Fuzzy-Based Power Management and Power Quality Improvement in Microgrid using Battery Energy Storage System

M. Rajabinezhad, Arman Ghaderi Baayeh, J. Guerrero
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引用次数: 4

Abstract

In traditional low voltage networks, energy storage systems are mainly used by consumers to protect against short-term power outages. With the advent of microgrids and the expansion of distributed generation resources and also, the development of energy storage system technology, the role of energy storages are increasing. By the proposed control system, the battery energy storage system (BESS) participates in the microgrid energy management and also plays a role in voltage regulation and compensating for current harmonic, unbalance, and reactive power due to the presence of nonlinear loads. In this paper, fuzzy logic-based energy management is proposed, which considers the battery state of charge (SOC), matching between load and wind turbine unit power curves, and the cost of purchased or injected electricity into the grid. In the proposed control system, the limitation of inverter in reactive power injection and the battery's protection from over-charge and over-discharge is also considered. To validate the application of the proposed control system, simulations are performed in MATLAB/Simulink software. The simulation results confirm and prove the efficiency of the proposed control system.
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基于模糊的电池储能微电网电能管理与电能质量改善
在传统的低压电网中,储能系统主要由消费者使用,以防止短期停电。随着微电网的出现和分布式发电资源的扩展,以及储能系统技术的发展,储能的作用越来越大。通过所提出的控制系统,电池储能系统(BESS)不仅参与了微电网的能量管理,而且还发挥了电压调节和补偿电流谐波、不平衡以及由于非线性负载的存在而产生的无功功率的作用。本文提出了一种基于模糊逻辑的能量管理方法,该方法考虑了电池荷电状态(SOC)、负荷与风力发电机组功率曲线的匹配、并网购电或注入电的成本等因素。在该控制系统中,还考虑了逆变器在无功功率注入方面的限制以及电池对过充过放的保护。为了验证所提出的控制系统的应用,在MATLAB/Simulink软件中进行了仿真。仿真结果验证了所提控制系统的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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