Optimization Strategy for Improving Power Supply Capacity in Distribution Networks with Electric Vehicle Integration

2019 4th Asia Conference on Power and Electrical Engineering

能源学;电工学

Ning, Yonglong^1 ; Zou, Meng^1 ; Luo, Rongmao^1 ; Zhang, Xiaolei^1 ; Wang, Yang^1

State Grid Wuzhong Electric Power Company, Wuzhong, Ningxia Province

751100, China^1

关键词: Ant colony algorithms;    Cholesky decomposition;    Latin hypercube sampling methods;    Model and algorithms;    Optimization strategy;    Power supply capabilities;    Scenarios generation;    Uncertain parameters;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/486/1/012054/pdf
DOI  :  10.1088/1757-899X/486/1/012054

来源: IOP

【 摘 要 】

In order to alleviate the heavy air pollution problem in China in recent years, power energy alternative loads, such as electric vehicles, are widely integrated into distribution networks, which has a significant impact on power supply capability of distribution networks. In this paper, considering the randomness of electric vehicles, probabilistic multiple scenarios generation method is proposed based on Latin hypercube sampling method, Cholesky decomposition and synchronous back-off reduction, realizing the quick scenario generation with the balance of scenario number and precision. Based on probabilistic multi-scene, taking the power supply ability of distribution network as the main objective, a robust operation optimization model of distribution network containing electric vehicles is established in order to optimize the opening and closing status of the switches. Ant colony algorithm based on the Pareto optimal is adopted to solve the model. A modified IEEE 33 node system is used to verify the effectiveness of the model and algorithm, and simulation results show that the proposed method can effectively promote the power supply ability of distribution networks, and can greatly improve the computational efficiency of the model in the case that lots of uncertain parameters exist due to large-scale integration of electric vehicles.