Application of the Adaptive Selective Cuckoo Search Algorithm for a Power Generation System Using Constraints of Power Transmission System
Corressponding author's email:
kienlc@hcmute.edu.vnDOI:
https://doi.org/10.54644/jte.71B.2022.1225Keywords:
Adaptive selective, Metaheuristic algorithm, Optimal power flow, Hydro-thermal power plant, Power system constraintsAbstract
In this paper, the Metaheuristic algorithms has been employed to find the optimal solution for optimal power flow problem of hydro-thermal power plant. Some algorithms for search and optimization including the latest trends in evolutionary algorithms were examined to prove the effectiveness. As results, the analysis of these algorithms shows that they are useful to solve the scheduling problem of the thermal and hydroelectric power plants because they can achieve a good solution and results with a minimum running time in optimal conditions. With these algorithms, Adaptive Selective Cuckoo Search algorithm is most effective since it can obtain the lowest objective function with the lowest maximum number of iterations. The results also show that Differential Evolutionary algorithm, Bat algorithm, and Particle Swarm Optimization algorithm are less effective but they still achieve feasible solution.
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