Optimization of decentralized control strategies of distributed resources under cyber failures in flexible distribution network

Abstract

The flexible multi-state switch (FMSS) can realize the optimal control of the distribution network under normal and faulty situations. The dependence of distribution network on cyber system becomes heavier as distributed resources such as FMSS and distributed generations (DGs) integrated to the network. To reduce the operational risks under cyber failure scenarios, this paper proposes an optimization model to enable decentralized control strategies of distributed resources under cyber failures. First, the model of flexible cyber-physical distribution system is established and the coordinated control strategies of distributed resources under different operation statuses are analyzed. Then, the adaptive fuzzy-C means method and fault tree method based on consistency of failure consequences are used to cope with the uncertainties of DGs and cyber failures, respectively. On this basis, a bi-level optimization model of the decentralized control strategies of distribution resources is established to minimize the voltage deviation and load shedding. Second order cone method and heuristic algorithm are adopted for solving the optimization problem. Finally, the proposed control strategy is validated by case studies. This study is an effective operation strategy for distributed resources in flexible distribution network.© 2017 Elsevier Inc. All rights reserved.