A game theory approach for maximum utilization of wind power by DR in residential consumers

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Abstract

This paper proposes an indirect load control demand response (DR) strategy for residential houses. A Stackelberg game theory is applied to account for the interaction between the aggregator in one side and the consumers on the other side. The aggregator, which owns a wind power plant, strives to maximize wind power utilization by consumers. Therefore, it motivates the consumers to adjust their load demand according to the forecasted wind power production by offering a bonus to them. On the other hand, consumers attempt to achieve the highest amount of reward by changing their load profile. It is assumed that each consumer has a critical load of which they have no control, and also a flexible load such as heat, ventilation and air conditioning (HVAC) system which can regulate its demand while keeping the temperature in a specified band. In this way, the consumers' comfort level is entirely maintained. In addition, for the sake of considering the uncertainty, several scenarios for wind and also consumers' demand are considered in this work.

Original languageEnglish
Title of host publicationProceedings of 2020 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2020
PublisherIEEE
Pages111-115
Number of pages5
ISBN (Electronic)9781728171005
DOIs
Publication statusPublished - 26 Oct 2020
MoE publication typeA4 Article in a conference publication
EventIEEE PES Europe Conference on Innovative Smart Grid Technologies - Virtual, Online
Duration: 26 Oct 202028 Oct 2020

Publication series

NameIEEE PES Innovative Smart Grid Technologies Conference Europe
PublisherIEEE
ISSN (Print)2165-4816
ISSN (Electronic)2165-4824

Conference

ConferenceIEEE PES Europe Conference on Innovative Smart Grid Technologies
Abbreviated titleISGT Europe
CityVirtual, Online
Period26/10/202028/10/2020
OtherVirtual conference

Keywords

  • Game theory
  • HVAC systems
  • Indirect load control
  • Stochastic programming

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