Non-conventional Approaches For Solving Constraint Power Flow Problems - Acharjee, Parimal
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Power flow (PF) is the most extensively used analytical tool in any power industry. Starting from planning studies, PF is required in operation & control studies. PF, therefore, has rightly been termed as the workhorse of the power systems (PS). The advent of deregulation & competitive power markets has increased more uncertainty in PS. Under the stressed situations, the conventional methods (CMs) diverge & no solution is obtained for ill-conditioned systems. The CMs need flat start & also unable to provide multiple solutions. To overcome these, non-conventional approaches are required to…mehr

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Produktbeschreibung
Power flow (PF) is the most extensively used analytical tool in any power industry. Starting from planning studies, PF is required in operation & control studies. PF, therefore, has rightly been termed as the workhorse of the power systems (PS). The advent of deregulation & competitive power markets has increased more uncertainty in PS. Under the stressed situations, the conventional methods (CMs) diverge & no solution is obtained for ill-conditioned systems. The CMs need flat start & also unable to provide multiple solutions. To overcome these, non-conventional approaches are required to develop. Simple local search technique & linear perturbation based methods are developed to solve constraint PF problems. If the method is applied with any other evolutionary technique, multiple solutions can be obtained. Two PSO techniques with different pioneer strategies, innovative formulas are presented. A new & unique two-stage GA algorithm is developed. Voltage collapsed buses & FACTS devices in the developed PFs are also discussed. The developed algorithms should aid to the research scholars, power industry & academia in PS.
Autorenporträt
Dr. Parimal Acharjee received Ph. D. in 2007. He has three years Industrial and 12 years teaching experience. He is presently working as an Associate Professor in NIT Durgapur. He has more than 35 international papers. His current research interest is the application of soft-computing techniques in various power system problems, smart grid.