A Novel EP Approach for Multi-area Economic Dispatch with Multiple Fuel Options

Authors

P. S. MANOHARAN
P. S. KANNAN
V. RAMANATHAN

Abstract

This paper presents a novel approach to multi-area economic dispatch problems with multiple fuel options using a hybrid evolutionary programming method. The objective is to minimize the operation cost of the entire system while satisfying the tie line constraints. In this paper, EP-LMO (Evolutionary Programming with Levenberg-Marquardt Optimization) technique is proposed to solve multi-area economic dispatch problems with multiple fuel options. The EP-LMO is developed in such a way that a simple evolutionary programming (EP) is applied as a base level search to find the direction of the optimal global region. And Levenberg-Marquardt Optimization (LMO) method is used as a fine tuning to determine the optimal solution. The applicability and validity of the proposed approach on multi-area economic dispatch problems are presented in two parts. In Part I, two multi-area bench mark problems without fuel options are considered. In Part II, 10 unit system with both multi-area and multi-fuel options is considered. The proposed approach is compared with the results of Incremental Network Flow Programming, Spatial Dynamic Programming and Evolutionary Programming approaches. The results show that the EP-LMO gives the optimum generation cost than any other methods.

DOI

10.3906/elk-0705-10

Keywords

Economic Dispatch, Multi-area, Multiple fuel options, Evolutionary programming, Levenberg-Marquardt Optimization

First Page

1

Last Page

19

Recommended Citation

MANOHARAN, P. S, KANNAN, P. S, & RAMANATHAN, V (2009). A Novel EP Approach for Multi-area Economic Dispatch with Multiple Fuel Options. Turkish Journal of Electrical Engineering and Computer Sciences 17 (1): 1-19. https://doi.org/10.3906/elk-0705-10