A Decomposition-Technique-Based Algorithm for Nonlinear Large Scale Mesh-Interconnected System and Application(Systems and Control)

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概要

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• In this paper, we propose two techniques to solve the nonlinear constrained optimization problem in large scale mesh-interconnected system. The first one is a diagram-method-based decomposition technique which decomposes the large scale system into some small subsystems. The second technique is a projected-Jacobi-based parallel dual-type method which can solve the optimization problems in the decomposed subsystems efficiently. We have used the proposed algorithm to solve numerous examples of large scale constrained optimization problems in power system. The test results show that the proposed algorithm has computational efficiency with respect to the conventional approach of the centralized Newton method and the state-of-the-art Block-Parallel Newton method.

• 社団法人電子情報通信学会の論文
• 2006-10-01

著者

• Lin Shieh-shing

  Department Of Electrical Engineering St. John's University

• CHANG Huay

  Department of Information System, Chihlee Institute of Technology

• Chang Huay

  Department Of Information System Chihlee Institute Of Technology

関連論文

• An Experiment for Estimating Accurate States in Distributed Power Systems
• Ordinal Optimization Approach for Throughput Maximization Problems in MOFDM Uplink System
• 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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