ABSTRACT

Multi Verse Optimization (MVO) technique is a newly developed population based algorithm established on the perception of white holes and black holes in a multi-verse for finding out all possibilities of search spaces. This algorithm is applied to tune the proposed Fractional Order Proportional Derivative Proportional Integral (PPDPI) controller of a multi area power system having hydro, thermal, and gas power plants in each area and the system is analysed in two different prospects i.e. with HVDC link and without HVDC link to have realistic situation. The effectiveness of the proposed controller tuned with MVO for load frequency control under small load perturbation (SLP) is compared with other well-known optimization algorithm for the same power system. In this paper, a Fractional-Order Cascade Controller (FOCC) is proposed which is the combination of both the concepts of fractional calculus and cascade control. Cascade connection of FOPI and FOPD are combined in the proposed controller. Change in load and change in system parameters are also incorporated to verify the robustness of the power system where the controllers tuned by the proposed MVO technique. It is observed that the MVO tuned controllers outperformed the performance of recently published TLBO and DE tuned controllers in the area of dynamic performance, stability, and robustness.

摘要

多宇宙优化（MVO）技术是一种新开发的基于种群的算法，它建立在对多宇宙中白洞和黑洞的感知之上，用于找出搜索空间的所有可能性。该算法被应用于调整一个多区域电力系统的分数阶比例微分比例积分 (PPDPI) 控制器，该系统在每个区域都有水力、火力和燃气发电厂，并在两个不同的前景下对系统进行了分析，即有 HVDC 链路和没有 HVDC 链路有现实情况。将所提出的控制器在小负载扰动 (SLP) 下用 MVO 调谐的负载频率控制的有效性与其他著名的优化算法进行了比较，用于相同的电力系统。在本文中，提出了分数阶级联控制器（FOCC），它结合了分数阶微积分和级联控制的概念。FOPI 和 FOPD 的级联连接在所提议的控制器中组合在一起。负载的变化和系统参数的变化也被纳入验证电力系统的鲁棒性，其中控制器通过所提出的 MVO 技术进行调整。据观察，MVO 调谐控制器在动态性能、稳定性、