Solving the economic dispatch problem by using differential evolution

Abstract

This paper proposes an application of the differential evolution (DE) algorithm for solving the economic dispatch problem (ED). Furthermore, the regenerating population procedure added to the conventional DE in order to improve escaping the local minimum solution. To test performance of DE algorithm, three thermal generating units with valve-point loading effects is used for testing. Moreover, investigating the DE parameters is presented. The simulation results show that the DE algorithm, which had been adjusted parameters, is better convergent time than other optimization methods.problems and multimodal environments [14][15]. The advantages of the DE are simple structure, a few control parameters and high reliable convergences. The DE is one type of modern optimization techniques, which based on a population searching mechanism like as GA [9], bee colony (Be) optimization [16] and PSO [17][18].The paper is organized as follows: Section II formulates the ED problem. Section III describes detail of the DE algorithm. Section IV shows the test system and computational results. Lastly, conclusion is given in Section VI. n

An new hybrid algorithm to solve non convex economic load dispatch problem

“…In order to overcome all demerits of above said algorithm, a new optimization technique is adopted that is EHSA which is applied to solve economic dispatch problem. First proceed with PSODE [16] and then hybridized with SA.…”

“…Thus, researchers showed interest in intelligent algorithms such as genetic algorithms (GA) [2]- [4], [20], [21], particle swarm optimization (PSO) [5]- [7], [13], [18] and differential evolution (DE) [14], [15]. Among those algorithms, GA and its improved versions becomes popular because of its scale range search ability flexible coding rules, and unaffected by fuel consumption curve mathematic properties.…”

A fast particle swarm algorithm for solving smooth and non-smooth economic dispatch problems

“…The authors concluded that their ModPSO is a promising alternative for solving the ED problem with valve-point and multi-fuel effects. Downloaded by [Selcuk Universitesi] at 03:22 22 December 2014 Khamsawang et al (2009) proposed a differential evolution (DE) algorithm for the ED problem. A regenerating population mechanism was introduced to the standard DE algorithm, in order to improve its ability to escape from local optima.…”

PSO-TVAC-Based Economic Load Dispatch with Valve-Point Loading

“…Thus, there is a large emphasis on adopting stochastic algorithms to solve the economic dispatch problem effectively. Benevolent results have been reported during the past few years and several methods like genetic algorithm (GA) [2], evolutionary programming (EP) [3], tabu search (TS) [4], simulated annealing (SA) [5], differential evolution (DE) [6], etc., have been successfully implemented for practical ED problems thus significantly improving the existing results of the problem in terms of decreased fuel cost.…”