DocumentCode
70104
Title
Economic Analysis and Optimal Design on Microgrids With SS-PVs for Industries
Author
Meiqin Mao ; Peng Jin ; Liuchen Chang ; Haibo Xu
Author_Institution
Res. Center for Photovoltaic Syst. Eng. of Minist. of Educ., Hefei Univ. of Technol., Hefei, China
Volume
5
Issue
4
fYear
2014
fDate
Oct. 2014
Firstpage
1328
Lastpage
1336
Abstract
This paper proposes an optimal design model of microgrids with small-scale photovoltaic systems (SS-PVs) and storage batteries for industries along with three economic evaluation indicators. The proposed indicators are levelized energy cost, emission reduction benefits, and payback period. They are combined to comprehensively evaluate economic performances and investment risk of the microgrids. The optimal model considering local solar insolation level, environment benefits, different operation modes, and initial investment costs is formulated and applied to obtain the optimal configuration of the microgrids with SS-PVs by particle swarm optimization (PSO) method. The simulation results based on 4-month real operation data of a 500-kW PV microgrid for industries in Guangdong, China, have verified that the optimal design by the proposed method can meet the technical requirements as well as the economic performances, thus effectively optimizing the microgrid with SS-PVs for industries in both economic and environmental aspects. Furthermore, the sensitivity analysis of the impact of different parameters on the system is also performed. The results provide a reference for the application of similar projects.
Keywords
air pollution control; battery storage plants; costing; distributed power generation; investment; particle swarm optimisation; photovoltaic power systems; power distribution economics; power generation economics; Guangdong China; PSO method; SS-PV; batteries storage; economic evaluation indicator; emission reduction benefit; environment benefit; investment risk; levelized energy cost; local solar insolation level; microgrid; optimal design model; particle swarm optimization method; payback period; power 500 kW; sensitivity analysis; small-scale photovoltaic system; time 4 month; Batteries; Economics; Investment; Microgrids; Photovoltaic systems; Power generation; Sensitivity analysis; Economic analysis; microgrid with small-scale photovoltaic systems (SS-PVs); optimal design; sensitivity analysis;
fLanguage
English
Journal_Title
Sustainable Energy, IEEE Transactions on
Publisher
ieee
ISSN
1949-3029
Type
jour
DOI
10.1109/TSTE.2014.2327067
Filename
6843997
Link To Document