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

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

18 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2015 IEEE Power and Energy Society General Meeting, PESGM 2015
PublisherIEEE
ISBN (Electronic)9781467380409
DOIs
Publication statusPublished - 2015
Externally publishedYes
EventIEEE Power and Energy Society General Meeting, PESGM 2015 - Denver, United States
Duration: 26 Jul 201530 Jul 2015

Publication series

NameIEEE Power and Energy Society General Meeting
Volume2015-September
ISSN (Print)1944-9925
ISSN (Electronic)1944-9933

Conference

ConferenceIEEE Power and Energy Society General Meeting, PESGM 2015
CountryUnited States
CityDenver
Period26/07/1530/07/15

Keywords

  • economic dispatch
  • Energy management system
  • evolutionary algorithm
  • microgrid
  • multi-objective optimization
  • non-dominating sorting genetic algorithm
  • unit commitment

Fingerprint

Dive into the research topics of 'Towards a real-time Energy Management System for a Microgrid using a multi-objective genetic algorithm'. Together they form a unique fingerprint.

Cite this