Energy resource management under the influence of the weekend transition considering an intensive use of electric vehicles

T. Sousa, Hugo Morais, T. Pinto, Z. Vale

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    Energy resource scheduling is becoming increasingly important, as the use of distributed resources is intensified and of massive electric vehicle is envisaged. The present paper proposes a methodology for day-ahead energy resource scheduling for smart grids considering the intensive use of distributed generation and Vehicle-to-Grid (V2G). This method considers that the energy resources are managed by a Virtual Power Player (VPP) which established contracts with their owners. It takes into account these contracts, the users' requirements subjected to the VPP, and several discharge price steps. The full AC power flow calculation included in the model takes into account network constraints. The influence of the successive day requirements on the day-ahead optimal solution is discussed and considered in the proposed model. A case study with a 33-bus distribution network and V2G is used to illustrate the good performance of the proposed method.
    Original languageEnglish
    Title of host publicationProceedings of 2015 Clemson University Power Systems Conference
    PublisherIEEE
    Publication date2015
    Article number7101684
    ISBN (Print)9781479919512
    DOIs
    Publication statusPublished - 2015
    Event2015 Clemson University Power Systems Conference - Clemson, United States
    Duration: 10 Mar 201513 Mar 2015

    Conference

    Conference2015 Clemson University Power Systems Conference
    Country/TerritoryUnited States
    CityClemson
    Period10/03/201513/03/2015

    Keywords

    • Computer Science Applications
    • Signal Processing
    • Electrical and Electronic Engineering
    • Energy Engineering and Power Technology
    • Renewable Energy, Sustainability and the Environment
    • Day-ahead scheduling
    • electric vehicle
    • Energy resource management
    • vehicle-to-grid
    • virtual power player
    • Electric discharges
    • Electric load flow
    • Electric power transmission networks
    • Electric vehicles
    • Energy resources
    • Natural resources management
    • Resource allocation
    • Scheduling
    • Vehicles
    • Distributed resources
    • Energy resource managements
    • Network constraints
    • Vehicle to Grid (V2G)
    • Vehicle to grids
    • Virtual power players
    • Virtual power players (VPP)
    • Smart power grids

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