Abstract：Distributed generations (DGs) have been interconnected to distribution networks in large-scale, which has affected the economic operation and power quality a lot. It is important to allocate the DGs reasonably. The output of DGs and the loads in distribution networks are of uncertainty, so this paper proposes the optimization layout model of DGs in distribution network with considering uncertainty factors of DGs' power output and node load. Firstly, taking the minimization of the network loss, the maximum of the voltage stability and the minimization of the voltage deviation as the optimization targets, we establish the locating and sizing model of DGs using chance-constrained programming method. Then, we solve the model using generalized regression neural networks and multi-objective particle swarm optimization algorithm and obtain the Pareto optimal solutions. Finally, we verify the validity of the proposed model through IEEE 37 bus distribution system.
标题：考虑不确定性因素的配电网分布式电源选址定容
title:Locating and Sizing of Distributed Generations in Distribution Network Considering Uncertainties
