面向电能质量改进的UPQC混合RES系统FO-PI控制器海鸥优化

S. Yadav, Krishna Bihari Yadav
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摘要

本研究将优化分数阶PI控制器(FOPI)集成到三相混合可再生能源存储(RES)系统中,以改善系统的电能质量(UPQC)。为可再生能源创建模型,如光伏阵列、BESS和风能,目标是提供恒定的电力。总的来说,BESS可以满足光伏阵列和风力发电机组不供电时的满负荷需求,提高了配电系统的稳定性。采用串并联有源滤波补偿器的UPQC模型是为了减少电网的电能质量困难和非线性负荷带来的谐波。此外,UPQC集成了光伏、风能和BESS,可以解决长时间电压中断情况下的电能质量问题。因此,本研究的目标是创建一个具有等阻尼特性的FOPI控制器,以便在必要的水平上管理直流链路的电压。特别使用海鸥优化算法(SOA)来优化调整FOPI控制器的增益(Kp, Ki, λ,)。为了评估电压跌落/膨胀时的结果,考虑到总谐波失真,在MATLAB/Simulink中实现了该方法。它能够产生有竞争力和有希望的结果。
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Seagull Optimization in FO-PI Controller of UPQC Integrated Hybrid RES System for Power Quality Improvement
This study focuses on optimized Fractional order PI controller (FOPI), which is integrated into a three-phase hybrid Renewable Energy Storage (RES) system, is to improve the power quality of the system (UPQC). Models are created for RES such PV arrays, BESS, and wind energy with the goal of supplying constant electricity. In general, the BESS can meet the full load demand when the PV array and wind turbine are not providing energy, which improves the distribution power system's stability. The UPQC model with series and shunt active filter compensator exists to reduce the grid's power quality difficulties and harmonics injected by the non-linear loads. In addition, UPQC that is integrated with PV, wind, and BESS can address power quality issues in the case of long voltage disruptions. Therefore, the goal of this research is to create a FOPI controller with iso-damping properties in order to manage the voltage of the DC link at the necessary level. A Seagull Optimization Algorithm (SOA) is used in particular to optimally tune the gain of the FOPI controller (Kp, Ki, λ,). In order to evaluate the results during voltage sag/swell, concerning the total harmonic distortion, the proposed method was implemented in MATLAB/Simulink. It's capable of producing competitive and promising outcomes.
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