Hybrid PSO-GSA Applied To Dynamic Economic Dispatch With Prohibited Operating Zones
Journal Title: IOSR Journals (IOSR Journal of Electrical and Electronics Engineering) - Year 2018, Vol 13, Issue 1
Abstract
This paper proposes a novel and efficient hybrid algorithm based on combining particle swarm optimization (PSO) and gravitational search algorithm (GSA) techniques, called PSO-GSA. The core of this algorithm is to combine the ability of social thinking in PSO with the local search capability of GSA. Many practical constraints of generators such as ramp rate limits, prohibited operating zones, and transmission losses are considered. The new algorithm is implemented for solving the dynamic economic dispatch (DED) problem so as to minimize the total generation cost when considering the linear and non linear constraints. In order to validate of the proposed algorithm, it is applied to two cases with 6-unit and 15-unit power systems for 24-hour time interval, respectively. The results show that the proposed algorithms indeed produce more optimal solution in both cases when compared results of other optimization algorithms reported in literature.
Authors and Affiliations
Sy. Agus Salim, Irman . , Hadimi . , Hardiansyah .
Keywords
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- EP ID EP388660
- DOI 10.9790/1676-1301031017.
- Views 127
- Downloads 0
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