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Reconfiguring Distribution Networks by Means of Minimizing Power Loss and Considering Overcurrent Protection | ||
| International Journal of Industrial Electronics Control and Optimization | ||
| مقاله 6، دوره 4، شماره 3، آبان 2021، صفحه 321-331 اصل مقاله (1.35 M) | ||
| نوع مقاله: Research Articles | ||
| شناسه دیجیتال (DOI): 10.22111/ieco.2021.36302.1316 | ||
| نویسندگان | ||
| Elham Khoshbakht Sangcar1؛ Farhad Namdari* 2؛ Mysam Doostizadeh1 | ||
| 1Department of Electrical Engineering, Faculty of Engineering, Lorestan University, Khorram Abad, Iran | ||
| 2Electrical engineering department, Engineering faculty, Lorestan University | ||
| چکیده | ||
| This paper studies the reciprocal impact of distribution network protection and reconfiguration of active Nowadays, with increasing energy consumption in distribution networks and the demand of consumers to buy highly reliable power, it is of high importance to establish adapt between protection and operation of the power system. distribution system. Accordingly, a distribution network reconfiguration is carried out to find the optimal switching operations in an economic way. Since the switching operations will change network topology as well as short circuit level of buses, the protection coordination may be invalid. To address this issue, constraints of the coordination of protection relays and fuses is being formulated and added to the reconfiguration problem. Moreover, the nonlinear equations of the problem are linearized and are transformed the reconfiguration problem into Mixed-Integer Linear Programming (MILP) one to achieve the global optimal solution. The proposed method has been implemented on 33 bus distribution network. The results clearly show effectiveness of the active and reactive power management in an intelligent distribution network considering protection concepts. | ||
| کلیدواژهها | ||
| Active distribution network؛ Mixed-integer linear rogramming؛ Protection coordination؛ Reconfiguration | ||
| مراجع | ||
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[1] A. Kavousi-Fard, et al, “Multi-objective probabilistic reconfiguration considering uncertainty and multi-level load model,” IET Science, Measurement & Technology, vol. 9, no. 1, pp. 44-55, 2014. [2] I. Ben Hamida, et al, “Optimal integration of distributed generations with network reconfiguration using a pareto algorithm,” International Journal of Renewable Energy Research, Vol. 8, No. 1, pp. 345-356, 2018. [3] M. Mohammadi, et al, “Distribution automation planning and operation considering optimized switch placement and feeder reconfiguration strategies from reliability enhancement perspective,” IOS Press, vol. 35, pp. 3493-3506, 2018. [4] F. Xinming, et al, “Application of discrete learning optimization algorithm to distribution netwrk reconfiguration considering distrebuted generation[J],” Power System Protection and Control, vol. 46, no. 8, pp. 156-163, 2018. [5] S. P. Ghanegaonkar, V. N. Pande, “Optimal hourly scheduling of distributed generation and capacitors for minimisation of energy loss and reduction in capacitors switching operations,” IET Generation, Transmission & Distribution, vol. 11, no. 9, pp. 2244-2250, 2017. [6] S. Mohanty, et al, “A novel meta-heuristic approach for load balancing in cloud computing,” IGI Global, vol. 8, no. 1, pp. 29-49, 2018. [7] A. Merlin, “Search for a minimal-loss operating spanning tree configuration for an urban power distribution system. Proc. of 5th PSCC, vol. 1, pp. 1- 18, 1975. [8] S. K. Goswami, S. K. Basu, “A new algorithm for the reconfiguration of distribution feeders for loss minimization,” IEEE Transactions on Power Delivery, vol. 7, no. 3, pp. 1484-1491, 1992. [9] R. Taleski, D. Rajicic, “Distribution network reconfiguration for energy loss reduction,” IEEE Transactions on Power Systems, vol. 12, no. 1, pp. 398- 406, 1997. [10] V. Borozan, N. Rajakovic, “Application assessments of distribution network minimum loss reconfiguration,” IEEE Transactions on Power Delivery, vol. 12, no. 4, pp. 1786-1792, 1997. [11] F. Ding, K. A. Loparo, “Hierarchical decentralized network reconfiguration for smart distribution systems— Part I: Problem formulation and algorithm development,” IEEE Transactions on Power Systems, vol. 30, no. 2, pp. 734-743, 2014. [12] P. Mariaraja, T. Manigandan and S. Thiruvenkadam, “An expert system for distribution system reconfiguration through fuzzy logic and flower pollination algorithm,” SAGE Publications, vol. 51, pp. 371-382, 2018. [13] S. S. F. Souza, R. Romero and J. F. Franco, “Artificial immune networks copt-ainet and opt-ainet applied to the reconfiguration problem of radial electrical distribution systems,” Electric Power Systems Research, vol. 119, pp. 304-312, 2015. [14] K. S. Kumar, T. Javabarathi, “Power system reconfiguration and loss minimization for a distribution systems using bacterial foraging optimization algorithm,” International Journal of Electrical Power & Energy Systems, vol. 36, pp. 13-17, 2012. [15] X. Xiaoqin, et al, “Reconfiguration of two-voltage distribution network based on cuckoo srarch and simulated annealing algorithm,” Power System Protection and Control, vol. 48, pp. 11, 2018. [16] G. J. Peponis, M. P. Papadopulos and N. D. Hatziargyriou, “Optimal operation of distribution networks,” IEEE Transactions on Power Systems, vol. 11, no. 1, pp. 59-67, 1996. [17] F. Capitanescu, et al, “Assessing the potential of network reconfiguration to improve distributed generation hosting capacity in active distribution systems,” IEEE Transactions on Power Systems, vol. 30, no. 1, pp. 346-356, 2014. [18] S. M. Hadad Baygi, J. Farzane, “Application of artificial intelligence techniques for optimum design of hybrid grid-independent PV/WT/battery power system,” International Journal of Industrial Electronics, Control and Optimization, Vol.3, no. 3, pp. 275-289, 2020. [19] A. Bu Jubarah, M. Al-Muhaini and I. M. Elamin, “A MILP-based approach for virtual microgrid restoration,” IEEE Access, vol. 8, pp. 116695-116703, 2020. [20] S. K. Bhattacharya, S. K. Goswami, “Distribution network reconfiguration considering protection coordination constraint,” Electric Power Components and Systems, vol. 36, no. 11, pp. 1150-1165, 2008. [21] E. Bagherzadeh, Z. Ahmadian, “MILP-based automatic differential search for LEA and HIGHT block ciphers,” IET Information Security, vol. 14, no. 5, pp. 595-603, 2020. [22] X. Qiao, et al, “Optimal scheduling of distribution network incorporating topology reconfiguration, BES and load response: A MILP model,” CSEE Journal of Power and Energy Systems, pp. 1-12, 2020. [23] R. P. Broadwater, et. Al, “An expert system for integrated protection design with configurable distribution circuits. I, ” IEEE Transactions on Power Delivery, vol. 9, no. 2, pp. 1115-1121, 1994. [24] W. -M. Lin, F.-S. Cheng and M.-T. Tsay, “Distribution feeder reconfiguration with refined genetic algorithm,” IEE Proceedings-Generation, Transmission and Distribution, vol. 147, no. 6, pp. 349-354, 2000. [25] D. Zhang, Z. Fu and L. Zhang, “An improved TS algorithm for loss-minimum reconfiguration in large- scale distribution systems,” Electric Power Systems Research, vol. 77, no. 5-6, pp. 685-694, 2007. [26] J. S. Savier, D. Das, “Impact of network reconfiguration on loss allocation of radial distribution systems,” IEEE Transactions on Power Delivery, vol. 22, no. 4, pp. 2473-2480, 2007. [27] J. J. Shea, “Protection of electricity distribution networks, 2nd ed,” IEEE Electrical Insulation Magazine, vol. 21, no. 2, pp. 55–55, 2005. [28] GAMS, 2011. [Online]. Available: http://www.gams.com. | ||
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