The Study on Electric Power System Based on Swarm Intelligence

Abstract:

In this paper, we introduce the swarm intelligence computation and its applications in power system. Because swarm intelligence does not need any precondition of centralized control and global model, it is very suitable to solve large scale power system nonlinear optimization problems which are hard to establish effective formalized models and difficult to be solved by traditional methods. In order to apply swarm intelligence better in power system, we propose two central research directions in the future: (1) The mathematical basis of swarm intelligence is unsubstantial and it lacks profound and pervasive theoretical analysis, so we must analysis its convergence and selection of parameters, especially the parameter selection of large scale power system optimization problems. (2) Because swarm intelligence is internally parallel, we should realize it based on the parallel computation theory. This work will also be helpful for the real-time need of power system.

• Periodical: Advanced Materials Research (Volume 442)
• Pages: 424-429
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.442.424
• Online since: January 2012
• Authors: Ze Sheng Xu, Zhi Feng Ma, Xin Wen Di, Tao Luo, Hong Yun Guo, Bao Chen Niu
• Keywords: Particle Swarm Optimization Algorithm (PSO), Population-Based Immune Algorithm, Power System, Swarm Intelligence

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