Intelligent Load Frequency Control in Variable Power System

Abstract

The increasing integration of renewable energy sources and the rising difficulty of present newlinepower systems (PS) have presented new challenges in preserving the stability and reliability newlineof the grid. Load Frequency Control (LFC) plays a key role in keeping the balance between newlinegeneration and load demand in power systems. Traditional LFC methods are designed based newlineon simplified assumptions and may not be effective in variable power systems. Hence, there is newlinea need for intelligent and adaptive LFC strategies that can cope with the uncertainties and newlinevariations inherent in such systems. This thesis addresses the problem of LFC in variable newlinepower systems, with a focus on incorporating advanced control techniques and artificial newlineintelligence (AI) algorithms to enhance the performance and efficiency of the control process. newlineThe primary objective is to develop intelligent control strategies that can adapt to changing newlinesystem conditions and achieve improved frequency regulation in the presence of fluctuating newlinepower inputs. The research begins with comprehensively analysing the dynamics and newlinecharacteristics of variable power systems. Various sources of uncertainty, such as intermittent newlinerenewable energy generation, dynamic loads, and system parameter variations, are newlineconsidered. Mathematical models are developed to represent the dynamic behaviour of these newlinesystems accurately. Advanced control techniques, Dual stage controller, fuzzy logic controller newline(FLC), ANFIS controller along with conventional controllers are explored for LFC newlineimplementation. These control methods provide flexibility, robustness, and adaptive newlinecapabilities, allowing the LFC system to adapt to changing operating conditions and newlinedisturbances. The work investigates the optimal design and tuning of these control algorithms newlineto achieve the desired frequency regulation performance. The proposed LFC strategies are newlineevaluated through extensive simulations and comparisons with existing methods using various newlinescenarios and system configurations.