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Exact Penalty Function based Constraint Relaxation Method for Optimal Power Flow Considering Wind Generation Uncertainty
IEEE Transactions on Power Systems
  • Tao Ding
  • Rui Bo, Missouri University of Science and Technology
  • Fangxing Li
  • Yang Gu
  • Qinglai Guo
  • Hongbin Sun
Abstract

This letter presents a constraint relaxation optimal power flow (OPF) model to tackle the issues when traditional OPF is infeasible under large variations such as wind generation output. In this model, the original hard constraints are relaxed into soft constraints and the objective function is adjusted for the cost of constraint violations. To guarantee the equivalence to the original OPF model when there are feasible solutions, an exact penalty function method is introduced to justify the selection of penalty factor of constraint violations. By solving an optimization problem, the lower bound of the proper penalty factor is obtained. The results of a 6-bus test system show that the proposed method achieves the same solution when the original OPF has feasible region, and an optimal solution can be obtained with minimum constraint violation when original OPF has no feasible region. Lastly, three large IEEE systems are tested to verify the effectiveness of proposed method.

Department(s)
Electrical and Computer Engineering
Keywords and Phrases
  • Acoustic Generators,
  • Electric Load Flow,
  • Optimization,
  • Wind Power,
  • Bi-Level Programming,
  • Constraint Relaxation,
  • Exact Penalty Functions,
  • Karush-Kuhn-Tucker Condition,
  • Optimal Power Flows,
  • Functions,
  • Exact Penalty Function,
  • Karush-Kuhn-Tucker (KKT) Conditions,
  • Optimal Power Flow (OPF)
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2015 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
5-1-2015
Publication Date
01 May 2015
Citation Information
Tao Ding, Rui Bo, Fangxing Li, Yang Gu, et al.. "Exact Penalty Function based Constraint Relaxation Method for Optimal Power Flow Considering Wind Generation Uncertainty" IEEE Transactions on Power Systems Vol. 30 Iss. 3 (2015) p. 1546 - 1547 ISSN: 0885-8950
Available at: http://works.bepress.com/rui-bo/31/