基于PSO和LQR的混合可再生能源系统最优负荷频率控制

G. Shankar, S. Lakshmi, N. Nagarjuna
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引用次数: 9

摘要

采用基于粒子群优化(PSO)的调谐控制器和线性二次型调节器(LQR)等经典状态反馈技术,对负荷需求和太阳辐射变化的混合可再生能源系统(HRES)进行了负荷频率控制。为了分析PSO和LQR在负载频率控制中的性能,在MATLAB/SIMULINKR环境下对三分量配置的HRES进行了建模。研究的HRES包括一个光伏组件、一个柴油发动机发电机(DEG)和一个电池储能系统(BESS)。太阳辐射和负荷需求在白天和晚上不是恒定的。因此,HRES系统需要控制器和其他组件(如DEG和BESS)来减轻频率偏差。比较了PSO优化控制器和LQR控制器对HRES的最优频差响应。
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Optimal load frequency control of hybrid renewable energy system using PSO and LQR
This paper presents the load frequency control of hybrid renewable energy system (HRES) with varying load demand and solar radiation using particle swarm optimization (PSO) based tuned controller and classical state feedback technique like linear quadratic regulator (LQR). To analyze the performance of PSO and LQR on load frequency control, HRES with three component configuration is modeled in MATLAB/SIMULINKR environment. The HRES studied consist a photovoltaic module, a diesel engine generator (DEG) and a battery energy storage system (BESS). Solar radiation and load demand is not constant throughout the day and night. Hence, HRES system requires controllers and other components like DEG and BESS to mitigate the frequency deviation. The optimal frequency deviation response for HRES is obtained using PSO optimized controller and with LQR is compared and presented.
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