Towards a real-time Energy Management System for a Microgrid using a multi-objective genetic algorithm

Pedro P. Vergara, Ricardo Torquato, Luiz C.P. Da Silva

Publikation: Kapitel i bog/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

Abstrakt

This paper proposes a real-time Energy Management System (EMS) for a low voltage (LV) Microgrid (MG). The system operation consists in solving the Unit Commitment (UC) and Economic Load Dispatch (ELD) simultaneously for 24 hours ahead at every 15-minute period. This operation is formulated as a multi-objective optimization problem where the minimization of operational cost, total emissions and power losses is simultaneously pursued using the Non-dominated Sorting Genetic Algorithm II (NSGA-II). In this algorithm, crossover and mutation operators were improved with respect to existing approaches to achieve an adequate characterization of the energy management problem and a good algorithm performance. Simulation studies have outlined that, in fact, the NSGA-II can be used as a real-time optimization tool providing a good-quality Pareto front to operate optimally the MG in a limited time of 15 minutes.

OriginalsprogEngelsk
TitelProceedings of the 2015 IEEE Power and Energy Society General Meeting
Antal sider6
Vol/bind2015-September
ForlagIEEE Computer Society
Publikationsdato2015
Artikelnummer7285956
ISBN (Elektronisk)9781467380409
DOI
StatusUdgivet - 2015
Udgivet eksterntJa
BegivenhedIEEE Power and Energy Society General Meeting, PESGM 2015 - Denver, USA
Varighed: 26. jul. 201530. jul. 2015

Konference

KonferenceIEEE Power and Energy Society General Meeting, PESGM 2015
LandUSA
ByDenver
Periode26/07/201530/07/2015

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