Ansari, BananehBananehAnsariSimoes, Marcelo G.Marcelo G.SimoesSoroudi, AlirezaAlirezaSoroudiKeane, AndrewAndrewKeane2016-09-302016-09-302016 IEEE2016-06-10http://hdl.handle.net/10197/80082016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC 2016), 7-10 June 2016, Florence, ItalyThis paper develops an algorithm for energy management of a distribution network considering a restorative plan for most possible devastating contingencies in the network. The distribution network is selfhealing and consists of smart meters and remotely controlled automated switches. Distributed energy resources and flexible loads provide the redundant capacity for restoration. Under normal operating conditions, the objective of the energy management system is to minimize the generation cost, while under emergency conditions, the objective is to minimize the amount of shed load, giving priority to critical loads. The energy management problem forms a non-linear programming problem. Simulation results verify the effectiveness of the proposed algorithm in energy management and restoration of a distribution network.en© © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Density estimation robust algorithmEnergy managementSmart metersSimulationSubstationsEnergy resourcesSwitchesConference Publication10.1109/EEEIC.2016.75557762016-09-29https://creativecommons.org/licenses/by-nc-nd/3.0/ie/