Abstract
This paper proposes an effective approach based on the particle swarm optimization with pheromone-shared mechanism for power flow transferring control. The proposed approach turns power flow transferring control into non-linear programming problem. It can avoid the shortcomings in the conventional intelligent optimization algorithm, that must be met the power balance equation. The improved particle swarm optimization is able to improve the search efficiency for power flow transferring control by considering the historical local optimal solutions when generating new particles. In order to overcome the premature particle swarm algorithm, initialized by chaotic particle position sequence to enhance the search diversity. In addition, an effective constraint handling framework is employed for considering equality and inequality constraints. Simulation results show that the proposed method can find the solutions for power flow transferring control problems better than other approaches.
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© 2011 Springer-Verlag Berlin Heidelberg
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Shen, XD., Liu, Jy., Liu, Y. (2011). Application of Pheromone-Shared Particle Swarm Optimization for Power Flow Transferring Control. In: Zheng, D. (eds) Advances in Electrical Engineering and Electrical Machines. Lecture Notes in Electrical Engineering, vol 134. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25905-0_8
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DOI: https://doi.org/10.1007/978-3-642-25905-0_8
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