Turkish Journal of Electrical Engineering and Computer Sciences
Opposition-based gravitational search algorithm applied to economic power dispatch problems consisting of thermal units with emission constraints
In this study, a multiobjective environmental economic power dispatch problem has been converted into a single-objective optimization problem using the weighted sum method. For the solution of the converted problem, the gravitational search algorithm (GSA), which is one of the latest algorithms, has been used. In order to increase the performance of the GSA, opposite positioning quality has been added to the structure of the algorithm (OGSA). The obtained results show that the proposed algorithm has obtained better results and has provided a faster convergence. The 30-bus 6-generator test system has been selected for application of the OGSA. The transmission line losses have been added to the problem by using a B loss matrix. Optimum solutions of the problem have been obtained for different weights and the results have been verified.
Environmental economic, power dispatch, gravitational search algorithm, opposition-based learning, weighted sum method
ÖZYÖN, SERDAR; YAŞAR, CELAL; DURMUŞ, BURHANETTİN; and TEMURTAŞ, HASAN
"Opposition-based gravitational search algorithm applied to economic power dispatch problems consisting of thermal units with emission constraints,"
Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 23:
7, Article 20.
Available at: https://journals.tubitak.gov.tr/elektrik/vol23/iss7/20
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