Automatic Load Frequency Control of Distributed Generations in a Microgrid

P. K. Ray, P. S. Puhan, P. Priyadarshini
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引用次数: 1

Abstract

With rapid growth in the demand of electrical energy across the globe, has increased the use of renewable sources for generation of power. The renewable sources can act as standalone system but their operation is not reliable because of their intermittent nature. This causes the load frequency to deviate in addition to load deviation caused by load change. But interconnection of renewable sources with conventional sources like thermal generation reduces the load frequency deviation to a greater extent. In this work Load Frequency Control (LFC) of distributed system involving thermal, wind and solar generations has been presented. For controlling the frequency deviations by tuning of PI controllers, intelligent techniques are proposed like BFO and PSO. These optimizing techniques are very powerful techniques which are gaining popularity in industry. This paper also discusses the comparative study between BFO and PSO algorithms to determine the optimum parameter of PID controller for automatic load frequency control. A System involving a thermal plant, wind generation system and solar generation is modelled and simulated.
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微电网分布式发电机组负荷频率自动控制
随着全球电力需求的快速增长,可再生能源发电的使用越来越多。可再生能源可以作为独立的系统运行,但由于其间歇性的特性,运行不可靠。这使得负载频率除了由于负载变化引起的负载偏差外,还会出现偏差。而可再生能源与传统能源(如火力发电)的并网则在更大程度上降低了负荷频率偏差。本文介绍了热、风、太阳能分布式系统的工作负荷频率控制。为了通过调整PI控制器来控制频率偏差,提出了BFO和PSO等智能技术。这些优化技术是非常强大的技术,在工业中越来越受欢迎。本文还讨论了BFO算法与粒子群算法的比较研究,以确定用于负载频率自动控制的PID控制器的最优参数。对热电厂、风力发电系统和太阳能发电系统进行了建模和仿真。
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