A MPBSG Technique Based Parallel Dual-Type Method Used for Solving Distributed Optimal Power Flow Problems

  • Authors:

  • Huay Chang;Shieh-Shing Lin

  • Affiliations:

  • The author is with the Department of Information System, Chihlee Institute of Technology, Taiwan. E-mail: cecilia2chang@yahoo.com.tw,;The author is with the Department of Electrical Engineering, St. John's University, Taiwan.

  • Venue:
  • IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
  • Year:
  • 2006

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Abstract

In this paper, we propose a method to solve the distributed optimal power flow problem and discuss the associated implementation. We have combined this method with a projected Jacobi (PJ) method and a modified parallel block scaled gradient (MPBSG) method possessing decomposition effects. With the decomposition, our method can be parallel processed and is computationally efficient. We have tested our method for distributed OPF problems on numerous power systems. As seen from the simulation results, our method achieved a dramatic speed-up ratio compared with the commercial IMSL subroutines.