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PSO-DFFP Technique Used for Optimal Network Reconfiguration with Dispersed Generation
Abstract
Dispersed Generation and Network Reconfiguration have been generally engaged to maintain voltage level with permissible limit and decrease the energy losses in the Distribution Systems. In this article, a Partial Swarm Optimization with Distinctive Feed Forward Propagation (PSO-DFFP) controller is developed to minimize the power losses in Dispersed Generation and network reconfiguration. Different scenarios are used to analyze the performance of developed method. The designed and developed method is effectively experienced in RDS (Radial Distribution System) using IEEE 33 bus with different loads. The voltage summary in IEEE 33-buses is better when compared to other basic voltage profile.
References
J.P. Navani, N.K. Sharma, Sonal Sapra, “Technical and Non-Technical Losses in Power System and Its Economic Consequence in Indian Economy”, International Journal of Electronics and Computer Science Engineering. March 2011; 1 (2): 757–761.
R. Srinivasa Rao, K. Ravindra, K. Satish, S.V.L. Narasimham, “Power Loss Minimization in Distribution System Using Network Reconfiguration in the Presence of Distributed Generation”, IEEE Transactions on Power Systems. February 2013; 28 (1): 317–325.
Helon David de Macêdo Braz, Benemar Alencar de Souza, “Distribution Network Reconfiguration Using Genetic Algorithms with Sequential Encoding: Subtractive and Additive Approaches”, IEEE Transactions on Power Systems. May 2011; 26 (2): 582–593.
C. Nagarajan, M. Madheswaran, D. Ramasubramanian. “Development of DSP based Robust Control Method for General Resonant Converter Topologies using Transfer Function Model’-Acta Electrotechnica et Informatica Journal. April–June 2013; 13 (2):18–31.
C. Nagarajan, M. Madheswaran. “DSP Based Fuzzy Controller for Series Parallel Resonant converter’-Springer, Frontiers of Electrical and Electronic Engineering. December 2012; 7 (4): 438–446.
Thangaraju, M. Muruganandam, C. Nagarajan. “Implementation of PID Trained Artificial Neural Network Controller for Different DC Motor Drive’ Middle-East Journal of Scientific Research. 2015; 23 (4): 606–618.
A. Merlin, H. Back. “Search for a minimum loss operating spanning tree configuration for an urban power distribution system”, Proceedings on 5th Power System Computation Conference, 1975. United Kingdom (GBR)
C. Nagarajan, M. Madheswaran. “Experimental verification and stability state space analysis of CLL-T Series Parallel Resonant Converter”. Journal of Electrical Engineering. December 2012; 63 (6): 365–372.
S. Civanlar, J.J. Grainger, H. Yin, S.S.H. Lee. “Distribution feeder reconfiguration for loss reduction”, IEEE Transaction on Power Delivery. July 1988; 3 (3): 1217–1223.
T. Wagner, A. Chikhani, R. Hackman. “Feeder reconfiguration for loss reduction: an application of distribution automation”, IEEE Transaction on Power Delivery. October 1991; 6 (4): 1922–1933.
Manas Ranjan Nayak, “Optimal Feeder Reconfiguration of Distribution System with Distributed Generation Units using HC-ACO”, International Journal on Electrical Engineering and Informatics. March 2014; 6 (1): 107–128.
G.V.K Murthy Sivanagaraju, S. Satyanarayana, B. Hanumantha Rao, “Artificial Bee Colony Algorithm for Distribution Feeder Reconfiguration with Distributed Generation”, International Journal of Engineering Sciences & Emerging Technologies. October 2012; 3 (2): 50–59.
Javad Olamaei, Sirous badali, Taher Niknam. “Distribution Feeder Reconfiguration for Loss Minimization Based on Modified Honey Bee Mating Optimization Algorithm with Distributed Generations”, Australian Journal of Basic and Applied Sciences. May 2012; 6 (2): 133–141.
C. Nagarajan, M. Madheswaran. "Analysis and Simulation of LCL Series Resonant Full Bridge Converter Using PWM Technique with Load Independent Operation" 2007 IET-UK International Conference on Information and Communication Technology in Electrical Sciences (ICTES 2007). 20–22 December 2007; Chennai, India. US: IEEE Press; 190–195 p.
M.J. Kasaei and M. Gandomkar, “Loss Reduction in Distribution Network Using Simultaneous Capacitor Placement and Reconfiguration With Ant Colony Algorithm”, 2010 Asia-Pacific Power and Energy Engineering Conference. 28–31 March 2010; Chengdu, China. US: IEEE Press; 2010.
Diana P. Montoya and Juan M, “Reconfiguration and optimal capacitor placement for losses reduction”, IEEE Proceedings, DOI: 978-1-4673-2673-5, 2012.
Farahai, Behrooz and Hossein, “Reconfiguration and capacitor placement simultaneously for energy loss reduction based on an improved reconfiguration method,” IEEE Transaction on Power System, vol. 27, no. 2, pp. 587–595, May 2012.
B. Venkatesh, S. Chandra mohan, N. Kayalvizhi, R.P. Kumudini Devi, “Optimal reconfiguration of radial distribution system using artificial intelligence method” 2009 IEEE Toronto International Conference Science and Technology for Humanity (TIC-STH). 26-27 September 2009 ; Toronto, ON, Canada.
C. Nagarajan and M. Madheswaran-‘Performance Analysis of LCL-T Resonant Converter with Fuzzy/PID Using State Space Analysis’-Springer, Electrical Engineering. September 2011; 93 (3): 167–178.
J.J. Jamian, M.W. Mustafa, H. Mokhlis, M.A. Baharudin, “Simulation study on optimal placement and sizing of Battery Switching Station units using Artificial Bee Colony algorithm”, International Journal of Electrical Power and Energy Systems. May 2014; 55: 592–601.
Hamid Reza Esmaeilian, Roohollah Fadaeinedjad, “Energy Loss Minimization in Distribution Systems Utilizing an Enhanced Reconfiguration Method Integrating Distributed Generation”, IEEE Systems Journal, December 2015; 9 (4): 1430–1439.
C. Nagarajan, M. Madheswaran. “Stability Analysis of Series Parallel Resonant Converter with Fuzzy Logic Controller Using State Space Techniques”. Electric Power Components and Systems. May 2011; 39 (8): 780–793.
A.L. Shenkman, “Energy loss computation by using statistical techniques,” IEEE Transaction on Power Delivery. January 1990; 5 (1): 254–258.
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