DocumentCode
1756169
Title
Optimal Charging/Discharging Scheduling of Battery Storage Systems for Distribution Systems Interconnected With Sizeable PV Generation Systems
Author
Jen-Hao Teng ; Shang-Wen Luan ; Dong-Jing Lee ; Yong-Qing Huang
Author_Institution
Dept. of Electr. Eng., Nat. Sun Yat-Sen Univ., Kaohsiung, Taiwan
Volume
28
Issue
2
fYear
2013
fDate
41395
Firstpage
1425
Lastpage
1433
Abstract
Utilizing battery storage systems (BSSs) can reduce the intermittent output of PV generation systems (PVGSs) and make them dispatchable. The aim of this paper is to design an optimal charging/discharging scheduling for BSSs such that the line loss of distribution systems interconnected with sizeable PVGSs can be minimized. A mathematical model for BSSs which can be used to simulate the charging procedures such as the commonly-used constant current to constant voltage (CC-CV) charging method, the discharging procedures and the state of charge (SOC) is proposed first. The minimum line loss problem considering the intermittent output of PVGSs and the scheduling of BSSs is then formulated based on the BSS mathematical model. The optimal charging/discharging scheduling of BSSs can then be obtained by a genetic algorithm (GA) based method. Test results demonstrate the validity of the proposed mathematical model and optimal charging/discharging scheduling for BSSs.
Keywords
battery storage plants; genetic algorithms; photovoltaic power systems; power generation dispatch; power generation scheduling; power system interconnection; BSS; PV generation systems; PVG; SOC; battery storage systems; constant current; constant voltage charging method; distribution systems interconnection; genetic algorithm; intermittent output; mathematical model; optimal charging-discharging scheduling; state of charge; Batteries; Mathematical model; Power generation; Sociology; Statistics; System-on-a-chip; Temperature; Battery storage system; charging/discharging scheduling; genetic algorithm; photovoltaic generation system; state of charge;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/TPWRS.2012.2230276
Filename
6378415
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