned tasks based on data such as the factory parameters of each device. The task execution unit determines whether the device is capable of executing the assigned task based on the analysis results, avoiding delays caused by assigning tasks to devices that exceed their capabilities.

[0084] In a feasible design, as shown in FIG5 , the power consumption detection module includes a time period power consumption detection unit, a daily power consumption detection unit, a monthly power consumption detection unit, and a yearly power consumption detection unit. The power consumption detection module is used to detect the power consumption of at least one area after allocation, including:

[0085] The time period power consumption detection unit is used to detect the power consumption of at least one area after allocation in a preset time period;

[0086] The current day power consumption detection unit is used to detect the current day power consumption of at least one area after allocation;

[0087] The monthly electricity consumption detection unit is used to detect the electricity consumption of at least one allocated area in the current month;

[0088] The current year electricity consumption detection unit is used to detect the current year electricity consumption of at least one allocated area.

[0089] In the above example, the power consumption detection module can detect the power consumption of each area in different time spans through the time period power consumption detection unit, the day power consumption detection unit, the month power consumption detection unit and the year power consumption detection unit, so as to facilitate the subsequent analysis of power consumption data in different time spans.

[0090] In a feasible design, as shown in FIG6 , the big data module includes a visualization unit, a data acquisition unit, a data processing unit, and a data analysis unit. The big data module is used to collect data generated by executing the scheduled tasks, and process and analyze the data to generate analysis results, including:

[0091] The data acquisition unit is used to collect data generated by the energy data management module, the task processing module and the fault management module based on big data statistics;

[0092] The data processing unit is used to process the collected data so that the visualization unit can generate a table or a graph based on the collected data;

[0093] The data analysis unit is used to analyze the data according to tables or graphs and generate analysis results.

[0094] Exemplarily, the data generated by the energy data management module includes NWP data of the wind farm, and the NWP data includes air pressure, temperature, wind speed and wind direction.

[0095] In the above example, the big data module processes and analyzes the data collected by the device, visualizes the processed and analyzed data, and forms the data into tables or graphs to facilitate subsequent analysis.

[0096] In a feasible design, as shown in FIG7 , the selection mode module includes a normal mode, an off-peak mode, a peak mode, and a regional unit. The normal mode is used to evenly distribute the power supply and storage of each area in at least one area of ​​the microgrid energy storage system during normal times. The off-peak mode is used to distribute the storage and power supply of each area during off-peak times. The peak mode is used to distribute the power supply and storage of each area during peak times. The regional unit is used to divide each area into normal times, off-peak times, and peak times. The selection mode module is used to distribute the storage and power supply of each area in different time periods in at least one area powered by the microgrid energy storage system according to the analysis results, including:

[0097] The mode selection module is used to select a target mode for power storage and power supply in different time periods for each of at least one area powered by the microgrid energy storage system based on the analysis results, where the target mode is one of a normal mode, an off-peak mode, and a peak mode;

[0098] The power storage and supply are allocated to each area in the corresponding time period based on the target mode.

[0099] In the above example, the regional unit can flexibly divide the normal time, off-peak time and peak time of each region. The mode selection module realizes the reasonable allocation of power storage and power supply in each region by switching between the normal mode, off-peak mode and peak mode.

[0100] The schematic diagram of the comparison module is shown in FIG8 . In a feasible design, based on the above three modes, the mode power consumption comparison unit of the comparison module is used to compare the power consumption of the same time in different modes according to the power consumption detection results, including:

[0101] The mode power consumption comparison unit is used to determine the power consumption of each area at the same time when using the normal mode, the off-peak mode and the peak mode respectively according to the power consumption detection result;

[0102] The mode power consumption comparison unit is used to compare the power consumption of each area at the same time when the normal mode, off-peak mode and peak mode are used respectively.

[0103] In the above example, by comparing the mode electricity consumption unit, regional electricity consumption unit and annual electricity consumption unit in the module, we can know the comparison of electricity distribution in the three sets, which is used by staff to analyze the subsequent mode proportion distribution.

[0104] In a feasible design, as shown in FIG9 , the fault management module includes a fault detection unit and a fault processing unit. The fault management module is used to detect and process faults generated in the microgrid energy storage system, including:

[0105] The fault detection unit is used to detect over-temperature equipment and fire extinguishing devices in the microgrid energy storage system;

[0106] The fault handling unit is used to control the fire extinguishing device to extinguish the fire if the equipment with too high temperature catches fire.

[0107] In the above example, the fault management module, through the fault detection unit and the fault handling unit, can promptly detect overheated equipment and nearby fire extinguishing devices in the microgrid energy storage system, and control the fire extinguishing devices to extinguish the fire in the equipment, thus achieving timely fault handling.

[0108] The basic principles of the present application have been described above in conjunction with specific embodiments. However, it should be noted that the advantages, strengths, and effects mentioned in this application are merely illustrative and not restrictive, and it should not be assumed that these advantages, strengths, and effects are required of each embodiment of this application. In addition, the specific details disclosed above are merely illustrative and facilitating understanding, and are not restrictive. The above details do not limit this application to necessarily being implemented using the above specific details.

[0109] It should be understood that although the steps in the flowcharts of the accompanying drawings are shown in sequence as indicated by the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some of the steps in the flowcharts of the accompanying drawings may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be executed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.

[0110] The block diagrams of the devices, devices, equipment, and systems involved in this application are merely illustrative examples and are not intended to require or imply that they must be connected, arranged, or configured in the manner shown in the block diagrams. As will be appreciated by those skilled in the art, these devices, devices, equipment, and systems can be connected, arranged, or configured in any manner. Words such as "include," "comprise," "have," and the like are open-ended words, meaning "including but not limited to," and can be used interchangeably therewith. The words "or" and "and" used herein refer to the words "and / or" and can be used interchangeably therewith, unless the context clearly indicates otherwise. The word "such as" used herein refers to the phrase "such as but not limited to," and can be used interchangeably therewith.

[0111] It should also be noted that in the apparatus, device, and method of the present application, each component or each step can be decomposed and / or recombined, and such decomposition and / or recombination should be regarded as equivalent solutions of the present application.

[0112] The above description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present application. Various modifications to these aspects will be readily apparent to those skilled in the art, and the general principles defined herein may be applied to other aspects without departing from the scope of the present application. Therefore, the present application is not intended to be limited to the aspects shown herein, but rather to be accorded the widest scope consistent with the principles and novel features disclosed herein.

[0113] The above description has been provided for the purpose of illustration and description. Furthermore, this description is not intended to limit the embodiments of the present application to the forms disclosed herein. Although a number of example aspects and embodiments have been discussed above, those skilled in the art will recognize certain variations, modifications, alterations, additions, and sub-combinations thereof.

Claims

1. A dispatching and allocation management device for a microgrid energy storage system, characterized in that: It includes task processing module, power consumption detection module, big data module, mode selection module, comparison module and fault management module; The task processing module is used to execute the tasks assigned by the scheduling; The big data module is used to collect data generated by executing the scheduled tasks, and process and analyze them to generate analysis results; The selection mode module is used to allocate power storage and power supply in different time periods for each of at least one area powered by the microgrid energy storage system according to the analysis result; The power consumption detection module is used to detect the power consumption of the at least one area after the allocation, and generate a power consumption detection result; The comparison module includes a mode power consumption comparison unit, a regional power consumption comparison unit and an annual power consumption comparison unit. The mode power consumption comparison unit is used to compare the power consumption of different modes at the same time according to the power consumption detection result. The regional power consumption comparison unit is used to compare the power consumption of different regions at the same time according to the power consumption detection result. The annual power consumption comparison unit is used to compare the power consumption at different times of the year according to the power consumption detection result. The fault management module is used to detect and process faults generated in the microgrid energy storage system.

2. The dispatching and allocation management device for a microgrid energy storage system according to claim 1, characterized in that: Also included is an energy management module; The energy management module includes a real-time data monitoring unit, an equipment status monitoring unit, and a photovoltaic monitoring and prediction unit; The real-time data monitoring unit is used to count the operating status, power generation power, total power of power-consuming equipment and energy storage charging and discharging power of the power generation equipment in the microgrid energy storage system in real time; The device status monitoring unit is used to monitor the operating status of each device in the microgrid energy storage system in real time; The photovoltaic monitoring and prediction unit is used to collect statistics on the power generation and power conditions, energy conservation and emission reduction conditions of the microgrid energy storage system, and to predict weather forecasts and photovoltaic power generation power.

3. The dispatching and allocation management device for a microgrid energy storage system according to claim 2, characterized in that: The energy management module also includes a load monitoring and prediction unit and an energy storage monitoring unit; The load monitoring and prediction unit is used to determine the time-sharing power consumption within a selected time period according to the total load power curve of the microgrid energy storage system and the power curve of the important load; The energy storage monitoring unit is used to determine the current day's energy storage SOC time-divided charge and discharge amount according to the current day's energy storage power curve of the microgrid energy storage system, and to determine the current day's energy storage time-divided charge and discharge amount according to the charge and discharge power curve and real-time status of each group of energy storage batteries.

4. The dispatching and allocation management device for a microgrid energy storage system according to any one of claims 1 to 3, characterized in that: The task processing module includes a task setting unit, a task analysis unit and a task execution unit. The task processing module is used to execute the scheduled assigned tasks, including: The task setting unit is used to schedule and allocate tasks to devices in the microgrid energy storage system; The task analysis unit is used to analyze the tasks assigned to the devices in the microgrid energy storage system and generate analysis results; The task execution unit is used to determine whether the equipment in the microgrid energy storage system executes the corresponding task according to the analysis result.

5. The dispatching and allocation management device for a microgrid energy storage system according to any one of claims 1 to 3, characterized in that: The power consumption detection module includes a time period power consumption detection unit, a day power consumption detection unit, a month power consumption detection unit, and a year power consumption detection unit, and the power consumption detection module is used to detect the power consumption of the at least one area after the allocation, including: The time period power consumption detection unit is used to detect the power consumption of the at least one area in a preset time period after the allocation; The current day power consumption detection unit is used to detect the power consumption of the at least one area after the allocation on the current day; The monthly power consumption detection unit is used to detect the power consumption of the at least one area in the month after the allocation; The current year electricity consumption detection unit is used to detect the current year electricity consumption of the at least one area after the allocation.

6. The dispatching and allocation management device for a microgrid energy storage system according to claim 2 or 3, characterized in that: The big data module includes a visualization unit, a data collection unit, a data processing unit and a data analysis unit. The big data module is used to collect data generated by executing the tasks assigned by the scheduling, and process and analyze the data to generate analysis results, including: The data acquisition unit is used to collect data generated by the energy data management module, data generated by the task processing module and data generated by the fault management module based on big data statistics; The data processing unit is used to process the collected data so that the visualization unit is used to generate a table or a graph according to the collected data; The data analysis unit is used to analyze the data according to the table or the curve chart to generate an analysis result.

7. The dispatching and allocation management device for a microgrid energy storage system according to any one of claims 1 to 3, characterized in that: The selection mode module includes a normal mode, a valley mode, a peak mode and a regional unit. The normal mode is used to evenly distribute the power supply and power storage of each of the at least one area of ​​the microgrid energy storage system in normal times. The valley mode is used to distribute the power storage and power supply of each of the areas in valley times. The peak mode is used to distribute the power supply and power storage of each of the areas in peak times. The regional unit is used to divide the normal time, valley time and peak time of each area. The selection mode module is used to distribute the power storage and power supply of each of the at least one area powered by the microgrid energy storage system in different time periods according to the analysis results, including: The mode selection module is used to select a target mode for power storage and power supply in different time periods for each of at least one area powered by the microgrid energy storage system according to the analysis result, wherein the target mode is one of the normal mode, the valley mode and the peak mode; The power storage and power supply for each of the areas are allocated in corresponding time periods based on the target mode.

8. The dispatching and allocation management device for a microgrid energy storage system according to claim 7, characterized in that: The mode power consumption comparison unit is used to compare the power consumption of different modes at the same time according to the power consumption detection result, including: The mode power consumption comparison unit is used to determine the power consumption of each area at the same time when the normal mode, the off-peak mode and the peak mode are respectively used according to the power consumption detection result; The mode power consumption comparison unit is used to compare the power consumption of each area at the same time when the normal mode, the off-peak mode and the peak mode are respectively used.

9. The dispatching and allocation management device for a microgrid energy storage system according to any one of claims 1 to 3, characterized in that: The fault management module includes a fault detection unit and a fault processing unit. The fault management module is used to detect and process faults generated in the microgrid energy storage system, including: The fault detection unit is used to detect equipment and fire extinguishing devices with over-high temperatures in the microgrid energy storage system; The fault processing unit is used to control the fire extinguishing device to extinguish the fire of the equipment if the equipment with too high temperature catches fire.

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