Abstract:
This paper proposes a decentralized strategy for the multi-area optimal transmission switching (OTS) problem. We illustrate the decentralized framework for this problem, ...Show MoreMetadata
Abstract:
This paper proposes a decentralized strategy for the multi-area optimal transmission switching (OTS) problem. We illustrate the decentralized framework for this problem, which is able to help reduce model scale and communication burden. Each area operator (AO) governs its subsystem and decides the OTS independently. Then each AO coordinates with the adjacent areas by sharing the corresponding information. The augmented Lagrange function (ALF) is utilized to relax and decompose the primal centralized OTS problem into decentralized subproblems for each subsystem. A two-level iterative alternating direction method of multipliers (ADMM) is adopted to co-optimize these subproblems. The upper level is used to fix the binary variables, while the lower level is the standard ADMM method, which guarantees the accuracy of the relaxed subproblem. Numerical tests on a two-area 12-bus system and a modified IEEE RTS-96 system show the effectiveness of the proposed strategy and solution technique.
Published in: 2018 IEEE Power & Energy Society General Meeting (PESGM)
Date of Conference: 05-10 August 2018
Date Added to IEEE Xplore: 23 December 2018
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State Key Lab of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan, China
State Key Lab of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan, China
State Key Lab of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan, China
College of Electrical Engineering, Zhejiang University, Hangzhou, China
College of Electrical Engineering, Zhejiang University, Hangzhou, China
State Key Lab of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan, China
State Key Lab of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan, China
State Key Lab of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan, China
College of Electrical Engineering, Zhejiang University, Hangzhou, China
College of Electrical Engineering, Zhejiang University, Hangzhou, China