Peng Li, Jie Ji, Sirui Chen, 等. Multi-stage expansion planning of energy storage integrated soft open points considering tie-line reconstruction[J]. 现代电力系统保护与控制(英文), 2022,7(4).
Peng Li, Jie Ji, Sirui Chen, et al. Multi-stage expansion planning of energy storage integrated soft open points considering tie-line reconstruction[J]. Protection and Control of Modern Power Systems, 2022, 7(4).
Peng Li, Jie Ji, Sirui Chen, 等. Multi-stage expansion planning of energy storage integrated soft open points considering tie-line reconstruction[J]. 现代电力系统保护与控制(英文), 2022,7(4).DOI: 10.1186/s41601-022-00268-5.
Peng Li, Jie Ji, Sirui Chen, et al. Multi-stage expansion planning of energy storage integrated soft open points considering tie-line reconstruction[J]. Protection and Control of Modern Power Systems, 2022, 7(4).DOI: 10.1186/s41601-022-00268-5.
Multi-stage expansion planning of energy storage integrated soft open points considering tie-line reconstruction
With the rapid development of flexible interconnection technology in active distribution networks (ADNs)
many power electronic devices have been employed to improve system operational performance. As a novel fully-controlled power electronic device
energy storage integrated soft open point (ESOP) is gradually replacing traditional switches. This can significantly enhance the controllability of ADNs. To facilitate the utilization of ESOP
device locations and capacities should be configured optimally. Thus
this paper proposes a multi-stage expansion planning method of ESOP with the consideration of tie-line reconstruction. First
based on multi-terminal modular design characteristics
the ESOP planning model is established. A multi-stage planning framework of ESOP is then presented
in which the evolutionary relationship among different planning schemes is analyzed. Based on this framework
a multi-stage planning method of ESOP with consideration of tie-line reconstruction is subsequently proposed. Finally
case studies are conducted on a modified practical distribution network
and the cost–benefit analysis of device and multiple impact factors are given to prove the effectiveness of the proposed method.