Fast Convergence Evolutionary Programming for Multi-area Economic Dispatch

Abstract

This paper develops and suggests fast convergence evolutionary programming (FCEP) for solving multi-area economic dispatch problem with tie-line constraints, transmission losses, multiple fuels, valve point effect, and disallowed operating region. Evolutionary programming (EP), a class of evolutionary algorithm, is based on the basic genetic operation of human chromosomes. EP has the ability to seek out the global or close to the global optima. FCEP has been developed to boost convergence speed and solution quality. The efficacy of the developed technique has been tested on three different types of test systems. Test results have been compared with those acquired from improved fast evolutionary programming, EP and other stated evolutionary techniques. It has been observed from the comparison that the developed FCEP has the ability to offer superior solution.

Keywords::

• fast convergence evolutionary programming
• multi-area economic dispatch
• tie-line constraints
• disallowed operating region
• multiple fuels
• valve point effect

Additional information

Notes on contributors

Mousumi Basu

Mousumi Basu received the Bachelor's, Master's, and Ph.D. degrees from Jadavpur Universty, Kolkata, India, in 1991, 1993, and 2003, respectively. She is a Professor in Power Engineering Department, Jadavpur University. Her research interests include power system optimization and soft computing techniques.