TY - GEN
T1 - A Reliability-based DG Planning Method against Ice Storm Weather
AU - Lin, Chaofan
AU - Fang, Di
AU - Bie, Zhaohong
AU - Gao, Liang
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/5
Y1 - 2019/5
N2 - The ice storm, characterized by freezing rain, would cause great damages to power system transmission lines and towers, which significantly affects the normal power supply. Distributed generation (DG) installation is considered as an efficient way to improve the power system resilience against natural hazards. However, current studies have hardly focused on the reliability-based DG planning considering the extreme weathers. To address the problem, this paper establishes a complete scheme for DG planning under a specific ice storm weather example. After consecutive three steps of ice storm modelling, reliability evaluation and optimization, an optimal DG allocation plan is obtained to reduce the ice-storm-related economic loss as much as possible. Case study on IEEE 33 bus system shows that the DG plan by the proposed method will help system operator reduce nearly 2.8 million yuan's loss a year, which shows great practicability and advantage in future analysis and decision of distribution system planning.
AB - The ice storm, characterized by freezing rain, would cause great damages to power system transmission lines and towers, which significantly affects the normal power supply. Distributed generation (DG) installation is considered as an efficient way to improve the power system resilience against natural hazards. However, current studies have hardly focused on the reliability-based DG planning considering the extreme weathers. To address the problem, this paper establishes a complete scheme for DG planning under a specific ice storm weather example. After consecutive three steps of ice storm modelling, reliability evaluation and optimization, an optimal DG allocation plan is obtained to reduce the ice-storm-related economic loss as much as possible. Case study on IEEE 33 bus system shows that the DG plan by the proposed method will help system operator reduce nearly 2.8 million yuan's loss a year, which shows great practicability and advantage in future analysis and decision of distribution system planning.
KW - Ice storm
KW - distributed generation
KW - power system resilience
KW - reliability.
UR - https://www.scopus.com/pages/publications/85074939996
U2 - 10.1109/ISGT-Asia.2019.8881277
DO - 10.1109/ISGT-Asia.2019.8881277
M3 - 会议稿件
AN - SCOPUS:85074939996
T3 - 2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019
SP - 4002
EP - 4007
BT - 2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019
Y2 - 21 May 2019 through 24 May 2019
ER -
