Electrical Engineering  2015, Vol. 16 Issue (01): 32-35    DOI:
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The Particle Swarm Optimization Algorithm Basing on JADE Platform for the Economic Dispatch
Chen Zhihui
Faculty of Automation,Guangdong University of Technology,Guangzhou 510006

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Abstract  Because the standard particle swarm algorithm is prone to “premature” problem,this paper puts forward the improved particle swarm algorithm based on JADE platform.By introducing a small probability variation and adding dynamic inertia weight method,the algorithm retains the diversity of population and improve the global search ability of the algorithm. Multi-agent platform can greatly enhance the algorithm’s parallelism and can effectively solve the problem of large-scale complex system.Through testing on 40 units of economic operation model and to compare the improved particle swarm algorithm based on MATLAB platform.Test results show that the proposed algorithm has better convergence accuracy,algorithm is feasible.
Key wordsJADE      Economic Dispatch      PSO      Multi-Agent     
Received: 22 January 2015      Published: 19 January 2015
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Chen Zhihui
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Chen Zhihui. The Particle Swarm Optimization Algorithm Basing on JADE Platform for the Economic Dispatch[J]. Electrical Engineering, 2015, 16(01): 32-35.
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https://dqjs.cesmedia.cn/EN/Y2015/V16/I01/32
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