Power flow analysis also known as load flow analysis. KeywordsParticle Swarm Optimization, Load Flow Analysis, Newton Raphson, Gauss Siedel For reference comparison of PSO is made between Gauss- Siedel and Newton- Raphson and the results are also verified through Matlab Codes. Main aim of this research is to build algorithm to obtain optimized results. Classical iterative methods such as Newton Raphson method, and Gauss- Siedel Method are also applied with artificial intelligence based algorithm Particle Swarm Optimization (PSO). Particle Swarm Optimization (PSO) is a computational method that optimizes a given problem by iteratively trying to improve a candidate solution with regard to a given measure of quality.
Additionally, Particle Swarm Optimization Technique (PSO) is also utilized. It is a necessity that the bus voltages should remain within a specified limit. Through the load flow studies obtained parameters are the voltage magnitudes and angles at each bus in the stationary state. Load always remains stationary and it is the power that flows through transmission lines, due to which load flow analysis is preferred to be called as Power Flow Analysis. Main aim is to apply Power Flow Analysis provide information about system variables and these variables are complex voltage V, complex power P, and consequently currents, voltages in constant state. MS Electrical Engineering, University of Engineering and Technology Lahore, Pakistan AbstractPower flow analysis are one of the main aspects for planning and operation of power system and its analysis. Lab Engineer, Institute of Electrical, Electronics & Computer Engineering University of the Punjab © 2023 USPTO.Comparative Analysis of Particle Swarm Optimization with Classical Methods for Load Flow Analysis
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