In the current situation, operation and control of power system is a greater challenge. The most significant situation in power system control is load frequency control. In the present work, a hybrid differential evolution and pattern search (hDE-PS) method has been suggested for frequency regulation of electrical power systems. Fractional-order proportional integral derivative (FOPID) controller is implemented for design and analysis purpose. The suggested control method has been applied for two electrical power systems model, i.e., 2-area diverse source power system with/without HVDC linkage and 2-area thermal system. The performances of the suggested controller have been evaluated with PID and optimal controller. The simulation results indicate that system performances are enhanced with the suggested approach for identical structure. Robustness of the suggested approach has been analyzed by variation in random load and the system parameters. The suggested method (hDE-PS tuned FOPID) is further investigated with a 2-area thermal system. The performance of the recommended approach is analyzed by equating the results with other newly available approaches, like Genetic Algorithm (GA), Bacteria Foraging Optimization Algorithm (BFOA), Particle Swarm Optimization (PSO), hybrid BFOA and PSO (hBFOA-PSO), multi-objective Non-dominated Sorting Genetic Algorithm (NSGA)-II and Firefly Algorithm for the similar structure.

中文翻译：

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电力系统频率控制的混合差分进化与模式搜索技术的比较性能分析

在当前形势下，电力系统的运行和控制是一个更大的挑战。电力系统控制中最重要的情况是负载频率控制。在当前的工作中，已经提出了一种混合的差分进化和模式搜索（hDE-PS）方法来进行电力系统的频率调节。分数阶比例积分微分（FOPID）控制器用于设计和分析目的。所建议的控制方法已应用于两个电力系统模型，即具有/不具有HVDC链接的2区域多样化电源系统和2区域热力系统。建议的控制器的性能已通过PID和最佳控制器进行了评估。仿真结果表明，采用相同结构的建议方法可以提高系统性能。通过随机负载和系统参数的变化分析了建议方法的鲁棒性。建议的方法（hDE-PS调整的FOPID）在2区热系统中进行了进一步研究。通过将结果与其他新近获得的方法等同来分析推荐方法的性能，例如遗传算法（GA），细菌觅食优化算法（BFOA），粒子群优化（PSO），混合BFOA和PSO（hBFOA-PSO），相似结构的多目标非支配排序遗传算法（NSGA）-II和Firefly算法。