Renewable energy storage management distribution optimization scheduling method and system

Abstract

The invention belongs to the field of renewable energy source distribution optimization scheduling, particularly relates to an energy storage management distribution optimization scheduling method and system for renewable energy sources, and provides a scheme for solving the problems that energy storage management distribution of the renewable energy sources is inconvenient to optimize, a scheduling scheme cannot be changed in time and the distribution effect is influenced in the prior art. Comprising the following steps: S1, establishing an energy storage management distribution optimization scheduling system, the energy storage management distribution optimization scheduling system comprises an energy consumption historical data acquisition module, a data analysis module, an energy quota making module, an energy distribution scheduling module, an energy monitoring module, a data extraction module, a distribution optimization module, an opinion acquisition module, an energy exchange platform, an identity login module, an energy storage acquisition module and a monitoring period setting module. According to the invention, the energy storage management distribution of renewable energy sources can be optimized conveniently, the scheduling scheme can be changed in time, and the scheduling effect is better.

Description

Technical Field

[0001] The present invention relates to the technical field of renewable energy distribution optimization scheduling, and in particular to a method and system for optimizing the energy storage management and distribution of renewable energy. Background Art

[0002] Renewable energy (English: Renewable Energy) refers to non-fossil energy such as wind energy, solar energy, hydropower, biomass energy, geothermal energy, and ocean energy. It is an inexhaustible energy source. Compared with non-renewable energy sources that will be exhausted, it is harmless or has minimal harm to the environment. In addition, the resources are widely distributed and suitable for local development and utilization. The storage management and allocation of renewable energy is particularly important. Through reasonable scheduling and management of energy use, the energy utilization efficiency can be maximized.

[0003] In the existing technology, it is not convenient to optimize the energy storage management and allocation of renewable energy, and the scheduling plan cannot be changed in time, which affects the allocation effect. Therefore, we propose a method and system for optimizing the scheduling of energy storage management and allocation of renewable energy to solve the above problems. Summary of the invention

[0004] The purpose of the present invention is to solve the shortcomings in the prior art that it is inconvenient to optimize the energy storage management and allocation of renewable energy, the scheduling plan cannot be changed in time, and the allocation effect is affected, and a method and system for optimizing the scheduling of energy storage management and allocation of renewable energy are proposed.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] A method for optimizing the energy storage management and distribution of renewable energy comprises the following steps:

[0007] S1. Build an energy storage management allocation optimization scheduling system, which includes an energy consumption history data collection module, a data analysis module, an energy quota formulation module, an energy distribution scheduling module, an energy monitoring module, a data extraction module, an allocation optimization module, an opinion collection module, an energy exchange platform, an identity login module, an energy storage collection module, and a monitoring cycle setting module;

[0008] S2. Collect historical usage data of renewable energy in different regions through the energy consumption historical data collection module;

[0009] S3. Analyze the collected data through the data analysis module to obtain the average monthly renewable energy usage in different regions;

[0010] S4. The energy quota formulation module formulates the quota of renewable energy in different regions according to the average value, and the energy allocation and scheduling module distributes energy according to the formulated quota;

[0011] S5. The subsequent energy usage in different regions is monitored through the energy monitoring module, the monitoring data is extracted through the data extraction module, the allocation optimization module optimizes and adjusts the quota according to the subsequent usage data, and the energy allocation scheduling module uses the optimized and adjusted quota to perform energy allocation.

[0012] Preferably, the identity login module is used for users to authenticate and log in. After logging in, they express their opinions on energy distribution on the energy exchange platform. The opinions expressed are collected through the opinion collection module, and the allocation optimization module optimizes and adjusts the quota based on subsequent usage data and the collected opinions.

[0013] Preferably, the energy storage collection module collects the reserves of renewable energy and transmits the collected data to the energy distribution and scheduling module.

[0014] Preferably, the monitoring period setting module is used to set the monitoring period of the energy monitoring module. After the monitoring period is set, the data extraction module extracts the data monitored by the energy monitoring module after the set monitoring period is reached.

[0015] The present invention also proposes a renewable energy energy storage management, distribution and optimization scheduling system, including an energy consumption history data collection module, a data analysis module, an energy quota formulation module, an energy distribution scheduling module, an energy monitoring module, a data extraction module, a distribution optimization module, an opinion collection module, an energy exchange platform, an identity login module, an energy storage collection module, and a monitoring period setting module. The energy consumption history data collection module is connected to the data analysis module, the data analysis module is connected to the energy quota formulation module, the energy quota formulation module is connected to the energy distribution scheduling module, the energy distribution scheduling module is connected to the energy monitoring module, the energy monitoring module is connected to the data extraction module, the data extraction module is connected to the distribution optimization module, the energy storage collection module is connected to the energy distribution scheduling module, the monitoring period setting module is connected to the energy monitoring module, the identity login module is connected to the energy exchange platform, the energy exchange platform is connected to the opinion collection module, and the opinion collection module is connected to the distribution optimization module.

[0016] Preferably, the monitoring cycle setting module includes an identity authentication unit, the identity authentication unit is connected to a monitoring cycle input unit, the monitoring cycle input unit is connected to a cycle confirmation unit, and the cycle confirmation unit is connected to a transmission unit.

[0017] Preferably, the allocation optimization module includes a periodic energy consumption unit, the periodic energy consumption unit is connected to an opinion receiving unit, the opinion receiving unit is connected to a comprehensive analysis unit, and the comprehensive analysis unit is connected to the allocation optimization unit.

[0018] Preferably, the energy consumption history data collection module includes a network query unit, the network query unit is connected to the on-site inquiry unit, the on-site inquiry unit is connected to the data collection unit, and the data collection unit is connected to the classification recording unit.

[0019] Preferably, the opinion collection module comprises an opinion collection unit, the opinion collection unit is connected to a classification and statistics unit, the classification and statistics unit is connected to a descending order sorting unit, and the descending order sorting unit is connected to an opinion sending unit.

[0020] In the present invention, the method and system for optimizing the scheduling of energy storage management and allocation of renewable energy have the following beneficial effects:

[0021] The energy consumption history data collection module collects historical usage data of renewable energy in different regions; the data analysis module analyzes the collected data to obtain the average monthly usage of renewable energy in different regions; the energy quota formulation module formulates the quota of renewable energy in different regions based on the average, and the energy allocation and scheduling module allocates energy based on the formulated quota;

[0022] The energy monitoring module monitors the subsequent energy usage in different regions, and the data extraction module extracts the monitoring data. The allocation optimization module optimizes and adjusts the quota according to the subsequent usage data. The energy allocation scheduling module uses the optimized and adjusted quota to distribute energy.

[0023] The present invention facilitates optimization of energy storage management and allocation of renewable energy, and the scheduling scheme can be changed in time, resulting in better scheduling effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 This is a principle block diagram of a renewable energy energy storage management, distribution and optimization scheduling system proposed by the present invention;

[0025] Figure 2 A block diagram of a monitoring cycle setting module of a renewable energy energy storage management, distribution and optimization scheduling system proposed by the present invention;

[0026] Figure 3 A block diagram of a distribution optimization module of a renewable energy energy storage management distribution optimization scheduling system proposed by the present invention;

[0027] Figure 4 A block diagram of an energy consumption history data acquisition module of a renewable energy energy storage management, allocation and optimization scheduling system proposed by the present invention;

[0028] Figure 5 This is a block diagram of an opinion collection module of a renewable energy energy storage management, allocation and optimization scheduling system proposed by the present invention. DETAILED DESCRIPTION

[0029] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0030] Embodiment 1

[0031] A method for optimizing the energy storage management and distribution of renewable energy comprises the following steps:

[0032] S1. Build an energy storage management allocation optimization scheduling system, which includes an energy consumption history data collection module, a data analysis module, an energy quota formulation module, an energy distribution scheduling module, an energy monitoring module, a data extraction module, an allocation optimization module, an opinion collection module, an energy exchange platform, an identity login module, an energy storage collection module, and a monitoring cycle setting module;

[0033] S2. Collect historical usage data of renewable energy in different regions through the energy consumption historical data collection module;

[0034] S3. Analyze the collected data through the data analysis module to obtain the average monthly renewable energy usage in different regions;

[0035] S4. The energy quota formulation module formulates the quota of renewable energy in different regions according to the average value, and the energy allocation and scheduling module distributes energy according to the formulated quota;

[0036] S5. The subsequent energy usage in different regions is monitored through the energy monitoring module, the monitoring data is extracted through the data extraction module, the allocation optimization module optimizes and adjusts the quota according to the subsequent usage data, and the energy allocation scheduling module uses the optimized and adjusted quota to perform energy allocation.

[0037] In this embodiment, the identity login module is used for users to authenticate and log in. After logging in, they express their opinions on energy allocation on the energy exchange platform. The opinions expressed are collected through the opinion collection module. The allocation optimization module optimizes and adjusts the quota based on the subsequent usage data and the collected opinions.

[0038] In this embodiment, the energy storage collection module collects the reserves of renewable energy and transmits the collected data to the energy distribution and scheduling module.

[0039] In this embodiment, the monitoring cycle setting module is used to set the monitoring cycle of the energy monitoring module. After the monitoring cycle is set, the data extraction module extracts the data monitored by the energy monitoring module after the set monitoring cycle is reached.

[0040] Reference Figure 1-Figure 5 This embodiment also proposes a renewable energy energy storage management, distribution and optimization scheduling system, including an energy consumption history data collection module, a data analysis module, an energy quota formulation module, an energy distribution scheduling module, an energy monitoring module, a data extraction module, a distribution optimization module, an opinion collection module, an energy exchange platform, an identity login module, an energy storage collection module, and a monitoring period setting module. The energy consumption history data collection module is connected to the data analysis module, the data analysis module is connected to the energy quota formulation module, the energy quota formulation module is connected to the energy distribution scheduling module, the energy distribution scheduling module is connected to the energy monitoring module, the energy monitoring module is connected to the data extraction module, the data extraction module is connected to the distribution optimization module, the energy storage collection module is connected to the energy distribution scheduling module, the monitoring period setting module is connected to the energy monitoring module, the identity login module is connected to the energy exchange platform, the energy exchange platform is connected to the opinion collection module, and the opinion collection module is connected to the distribution optimization module.

[0041] In this embodiment, the monitoring cycle setting module includes an identity authentication unit, the identity authentication unit is connected to a monitoring cycle input unit, the monitoring cycle input unit is connected to a cycle confirmation unit, and the cycle confirmation unit is connected to a transmission unit.

[0042] In this embodiment, the allocation optimization module includes a periodic energy consumption unit, the periodic energy consumption unit is connected to the opinion receiving unit, the opinion receiving unit is connected to the comprehensive analysis unit, and the comprehensive analysis unit is connected to the allocation optimization unit.

[0043] In this embodiment, the energy consumption history data collection module includes a network query unit, the network query unit is connected to the on-site inquiry unit, the on-site inquiry unit is connected to the data collection unit, and the data collection unit is connected to the classification recording unit.

[0044] In this embodiment, the opinion collection module includes an opinion collection unit, the opinion collection unit is connected to a classification and statistics unit, the classification and statistics unit is connected to a descending sorting unit, and the descending sorting unit is connected to an opinion sending unit.

[0045] Embodiment 2

[0046] The difference between this embodiment and the first embodiment is that: a system for optimizing the energy storage management, distribution and scheduling of renewable energy includes an energy consumption history data collection module, a data analysis module, an energy quota formulation module, an energy distribution scheduling module, an energy monitoring module, a data extraction module, a distribution optimization module, an opinion collection module, an energy exchange platform, an identity login module, an energy storage collection module, a monitoring period setting module, and a proportional adjustment module. The energy consumption history data collection module is connected to the data analysis module, the data analysis module is connected to the energy quota formulation module, the energy quota formulation module is connected to the energy distribution scheduling module, the energy distribution scheduling module is connected to the energy monitoring module, the energy monitoring module is connected to the data extraction module, the data extraction module is connected to the distribution optimization module, the energy storage collection module is connected to the energy distribution scheduling module, the monitoring period setting module is connected to the energy monitoring module, the identity login module is connected to the energy exchange platform, the energy exchange platform is connected to the opinion collection module, the opinion collection module is connected to the distribution optimization module, the proportional adjustment module is connected to the energy distribution scheduling module, and when the storage energy collected by the energy storage collection module cannot meet the quota, the proportional adjustment module adjusts the quota according to the quota ratio.

[0047] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A method for optimizing the energy storage management and allocation of renewable energy, characterized in that: The following steps are involved: S1. Build an energy storage management allocation optimization scheduling system, which includes an energy consumption history data collection module, a data analysis module, an energy quota formulation module, an energy distribution scheduling module, an energy monitoring module, a data extraction module, an allocation optimization module, an opinion collection module, an energy exchange platform, an identity login module, an energy storage collection module, and a monitoring cycle setting module; S2. Collect historical usage data of renewable energy in different regions through the energy consumption historical data collection module; S3. Analyze the collected data through the data analysis module to obtain the average monthly renewable energy usage in different regions; S4. The energy quota formulation module formulates the quota of renewable energy in different regions according to the average value, and the energy allocation and scheduling module distributes energy according to the formulated quota; S5. The energy monitoring module is used to monitor the subsequent energy usage in different regions, and the data extraction module is used to extract the monitoring data. The allocation optimization module optimizes and adjusts the quota according to the subsequent usage data, and the energy allocation and scheduling module uses the optimized and adjusted quota to perform energy allocation.

2. The method for optimizing the energy storage management and allocation of renewable energy according to claim 1, characterized in that: The identity login module is used for users to authenticate and log in. After logging in, they can publish opinions on energy allocation on the energy exchange platform. The opinions published are collected through the opinion collection module. The allocation optimization module optimizes and adjusts the quota based on the subsequent usage data and the collected opinions.

3. The method for optimizing the energy storage management and allocation of renewable energy according to claim 2, characterized in that: The energy storage acquisition module acquires the storage of renewable energy and transmits the acquired data to the energy distribution and scheduling module.

4. The method for optimizing the energy storage management and allocation of renewable energy according to claim 3, characterized in that: The monitoring cycle setting module is used to set the monitoring cycle of the energy monitoring module. After the monitoring cycle is set, the data extraction module extracts the data monitored by the energy monitoring module after the set monitoring cycle is reached.

5. A renewable energy energy storage management, distribution and optimization scheduling system, characterized in that: It includes the energy consumption historical data collection module, data analysis module, energy quota formulation module, energy distribution and scheduling module, energy monitoring module, data extraction module, distribution optimization module, opinion collection module, energy exchange platform, identity login module, energy storage collection module, and monitoring period setting module as described in any one of claims 1 to 4, the energy consumption historical data collection module is connected to the data analysis module, the data analysis module is connected to the energy quota formulation module, the energy quota formulation module is connected to the energy distribution and scheduling module, the energy distribution and scheduling module is connected to the energy monitoring module, the energy monitoring module is connected to the data extraction module, the data extraction module is connected to the distribution optimization module, the energy storage collection module is connected to the energy distribution and scheduling module, the monitoring period setting module is connected to the energy monitoring module, the identity login module is connected to the energy exchange platform, the energy exchange platform is connected to the opinion collection module, and the opinion collection module is connected to the distribution optimization module.

6. The energy storage management, distribution and optimization scheduling system of renewable energy according to claim 5, characterized in that: The monitoring cycle setting module comprises an identity authentication unit, the identity authentication unit is connected to a monitoring cycle input unit, the monitoring cycle input unit is connected to a cycle confirmation unit, and the cycle confirmation unit is connected to a transmission unit.

7. The energy storage management, distribution and optimization scheduling system of renewable energy according to claim 6, characterized in that: The allocation optimization module includes a periodic energy consumption unit, the periodic energy consumption unit is connected to an opinion receiving unit, the opinion receiving unit is connected to a comprehensive analysis unit, and the comprehensive analysis unit is connected to an allocation optimization unit.

8. The energy storage management, distribution and optimization scheduling system of renewable energy according to claim 7, characterized in that: The energy consumption history data collection module comprises a network query unit, the network query unit is connected to an on-site inquiry unit, the on-site inquiry unit is connected to a data collection unit, and the data collection unit is connected to a classification recording unit.

9. The energy storage management, distribution and optimization scheduling system of renewable energy according to claim 8, characterized in that: The opinion collection module comprises an opinion collection unit, the opinion collection unit is connected to a classification and statistics unit, the classification and statistics unit is connected to a descending order sorting unit, and the descending order sorting unit is connected to an opinion sending unit.

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