Continuous-Time optimization of Inverter Air Conditioning Demand Response for Ramping Flexibility Improvement

Lingling Le, Jiakun Fang, Xiaomeng Ai, Jinyu Wen, Menglin Zhang, Kaiwen Zeng

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

    Abstract

    The increasing deployment of renewable energy sources into the power system is calling for more ramping flexibilities. Inverter air conditioning (IAC) has a huge potential for demand response due to its large proportion of electricity consumption and the thermal inertia. In this paper, the dynamic response model for IAC is deduced. With Hermite and Bernstein splines, the continuous-time (CT) model for IAC is built. The dynamic response capacity (DRC) method is proposed to schedule the IAC for demand response. Then the IAC demand response (IAC-DR) model is integrated with the DRC scheduling method for ramping flexibility improvement. Numerical results demonstrate that the proposed IAC-DR model is effective in reducing the operation cost for the power systems. Besides, detailed analysis of net load fluctuations and ramping requirements is illustrated.
    Original languageEnglish
    Title of host publicationProceedings of 2020 IEEE Power & Energy Society General Meeting
    Number of pages5
    PublisherIEEE
    Publication date2020
    ISBN (Print)9781728155081
    DOIs
    Publication statusPublished - 2020
    Event2020 IEEE Power and Energy Society General Meeting - Virtual event, Montreal, Canada
    Duration: 2 Aug 20206 Aug 2020
    http://pes-gm.org/2020/
    https://ieeexplore.ieee.org/xpl/conhome/9281379/proceeding

    Conference

    Conference2020 IEEE Power and Energy Society General Meeting
    LocationVirtual event
    Country/TerritoryCanada
    CityMontreal
    Period02/08/202006/08/2020
    Internet address
    SeriesIeee Power and Energy Society General Meeting
    ISSN1944-9933

    Keywords

    • Continuous Time
    • Inverter AC
    • Demand Response
    • Ramping Flexibility

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