COMPARATIVE ANALYSIS & EVALUATION OF METHODOLOGIES (AI) FOR AVAILABLE TRANSFER CAPABILITY ASSESSMENT IN POWER SYSTEMS

Abstract

The accurate assessment of Available Transfer Capability (ATC) is critical for ensuring reliable and efficient operation of modern power systems. This paper presents a comprehensive comparison of ATC, the five distinct methodologies are analyzed: Power Transfer Distribution Factors (PTDF), AC Power Flow analysis, Dynamic Analysis incorporating time-domain simulations, Continuation Power Flow (CPF) for voltage stability assessment, and AI technique VARMAX statistical modeling for forecasting applications. Through extensive literature review and comparative analysis, this study evaluates the accuracy, computational complexity, and practical applications of each method. The paper includes detailed mathematical formulations, block diagrams, performance comparisons, and implementation guidelines. Results demonstrate that while PTDF methods offer computational efficiency for real-time applications, AC power flow provides superior accuracy for detailed analysis. Dynamic methods are essential for transient stability constraints, CPF excels in voltage stability studies, and VARMAX offers unique capabilities for statistical forecasting of transfer capabilities. The comprehensive analysis includes over 30 references from leading researchers in the field, providing a complete overview of current state-of-the-art methodologies.