Parallel particle swarm optimization on power transmission network planning take account of congestion management and residual capacity

  • Authors:

  • Yi-Xiong Jin;Hao-Zhong Cheng;Cheng-Min Wang;Jian-Yong Yan;Li Zhang

  • Affiliations:

  • Dept. Electrical Engineering, Shanghai Jiao Tong University, Shanghai, P.R. China;Dept. Electrical Engineering, Shanghai Jiao Tong University, Shanghai, P.R. China;Dept. Electrical Engineering, Shanghai Jiao Tong University, Shanghai, P.R. China;Shanghai Urban Power Supply Company, Shanghai, P.R. China;Shanghai Urban Power Supply Company, Shanghai, P.R. China

  • Venue:
  • SMO'05 Proceedings of the 5th WSEAS international conference on Simulation, modelling and optimization
  • Year:
  • 2005

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Abstract

A novel model for transmission network planning which takes account of network configuration, generation planning, power flow control device installation, and residual capacity evaluation based on congestion management technology is presented in this paper. The character of this model is analyzed, and a parallel Particle Swarm Optimization algorithm is put forward according to the type of optimization variables. This method provides a flexible expansion technique for multifactor & multivariable transmission network planning. Simulation results demonstrate the model can improve the economical efficiency of planning scheme, and the parallel Particle Swarm Optimization can improve the velocity and convergence performance of planning.