Determination of the optimal installation site and capacity of battery energy storage system in distribution network integrated with distributed generation
被引:94
作者:
Xiao, Jun
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h-index: 0
机构:
Tianjin Univ, Minist Educ, Key Lab Smart Grid, Tianjin 300072, Peoples R ChinaTianjin Univ, Minist Educ, Key Lab Smart Grid, Tianjin 300072, Peoples R China
Xiao, Jun
[1
]
Zhang, Zequn
论文数: 0引用数: 0
h-index: 0
机构:
Tianjin Univ, Minist Educ, Key Lab Smart Grid, Tianjin 300072, Peoples R ChinaTianjin Univ, Minist Educ, Key Lab Smart Grid, Tianjin 300072, Peoples R China
battery storage plants;
distributed power generation;
optimisation;
load flow;
power generation scheduling;
optimal installation site determination;
battery energy storage system;
distribution network;
distributed generation;
photovoltaic generation;
wind generation;
bi-level optimisation model;
total net present value;
NPV;
project life cycle;
optimal power flow;
OPF;
BESS capacity adjustment method;
BESS optimal scheduling;
battery lifetime;
modified IEEE 33-bus system;
network losses;
OPTIMAL ALLOCATION;
GRIDS;
PENETRATION;
POWER;
D O I:
10.1049/iet-gtd.2015.0130
中图分类号:
TM [电工技术];
TN [电子技术、通信技术];
学科分类号:
0808 ;
0809 ;
摘要:
The presence of distributed generation (DG), represented by photovoltaic generation and wind generation, brings new challenges to distribution network operation. To accommodate the integration of DG, this study proposes a bi-level optimisation model to determine the optimal installation site and the optimal capacity of battery energy storage system (BESS) in distribution network. The outer optimisation determines the optimal site and capacity of BESS aiming at minimising total net present value (NPV) of the distribution network within the project life cycle. Then optimal power flow (OPF) and BESS capacity adjustment are implemented in the inner optimisation. OPF optimises the scheduling of BESS and network losses. On the basis of optimal scheduling of BESS, a novel capacity adjustment method is further proposed to achieve the optimal BESS capacity considering battery lifetime for minimising the NPV of BESS. Finally, the proposed method is performed on a modified IEEE 33-bus system and proven to be more effective comparing with an existing method without BESS capacity adjustment.