Optimal distributed power supply configuration considering user expectations and low carbon benefits
Li Jiyu1, Jiang Xiubo1, Li Gongxin2
1. College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108; 2. Sate Grid Fujian Provincial Electric Power Co., Ltd, Fuzhou 350001
Abstract：Large-scale distributed power supply access to the distribution network will have a profound impact on the distribution network. Rational allocation of distributed power supply can maximize its role in reducing network losses and improving system stability. Considering the characteristics of load timing, this paper uses K-Medoids clustering algorithm to cluster the annual load, and fully considers the low-carbon benefits and user expectations after the distributed generation is connected to the distribution network, and establishes an optimal allocation model considering network loss, power purchase cost and equipment construction cost. The objective function of the model is to minimize the annual comprehensive social cost, and an improved adaptive genetic algorithm is used to solve the model. Finally, an optimal configuration model based on the IEEE 33 node system is constructed to verify the effectiveness of this method.
2019, Vol. 20 
