A MPBSG Technique Based Parallel Dual-Type Method Used for Solving Distributed Optimal Power Flow Problems(Systems and Control)

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概要

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• 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.

• 社団法人電子情報通信学会の論文
• 2006-01-01

著者

• Lin Shieh‐shing

  St. John's Univ. Twn

• Lin Shieh-shing

  Department Of Electrical Engineering St. John's University

• Chang Huay

  Department Of Information System Chihlee Institute Of Technology

関連論文

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• A Decomposition-Technique-Based Algorithm for Nonlinear Large Scale Mesh-Interconnected System and Application(Systems and Control)
• A MPBSG Technique Based Parallel Dual-Type Method Used for Solving Distributed Optimal Power Flow Problems(Systems and Control)
• A Parallel Implementation of the PBSGDS Method for Solving CBAU Optimization Problems(Systems and Control)
• A Parallel Algorithm for NMNF Problems with a Large Number of Capacity Constraints(Numerical Analysis and Optimization)

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