Application of Whale Optimization Algorithm for Distribution Feeder Reconfiguration

A. V. Sudhakara Reddy*, M. Damodar Reddy**
* Research Scholar, Department of Electrical Engineering, Sri Venkateswara University, Tirupati, India.
** Professor, Department of Electrical and Electronics Engineering, SriVenkateswara University, Tirupati, India.
Periodicity:January - March'2018


This manuscript proposes a novel technique to solve the feeder reconfiguration problem with an objective of minimizing total real loss and maximizing energy savings in a radial distribution system. Feeder reconfiguration (FRCG) is a significant way of altering the power flows through the lines or to alleviate the overloads on the feeders, while maintaining the radial structure. To ensure the radial nature and avoid islanding of nodes, all feasible switching combinations are formed prior to the optimization process using a graph theory. This FRCG problem enables for determining the best combination of switches are to be opened for maximum loss reduction and energy savings, so it offers optimal performance. A Meta-heuristic Whale Optimization (WOA) Algorithm is used to reconfigure and identify the optimal secure switches for maximum real power loss reduction, which directs to energy savings in the main distribution system. The constraint of real power loss is incorporated into the estimation of the objective function. The anticipated method has been examined on standard 33-node and 119-node systems at regular load pattern, where attained results are compared by means of available literature.


Energy Savings, Load Impact, Radiality Constraint, Network Reconfiguration and Whale Optimization Algorithm

How to Cite this Article?

Reddy, A. V. S., and Reddy, M. D. (2018). Application Of Whale Optimization Algorithm For Distribution Feeder Reconfiguration. i-manager’s Journal on Electrical Engineering, 11(3), 17-24.


[1]. Abdelaziz, A. Y., Osama, R. A., & Elkhodary, S. M. (2013). Distribution systems reconfiguration using ant colony optimization and harmony search algorithms. Electric Power Components and Systems, 41(5), 537-554.
[2]. Das, D., Kothari, D. P., & Kalam, A. (1995). Simple and efficient method for load flow solution of radial distribution networks. International Journal of Electrical Power & Energy Systems, 17(5), 335-346.
[3]. Gomes, F. V., Carneiro, S., Pereira, J. L. R., Vinagre, M. P., Garcia, P. A. N., & Araujo, L. R. (2005). A new heuristic reconfiguration algorithm for large distribution systems. IEEE Transactions on Power systems, 20(3), 1373-1378.
[4]. Goswami, S. K., & Basu, S. K. (1992). A new algorithm for the reconfiguration of distribution feeders for loss minimization. IEEE Transactions on Power Delivery, 7(3), 1484-1491.
[5]. Gupta, N., Swarnkar, A., & Niazi, K. R. (2011). Reconfiguration of distribution systems for real power loss minimization using adaptive particle swarm optimization. Electric Power Components and Systems, 39(4), 317-330.
[6]. Haque, M. H. (1999). Capacitor placement in radial distribution systems for loss reduction. IEE Proceedings- Generation, Transmission and Distribution, 146(5), 501- 505.
[7]. Imran, A. M., & Kowsalya, M. (2014). A new power system reconfiguration scheme for power loss minimization and voltage profile enhancement using fireworks algorithm. International Journal of Electrical Power & Energy Systems, 62, 312-322.
[8]. Mirjalili, S., & Lewis, A. (2016). The whale optimization algorithm. Advances in Engineering Software, 95, 51-67.
[9]. Mishima, Y., Nara, K., Satoh, T., Ito, T., & Kaneda, H. (2005). Method for minimum-loss reconfiguration of distribution system by tabu search. Electrical Engineering in Japan, 152(2), 18-25.
[10]. Namachivayam, G., Sankaralingam, C., Perumal, S. K., & Devanathan, S. T. (2016). Reconfiguration and capacitor placement of radial distribution systems by modified flower pollination algorithm. Electric Power Components and Systems, 44(13), 1492-1502.
[11]. Niknam, T. (2010). An efficient hybrid evolutionary algorithm based on PSO and ACO for distribution feeder reconfiguration. International Transactions on Electrical Energy Systems, 20(5), 575-590.
[12]. Niknam, T., & Nayeripour, M. (2011). An efficient multi-objective modified shuffled frog leaping algorithm for distribution feeder reconfiguration problem. International Transactions on Electrical Energy Systems, 21(1), 721-739.
[13]. Rao, R. S., Narasimham, S. V. L., Raju, M. R., & Rao, A. S. (2011). Optimal network reconfiguration of large-scale distribution system using harmony search algorithm. IEEE Transactions on Power Systems, 26(3), 1080-1088.
[14]. Reddy, A. S., & Reddy, M. D. (2016a). Optimization of distribution network reconfiguration using dragonfly algorithm. Journal of Electrical Engineering.
[15]. Reddy, A. S., & Reddy, M. D. (2016b). Optimization of network reconfiguration by using particle swarm optimization. In Power Electronics, Intelligent Control and Energy Systems (ICPEICES), IEEE International Conferenceon (pp. 1-6). IEEE.
[16]. Reddy, A. S., & Reddy, M. D. (2017a). Optimal Capacitor Allocation for the Reconfigured Network using Ant Lion Optimization Algorithm. International Journal of Applied Engineering Research, 12(12), 3084-3089.
[17]. Reddy, A. S., & Reddy, M. D.(2017b). Network Reconfiguration of Distribution System for Maximum Loss Reduction Using Sine Cosine Algorithm." International Journal of Engineering Research and Application (IJsERA), 7(10), 34-39.
[18]. Reddy, A. S., Reddy, M. D., & Reddy, M. S. K. (2017). Network Reconfiguration of Primary Distribution System Using GWO Algorithm. International Journal of Electrical and Computer Engineering (IJECE), 7(6), 3226-3234.
[19]. Reddy, M. D., & Reddy, V. C. (2010). A two-stage methodology of optimal capacitor placement for the network,, 17, 105-112.
[20]. Sedighizadeh, M., Dakhem, M., Sarvi, M., & Kordkheili, H. H. (2014). Optimal reconfiguration and capacitor placement for power loss reduction of distribution system using improved binary particle swarm optimization. International Journal of Energy and Environmental Engineering, 5(1).
[21]. Shirmohammadi, D., & Hong, H. W. (1989). Reconfiguration of electric distribution networks for resistive line losses reduction. IEEE Transactions on Power Delivery, 4(2), 1492-1498.
[22]. Zhang, D., Fu, Z., & Zhang, L. (2007). An improved TS algorithm for loss-minimum reconfiguration in large-scale distribution systems. Electric Power Systems Research, 77(5-6), 685-694.

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