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A Parallel Algorithm for Unit Commitment Including AC Power Flow Constraints |
Jiang Quanyuan1, Zhang Mingze1, Gao Qiang2 |
1. Zhejiang University Hangzhou 310027 China 2. Suzhou Changshu Power Supply Company Suzhou 215500 China |
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Abstract A new parallel algorithm for unit commitment including AC power flow constraints is proposed. This algorithm employs a new augmented Lagrange relaxation method that involves the variable duplication technique and auxiliary problem principle to convert the primal problem into its dual problem, and obtain the separation structure of the Lagrangian function which can be decoupled into dynamic programming subproblem and optimal power flow (OPF) subproblem. Predictor-corrector interior point method is applied to solve OPF subproblem. Parallel computing is used to accelerate the computational speed. The numerical results on IEEE118 and IEEE300 cases show that the proposed algorithm has good convergence performance, is very suitable for parallel processing.
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Received: 11 November 2008
Published: 17 February 2014
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