Robust stability region analysis of time-delayed load frequency control systems with EVs aggregator using Kharitonov theorem

Naveed A., Sönmez Ş., AYASUN S., Iqbal S., Zeinoddini-Meymand H., Kamel S.

IET Generation, Transmission and Distribution, cilt.17, sa.19, ss.4386-4398, 2023 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 17 Sayı: 19
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1049/gtd2.12983
  • Dergi Adı: IET Generation, Transmission and Distribution
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Aerospace Database, Applied Science & Technology Source, Business Source Elite, Business Source Premier, Communication Abstracts, Compendex, Computer & Applied Sciences, Environment Index, INSPEC, Metadex, Directory of Open Access Journals, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.4386-4398
  • Anahtar Kelimeler: controllers, delays, dynamics, electric vehicles, frequency control, PI control, power generation control, power system stability, robust control, stability and control, uncertain systems
  • Gazi Üniversitesi Adresli: Evet

Özet

This study focuses on analyzing the robust stability regions and robustness margin of a time-delayed load frequency control (LFC) system with Electric Vehicles (EVs) using the Kharitonov Theorem. Communication time delays in LFC systems can jeopardize stability and reliability, leading to suboptimal controller performance. Integrating EVs into LFC systems enhances dynamical stability but introduces additional complexity. Therefore, it is crucial to employ robust analysis and controller design techniques to ensure system stability. In this study, we utilize the Kharitonov Theorem to determine the robust stability regions and stability boundaries in the parameter plane of the Proportional-Integral (PI) controller. By considering communication time delays and parametric uncertainties in the LFC system with EVs (LFC-EVs), the robust PI controller gains using these methods are efficiently computed. To evaluate the performance of the theoretically computed robust controller parameters, time-domain simulations are conducted.