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Comparative performance evaluation of WCA-optimised non-integer controller employed with WPG–DSPG–PHEV based isolated two-area interconnected microgrid system

机译:基于WPG-DSPG-PHEV的隔离式两区域互连微电网系统使用的WCA优化非整数控制器的比较性能评估

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This study endeavours an effective frequency control of renewable-based isolated two-area interconnected microgrid (IC mu G) without battery, incorporating wind power generation in area-1, dish-Stirling solar power generation system in area-2 and other common distributed generation systems such as diesel engine driven generator, plug-in hybrid electric vehicle, heat pump and freezer in both the areas. A recently developed heuristic optimisation technique called water cycle algorithm (WCA) is applied to optimally tune the parameters of the non-integer fractional-order proportional-integral-derivative (FOPID) controllers employed with IC mu G. Application of WCA-based FOPID controllers in frequency control two-area IC mu G without battery is a novel work. The comparative performance analysis of proportional-integral-derivative (PID), PID with filter and non-integer order-based FOPID controller with their gains tuned by particle swarm optimisation (PSO), improved PSO, firefly algorithm and WCA algorithms indicates the superiority of WCA-based FOPID controller's under different case studies (considering different load disturbances, wind speed variation with real data, and solar irradiance) in terms of frequency deviation, tie-line power, and objective function. Furthermore, the sensitivity analysis contemplates that WCA-optimised FOPID controller can withstand +/- 25% change in synchronising coefficient, +20% change in loading condition and +/- 25% change in frequency bias constant without resetting the gain values.
机译:这项研究致力于有效地控制不带电池的基于可再生能源的隔离式两区域互联微电网(IC mu G),将区域1中的风力发电,区域2中的碟形斯特林太阳能发电系统以及其他常见的分布式发电纳入其中这两个领域的系统,如柴油发动机驱动的发电机,插电式混合动力汽车,热泵和冷冻机。应用了一种最新开发的启发式优化技术,称为水循环算法(WCA),以优化调整与IC mu G一起使用的非整数分数阶比例积分微分(FOPID)控制器的参数。基于WCA的FOPID控制器的应用在不带电池的频率控制两区IC mu G中,这是一项新颖的工作。比例积分微分(PID),带滤波器的PID和基于非整数阶的FOPID控制器的性能比较分析,其增益通过粒子群优化(PSO),改进的PSO,萤火虫算法和WCA算法进行了调整,表明了PID的优越性。基于WCA的FOPID控制器在频率偏差,联络线功率和目标函数等方面的不同案例研究(考虑不同的负载扰动,具有实际数据的风速变化以及太阳辐照度)。此外,灵敏度分析还考虑了WCA优化的FOPID控制器可以承受+/- 25%的同步系数变化,+ 20%的负载条件变化和+/- 25%的频率偏置常数变化,而无需重新设置增益值。

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