Optimum Simultaneous Distributed Generation Units Insertion and Distribution Network Reconfiguration Using Salp Swarm Algorithm
Engineering and Technology Journal,
2020, Volume 38, Issue 11, Pages 1730-1743
AbstractContemporary researches offer that most researchers have concentrated on either network reconfiguration or Distributed Generation (DG) units insertion for boosting the performance of the distribution system (DS). However, very few researchers have been studied optimum simultaneous distributed generation units insertion and distribution networks reconfiguration (OSDGIR). In this paper, the stochastic meta-heuristic technique belong to swarm intelligence algorithms is proposed. Salp Swarm Algorithm (SSA) is inspired by the behavior of salps when navigating and foraging in the depth of the ocean. It utilized in solving OSDGIR. The objective function is to reduce power loss and voltage deviation in the Distribution System. The SSA is carried out on two different systems: IEEE 33-bus and local Iraqi radial (AL-Fuhood distribution network). Three cases are implemented; only reconfiguration, only DG units insertion, and OSDGIR. Promising results were obtained, where that power loss reduced by 93.1% and recovery voltage index enhanced by 5.4% for the test system and by 78.77% reduction in power loss and 8.2% improvement in recovery voltage for AL-Fuhood distribution network after applying OSDGIR using SSA. Finally, SSA proved effectiveness after an increase in test system loads by different levels in terms of reduced power loss and voltage deviation comparison with other methods.
 S. CIVANLAR, J. GRAINGER, H. YIN, and S. LEE, "Distribution Feeder Reconfiguration for Loss Reduction,” IEEE Transactions on Power Delivery, Vol. 3," 1988.
 O. Badran, S. Mekhilef, H. Mokhlis, and W. Dahalan, "Optimal reconfiguration of distribution system connected with distributed generations: A review of different methodologies," Renewable and Sustainable Energy Reviews, vol. 73, pp. 854-867, 2017.
 A. M. Imran and M. Kowsalya, "A new power system reconfiguration scheme for power loss minimization and voltage profile enhancement using fireworks algorithm," International Journal of Electrical Power & Energy Systems, vol. 62, pp. 312-322, 2014.
 F. M. Flaih, X. Lin, M. K. Abd, S. M. Dawoud, Z. Li, and O. S. Adio, "A new method for distribution network reconfiguration analysis under different load demands," Energies, vol. 10, p. 455, 2017.
 D. Vo Ngoc and N. Tran Anh, "Distribution Network Reconfiguration for Power Loss Reduction and Voltage Profile Improvement Using Chaotic Stochastic Fractal Search Algorithm," Complexity, vol. 2020, 2020.
 P. P. Barker and R. W. De Mello, "Determining the impact of distributed generation on power systems. I. Radial distribution systems," in 2000 Power Engineering Society Summer Meeting (Cat. No. N. Rugthaicharoencheep and S. Auchariyamet, "Technical and economic impacts of distributed generation on distribution system," International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering, vol. 6, pp. 385-389, 2012.
 N. Rugthaicharoencheep and S. Auchariyamet, "Technical and economic impacts of distributed generation on distribution system," International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering, vol. 6, pp. 385-389, 2012.
 C. Wang and M. H. Nehrir, "Analytical approaches for optimal placement of distributed generation sources in power systems," IEEE Transactions on Power systems, vol. 19, pp. 2068-2076, 2004.
 D. Singh, D. Singh, and K. Verma, "Multiobjective optimization for DG planning with load models," IEEE transactions on power systems, vol. 24, pp. 427-436, 2009.
 A. El-Zonkoly, "Optimal placement of multi-distributed generation units including different load models using particle swarm optimization," Swarm and Evolutionary Computation, vol. 1, pp. 50-59, 2011.
 W. M. Dahalan, H. Mokhlis, R. Ahmad, A. A. Bakar, and I. Musirin, "Simultaneous network reconfiguration and DG sizing using evolutionary programming and genetic algorithm to minimize power losses," Arabian Journal for Science and Engineering, vol. 39, pp. 6327-6338, 2014.
 R. Srinivasa Rao, K. Ravindra, K. Satish, and S. L. Narasimham, "Power loss minimization in distribution system using network reconfiguration in the presence of distributed generation," IEEE transactions on power delivery, vol. 28, pp. 317-325, 2013.
 M. Muhtazaruddin, J. Jamian, G. Fujita, M. Baharudin, M. Wazir, and H. Mokhlis, "Distribution network loss minimization via simultaneous distributed generation coordination with network reconfiguration," Arabian Journal for Science and Engineering, vol. 39, pp. 4923-4933, 2014.
 I. A. Quadri and S. Bhowmick, "A hybrid technique for simultaneous network reconfiguration and optimal placement of distributed generation resources," Soft Computing, pp. 1-22, 2019.
 R. Snjay, T. Jayabarathi, T. Raghunathan, V. Ramesh, N. Mithulananthan, "optimal allocation of distributed generation using hybrid grey wolf optimizer," IEEE access, vol. 5, pp. 14807- 14818, 2017.
 M. K. Abd, S. J. Cheng, H. S. Sun, “optimal DG placement and sizing for power loss reduction in a radial distribution system using MPGSA and sensitivity index method," IEEE 11th Conference on industrial electronics and applications, Hefei, china, 2016.
 S. Mirjalili, A. H. Gandomi, S. Z. Mirjalili, S. Saremi, H. Faris, and S. M. Mirjalili, "Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems," Advances in Engineering Software, vol. 114, pp. 163-191, 2017.
 M. S. Asasi, M. Ahanch, Y. T. Holari," optimal allocation of distributed generations sand shunt capacitors using salp swarm algorithm," 26th Iranian Conference on Electrical Engineering, Mashhad, Iran, 2018.
 K. S. Sambaiah and T. Jayabarathi," optimal reconfiguration and renewable distributed generation allocation in electric distribution systems," International Journal of Ambient Energy, 2019.
- Article View: 126
- PDF Download: 95