| Abstract: |
| This paper presents opposition-based differential evolution to determine the optimal hourly schedule of power
generation in a hydrothermal system. Differential evolution (DE) is a population-based stochastic parallel search
evolutionary algorithm. Opposition-based differential evolution has been used here to improve the effectiveness
and quality of the solution. The proposed opposition-based differential evolution (ODE) employs opposition-based
learning (OBL) for population initialization and also for generation jumping. The effectiveness of the proposed
method has been verified on two test problems, two fixed head hydrothermal test systems and three hydrothermal
multi-reservoir cascaded hydroelectric test systems having prohibited operating zones and thermal units with valve
point loading. The results of the proposed approach are compared with those obtained by other evolutionary
methods. It is found that the proposed opposition-based differential evolution based approach is able to provide
better solution. |
| Key words: Differential evolution, Opposition-based differential evolution, Hydrothermal system, Fixed head,Variable head |
| DOI：10.1186/s41601-017-0033-5 |
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| Fund: |
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