Abstract
This paper presents the study of intelligent controllers for Two-area multi-source interconnected power system model. The controller gains are optimized using Conventional method, GA and BAT algorithms and investigation is carried out for the best optimization method on the basis of dynamic performance and stability of the power system model. The power system model under investigation two area each area consists of thermal, hydro and Double Fed Induction Generator (DFIG) based wind unit with different participation factor in the total generation for their respective area. It has been observed that an appreciable improvement in the system dynamic performance is achieved using Bat algorithms for load frequency controller for multisource power system model as compared with conventional method and GA algorithm.
Highlights
In a large power system with diverse sources of power generators, electrical power is generated to meet the demand in an efficiently and reliable manner
Many Practically conventional PID controllers are used for Load Frequency Control (LFC) problem and classical optimization techniques for tuning controller gains is based on trial and error method that time consuming and gives suboptimal result
In this paper study of three intelligent optimization techniques namely Conventional, Genetic algorithm (GA), and Bat algorithm (BAT) is applied for load frequency problem for two areas multi-source interconnected power system model
Summary
In a large power system with diverse sources of power generators, electrical power is generated to meet the demand in an efficiently and reliable manner. From two decades, optimization algorithms like Genetic Algorithm (GA), Evolutionary Programming (EP), Evolutionary Strategies (ES), based on evolution and natural genetics, have been extensively used for linear and non-linear case of LFC for isolated and interconnected power system model. Most recently meta-heuristic techniques like particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Bacteria Foraging Optimization (BFO) and Bat algorithm(BAT) are becoming powerful methods for solving many engineering complex optimization problems and have been used for tuning of controller gains for LFC for interconnected power system [1,2,3,4,5,6,7,8,9]. In this paper study of three intelligent optimization techniques namely Conventional, Genetic algorithm (GA), and Bat algorithm (BAT) is applied for load frequency problem for two areas multi-source interconnected power system model. The performance is compared on the basis of performance index and dynamic steady state stability of the power system model
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