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An intelligent binary particle swarm optimization for unit commitment problem

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2 Author(s)
Pirhayati, Y. ; Electr. Eng. Dept., Zanjan Univ., Zanjan, Iran ; Mazlumi, K.

This paper presents an intelligent binary particle swarm optimization (IBPSO) scheme with the Lambda-iteration method to solve the unit commitment problem (UCP). The UCP is considered as two linked optimization sub-problems: the unit-scheduled problem that can be solved by the BPSO method for the minimization of the transition cost, and the economic dispatch (ED) problem that can be solved by the Lambda-iteration method for the minimization of the production cost. Problem formulation of the UC takes into consideration the minimum up and down time constraints, start-up cost, and spinning reserve and is defined as the minimization of the total objective function while satisfying all the associated constraints. Problem formulation, representation, and the simulation results for a ten generator-scheduling problem are presented.

Published in:

Power and Energy (PECon), 2010 IEEE International Conference on

Date of Conference:

Nov. 29 2010-Dec. 1 2010