Two-Stage Self-Healing Restoration Strategy Considering Operating Performance

Abstract

Power system resilience requires highly effective self-healing restoration strategies, and calls for superior performance both in system restoration and operation. Most existing restoration methods focus only on restoring performance, such as generation capacity, restored load capacity, and recovery time, but ignore operating performance that can enhance resilience significantly. This paper sheds light on a two-stage self-healing system restoration strategy considering operating performance, which includes voltage balance, transmission loss, and generation cost, to enhance resilience. The first stage aims to determine the restoration sequence of generators, power lines, and loads with maximum restored load capacity. The second stage of the optimization problem focuses on readjusting the power outputs of generators to improve single or multiple operating performance indicators. The optimization model of the first stage is formulated as a linear integer programming (IP) problem and solved by the branch-and-bound method, while the second-stage problem considering AC optimal power flow is solved by the interior point method. The proposed two-stage strategy also provides a possible solution for an online restoration decision support system with superior computational performance. Case studies on the IEEE 30-bus and 118-bus power systems have demonstrated the correctness and effectiveness of the proposed strategy.