Investment decision optimization for distribution network planning with correlation constraint
Yanxin Chai, Yue Xiang, Junyong Liu, Fei Teng, Haotian Yao, Yang Wang
Abstract
With the increasing access of distributed generation (DG), the investment decision of distribution network (DN) has become a large-scale portfolio optimization problem with various reconstruction strategies, which reduces the applicability of the traditional investment decision optimization model. Therefore, aiming at reliability of DN, a novel deep belief networks (DBN)-based correlation constraint-integrated investment decision model is proposed in this paper. With the DBN-based correlation constraint replacing the nonlinear and nonconvex constraints in the traditional model, a new investment decision model is established aiming at maximizing the reliability index and minimizing the total investment cost. In this way, the effects of different reconstruction strategies can be analysed, from which the optimal investment reconstruction plans are identified. Finally, an example of a regional distribution network in a city is provided to verify the rapidity, feasibility, and effectiveness of the investment decision model.