Post-extreme-event restoration using linear topological constraints and DER scheduling to enhance distribution system resilience

• DOI: 10.1016/j.ijepes.2021.107029
• Publication Date: 2021-04-14T07:33:25Z
• Authors: Qingxin Shi; Fangxing Li; Mohammed Olama; Jin Dong; Yaosuo Xue; Michael Starke; Wei Feng; Chris Winstead; Teja Kuruganti
• Keywords: Dispatchable generation; Resilience

Abstract In this paper, a post-extreme-event restoration (PEER) algorithm is proposed to improve distribution system resilience. Linear topological constraints are proposed to ensure radial topology after N-k contingencies, possibly in multiple islands. The approach is made comprehensive by considering dispatchable distributed energy resources (DERs), non-dispatchable DERs, and demand responses, as well as on-load tap changers (OLTCs) and shunt capacitors. The goal is to minimize the accumulative expense caused by load reduction payment or penalty, as well as DER operation cost. As a result, the overall system will survive longer with higher resilience during an extreme event. To verify the effectiveness of the PEER algorithm, a resilience evaluation algorithm is proposed using Monte Carlo simulation (MCS) with reduced scenarios. This is based on a probabilistic model for generating random scenarios which consider the uncertainty of line faults and solar irradiance. Combined with the proposed PEER algorithm, this reduced-scenario MCS can evaluate the expected energy not served (EENS) which is an essential index for distribution system resilience. Case studies of the IEEE 33-bus and 123-bus test systems validate the proposed algorithm in reducing EENS.