A new hybrid technique for solution of economic load dispatch problems based on Biogeography Based Optimization

Abstract

This paper presents a hybrid technique combining EvolutionaryStrategy(ES) with Biogeography Based Optimization (BBO/ES) algorithm to solve economic load dispatch problems of thermal plants considering equality and inequality constraints, transmission losses and valve point loading. Biogeography is a recently developed heuristic algorithm which has shown impressive performance on many well known benchmarks. In order to improve BBO, distinctive features from ES are incorporated in BBO modification. This algorithm searches for the global optimum mainly through two steps: migration and mutation. The effectiveness of the proposed algorithm has been verified on two different test systems, both small and large involving varying degree of complexity. A comparison of simulation results reveals that the proposed algorithm is better than those listed in the comparison table in terms of the quality of the solution. This method seems to be promising alternative approach for solving the ELD problems in practical power systems.

Biogeography-based Optimization Algorithm

“…• Power system optimization (Jamuna and Swarup 2011b;Roy et al 2009aRoy et al , b, 2010aRoy et al , b, c, d, 2011Bhattacharya and Chattopadhyay 2009a, b, c, 2010a, b, c, d, e, f, g, 2011aRarick et al 2009;Lohokare et al 2010;Rathi et al 2011;Swarup 2011a, 2012;Pandit 2012;Rabiee et al 2012;Kankanala et al 2012;Mohammed and Talaq 2012;Gupta et al 2012;Mahdad and Srairi 2011;Kanoongo and Jain 2012;Mandal et al 2011). …”

Influence of Bidding Mechanism and Spot Market Characteristics on Market Power of a Large Genco Using Hybrid DE/BBO

“…It works with the population of habitats under migration and mutation operations. Owing to migration, BBO has good exploitation ability and has outperformed other techniques for different power system problems [13][14][15][16]. However, it is seen that it has limited exploration capability for large variable complex problems [17,18].…”

“…It describes how species migrate from one island to another, how new species arise and how species become extinct. Migration and mutation are its operators as described below [12][13][14][15][16].…”

Spectrum allocation in cognitive radio networks using chaotic biogeography‐based optimisation

“…BBO solves an optimisation problem through an iterative procedure using migration and mutation operators. There are several BBO applications to real-world optimisation problems [20][21][22][23][24][25][26][27][28] and have been extensively used over the last decade [29]. Moreover, an additional domain for BBO application is that of antenna design in [28].…”