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 & Energy Society General Meeting - Virtual event, Montreal, Canada
Duration: 2 Aug 20206 Aug 2020
http://pes-gm.org/2020/

Conference

Conference2020 IEEE Power & Energy Society General Meeting
LocationVirtual event
CountryCanada
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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