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Dynamic economic dispatch in electricity market using particle swarm optimization algorithm

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3 Author(s)
Bo Zhao ; Coll. of Electr. Eng., Zhejiang Univ., China ; Chuangxin Guo ; Yijia Cao

This paper has proposed a bid-based dynamic economic dispatch model to maximize the social profit in a competitive electricity market. The model synthetically considers various constraints such as ramp rates, transmission line capacity and emission constraints to obtain a physically feasible resource scheduling. A particle swarm optimization (PSO) algorithm is applied to solve the problem. Numerical simulation results show that the proposed PSO method is capable of obtaining high quality dispatch solution efficiently; furthermore, the algorithm is versatile and robust.

Published in:

Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on  (Volume:6 )

Date of Conference:

15-19 June 2004

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