@inproceedings{f967a56991004abeaa0026aec1487a0f,
title = "Stochastic energy coordination in hybrid AC/DC smart grids",
abstract = "This paper presents stochastic energy management system (S-EMS) in hybrid ac/dc smart grids. The developed SEMS coordinates the operations of various distributed resources (DRs), i.e., distributed generators (DGs) and energy storage systems (ESSs). It also ensures coordinated charging of the plugin electric vehicles (PEVs). The energy management problem is formulated as a two-stage day-ahead resource scheduling problem with both the intermittent supply and the variable PEV demand modeled as random variables. The first-stage determines the unit commitment (UC) decisions for the next 24 hours, while the second-stage determines the corrective decisions, which include the import/export schedule, the storage charging/discharging cycles, and the PEV charging patterns for a set of possible scenarios. The objective is to minimize the expected total operating cost while satisfying the operational and technical constraints. The developed centralized two-stage stochastic EMS model is tested on a 38-bus hybrid ac/dc distribution system. The simulation results demonstrate the effectiveness of the developed EMS model to optimally coordinate the various components of the future hybrid ac/dc smart grid.",
author = "Eajal, {A. A.} and El-Saadany, {E. F.} and Shaaban, {Mostafa F.} and K. Ponnambalam",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE Electrical Power and Energy Conference, EPEC 2015 ; Conference date: 26-10-2015 Through 28-10-2015",
year = "2016",
month = jan,
day = "12",
doi = "10.1109/EPEC.2015.7379943",
language = "British English",
series = "2015 IEEE Electrical Power and Energy Conference: Smarter Resilient Power Systems, EPEC 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "158--163",
booktitle = "2015 IEEE Electrical Power and Energy Conference",
address = "United States",
}
