首页> 外文期刊>Renewable Power Generation, IET >Maiden coordinated load frequency control strategy for ST-AWEC-GEC-BDDG-based independent three-area interconnected microgrid system with the combined effect of diverse energy storage and DC link using BOA-optimised PFOID controller
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Maiden coordinated load frequency control strategy for ST-AWEC-GEC-BDDG-based independent three-area interconnected microgrid system with the combined effect of diverse energy storage and DC link using BOA-optimised PFOID controller

机译:基于ST-AWEC-GEC-BDDG的独立三区域互连微电网系统的少女协调负载频率控制策略,结合使用BOA优化的PFOID控制器的多种能量存储和直流链路

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摘要

This work presents a maiden approach of coordinated frequency control of novel solar tower (ST)-Archimedes wave energy conversion (AWEC)-geothermal energy conversion (GEC)-biodiesel driven generator (BDDG)-energy storage (ES) units and direct current (DC) links based independent three-area interconnected microgrid system (ImGS). A recent metaheuristic technique, named butterfly optimisation algorithm (BOA) is applied to obtain the optimal gains of the controllers employed with the ImGS and system participation factors. The dynamic performance of proportional-integral derivative (PID), PID with filter (PIDN), proportional-fractional-order integral derivative (PFOID) controllers with their gains tuned by different algorithms such as particle swarm optimisation (PSO), firefly algorithm (FA), whale optimisation algorithm (WOA), and BOA have been compared. Further, the effect of ES units and DC links in all the areas is analysed first time in ImGS. The results have established the superiority of the BOA-based PFOID controllers under different real-world scenarios in terms of frequency deviation, tie-line power, and objective functions. Finally, rigorous sensitivity analysis has been conducted to evaluate the superiority of BOA-optimised PFOID controller towards preserving system stability of ImGS with +/- 25% change in synchronising tie-line coefficients and bias values, and +20% change in loading condition without resetting the nominal condition gain values.
机译:这项工作提出了一种新型太阳能塔(ST)-阿基米德斯波能转换(AWEC)-地热能转换(GEC)-生物柴油驱动发电机(BDDG)-储能(ES)单元和直流电的协调频率控制的首创方法( DC)链接基于独立的三区域互连微电网系统(ImGS)。应用一种最新的启发式技术,称为蝴蝶优化算法(BOA),以获取与ImGS和系统参与因子一起使用的控制器的最佳增益。比例积分微分(PID),带滤波器的PID(PIDN),比例分数阶积分微分(PFOID)控制器的动态性能,其增益可通过不同算法(例如粒子群优化(PSO),萤火虫算法(FA))进行调整),鲸鱼优化算法(WOA)和BOA进行了比较。此外,在ImGS中首次分析了ES单元和DC链路在所有区域中的影响。结果建立了基于BOA的PFOID控制器在不同实际情况下在频率偏差,联络线功率和目标函数方面的优势。最后,进行了严格的灵敏度分析,以评估BOA优化的PFOID控制器在保持ImGS系统稳定性方面的优越性,其中同步连接线系数和偏置值的变化为+/- 25%,而加载条件的变化为+ 20%,而没有重置额定条件增益值。

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