Zekai Wang, Tao Ding, Xiaosheng Zhang, et al. Multi-Period Resilient Model for VSC-Based AC-DC HDS Considering Public-Safety Power Shutoff to Mitigate Wildfires[J]. CSEE Journal of Power and Energy Systems, 2024, 10(2): 821-833.
DOI:
Zekai Wang, Tao Ding, Xiaosheng Zhang, et al. Multi-Period Resilient Model for VSC-Based AC-DC HDS Considering Public-Safety Power Shutoff to Mitigate Wildfires[J]. CSEE Journal of Power and Energy Systems, 2024, 10(2): 821-833.DOI: 10.17775/CSEEJPES.2022.05090.
Multi-Period Resilient Model for VSC-Based AC-DC HDS Considering Public-Safety Power Shutoff to Mitigate Wildfires
摘要
Abstract
This paper proposes a voltage source converter (VSC) -based AC-DC hybrid distribution system (HDS) resilient model to mitigate power outages caused by wildfires. Before a wildfire happens
the public-safety power shutoff (PSPS) strategy is applied to actively cut some vulnerable lines which may easily cause wildfires
and reinforce some lines that are connected to critical loads. To mitigate load shedding caused by active line disconnection in the PSPS strategy
network reconfiguration is applied before the wildfire occurrence. During the restoration period
repair crews (RCs) repair faulted lines
and network reconfiguration is also taken into consideration in the recovery strategy to pick up critical loads. Since there exists possible errors in the wildfire prediction
several different scenarios of wildfire occurrence have been taken into consideration
leading to the proposition of a stochastic multi-period resilient model for the VSC-based AC-DC HDS. To accelerate the computational performance
a progressive hedging algorithm has been applied to solve the stochastic model which can be written as a mixed-integer linear program. The proposed model is verified on a 106-bus AC-DC HDS under wildfire conditions
and the result shows the proposed model not only can improve the system resilience but also accelerate computational speed.
Resilience-Oriented Restoration Model Against Attacks on Cyber-Physical Power Systems
Resilient Power Systems against Wildfire Risks: Towards a Human-Centric and Secure Future
Framework for Preventive Control of Power Systems to Defend Against Extreme Events
Deep Reinforcement Learning-based Resilience Enhancement Framework for Distribution Networks Under Extreme Weather Events
Resilience Enhancement Strategy for Multi-Microgrids with Electric Vehicles Under Extreme Weather Conditions
Related Author
Yihao Guo
Chuangxin Guo
Jie Yang
Peixiao Fan
Shuangqi Li
Siqi Bu
Yuxin Wen
C. Y. Chung
Related Institution
College of Electrical Engineering, Zhejiang University
Hangzhou Runzhou Investment Ltd.
Department of Electrical and Electronic Engineering, Research Centre for Grid Modernization, The Hong Kong Polytechnic University
Department of Electrical and Electronic Engineering, Shenzhen Research Institute, Research Institute for Smart Energy, Policy Research Centre for Innovation and Technology, Research Centre for Grid Modernisation, and International Centre of Urban Energy Nexus, The Hong Kong Polytechnic University, Kowloon
Electric Power Research Institute, China Southern Power Grid (), Guangzhou