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A new hybrid bacterial foraging and simplified swarm optimization algorithm for practical optimal dynamic load dispatch
- Source :
-
International Journal of Electrical Power & Energy Systems . Jul2013, Vol. 49, p414-429. 16p. - Publication Year :
- 2013
-
Abstract
- Abstract: This paper presents a novel approach to depict the practical constraints of generator units such as reserve constraints, prohibited operating zones and valve-point effects in the optimal dynamic dispatch problem. Determining the power generation output of units at minimum total fuel cost a dynamic environment with ramp rate limits to satisfy load demand and transmission losses is too complicated and has a lot of local optima in its search space. In addition, the proposed problem has a non-linear, non-convex, non-smooth, multi-modal, non-separable, and non-differentiable nature. In order to overcome above problems a new hybrid technique, based on bacterial foraging and simplified swarm optimization algorithms combined with a new mutation operator and opposition-based initialization is proposed to restraint the premature convergence of the solutions. Therefore, the bacteria in chemo-tactic procedure are moved in short or long steps as well as swimming movements. Furthermore, to increase the diversity of the solution of the search space a novel self-adaptive mutation strategy which profits from four mutation rules is implemented. For more validation the simulation results are applied on four small, medium and large scale systems with 5-unit, 10-unit, 30-unit and 100-unit and compared with those of other methods in the area. [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 01420615
- Volume :
- 49
- Database :
- Academic Search Index
- Journal :
- International Journal of Electrical Power & Energy Systems
- Publication Type :
- Academic Journal
- Accession number :
- 86464659
- Full Text :
- https://doi.org/10.1016/j.ijepes.2013.01.013