• DocumentCode
    1378353
  • Title

    A multiple objective decision support model for the selection of remote load control strategies

  • Author

    Jorge, H. ; Antunes, C.H. ; Martins, A.G.

  • Author_Institution
    Dept. of Electr. Eng., Coimbra Univ., Portugal
  • Volume
    15
  • Issue
    2
  • fYear
    2000
  • fDate
    5/1/2000 12:00:00 AM
  • Firstpage
    865
  • Lastpage
    872
  • Abstract
    Utilities frequently use remote load control as an effective means to achieve suitable network operational conditions. This procedure, usually designated load management (LM), is a part of the resources considered under the general designation of demand-side management (DSM). However, the use of LM in electric distribution network management is a problem that involves different conflicting aspects such as reducing peak demand, maximizing utility profits and minimizing discomfort caused to consumers. Hence, the problem is multiobjective in nature: economical, technical and quality of service aspects must all be explicitly accounted for in mathematical models. This paper presents a multiobjective decision support model which allows the consideration of the main concerns that have an important role in LM: minimize peak demand as perceived by the distribution network dispatch center, maximize utility profit corresponding to the energy services delivered by the controlled loads, maximize quality of service in the context of LM
  • Keywords
    decision support systems; load regulation; power distribution control; telecontrol; DSM; consumer discomfort minimisation; controlled loads; demand-side management; economical aspects; electric distribution network management; energy management; energy services; load modelling; mathematical models; multiobjective decision support model; multiobjective programming; multiple objective decision support model; network operational conditions; peak demand reduction; quality of service aspects; remote load control strategies selection; technical aspects; utility profits maximisation; Costs; Economic forecasting; Energy management; Load flow control; Load management; Power generation economics; Quality of service; Resource management; Testing; Water heating;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.867186
  • Filename
    867186