DocumentCode
135596
Title
Operation strategies for energy storage systems in distribution networks
Author
Bozchalui, Mohammad Chehreghani ; Sharma, Ritu
Author_Institution
NEC Labs. America, Inc., Cupertino, CA, USA
fYear
2014
fDate
27-31 July 2014
Firstpage
1
Lastpage
5
Abstract
This paper investigates various strategies for operation scheduling of Energy Storage Systems (ESS) in distribution systems, and proposes an optimization-based method to optimally operate ESS in coordination with Renewable Energy Resources (RERs) and load variations. Mathematical models for operation of ESS are developed and incorporated in a three-phase unbalanced Distribution Optimal Power Flow (DOPF) optimization model. The proposed model generates optimal charge/discharge schedules of ESS, while satisfying distribution network operational constraints such as voltage limits. Various simulations are carried out to analyze the impacts of different operation strategies on the performance of the system, and highlight the effectiveness of the proposed method in optimally operating distribution networks with ESS and RERs. Presented results show that considerable improvement in the efficiency of distribution system operation, e.g., reductions in losses, peak demand, and energy, could be achieved using the proposed optimal operation scheduling of ESS.
Keywords
distribution networks; energy storage; load flow; optimisation; renewable energy sources; scheduling; secondary cells; DOPF optimization model; ESS; RER; charge-discharge schedules; distribution networks; distribution optimal power flow; distribution system operation; energy storage systems; mathematical models; operation scheduling; optimization-based method; renewable energy resources; Discharges (electric); Energy storage; Linear programming; Load flow; Mathematical model; Minimization; Peak to average power ratio; Energy storage; distribution systems; microgrid; optimal power flow; optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
PES General Meeting | Conference & Exposition, 2014 IEEE
Conference_Location
National Harbor, MD
Type
conf
DOI
10.1109/PESGM.2014.6939483
Filename
6939483
Link To Document