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基于先进模糊粒子群优化方法的混合微电网智能能量管理与多目标配电控制

Intelligent Energy Management and Multi-Objective Power Distribution Control in Hybrid Micro-grids based on the Advanced Fuzzy-PSO Method.

作者信息

Sepehrzad Reza, Moridi Ali Reza, Hassanzadeh Mohammad Esmaeil, Seifi Ali Reza

机构信息

Department of Power and Control Engineering, Shiraz University, Shiraz, Iran; Office of Electrical Supervision, Ports and Maritime Organisation-Shahid Rajaee port complex, Bandar Abbas, Iran.

Office of Electrical Supervision, Ports and Maritime Organisation-Shahid Rajaee port complex, Bandar Abbas, Iran.

出版信息

ISA Trans. 2021 Jun;112:199-213. doi: 10.1016/j.isatra.2020.12.027. Epub 2020 Dec 13.

DOI:10.1016/j.isatra.2020.12.027
PMID:33386166
Abstract

A micro-grid consisting of distributed generation resources (DGRs) with a hybrid energy storage system (HESS) composed of batteries and super-capacitors was studied. A control strategy based on the particle swarm optimization (PSO) and energy management algorithms was proposed to facilitate power distribution in the micro-grid and to improve the reliability, control levels, and penetration of micro-grids in the current electrical grids. The proposed operational strategy is based on the power predicted using the load profile and power generation resources. Energy management strategies were then presented by solving a multi-objective problem by the PSO algorithm and submitting the optimization results to the fuzzy controller and power distribution management (PDM) unit. The optimizer, the PDM unit, and the fuzzy controller provide a comprehensive operating procedure for the islanded and grid-connected micro-grids, taking into account their stability against grid fluctuations. In another part of this strategy, an auxiliary power control unit (APCU) was proposed for supporting the HESS and increasing the reliable performance of this unit. The proposed structure was applied to the net power (P) of the islanded and grid-connected micro-grids. The net power was divided into high-frequency (super-capacitor) and low-frequency (battery and APCU) components. The proposed algorithm and simulation results were analyzed using MATLAB/Simulink.

摘要

研究了一种由分布式发电资源(DGR)组成的微电网,该微电网带有一个由电池和超级电容器构成的混合储能系统(HESS)。提出了一种基于粒子群优化(PSO)和能量管理算法的控制策略,以促进微电网中的功率分配,并提高微电网在当前电网中的可靠性、控制水平和渗透率。所提出的运行策略基于利用负荷曲线和发电资源预测的功率。然后通过PSO算法解决多目标问题并将优化结果提交给模糊控制器和配电管理(PDM)单元,从而给出能量管理策略。优化器、PDM单元和模糊控制器为孤岛型和并网型微电网提供了一个综合运行程序,同时考虑了它们对电网波动的稳定性。在该策略的另一部分,提出了一个辅助功率控制单元(APCU),用于支持HESS并提高该单元的可靠性能。所提出的结构应用于孤岛型和并网型微电网的净功率(P)。净功率被分为高频(超级电容器)和低频(电池和APCU)分量。使用MATLAB/Simulink对所提出的算法和仿真结果进行了分析。

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