TY - GEN
T1 - An Optimization Strategy for Power System Partition Recovery Considering Grid Reconfiguration Efficiency and Path Reliability
AU - Chen, Yue
AU - Yang, Yinguo
AU - Liu, Yang
AU - Lu, Qiuyu
AU - Yang, Mengqin
AU - Zhang, Ruizhe
AU - Liu, Jun
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Due to the influence of extreme weather conditions and the complex operation modes of modern power system, there must be risks of large-scale power outages in the power system, and the system recovery problem after a major outage has become an important research hotspot. Therefore, to address the problem of low availability of certain power equipment in the system after extreme weather events, an optimal power system partition recovery model considering grid reconfiguration efficiency and path reliability is proposed. The proposed model first takes the units' power recovered in per unit time and the recovery ratio of critical loads as constraints to ensure the efficiency of the grid reconfiguration, and then it establishes and takes into account the path reliability index based on the availability of power equipment to make the recovery process safe and stable as well as enhancing the resilience of the post-disaster system. This paper first completes the recovery of units and loads within the partition by searching for the shortest recovery path of each unit based on Dijkstra's algorithm, and then solves the partition recovery optimization problem to obtain the best partition recovery strategy through genetic algorithm. Finally, this paper verifies the effectiveness and practicality of the proposed method by using the New England 10-unit 39-node system.
AB - Due to the influence of extreme weather conditions and the complex operation modes of modern power system, there must be risks of large-scale power outages in the power system, and the system recovery problem after a major outage has become an important research hotspot. Therefore, to address the problem of low availability of certain power equipment in the system after extreme weather events, an optimal power system partition recovery model considering grid reconfiguration efficiency and path reliability is proposed. The proposed model first takes the units' power recovered in per unit time and the recovery ratio of critical loads as constraints to ensure the efficiency of the grid reconfiguration, and then it establishes and takes into account the path reliability index based on the availability of power equipment to make the recovery process safe and stable as well as enhancing the resilience of the post-disaster system. This paper first completes the recovery of units and loads within the partition by searching for the shortest recovery path of each unit based on Dijkstra's algorithm, and then solves the partition recovery optimization problem to obtain the best partition recovery strategy through genetic algorithm. Finally, this paper verifies the effectiveness and practicality of the proposed method by using the New England 10-unit 39-node system.
KW - genetic algorithm
KW - grid reconfiguration efficiency
KW - path reliability
KW - power system partition recovery
UR - https://www.scopus.com/pages/publications/85166193781
U2 - 10.1109/CEEPE58418.2023.10166144
DO - 10.1109/CEEPE58418.2023.10166144
M3 - 会议稿件
AN - SCOPUS:85166193781
T3 - 2023 6th International Conference on Energy, Electrical and Power Engineering, CEEPE 2023
SP - 1449
EP - 1454
BT - 2023 6th International Conference on Energy, Electrical and Power Engineering, CEEPE 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Conference on Energy, Electrical and Power Engineering, CEEPE 2023
Y2 - 12 May 2023 through 14 May 2023
ER -