Chaotic butterfly optimization algorithm based cascaded PI‐TID controller for frequency control in three area hybrid microgrid system

Mausri Bhuyan, D. C. Das, A. Barik
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引用次数: 2

Abstract

The work represents a unique methodology for control of frequency in three area independent and interconnected hybrid microgrid systems. The proposed hybrid microgrids consist of solar chimney (SC), combined solar gas turbine (CSGT), bio‐diesel operated generator (BDOG), DC link, energy storage units such as battery energy storage unit (BESU), super‐magnetic energy storage unit (SMESU), and redox flow battery (RFB) based. Integration of generating units such as SC, CSGT, BDOG, SMESU, RFB, and DC link in three area hybrid microgrid is also a unique work. A newly developed chaotic butterfly optimization algorithm (CBOA) is applied so as to obtain the optimized standards of the cascaded PI‐TID controller employed with dispatchable generating units. Comparative analysis of different algorithms and controllers is achieved to establish the dominance of the anticipated control strategy. The impact of each component on the system is examined while taking into account various real‐time scenarios. Finally, the efficacy of cascaded PI‐TID controller tuned using CBOA is established by sensitivity analysis with significant changes in source and load circumstances.
基于混沌蝴蝶优化算法的级联PI - TID控制器用于三区混合微电网频率控制
这项工作代表了一种独特的方法来控制频率在三个区域独立和互联的混合微电网系统。拟议的混合微电网包括太阳能烟囱(SC)、联合太阳能燃气轮机(CSGT)、生物柴油发电机(BDOG)、直流链路、储能单元,如电池储能单元(BESU)、超磁储能单元(SMESU)和基于氧化还原液流电池(RFB)的储能单元。将SC、CSGT、BDOG、SMESU、RFB、DC链路等发电机组集成到三区混合微电网中也是一项独特的工作。为了得到具有可调度发电机组的级联PI - TID控制器的优化标准,提出了一种新的混沌蝴蝶优化算法(CBOA)。通过对不同算法和控制器的对比分析,确定预期控制策略的优势。在考虑各种实时场景的同时,检查每个组件对系统的影响。最后,通过灵敏度分析,在源和负载环境发生显著变化的情况下,利用CBOA调谐的级联PI - TID控制器的有效性得到了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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