JOURNAL ARTICLE

Economic Load Dispatch Problem Based Biogeography Algorithm

Abstract

In Recent Scenario, scarcity of energy source, ever growing Power demand, increasing in generation cost necessitate optimal economic dispatch. This paper includes Biogeography Algorithm to compute Economic Load Dispatch Problem for Thermal generator of power system. Biogeography Describes how the species arise, migrates from one habitat another and gets wipes out.In BGA model, problem solutions are represents as islands and sharing of features between solution is represented as immigration and emigration which searches for the global optimum mainly through two steps :migration and mutation. BGA has features in common with other biology-based optimization methods, such as GAs and particle swarm optimization (PSO). This makes BGA applicable to many of the same types of problems that GAs and PSO are used for, namely, high-dimension problems with multiple local optimal. To show the advantages of the proposed algorithm, it has been applied to two different test systems for solving ELD problems. First, a 3-generators system then a 6 generators system with simple quadratic cost function considering operating limit constraints is considered.

Keywords:
Mathematical optimization Particle swarm optimization Economic dispatch Computer science Grid Electric power system Power (physics) Mathematics

Metrics

4
Cited By
1.14
FWCI (Field Weighted Citation Impact)
9
Refs
0.85
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Metaheuristic Optimization Algorithms Research
Physical Sciences →  Computer Science →  Artificial Intelligence
Energy Load and Power Forecasting
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Electric Power System Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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