A solution for stochastic optimal power flow with integrated wind power generation using a modified cultural-based bee algorithm

This paper proposes a modified Cultural-based Bee Optimization Algorithm to solve the stochastic optimal power flow (SOPF) problem incorporating a set of wind farms to improve its efficiency and optimize power system generation. The proposed method has been tested under a number of modified IEEE tes...

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Bibliographic Details
Published in2016 19th International Conference on Electrical Machines and Systems (ICEMS) pp. 1 - 5
Main Authors Srikun, I., Sawetsakulanond, B.
Format Conference Proceeding
LanguageEnglish
Published The Institute of Electrical Engineers of Japan 01.11.2016
Subjects
Algorithm design and analysis
Load flow
Optimization
Particle swarm optimization
Simulation
Wind power generation
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Summary:This paper proposes a modified Cultural-based Bee Optimization Algorithm to solve the stochastic optimal power flow (SOPF) problem incorporating a set of wind farms to improve its efficiency and optimize power system generation. The proposed method has been tested under a number of modified IEEE test systems. The results show that solving the SOPF with the proposed algorithm are more effective than other swarm intelligence methods in the literature.