Abstract

The integration of renewable energy sources in modern power system has led to the development of hybrid power systems, presenting unique challenges in maintaining stability and ensuring efficient power flow. This paper explores the application of Newton Raphson’s iterative method for load flow analysis for a hybrid power system. The study focuses on optimizing power flow calculations, considering the intricate interconnections or multiple energy sources, such as solar, wind, and conventional sources, along with energy storage systems. The Newton Raphson approach is employed to iteratively solve the complex power flow equations, considering various constraints and components’ characteristics. The paper delve into the mathematical formulation of the method, emphasizing its suitability for handling non-linear power flow equations in a hybrid power system context. Additionally, the study examines the impact of varying parameters, such as load demand, renewable energy availability, and system contingencies on the convergence and accuracy of Newton Raphson algorithm. The results demonstrate the efficiency of the proposed method in achieving load flow solutions for hybrid power systems, offering insights into system performance, stability, and potential enhancements in operational planning and management. The findings underscore the significance of utilizing iterative methods like Newton Raphson for load flow analysis in complex hybrid power systems, fostering more reliable and efficient integration of diverse energy sources.