A distributed collaborative optimization charging method for energy storage system based on island microgrid

Abstract

The invention discloses a distributed collaborative optimization charging method of an island microgrid energy storage system, comprising the following steps: S100, establishing an optimization charging model of the energy storage system; S200, a collaborative optimization strategy based on the consistency algorithm is established, and the renewable energy utilization efficiency is improved by controlling the output of the renewable power supply in the MPPT mode; Considering the charging efficiency in the optimization objective function, a distributed control algorithm for the energy storage system is proposed to minimize the active power loss related to the charging efficiency and maintain the balance of the active power demand. By using the distributed algorithm based on consistency algorithm, the convergence speed of the problem is accelerated, the privacy security of each cluster is improved, the communication volume of the system is reduced, and the real-time power balance is realized while the economy of the system is ensured and the social welfare is maximized.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of charging an island microgrid energy storage system, and in particular to a distributed collaborative optimization charging method for an island microgrid energy storage system. Background technique [0002] In recent years, with the integration of large-scale distributed wind, light and other renewable power sources into the power system, more and more issues about wind and light energy consumption have been studied. Due to the intermittent and fluctuating nature of wind, light and other renewable power sources The characteristic of permanent output has seriously challenged the power balance constraint under the traditional power grid operation method, which has led to a huge phenomenon of curtailment of wind and light. The access of energy storage systems can effectively mediate the intermittency and Volatility, in order to improve the efficiency of renewable energy power generation...

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Problems solved by technology

[0003] In the case of large-scale distributed renewable energy connected to the grid, although some research has been carried out on the charging and discharging strategy of the energy storage system, the renewable energy is always in the MPPT mode and the power balance is guaranteed in the microgrid island operation mode. The charging and discharging strategy of the energy storage system in terms of constraints has not been fully studied, which brings challenges to the existing charging and discharging mode of the energy storage system, including the implementation of real-time active charging and discharging control for the randomness of renewable energy generation and load strategy to improve the robustness of the control

[0004] Moreover, the charging and discharging efficiency of the energy storage system is fluctuating, which is related to the charging power. A large amount of communication, and distributed algorithms have the advantage of only requiring local information, so distributed algorithms such as consensus algorithms have been proposed to solve various optimization problems in power systems. However, at present, consensus algorithms are used in energy storage technology The problem of optimal charging has not been fully studied

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