Driver Training Based Optimized Fractional Order PI-PDF Controller for Frequency Stabilization of Diverse Hybrid Power System

Fractal and Fractional

article

Guoqiang Zhang¹  Amil Daraz¹  Irfan Ahmed Khan³  Abdul Basit¹  Muhammad Irshad Khan⁴  Mirzat Ullah⁵ 

[1] School of Information Science and Engineering, NingboTech University;College of Information Science and Electronic Engineering, Zhejiang University;Department of Electrical Engineering, Faculty of Engineering, Universiti Malaya;College of Electronics and Information Engineering, Nanjing University of Aeronautics and Astronautics;Graduate School of Economics and Management, Ural Federal University

关键词: renewable energy resources;    optimization techniques;    fractional order controller;    power system;    load frequency control;    heuristic techniques;    driver training-based optimization;   

DOI  :  10.3390/fractalfract7040315

学科分类：社会科学、人文和艺术（综合）

来源: mdpi

【 摘 要 】

This work provides an enhanced novel cascaded controller-based frequency stabilization of a two-region interconnected power system incorporating electric vehicles. The proposed controller combines a cascade structure comprising a fractional-order proportional integrator and a proportional derivative with a filter term to handle the frequency regulation challenges of a hybrid power system integrated with renewable energy sources. Driver training-based optimization, an advanced stochastic meta-heuristic method based on human learning, is employed to optimize the gains of the proposed cascaded controller. The performance of the proposed novel controller was compared to that of other control methods. In addition, the results of driver training-based optimization are compared to those of other recent meta-heuristic algorithms, such as the imperialist competitive algorithm and jellyfish swarm optimization. The suggested controller and design technique have been evaluated and validated under a variety of loading circumstances and scenarios, as well as their resistance to power system parameter uncertainties. The results indicate the new controller’s steady operation and frequency regulation capability with an optimal controller coefficient and without the prerequisite for a complex layout procedure.

【 授权许可】

CC BY