2008•Journal of Electrical Engineering and TechnologyRequires access

Hybrid Differential Evolution Technique for Economic Dispatch Problems

T. Jayabarathi, V. Ramesh, D. P. Kothari, Kusuma Pavan, Mithun Thumbi

Abstract

This paper is aimed at presenting techniques of hybrid differential evolution for solving various kinds of Economic Dispatch(ED) problems such as those including prohibited zones, emission dispatch, multiple fuels, and multiple areas. The results obtained for typical problems are compared with those obtained by other techniques such as Particle Swarm Optimization(PSO) and Classical Evolutionary Programming(CEP) techniques. The comparison of the results proves that hybrid differential evolution is quite favorable for solving ED problems with no restrictions on the shapes of the input-output functions of the generator.

About this research paper

What this paper is about

Why it matters

OpenAlex reports 8 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Key concepts: Economic dispatch, Differential evolution, Particle swarm optimization, Mathematical optimization, Differential (mechanical device), Generator (circuit theory), Evolutionary programming, Evolutionary algorithm