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Application of edge theorem for robust stability analysis of a power system with participating wind power plants in automatic generation control task

Toulabi, M ; Sharif University of Technology | 2017

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  1. Type of Document: Article
  2. DOI: 10.1049/iet-rpg.2016.0931
  3. Publisher: Institution of Engineering and Technology , 2017
  4. Abstract:
  5. This study investigates the dynamic participation of wind power plants (WPPs) in the automatic generation control (AGC) task. The pre-specified model of wind farm in the AGC studies has been used. It is shown that operating of WPPs at the command mode results in a significant improvement in the frequency behaviour of power system due to their faster response. However, the WPPs may change their operation mode from the command mode to the maximum power point mode according to the wind speed conditions and load variations. This reduces the improvement in the frequency response. In this condition, the shortage in the wind power should be compensated by the conventional units. Thus, the share of different units becomes uncertain (but bounded) when the WPPs participate in the AGC task. To address this challenge, this study provides the robust stable frequency operation of power system under uncertain shares of different units in the AGC task using the Edge theorem. Simulations are performed on an IEEE 39-bus test system connected to some wind farms in different buses. Results confirm the robust stability of the underlying power system, and hence, the effective capability of the wind farms to participate in the AGC task. © The Institution of Engineering and Technology 2017
  6. Keywords:
  7. Electric power system stability ; Electric power systems ; Electric utilities ; Frequency response ; System stability ; Automatic generation control ; Load variations ; Maximum power point ; Operation mode ; Robust stability ; Robust stability analysis ; Stable frequencies ; Wind power plant (WPPs) ; Wind power
  8. Source: IET Renewable Power Generation ; Volume 11, Issue 7 , 2017 , Pages 1049-1057 ; 17521416 (ISSN)
  9. URL: https://ieeexplore.ieee.org/document/7956737