Comparative performance analysis of hybrid differential evolution and pattern search technique for frequency control of the electric power system

Pratap Chandra Pradhan,Rabindra Kumar Sahu,Sidhartha Panda

doi:10.1186/s43067-021-00033-y

Abstract

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.

Highlights

In today’s era of the present power scenario, load frequency control (LFC) is flattering the recent challenge
To acquire precise insight of the LFC problem, it is essential to hold the vital physical constraints in the system model. This study presents both the usage of a powerful computational intelligence technique like Differential Evolution (DE) and hybrid DE-PS in order to optimize the optimal/PID/ Fractional-order proportional integral derivative (FOPID) controller parameters of a LFC system
In this manuscript, hybrid differential evolution and pattern search (hDE-PS) technique-based FOPID/PID/optimal controller has been suggested for control of frequency in electrical power system with/without HVDC link

Summary

Introduction

In today’s era of the present power scenario, load frequency control (LFC) is flattering the recent challenge. No effort has been made to develop hybrid DE-PS-tuned optimal/FOPID/ PID controllers for the frequency regulation problem. To acquire precise insight of the LFC problem, it is essential to hold the vital physical constraints in the system model This study presents both the usage of a powerful computational intelligence technique like DE and hybrid DE-PS in order to optimize the optimal/PID/ FOPID controller parameters of a LFC system. To propose a hybrid DE-PS technique-based FOPID/PID/optimal output feedback controller for frequency regulation with/without HVDC link for 2-area 6-unit power system. B. The advantage of the suggested hDE-PS-optimized FOPID is presented by equating the results over conventional PID and optimal controller for the identical structure. The detail about the PS technique is available in the literature [22]

Results and discussion

Findings

Conclusions