Artificial Immune Systems: A New Computational Intelligence Paradigm
Artificial Immune Systems: A New Computational Intelligence Paradigm
Comparison between Genetic Algorithms and Particle Swarm Optimization
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
Evolutionary programming techniques for economic load dispatch
IEEE Transactions on Evolutionary Computation
An analysis of the equilibrium of migration models for biogeography-based optimization
Information Sciences: an International Journal
A new evolutionary algorithm for non-linear economic dispatch
Expert Systems with Applications: An International Journal
ICSI'11 Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part I
Biogeography migration algorithm for traveling salesman problem
ICSI'10 Proceedings of the First international conference on Advances in Swarm Intelligence - Volume Part I
Expert Systems with Applications: An International Journal
Biogeography based optimization for multi-knapsack problems
ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part I
Expert Systems with Applications: An International Journal
Research of Biogeography-Based Multi-Objective Evolutionary Algorithm
Journal of Information Technology Research
A new improved self adaptive particle swarm optimization technique for economic load dispatch
SEMCCO'12 Proceedings of the Third international conference on Swarm, Evolutionary, and Memetic Computing
Emergency railway wagon scheduling by hybrid biogeography-based optimization
Computers and Operations Research
Smart dispatching and metaheuristic swarm flow algorithm
Journal of Computer and Systems Sciences International
Bio-inspired optimisation for economic load dispatch: a review
International Journal of Bio-Inspired Computation
Hi-index | 12.06 |
This paper presents an algorithm, biogeography-based optimization (BBO) to solve both convex and non-convex economic load dispatch (ELD) problems of thermal generators of a power system. The Proposed methodology easily takes care of solving non-convex economic dispatch problems considering different constraints such as transmission losses, ramp rate limits, multi-fuel options and prohibited operating zones. Biogeography deals with the geographical distribution of biological organisms. Mathematical models of biogeography describe how species migrate from one habitat to another, how species arise, and how species become extinct. BBO has features in common with other biology-based optimization methods, like genetic algorithms (GAs) and particle swarm optimization (PSO). Here, first it will be discussed how BBO can be used to solve ELD problems. This algorithm searches the global optimum mainly through two steps: migration and mutation. To show the advantages of the proposed algorithm, it has been applied to four different test systems for solving ELD problems. First, a 6-generator system along with ramp rate limits and prohibited operating zone. Second, considers 40 generators with valve-point loading. Third, considers 20-generator systems with simple quadratic cost function considering transmission loss and operating limit constraints. Last one is addressing both valve-point effects and multiple fuels in a 10-generator system. Comparing with the other existing techniques, the current proposal is found better than, or at least comparable to them considering the quality of the solution obtained. This method is considered to be a promising alternative approach for solving the ELD problems in practical power system.