REDUCTION OF REAL POWER LOSS BY ADVANCED PARTICLE SWARM OPTIMIZATION ALGORITHM
Journal Title: International journal of research -GRANTHAALAYAH - Year 2018, Vol 6, Issue 2
Abstract
This paper presents Advanced Particle Swarm Optimization (APSO) algorithm for solving optimal reactive power problem. In this work Biological Particle swarm Optimization algorithm utilized to solve the problem by eliminating inferior population & keeping superior population, to make full use of population resources and speed up the algorithm convergence. Projected Advanced Particle Swarm Optimization (APSO) algorithm has been tested on standard IEEE 30 bus test system and simulation results shows clearly about the superior performance of the proposed Advanced Particle Swarm Optimization (APSO) algorithm in reducing the real power loss and static voltage stability margin (SVSM) Index has been enhanced.
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The investigator was conducted to study the Emotional intelligence and Teaching competency of B.Ed. students in Kanyakumari District. The investigator collected data from 330 studentteachers by stratified random sampling...
COMPARISON OF A NEW VERESS NEEDLE ENTRY METHOD AND CLASSIC VERESS NEEDLE ENTRY METHOD IN GYNECOLOGIC LAPAROSCOPY: A PROSPECTIVE RANDOMIZED STUDY
Background: To compare cranial 15ยบ angulation of Veres needle to classic Veress needle entry in closed laparoscopic entry in obese patients. Method: Patients with BMI index>30 were divided into two groups. Initial entry...
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The importance of natural resources in sustaining productivity and environmental protection is now relatively more realized than the past. Over the past few decades or so, more and more attention is being paid all over t...