Fast Optimization of Power Supply Route for the Complex Active Distribution Network
Chi Jiyun1, Wei Gang1, Li Gongxin2, Li Qinyu3, Zhang Jiakun1
1. Shanghai University of Electric Power Shanghai 200090 China; 2. Fujian Electric Power Corporation Fuzhou 350000 China; 3. Shanghai Municipal Electric Power Corporation Shanghai 200233 China
Abstract：The increasing complexity of network structure and the uncertainty of distributed generation wide access bring out the power supply route optimization issue in active distribution network. Traditional distribution network reconfiguration methods are hard to meet the rapidity requirements. For the output volatility of wind turbine and photovoltaic power, based on the construction of the probability model of the scene, outputting segmentation is carried out on time scale, and the complex search space is simplified by the trees generation method without duplications. It can avoid repetitive radiation calibration, and reduce the redundancy of the solution space. The model is solved by the improved encoding method and the modified teaching learning based optimization algorithm. The search speed and global optimization ability are improved. Examples demonstrate that the proposed method is fast and effective.
迟吉运, 韦钢, 李功新, 李沁愉, 张嘉堃. 复杂有源配电网供电路径快速优化[J]. 电工技术学报, 2017, 32(13): 219-228.
Chi Jiyun, Wei Gang, Li Gongxin, Li Qinyu, Zhang Jiakun. Fast Optimization of Power Supply Route for the Complex Active Distribution Network. Transactions of China Electrotechnical Society, 2017, 32(13): 219-228.
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2017, Vol. 32 
