基于Grasshopper优化算法的可再生互联电力系统LFC模糊PD-PI级联控制器

Debasis Tripathy, N. Choudhury, Sadasiva Behera, B. K. Sahu
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引用次数: 3

摘要

负载频率控制(LFC)方案可以利用合适的二次控制器克服互联电力系统中由于小扰动引起的频率不稳定问题。因此,本文介绍了一种基于grasshopper优化算法(GOA)的模糊PD-PI级联控制器,用于三区互联系统的LFC研究。最初,互联电力系统的每个区域由一个热发电机组组成,为了进一步显示可再生能源(RES)的影响,风力发电机组和太阳能热发电机组的组合与热发电机组一起被纳入区域1。研究从GOA技术优于其他技术的性能验证开始。然后,为了确定目标函数的选择,通过考虑积分时间乘绝对误差和积分平方误差这两个最常用的目标函数,验证了GOA-PI控制器的性能。最后,对该控制器的性能进行了验证,并与其他控制器进行了对比。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Grasshopper Optimization Algorithm based Fuzzy PD-PI Cascade Controller for LFC of Interconnected Power System Coordinate with Renewable sources
The frequency instability issue in an interconnected power system due to small disturbances can be overcome by the load frequency control (LFC) scheme using a suitable secondary controller. So, this article introduces a grasshopper optimization algorithm (GOA) based fuzzy PD-PI cascade controller for the LFC study considering a three area interconnected system. Initially, each area of the interconnected power system comprising of a thermal generating unit and further to show the impact of renewable energy sources (RES), a combination of wind generating unit and the solar-thermal generating unit is incorporated along with thermal generating unit in area-1. The study begins with the performance verification of the GOA technique over other techniques. Then to get sure about the selection of objective function, the performance of the GOA-PI controller has been verified by considering two mostly used objective functions i.e. integral time multiplied absolute error and integral square error. Lastly, the performances of the proposed controller have been verified over other controllers for the system with/without incorporating RES.
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