MSA for Optimal Reconfiguration and Capacitor Allocation in Radial/Ring Distribution Networks
DOI:
https://doi.org/10.9781/ijimai.2018.05.002Keywords:
Radial Distribution System, Optimal Capacitor Location, Loss Reduction, Moth Swarm Algorithm.Abstract
This work presents a hybrid heuristic search algorithm called Moth Swarm Algorithm (MSA) in the context of power loss minimization of radial distribution networks (RDN) through optimal allocation and rating of shunt capacitors for enhancing the performance of distribution networks. With MSA, different optimization operators are used to mimic a set of behavioral patterns of moths in nature, which allows for flexible and powerful optimizer. Hence, a new dynamic selection strategy of crossover points is proposed based on population diversity to handle the difference vectors Lévy-mutation to force MSA jump out of stagnation and enhance its exploration ability. In addition, a spiral motion, adaptive Gaussian walks, and a novel associative learning mechanism with immediate memory are implemented to exploit the promising areas in the search space. In this article, the MSA is tested to adapt the objective function to reduce the system power losses, reduce total system cost and consequently increase the annual net saving with inequity constrains on capacitor size and voltage limits. The validation of the proposed algorithm has been tested and verified through small, medium and large scales of standard RDN of IEEE (33, 69, 85-bus) systems and also on ring main systems of 33 and 69-bus. In addition, the obtained results are compared with other algorithms to highlight the advantages of the proposed approach. Numerical results stated that the MSA can achieve optimal solutions for losses reduction and capacitor locations with finest performance compared with many existing algorithms.Downloads
References
A. Y. Abdelaziz, Ehab S. Ali & Sahar M. Abdelazim, “Flower Pollination Algorithm for Optimal Capacitor Placement and Sizing in Distribution Systems” Electrical Power Components and Systems. Vol. 44, no. 5, pp. 544-555, 2016.
J.B.V. Subrahmanyam, “Optimal capacitor placement in unbalanced radial distribution networks”, J. Theor. Appl. Inform. Technol. Vol. 6, no. 1, pp. 106–115, 2009.
T.S. Chung, Ge Shaoyun, “A recursive LP-based approach for optimal capacitor allocation with cost-benefit consideration”, Electric Power Syst. Res., Vol. 39, no. 2, pp. 129–136, Nov. 1996.
Ahmed Elsheikh, Yahya Helmy and Yasmine Abouelseoud, “Optimal Capacitor placement and Sizing in Radial Electric Power System”, Alex. Engineering Journal. Vol. 53, pp. 809-816, 2014.
Almoataz Y. Abdelaziz, Ehab S. Ali, Sahar M. Abdelazim, “flower pollination algorithm for optimal capacitor placement and sizing in distribution systems”, Electrical Power Components Systems. Vol. 44, no. 5, pp. 544-555, 2016.
K. Prakash, M. Sydulu, “Particle swarm optimization based capacitor placement on radial distribution system”, Proceedings of IEEE Power Engineering Society General Meeting. pp. 1–5, 2007.
T. Kerdphol et. al, “Optimization of a battery energy storage system using particle swarm optimization for stand-alone microgrids” Electrical Power and Energy Systems. Vol. 81, pp. 32–39, 2016.
A. Elsheikh, Y. Helmy, Y. Abouelseoud, A. Elsherif, “Optimal capacitor placement and sizing in radial electric power systems”, Alex. Eng J, Vol. 53, no. 4, pp. 809–816, 2014.
Sydulu M, Reddy VVK, “Index and GA based optimal location and sizing of distribution system capacitors”, IEEE power engineering society general meeting. pp. 1–4, June. 2007.
Sneha Sultana, Provas Kumar Roy, “Optimal capacitor placement in radial distribution systems using teaching learning based optimization”, Elsevier Int. J. Electr. Power Energy Syst., Vol. 54, pp. 387–398, 2014.
R.V. Rao, V.K. Patel, “Optimization of mechanical draft counter flow wet-cooling tower using artificial bee colony algorithm”, Energy Convers Manage, Vol. 52, no. 7, pp. 2611–2622, 2011.
Attia A. El-Fergany, Almoataz Y. Abdelaziz, “Cuckoo Search-based Algorithm for Optimal Shunt Capacitors Allocations in Distribution Networks”, Electrical Power Components and Systems. Vol. 41, no. 16, PP. 1567-1581, 2016.
Y. Mohamed Shuaiba, M. S. Kalavathib, C. C. Asir, “Optimal capacitor placement in radial distribution system using Gravitational Search Algorithm”, International Journal of Electrical Power & Energy Systems, Vol. 64, PP.384–397, 2015.
Felipe Duque, Leonardo Oliveira, Edimar Oliveira et al., “Allocation of capacitor banks in distribution systems through a modified monkey search optimization technique”, International Journal of Electrical Power & Energy Systems, Vol. 73, PP. 420–432, 2015.
D. B. Prakash, C. Lakshminarayana “Optimal siting of capacitors in radial distribution network using whale optimization algorithm” Alexandria Eng J., Vol. 56, no. 4, pp. 499-509, 2016.
E.S. Alia, S.M. Abd Elazima, A.Y. Abdelazizb, “Improved Harmony Algorithm for optimal locations and sizing of capacitors in radial distribution systems”, International Journal of Electrical Power & Energy Systems. Vol. 79, pp. 275-284, 2016.
Ying-Tung Hsiao, Chia-Hong Chen, Cheng-Chih Chien, “Optimal capacitor placement in distribution systems using a combination fuzzy-GA method”, International Journal of Electrical Power & Energy Systems. Vol. 26, no. 7, PP. 501–508, 2004.
M. Ramalinga Rajua, K.V.S. Ramachandra Murthyb, K. Ravindraa, “Direct search algorithm for capacitive compensation in radial distribution systems”, International Journal of Electrical Power & Energy Systems. Vol. 42, no. 1, PP. 24–30, 2012.
S. Neelim “Optimal capacitor placement in distribution networks for loss reduction using differential evolution incorporating dimension reducing load flow for different load levels” Energetic, 2012.
H.D. Chiang, J. Wang, O. Cockings, “Optimal capacitor placements in distribution systems: part 1: a new formulation and the overall problem”, IEEE Trans. Power Deliv, Vol. 5, pp. 634–642, 1990.
R. Srinivasas Raoa, S.V.L. Narasimhamb, “Optimal capacitor placement in a radial distribution system using Plant Growth Simulation Algorithm”, International Journal of Electrical Power & Energy Systems, Vol. 33, no. 5, pp. 1133–1139, 2011.
Ching-Tzong Su, Guor-Rurng Lii, Chih-Cheng Tsai, “Optimal capacitor allocation using fuzzy reasoning and genetic algorithms for distribution systems”, Mathematical and Computer Modelling, Vol. 33, no. 6–7, pp. 745-757, 2001.
Ahmed R. Abul’Wafa, “Optimal capacitor allocation in radial distribution systems for loss reduction: a two stage method”, Elsevier Electric Power Syst. Res., Vol. 95, pp. 168–174, 2013.
Mostafa Sedighizadeh, Marzieh Dakhem, Mohammad Sarvi, Hadi Hosseini, “Optimal reconfiguration and capacitor placement for power loss reduction of distribution system using improved binary particle swarm optimization”, Int J Energy Environ, Vol.73, no.5, pp. 1-11, 2014.
Sayyad Nojavan, Mehdi Jalali, Kazem Zare, “Optimal allocation of capacitors in radial/mesh distribution systems using mixed integer nonlinear programming approach”, Elsevier Electric Power Syst. Res. Vol. 107, pp.119–124 , 2014.
Ahmed R. Abul’Wafa, “Optimal capacitor placement for enhancing voltage stability in distribution systems using analytical algorithm and Fuzzy-Real Coded GA”, International Journal of Electrical Power & Energy Systems, Vol. 55, pp. 246–252, 2014.
Al-Attar Ali Mohameda, Yahia S. Mohamedb, Ahmed A.M. El-Gaafaryb, Ashraf M. Hemeida, “Optimal power flow using moth swarm algorithm”, Electric Power Systems Research, Vol. 142, pp. 190–206, 2017.
J. A. Michline Ruba and S. Ganesh “Power Flow Analysis for Radial Distribution Systems using Backward/Forward Sweep Method”, Vol. 8, no.10, pp. 1621 – 1625, 2014.
Yao X, Liu Y, Lin G. “Evolutionary programming made faster”. IEEE Trans. Evol. Comput. Vol. 3, no. 2, pp.82-102, 1999.
Karami A. “A fuzzy anomaly detection system based on hybrid psokmeans algorithm in content-centric networks”, Neurocomputing; Vol. 149, pp.1253-1269, 2015.
L. D. Coelho, V. C. Mariani, J. V. Leite. “Solution of Jiles–Atherton vector hysteresis parameters estimation by modified Differential Evolution approaches”, Expert Syst. Appl., Vol. 39, no. 2, pp.2021-2025, 2012.
Mirjalili S., “Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm”, Knowledge Based Syst.; Vol. 89, pp.228-249, 2015.
He S., Wu Q.H., “an optimization algorithm inspired by animal searching behavior”, IEEE Trans. Evol. Comput. Vol. 13, no. 5, pp. 973–990, 2009.
Zare K., Haque M. T., Davoodi E. “Solving non-convex economic dispatch problem with valve point effects using modified group search optimizer method”, Electr. Power Syst. Res. Vol. 84, no. 1, pp.83-89, 2012.
H. Reza and F. Rohollah. “Distribution system efficiency improvement using network reconfiguration and capacitor allocation” Elect.Power and Energy Sys. Vol. 64, pp. 457-468, 2015.
M. Sedighizadeh and M.M. mahmoodi, “Optimal Reconfiguration and Capacitor Allocation in Radial Distribution Systems Using the Hybrid Shuffled Frog Leaping Algorithm in the Fuzzy Framework” Journal of Operation and Automation in Power Engineering, Vol. 3, no. 1, pp. 56-70, 2015.
M. Mohammadi, A. Mohammadi Rozbahani, S. Bahmanyar. “Power loss reduction of distribution systems using BFO based optimal reconfiguration along with DG and shunt capacitor placement simultaneously in fuzzy framework”, Journal of Central South University, Vol. 24, no. 1, pp. 90−103, 2017.
T. Lantharthong, N. Rugthaicharoencheep. “Network Reconfiguration for Load Balancing in Distribution System with Distributed Generation and Capacitor Placement”, Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering. Vol. 6, no. 4, 2012.
Mohammad-Reza Askari, “A New Optimization Framework To Solve The Optimal Feeder Reconfiguration And Capacitor Placement Problems” Journal of Scientific & Technology Research. Vol. 4, no. 7, July 2015.
Sarfaraz Nawaz, A. Bansal, M.P. Sharma, “An Analytical Approach for DG Placement in Reconfigured Distribution Networks”, Journal of Applied Power Engineering, Vol. 5, no. 3, pp. 137-143, 2016.
Downloads
Published
-
Abstract62
-
PDF37
Submit Article
Information
