DocumentCode
234223
Title
Research on operation optimization strategy of grid-connected PV-battery system
Author
Wei Cao ; Yang Du ; Xiaoqing Qi ; Lijun Ji
Author_Institution
Sch. of Electr. Power, Shanghai Univ. of Electr. Power, Shanghai, China
fYear
2014
fDate
19-22 Oct. 2014
Firstpage
272
Lastpage
279
Abstract
The optimization strategy is proposed for the grid-connected PV-battery system in order to gain the maximum benefit. The proposed operation optimization is performed in two steps. In the first step, active power optimization is applied, which is aimed at the minimum operation cost (or the maximum system benefits). In the second step, reactive power optimization is applied based on the result of active power optimization, aimed at the minimum network loss. The charge-discharge cycle constraints and power limit constraints are considered in the battery model. IEEE-30 network is used for case study. Two kinds of electricity price schemes are used to examine the effect of the proposed operation optimization strategy.
Keywords
battery storage plants; genetic algorithms; hybrid power systems; photovoltaic power systems; power generation economics; IEEE-30 network; active power optimization; battery model; charge-discharge cycle constraints; electricity price schemes; grid-connected PV-battery system; operation optimization strategy; power limit constraints; reactive power optimization; Batteries; Electricity; Load flow; Load modeling; Optimization; Reactive power; PV-battery; economic operation; genetic algorithm; grid-connected; optimization strategy;
fLanguage
English
Publisher
ieee
Conference_Titel
Renewable Energy Research and Application (ICRERA), 2014 International Conference on
Conference_Location
Milwaukee, WI
Type
conf
DOI
10.1109/ICRERA.2014.7016569
Filename
7016569
Link To Document