标题：Multi-objective Comprehensive Optimization of Distribution Network considering the randomness of DG (Open Access)
作者：Gao, Haishu ;Ji, Xingquan ;Li, Kejun ;Wu, Na
作者机构：[Gao, Haishu ;Ji, Xingquan ;Wu, Na ] School of Electrical and Automation Engineering, Shandong University of Science and Technology, Qingdao, Shandong 更多
会议名称：2019 2nd International Conference on Advanced Materials, Intelligent Manufacturing and Automation, AMIMA 2019
会议日期：May 17, 2019 - May 19, 2019
来源：IOP Conference Series: Materials Science and Engineering
摘要：In recent years, distributed generation technology develops rapidly due to its' flexible and environment-friendly nature. In order to better analyze the impact of DG on the economics and safety of distribution networks, a probability model for random load, micro gas turbines and photovoltaic power generation system is formulated. With the objective of minimizing the network loss, lowest static insecurity probability, and the lowest cost of purchasing electricity, the optimization of distribution network with distributed generation is carried out by adjusting the distribution network topology and the output of controllable DG. The stochastic power flow is combined with the particle swarm optimization algorithm to obtain the Pareto non-inferior solution set, and then the subject is selected to obtain the optimal solution. Finally, simulations are carried out on the IEEE 33-bus test system and it is shown that the optimized network can effectively reduce the network loss and static insecurity probability on the basis of low cost of purchasing electricity.
© Published under licence by IOP Publishing Ltd.