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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

202416 citationsDOI

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.

Topics & Concepts

Sensitivity (control systems)Control theory (sociology)Fuzzy logicDerivative (finance)Stability (learning theory)Power (physics)Fuzzy control systemComputer scienceMathematicsEngineeringControl (management)Electronic engineeringArtificial intelligencePhysicsFinancial economicsQuantum mechanicsEconomicsMachine learningFrequency Control in Power SystemsMicrogrid Control and OptimizationPower System Optimization and Stability
Robust Stability and Sensitivity Analysis of Optimized Fuzzy Integral-Derivative Controllers in Multi-Area Hybrid Power Systems | Litcius