基于改进并行子空间算法的输配两级电网协同优化

doi:10.19595/j.cnki.1000-6753.tces.171759

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Abstract In view of the unbalanced boundary power and insufficient utilization of grid resources resulted from traditional separation scheduling schemes, a coordination optimal scheduling strategy was proposed to optimize the transmission and distribution (T&D) system from an overall perspective. Firstly, taking the minimum power supply cost as the objective function, a basic scheduling model was established and the corresponding constraints were discussed. In order to reduce complexity of solving the aforesaid model, an improved concurrent subspace optimization (CSSO) algorithm was introduced, and then a universal model of coordination optimal scheduling for the T&D system was established. This universal model regards the T&D grids as concurrent subspaces for disciplinary analysis, and completes the optimal design unified in the system layer. In addition, construction method of response surface approximation model was proposed, in order to imitate the discipline analysis process by RBF neural networks. The results illustrate the availability and necessity of the proposed strategy.

Key words： Integration of transmission and distribution optimal scheduling concurrent subspace optimization RBF neural networks response surface

Received: 02 January 2018 Published: 17 December 2018

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	Ye Chang
	Miao Shihong
	Li Chao
	Yang Weichen
	Sun Dandan

Cite this article:

Ye Chang,Miao Shihong,Li Chao等. Coordination Optimal Scheduling Strategy for Transmission and Distribution System Based on Improved CSSO Algorithm[J]. Transactions of China Electrotechnical Society, 2018, 33(23): 5509-5522.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.171759 OR https://dgjsxb.ces-transaction.com/EN/Y2018/V33/I23/5509

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