In this paper, the coordinated control of vehicle to grid (V2G) power control and proportional-integral (PI) tuned with particle swarm optimization (PSO), based on H-infinity control, are integrated to control the frequency regulation of interconnected power system in Smart Grid (SG) environment. The plug-in hybrid electric vehicle (PHEV) can compensate the deficient load frequency control (LFC) capacity. In this way V2G power control is applied to compensate for the LFC capacity. For charging the batteries, power is supplied from grid-to-vehicle (G2 V). The traditional controller performance is compared for working with multiple uncertainty-based H∞ controllers and the results proved the predominant performance of the proposed control. To check the system robustness against uncertainty, the PI controller gain and State of Charge (SOC) deviation are optimized using the PSO-based multiple uncertainty-based H∞ controller. Different specimens have been analyzed to ensure the entire working of the developed model. A series of simulation results are presented for the dynamic response of power systems which is superior to other design methods obtained from the literature. Simulation results of two-area interconnected intelligent power system show that frequency deviations are minimal and within specified limits.

本文基于H-无穷大控制，将车辆到电网（V2G）功率控制和粒子群优化（PSO）调谐的比例积分（PI）协调控制相结合，以控制互联电力系统的频率调节在智能电网（SG）环境中。插电式混合动力汽车（PHEV）可以弥补负载频率控制（LFC）能力的不足。以这种方式应用V2G功率控制来补偿LFC容量。为了给电池充电，电力由电网到车辆（G2 V）供电。将传统控制器的性能与多个基于不确定性的 H∞ 控制器一起使用进行了比较，结果证明了所提出的控制的优越性能。为了检查系统针对不确定性的鲁棒性，使用基于 PSO 的多重不确定性 H∞ 控制器优化 PI 控制器增益和充电状态 (SOC) 偏差。对不同的样本进行了分析，以确保所开发模型的整体工作。给出了电力系统动态响应的一系列仿真结果，优于文献中获得的其他设计方法。两区互联智能电力系统仿真结果表明，频率偏差极小，在规定范围内。