TY - GEN
T1 - Coordinated Restoration Model of Renewable Energy and Conventional Generator Units after Faults
AU - Zhang, Zhenyu
AU - Wang, Weizhou
AU - Lyu, Jia
AU - Li, Yitong
AU - Liu, Jun
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - Utilizing the islanding operation ability of the renewable energy generators to restore as much power supply after faults, can not only increase the consumption of renewable energy, but also enhance the power supply reliability of the power system, thereby improve the resilience of the power system. This paper proposes a novel coordinated restoration model to optimize the islanding partition stage for a total or partial blackout system. Firstly the restoration principles of generators in the system restoration process after fault, are proposed in terms of factors that affect the restoration priority. An analytic hierarchy model is then proposed to determine the main generators for islands based on the principles. Secondly, an islanding model is established to divide the total or partial blackout system into optimal electricity supply islands with the main generators obtained as root nodes. The islanding optimization model is solved using an improved genetic algorithm. Finally, case studies are performed to verify the effectiveness of the proposed coordinated restoration model and solving method.
AB - Utilizing the islanding operation ability of the renewable energy generators to restore as much power supply after faults, can not only increase the consumption of renewable energy, but also enhance the power supply reliability of the power system, thereby improve the resilience of the power system. This paper proposes a novel coordinated restoration model to optimize the islanding partition stage for a total or partial blackout system. Firstly the restoration principles of generators in the system restoration process after fault, are proposed in terms of factors that affect the restoration priority. An analytic hierarchy model is then proposed to determine the main generators for islands based on the principles. Secondly, an islanding model is established to divide the total or partial blackout system into optimal electricity supply islands with the main generators obtained as root nodes. The islanding optimization model is solved using an improved genetic algorithm. Finally, case studies are performed to verify the effectiveness of the proposed coordinated restoration model and solving method.
KW - Coordinated Restoration
KW - Genetic Algorithm
KW - Renewable Energy
KW - Resilience
KW - Restoration Priority
UR - https://www.scopus.com/pages/publications/85096412072
U2 - 10.1109/APAP47170.2019.9224909
DO - 10.1109/APAP47170.2019.9224909
M3 - 会议稿件
AN - SCOPUS:85096412072
T3 - APAP 2019 - 8th IEEE International Conference on Advanced Power System Automation and Protection
SP - 1667
EP - 1671
BT - APAP 2019 - 8th IEEE International Conference on Advanced Power System Automation and Protection
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th IEEE International Conference on Advanced Power System Automation and Protection, APAP 2019
Y2 - 21 October 2019 through 24 October 2019
ER -