Frequency Regulation Scheme for PV integrated Power System using Energy Storage Device

Balvinder Singh, S. K. Bishnoi, Mandeep Sharma
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Abstract

This work proposes the strategy of the proportional-integral-derivative regulator with noise reduction filter (PIDF) for frequency and tie-line power flow regulation of a two-area Photovoltaic (PV) and Thermal power plant interconnected power system. The Supercapacitor energy storage (SCES) unit has also been employed to refine the power system's steady-state and dynamic performance. A recently designed new metaheuristic optimization technique dwarf mongoose optimization algorithm (DMO) has been employed to fine-tune the controllable parameters of PIDF and proportional-integral (PI) regulators. This is an earlier attempt of supercapacitor unit and DMO algorithm in such hybrid unit. The superiority of the DMO-tuned PIDF regulator has been validated in contrary with PI regulators optimized with various renowned algorithms i.e. genetic algorithm and firefly algorithm in the presented power system. Further, the performance of the studied controller has been validated with various performance indicators. The robustness analysis of the presented controller has been checked with various ambiguities applied by changing system parameters.
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基于储能装置的光伏综合发电系统频率调节方案
本文提出了一种带降噪滤波的比例-积分-导数调节器(PIDF)策略,用于两区光伏和火电厂互联电力系统的频率和联络线潮流调节。超级电容器储能(SCES)单元也被用于改善电力系统的稳态和动态性能。本文提出了一种新的元启发式优化技术——矮猫鼬优化算法(DMO),用于对PIDF和比例积分(PI)调节器的可控参数进行微调。这是超级电容单元和DMO算法在这种混合单元中的较早尝试。与现有电力系统中采用遗传算法和萤火虫算法优化的PI稳压器相比,dmo调谐的PIDF稳压器的优越性得到了验证。此外,用各种性能指标验证了所研究控制器的性能。该控制器的鲁棒性分析通过改变系统参数进行了验证。
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