Self-healing resilience strategy to active distribution network based on benders decomposition approach

Abstract

Frequency, as an important factor restricting the safety and reasonability of power system operating, is often neglected in islanding partition of active distribution network when the network suffers from an outage. In order to conciliate the desired attributes of accuracy and computational performance, based on Benders decomposition approach, a self-healing resilience strategy is presented, that is, the islanding partition of active distribution network is decomposed into master and slave problem. The master problem is formulated as a mixed integer programming problem, minimizing the load shedding in reconfiguration work and considering the radial topology. The slave problem establishes a conic optimal model for minimum power loss of island operating, and determines the feasibility of the master problem solution. In addition, the Droop Control equations are applied to take characteristics of voltage and frequency into consideration. Through the Benders cuts, the slave problem returns the dual information to the master problem. The global optimum solution is acquired by iterative solving the both problems. The numerical results of case studies demonstrate that the proposed model is of high accuracy and well adaptability, and satisfies practical engineering.