Robust Stability and Sensitivity Analysis of Optimized Fuzzy Integral-Derivative Controllers in Multi-Area Hybrid Power Systems

  • Nisha Kumari
  • , Pulakraj Aryan
  • , G. Lloyds Raja
  • , Utkal Ranjan Muduli

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

15 Scopus citations

Abstract

This study introduces a new type-two fuzzy-aided integral-derivative looped with a proportional-derivative FAI D - (P D) l controller for achieving secondary frequency regulation of a diverse triple-area hybrid power system (PS). The African vultures optimisation algorithm (AVOA) optimizes the controller gains. Area-l encompasses thermal power stations along with distributed generation sources, which include wind turbines and solar photovoltaics. Area-2 is equipped with a combination of thermal and gas energy sources, while area-3 is connected to a combination of thermal and nuclear energy sources. Thermal systems also take into account practical limitations making the system nonlinear. In addition, a thorough robust stability assessment of the investigated system is conducted. Finally, the proposed method is compared with some contemporary schemes to vindicate its efficacy.

Original languageBritish English
Title of host publication2024 IEEE 4th International Conference on Sustainable Energy and Future Electric Transportation, SEFET 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350383997
DOIs
StatePublished - 2024
Event4th IEEE International Conference on Sustainable Energy and Future Electric Transportation, SEFET 2024 - Hyderabad, India
Duration: 31 Jul 20243 Aug 2024

Publication series

Name2024 IEEE 4th International Conference on Sustainable Energy and Future Electric Transportation, SEFET 2024

Conference

Conference4th IEEE International Conference on Sustainable Energy and Future Electric Transportation, SEFET 2024
Country/TerritoryIndia
CityHyderabad
Period31/07/243/08/24

Keywords

  • African vulture optimizer
  • performance analysis
  • robustness
  • Secondary frequency regulation
  • type-two fuzzy-aided controller

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