The Impact of Dynamic Electricity Tariff on Long-run Incremental Cost

Yi Ding, Yang Li, Salvador Pineda, Jacob Ostergaard, Tongdan Jin

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

    Abstract

    Electricity plays an important role in the future energy framework around the world. The foreseen high penetration of renewable energy resources and electric vehicles (EV) will change the way of understanding and operating power systems. Consequently, significant investment in network infrastructure needs to be made in order to cope with this tremendous change in an efficient and effective manner. Long-run incremental cost (LRIC) pricing method is recognized as an economically efficient approach for pricing network charges, which provides forward-looking information for future investment cost. LRIC evaluation is usually conducted on the basis that demand is passive and uncontrollable. The impact of demand flexibility on LRIC has not been comprehensively studied. In this paper, the effect of dynamic electricity tariff and flexible demand on LRIC and network investment decisions is deeply analyzed and discussed. A modified test system (RBTS) illustrates the proposed method.
    Original languageEnglish
    Title of host publication2012 IEEE Power and Energy Society General Meeting
    Number of pages5
    PublisherIEEE
    Publication date2012
    ISBN (Print)978-1-4673-2727-5
    ISBN (Electronic) 978-1-4673-2728-2
    DOIs
    Publication statusPublished - 2012
    Event2012 IEEE Power and Energy Society General Meeting - Manchester Grand Hyatt, San Diego, United States
    Duration: 22 Jul 201226 Jul 2012
    http://pes-gm.org/2012/
    https://ieeexplore.ieee.org/xpl/conhome/6330648/proceeding

    Conference

    Conference2012 IEEE Power and Energy Society General Meeting
    LocationManchester Grand Hyatt
    Country/TerritoryUnited States
    CitySan Diego
    Period22/07/201226/07/2012
    Internet address

    Keywords

    • Educational institutions
    • Electricity
    • Investments
    • Load management
    • Power system dynamics
    • Pricing

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