Coordination Optimal Scheduling Strategy for Transmission and Distribution System Based on Improved CSSO Algorithm
Ye Chang, Miao Shihong, Li Chao, Yang Weichen, Sun Dandan
State Key Laboratory of Advanced Electromagnetic Engineering and TechnologySchool of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan 430074 China
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.
叶畅, 苗世洪, 李超, 杨炜晨, 孙丹丹. 基于改进并行子空间算法的输配两级电网协同优化[J]. 电工技术学报, 2018, 33(23): 5509-5522.
Ye Chang, Miao Shihong, Li Chao, Yang Weichen, Sun Dandan. Coordination Optimal Scheduling Strategy for Transmission and Distribution System Based on Improved CSSO Algorithm. Transactions of China Electrotechnical Society, 2018, 33(23): 5509-5522.
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