Improved Jaya Algorithm for Economic Dispatch Considering Valve-Point Effect and Multi-Fuel Options

Chuanhu Chen,Chunliang Li,Dexuan Zou

doi:10.1109/access.2020.2992616

Abstract

In this work, an improved Jaya (IJaya) algorithm is proposed and used to solve the economic load dispatch (ELD) problem considering valve-point effect and multi-fuel options. Compared with original Jaya, the convergence rate of IJaya is accelerated by distance-varying acceleration coefficient (DVAC), and the population diversity is enlarged by a self-adaptive population mechanism (SAPM). Meanwhile, to avoid premature problem, Gaussian and Cauchy mutation (GCM) is used to help IJaya jump out of local optima. The superiorities of IJaya have been validated by solving ELD cases with 6, 10, 13, 15, 40 generators, and the results are analysed in aspects of convergence rate, solution quality and robustness. The conclusion is that, in the tested ELD cases, IJaya behaves much more competitive than Jaya under the same testing conditions.

Highlights

Economic load dispatch (ELD) in power system is a high dimensional, non-convex, non-smooth and non-linear optimization problem under various of constraints
Various of nature inspired meta-heuristic optimization approaches have been developed to address the economic load dispatch (ELD) problem, such as genetic algorithm (GA) [2], particle swarm optimization (PSO) [3], biogeography-based optimization (BBO) [4], artificial immune system (AIS) [5], firefly algorithm [6], harmony search (HS) [7], artificial bee colony algorithm (ABC) [8] and teaching-learning-based optimization (TLBO) [9]. Even though these heuristic methods obtained promising results in convergence rate and cost savings in solving ELD problems, they are be trapped by local optima rather than achieving global optima, which is an unavoidable drawback for heuristic methods
The first one is, we introduce the concept of distance-varying acceleration coefficient (DVAC), which is determined by the best position and worst position in Jaya

Summary

INTRODUCTION

Economic load dispatch (ELD) in power system is a high dimensional, non-convex, non-smooth and non-linear optimization problem under various of constraints. C. Chen et al.: Improved Jaya Algorithm for Economic Dispatch Considering Valve-Point Effect and Multi-Fuel Options algorithms requiring for algorithm-specific parameters, Jaya algorithm is totally free from algorithm-specific parameters and only two common parameters are required, which are population size pop_size and maximum number of iterations max_iter. Chen et al.: Improved Jaya Algorithm for Economic Dispatch Considering Valve-Point Effect and Multi-Fuel Options algorithms requiring for algorithm-specific parameters, Jaya algorithm is totally free from algorithm-specific parameters and only two common parameters are required, which are population size pop_size and maximum number of iterations max_iter This competitive benefit makes it popularly applied in various engineering applications [19], [20]. An improved Jaya (IJaya) algorithm is proposed and used to solve the ELD problem considering valve-point effect and multi-fuel options.

PROBLEM FORMULATION

NUMERICAL EXPERIMENTS

CONCLUSION