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Active Distribution Network Optimization Based on Mixed Integer Linear Programming

Kai Zong 1, Hui Hui 2, Xin Zhang 1, Qun Ma 1, Xiao Li 3, and Mingqiang Wang 3
1. Heze Power Supply Company, Heze, China
2. China Electric Power Research Institute, Beijing, China
3. School of Electrical Engineering, Shandong University, Jinan, China

Abstract—Various distribution network optimization techniques considering Distributed Generations (DGs) are reviewed in this paper, and a new optimization method based on Mixed Integer Linear Programming (MILP) is proposed. The proposed methodology optimizes the capacity of DGs and the optimal feeder line capacity simultaneously by a cost/benefit analysis. Besides, the line loss in distribution network is explicitly analyzed by using four different methods in the paper. For simplicity, the line loss can be appropriately simplified as a quadratic function of difference of voltage phase angle. Then it is further linearized by using different linearization strategies and then compared with the results by using Mixed Integer Nonlinear Programming (MINLP) method. Finally, the proposed active distribution network planning model with selected linearization technique is tested on the IEEE 33-node distribution network system.

Index Terms—active distribution network, distributed generation, mixed integer linear programming, linearized system loss

Cite: Kai Zong, Hui Hui, Xin Zhang, Qun Ma, Xiao Li, and Mingqiang Wang, "Active Distribution Network Optimization Based on Mixed Integer Linear Programming," International Journal of Electrical Energy, Vol. 6, No. 1, pp. 1-6, June 2018. doi: 10.18178/ijoee.6.1.1-6

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