Energy storage system and its energy optimization management method based on distributed extremum search algorithm

Abstract

The invention belonging to the energy optimization field of the energy storage system relates to a distributed-extreme-value-search-algorithm-based energy storage system and an energy optimization management method thereof. The method comprises: operating state information of a current energy storage unit and an adjacent energy storage unit are detected; on the basis of the operating state information, whether power generated by a distributed power generating unit meets the need of a load is determined; if so, whether an energy storage system needs to be charged or a distributed power supply provides power for a large grid is determined intelligently based on an economic dispatch requirement; if not, whether the energy storage system needs to be discharged or the load purchases power fromthe large grid is determined intelligently based on an economic dispatch requirement; if the charging or discharging of the energy storage units is selected, a distributed extreme value search algorithm is used for control an execution unit; whether the charge quantities of the energy storage units meet an expected standard is determined; if so, the operation is completed; and if not, the controller is used continuously to carry out optimized controlling. Therefore, the input and output of the energy storage system are controlled in real time; stability of the system is ensured; and the energylosses are reduced effectively.

Description

technical field [0001] The invention belongs to the field of energy optimization of energy storage systems, and relates to an energy storage system based on a distributed extremum search algorithm and an energy optimization management method thereof. Background technique [0002] With the continuous growth of energy demand and the increasing pressure of environmental protection, a large number of grid-connected distributed power generation has brought a non-negligible impact on the power grid, and the increase in the peak-to-valley load difference of the power grid has seriously affected the security and economy of the power grid. . The integration of energy storage systems provides a new way to solve these problems. The energy storage system can effectively realize demand-side management, eliminate the difference between day and night peaks and valleys, smooth loads, improve the utilization rate of power equipment, reduce power supply costs, and improve the ability to abso...

AI Technical Summary

Problems solved by technology

[0003] Some existing technical solutions need to use the objective function and the gradient of the objective function to achieve optimal control, such as: distributed gradient algorithm, etc.; some require too much time to achieve the optimal goal, such as: enumeration method, etc.

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