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AN EXPERT BASED INITIAL GENERATION OF GENETIC ALGORITHM WITH ADAPTIVE PROBABILITY APPROACH FOR QUADRATIC OPF

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Abstract (2. Language): 
This paper presents a novel and superior Genetic Algorithm (GA) based resolver for Optimal Power flow (OPF) problem. Here, the main contrast to other Genetic Algorithm based approaches is that a novel expert based initial generation of population and adaptive probability approach (variable Cross over probability and mutation probability) is adopted in selection of offspring together with roulette wheel technique which reduces the computation time and increases the quality considerably. Selection and Placement of Shunt Devices are considered as a variable in this novel approach. Here continuous variables like Voltage Profile and discrete variable like transformer tapings are considered while minimizing the Fuel cost. The results obtained on standard IEEE 14 bus and 30 bus systems is compared with simple Genetic Algorithm and Particle Swarm Optimization (PSO) to Optimal Power flow and is found that this approach is more efficient, robust and promising.
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Mithun Bhaskar graduated and specialized in Electrical Engineering from Pondicherry University, India, in the year 2004 and 2007 respectively. Presently he is a Doctoral candidate at National Institute of Technology. His present interests include Real Time control of Power Systems, Power System Security, Nature and Bio-Inspired Computing (NaBIC), Artificial Intelligence (AI) and Meta-heuristic Techniques to Engineering Applications. He is a member of IEEE, ISTE, IEI (India), IAENG etc., and has many National and International Publications to his credit.
Mohan Benerji was born in the year 1985 and received his Bachelors Degree in Electrical Engineering from Jawaharlal Nehru Technological University, INDIA in the year 2007 and is presently specializing in Power System Engineering from National Institute of Technology, Warangal, INDIA. His interests include Real time control of Power systems, Artificial and Meta-heuristic technique applications to engineering.
Maheswarapu Sydulu received his B.Tech in Electrical Engineering, Specialized in Power Systems and received Ph.D in 1978, 1980 and in 1993 respectively from National Institute of Technology, Warangal, INDIA. Presently he is a Professor and Dean of the National Institute of Technology, Warangal. His areas of interest include Real Time power system operation and control, Artificial Intelligence techniques applications in Power Systems, Distribution system studies, Economic operation, Reactive power planning and management. Dr. Maheswarapu is member of various organizations including IEEE, ISTE etc. He is a reviewer of various Journals and has many International and National Journals and Publications to his credit.

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