Work place: Department of Electrical Engineering, Indian Institute of Technology Delhi, India
E-mail: bkpanigrahi@ee.iid.ac.in
Website:
Research Interests: Planning and Scheduling, Computing Platform, Process Control System
Biography
Bijaya Ketan Panigrahi obtained his M. Tech degree in Electrical Engineering from University College of engineering, Burla, sambalpur, Orissa in 1995 and Ph.D. degree from sambalpur University Orissa (India) in 2004. He is currently working as Associate Professor in Department of Electrical Engineering, IIT, Delhi,(India). His areas of research includes the study of advanced signal processing techniques, Computational intelligence algorithm and their applications to electrical engineering, in particular to domain of power system. He is also works in area of application of evolutionary computing techniques to solve problem related to power system planning, operation and control.
By Hari Mohan Dubey Manjaree Pandit B.K. Panigrahi Mugdha Udgir
DOI: https://doi.org/10.5815/ijisa.2013.08.03, Pub. Date: 8 Jul. 2013
This paper presents a novel heuristic optimization method to solve complex economic load dispatch problem using a hybrid method based on particle swarm optimization (PSO) and gravitational search algorithm (GSA). This algorithm named as hybrid PSOGSA combines the social thinking feature in PSO with the local search capability of GSA. To analyze the performance of the PSOGSA algorithm it has been tested on four different standard test cases of different dimensions and complexity levels arising due to practical operating constraints. The obtained results are compared with recently reported methods. The comparison confirms the robustness and efficiency of the algorithm over other existing techniques.
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