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Fuzzy based intelligent frequency control strategy in standalone hybrid AC microgrid

机译:独立式混合交流微电网中基于模糊的智能频率控制策略

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Due to environmental concerns, there is lot of emphasis on the use of renewable energy sources as distribution generation sources for electric power generation. These distributed sources have resulted in the concept of AC/DC micro-grids. But the intermittent nature of these sources cause many control problems and thereby affect the quality of the power within a micro-grid operating in a standalone or grid connected mode. In this paper an AC micro-grid operating in standalone mode and consisting of wind turbine generators (WTGs), solar photovoltaic (PV), diesel engine generators (DEGs), fuel cells (FCs) and battery energy storage system (BESS) has been considered for simulation studies. An intelligent control technique based on fuzzy gain scheduling of the conventional proportional-integral-derivative (PID) controller is proposed for frequency regulation for sudden changes in load or generation power or both. The performance of the fuzzy gain scheduled PID (FGSPID) controller is compared with that of the conventional PID controller for comparative analysis. The simulation results demonstrate the effectiveness of the FGSPID controller in terms of less oscillations and reduced settling time and overshoot.
机译:由于环境方面的考虑,人们非常重视使用可再生能源作为发电的配电产生源。这些分布式资源导致了AC / DC微电网的概念。但是这些电源的间歇性会导致许多控制问题,从而影响以独立或并网模式运行的微电网内的电源质量。本文以独立模式运行的交流微电网已经由风力发电机(WTG),太阳能光伏(PV),柴油发电机(DEG),燃料电池(FC)和电池储能系统(BESS)组成。考虑用于模拟研究。提出了一种基于常规比例-积分-微分(PID)控制器的模糊增益调度的智能控制技术,以进行负载或发电功率或两者突然变化的频率调节。将模糊增益预定PID(FGSPID)控制器的性能与常规PID控制器的性能进行比较,以进行比较分析。仿真结果证明了FGSPID控制器在减少振荡,减少建立时间和过冲方面的有效性。

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