Open AccessLocation Optimization of Distributed Generation Based on Improved Particle Swarm Optimization Considering Permeability
Author(s) -
Yaowen Xing,
Zheng Wang,
Haibo Zhao,
Zeyuan Shen,
Yao Wang,
Zhang Zhi,
En Hu
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/440/3/032132
Subject(s) - distributed generation , particle swarm optimization , computer science , mathematical optimization , range (aeronautics) , node (physics) , distributed computing , engineering , renewable energy , mathematics , algorithm , electrical engineering , structural engineering , aerospace engineering
Currently, existing location methods are difficult to adapt to increasingly distributed generation (DG), owing to the rapid growth of distributed accessing scale and the uncertainty of time and space in new energy generation. In this paper, a novel combined Greedy algorithm (GA)/particle swarm optimization (PSO) is proposed for optimal location of DG on distribution systems. The impact of different access locations of distributed power sources on network loss and voltage distribution of distribution network is analyzed. Considering the minimum network loss and voltage stability, the permeability range of different access modes to distributed power generation is proposed. Finally, the feasibility of this method is verified by IEEE-33 node distribution network.