Location Optimization of Distributed Generation Based on Improved Particle Swarm Optimization Considering Permeability

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 optim...

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Bibliographic Details
Published inIOP conference series. Earth and environmental science Vol. 440; no. 3; pp. 32132 - 32137
Main Authors Xing, Yahong, Wang, Zheng, Zhao, Haibo, Shen, Zeyuan, Wang, Yao, Zhang, Zhi, Hu, Ende
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.02.2020
Subjects
Distributed generation
Greedy algorithms
Optimization
Particle swarm optimization
Permeability
Power sources
Stability analysis
Voltage
Voltage stability
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Summary: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.
ISSN:1755-1307
1755-1315
DOI:10.1088/1755-1315/440/3/032132