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

Tavakkoli, M ; Sharif University of Technology | 2020

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  1. Type of Document: Article
  2. DOI: 10.1109/ISGT-Europe47291.2020.9248820
  3. Publisher: IEEE Computer Society , 2020
  4. Abstract:
  5. 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. © 2020 IEEE
  6. Keywords:
  7. Game theory ; HVAC systems ; Indirect load control ; Stochastic programming ; Air conditioning ; Electric load management ; Electric power transmission networks ; Heating ; Housing ; Smart power grids ; Wind power ; Control demands ; Critical load ; Flexible loads ; Residential consumers ; Residential house ; Stackelberg Games ; Ventilation and air conditioning ; Wind power production
  8. Source: 10th IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2020, 26 October 2020 through 28 October 2020 ; Volume 2020-October , 2020 , Pages 111-115
  9. URL: https://ieeexplore.ieee.org/abstract/document/9248820