Full-time scale resilience enhancement framework for power transmission system under ice disasters

Abstract A full-time scale resilience enhancement framework is proposed for power transmission system to improve its resistance against ice disasters. First, system resilience indices are developed to quantify the impacts of ice disasters on the transmission system. Next, the system resilience indices are broken down into each component, so as to locate the weak links of the system under ice disasters. On this basis, a full-time scale resilience enhancement framework is proposed involving pre-failure, during disaster and post-failure period of the ice disaster. In the pre-failure period, prevention strategies can be applied to avoid severe losses. In the during disaster period, deicing sequence can be optimal determined to delay the outage. In the post-failure period, maintenance measures of failed components can be optimized to recover the power supply as effective as possible. Case studies on the IEEE RTS-79 test system have been used to validate the effectiveness and practicality of the proposed approach.

[1]  Hou Hui Affects of Icing and Snow Disaster Occurred in 2008 on Power Grids in South China , 2009 .

[2]  Jun Guo,et al.  Resilience Assessment and Its Enhancement in Tackling Adverse Impact of Ice Disasters for Power Transmission Systems , 2018, Energies.

[3]  Chong Wang,et al.  Resilience Enhancement With Sequentially Proactive Operation Strategies , 2017, IEEE Transactions on Power Systems.

[4]  Lamine Mili,et al.  A resilience assessment approach for power system from perspectives of system and component levels , 2020 .

[5]  Ross Baldick,et al.  Research on Resilience of Power Systems Under Natural Disasters—A Review , 2016, IEEE Transactions on Power Systems.

[6]  K. Higuchi,et al.  Ice Storm ’98 in Southcentral Canada and Northeastern United States: A Climatological Perspective , 2000 .

[7]  Pierluigi Mancarella,et al.  The Grid: Stronger, Bigger, Smarter?: Presenting a Conceptual Framework of Power System Resilience , 2015, IEEE Power and Energy Magazine.

[8]  Zhe He,et al.  Reliability modeling for Integrated Community Energy System considering dynamic process of thermal loads , 2019, IET Energy Systems Integration.

[9]  Kathleen F. Jones,et al.  A simple model for freezing rain ice loads , 1998 .

[10]  Pierluigi Mancarella,et al.  Modeling and Evaluating the Resilience of Critical Electrical Power Infrastructure to Extreme Weather Events , 2017, IEEE Systems Journal.

[11]  Mohammad Shahidehpour,et al.  The IEEE Reliability Test System-1996. A report prepared by the Reliability Test System Task Force of the Application of Probability Methods Subcommittee , 1999 .

[12]  Pierluigi Mancarella,et al.  Boosting the Power Grid Resilience to Extreme Weather Events Using Defensive Islanding , 2016, IEEE Transactions on Smart Grid.

[13]  Mahmud Fotuhi-Firuzabad,et al.  Electrical Power System Resilience Assessment: A Comprehensive Approach , 2020, IEEE Systems Journal.

[14]  S. G. Krishnasamy Assessment of Weather Induced Transmission Line Loads on a Probabilistic Basis , 1985, IEEE Power Engineering Review.

[15]  C. S. Holling Resilience and Stability of Ecological Systems , 1973 .

[16]  Michel Bruneau,et al.  A Framework to Quantitatively Assess and Enhance the Seismic Resilience of Communities , 2003 .

[17]  Jianhui Wang,et al.  Integration of Preventive and Emergency Responses for Power Grid Resilience Enhancement , 2017, IEEE Transactions on Power Systems.

[18]  Pierluigi Mancarella,et al.  Influence of extreme weather and climate change on the resilience of power systems: Impacts and possible mitigation strategies , 2015 .

[19]  Jiang Zhenglong Analysis of Hunan Power Grid Ice Disaster Accident in 2008 , 2008 .

[20]  Éric Zamaï,et al.  Blackouts: Description, Analysis and Classification , 2006 .