مکان‌یابی اتوبوسترها (AVRs) و بازآرایی شبکه هاي توزیع شعاعی به طور همزمان و مقاوم با در نظر گرفتن عدم قطعیت بار
محورهای موضوعی : مهندسی برق و کامپیوترمحمودرضا شاکرمی 1 , یاسر محمدی‌پور 2
1 - دانشگاه لرستان
2 - دانشگاه لرستان
کلید واژه: بهینه‌سازي اجتماع ذرات عدد صحیح (IPSO) بازآرایی سیستم توزیع مکان‌یابی اتوبوستر (AVR) قابلیت اطمینان, تلفات توان عدم قطعیت بار,
چکیده مقاله :
در این تحقیق موضوع جایابی بهینه اتوبوسترها (AVRs) و بازآرایی شبکه‌هاي توزیع به طور همزمان به عنوان یک مسئله بهینه‌سازي مطرح شده است. یک تابع هدف جدید شامل شاخص‌هاي تلفات توان حقیقی (اکتیو)، تلفات توان واکنشی (راکتیو)، پروفیل ولتاژ، قابلیت اطمینان، ظرفیت بارگذاري (MVA) سیستم و پایداري ولتاژ معرفی گردیده است. جهت مقاوم‌نمودن وضعیت کلیدها در موضوع بازآرایی و همچنین مقاوم‌نمودن مکان و تپ اتوبوسترها در مقابل تغییرات بار، سطوح مختلفی از بار به طور همزمان در تابع هدف در نظر گرفته شده است. به همین منظور یک روش جدید براي محاسبه سطوح بار با در نظر گرفتن عدم قطعیت بار معرفی شده است. همچنین بار نیز به صورت مدل وابسته به ولتاژ در نظر گرفته شده و به همین منظور سناریوهاي مختلفی معرفی شده‌اند. براي حل این مسئله از الگوریتم بهینه‌سازي اجتماع ذرات عدد صحیح (IPSO) استفاده شده است. نتایج شبیه‌سازي روي سیستم‌هاي توزیع شعاعی 33 و 69شینه استاندارد IEEE مؤثربودن روش ارائه‌شده را نشان می‌دهد.
: In this paper, optimal locating for AVRs and reconfiguration of distribution networks were assessed simultaneously as an optimization problem. A new objective function was introducing which incorporated several electrical indices including real power losses, reactive power losses, reliability, voltage profile, voltage stability, and load capacity of lines (MVA). Various load levels were incorporated into the objective function to make sure that switch status in reconfiguration and AVR taps and locations would be robust against load variations. This paper also introduced a new method for calculating the load levels with respect to load uncertainty. It also considered all loads based on a voltage-dependent model. Several scenarios are defined to thoroughly assess the proposed approach. Integer particle swarm optimization algorithm (IPSO) was used to solve the mentioned optimization problem. The results obtained by the simulation of 33-bus and 69-bus standard IEEE .radial power distribution networks demonstrated the effectiveness of the proposed approach
[1] Power System Outage Task Force, Final Report on the August 14, 2003 Blackout in the United States and Canada: Causes and Recommendations, Canada, Apr. 2004.
[2] R. Billinton and R. N. Allan, Reliability Evaluation of Power Systems, 2nd Ed. New York: Plenum, 1996.
[3] H. L. Willis, Power Distribution Planning Reference Book, 2nd Ed. New York: Mercel Dekkar, 2004.
[4] J. B. Bunch and R. D. Miller, "Distribution system integrated voltage and reactive power control," IEEE Trans. on Power Apparatus and Systems, vol. 101, no. 2, pp. 284-289, Feb. 1984.
[5] M. A. Kashem, "A novel method for loss reduction in distribution network," IEEE Trans. on Power Del., vol. 1, no. 1, pp 4-7, Apr. 2000.
[6] A. C. Gallardo, L. G. Santander, and J. E. Pezao, "Greedy reconfiguration algorithms for medium voltage distribution networks," IEEE Trans. on Power Del., vol. 24, no. 1, pp. 328-337, Jan. 2009.
[7] J. S. Savier and D. Das, "Loss allocation to consumers before and after reconfiguration of radial distribution networks," Electric Power and Energy Sys., vol. 33, no. 3, pp. 540-549, Mar. 2011.
[8] L. Oloveria, et al., "Optimal reconfiguration and capacitor allocation in radial distribution systems for energy losses minimization," Electric Power and Energy Sys., vol. 32, no. 8, pp. 840-848, Oct. 2010.
[9] S. P. Singh, G. S. Raju, and G. K. Roa, "A heuristic method for feeder reconfiguration and service restoration in distribution networks," Electric Power and Energy Sys., vol. 31, no. 7, pp. 309-314, Sept. 2009.
[10] J. Zhua, et al., "A rule based comprehensive approach for reconfiguration of electrical distribution network," Electric Power Systems Research, vol. 79, no. 2, pp. 311-315, Feb. 2009.
[11] G. K. V. Raju and P. R. Bijwe, "An efficient algorithm for minimum loss reconfiguration of distribution system based on sensitivity and heuristics," IEEE Trans. on Power Sys., vol. 23, no. 3, pp. 1280-1287, Aug. 2008.
[12] H. Braz and B. Souza, "Distribution network reconfiguration using genetic algorithms with sequential encoding: subtractive and additive approaches," IEEE Trans. on Power Sys., vol. 26, no. 2, pp. 582-593, May 2011.
[13] N. Gupta, A. Swarnkar, K. R. Niazi, and R. C. Bansal, "Multi objective reconfiguration of distribution systems using adaptive genetic algorithm in fuzzy framework," IET Gener. Transm. Distrib., vol. 4, no. 12, pp. 1288-1298, Dec. 2010.
[14] W. Wu and M. Tsai, "Application of enhanced integer coded particle swarm optimization for distribution system feeder reconfiguration," IEEE Trans. on Power Sys., vol. 26, no. 3, pp. 1591-1599, Aug. 2011.
[15] T. Niknam, E. Azadfarsani, and M. Jabbari, "A new hybrid evolutionary algorithm based on new fuzzy adaptive PSO and NM algorithms for distribution feeder reconfiguration," Energy Conversion and Management, vol. 54, no. 1, pp. 7-16, Feb. 2012.
[16] A. Swarnkar, N. Gupta, and K. R. Niazi, "Adapted ant colony optimization for efficient reconfiguration of balanced and unbalanced distribution systems for loss minimization," Swarm and Evolutionary Computation, vol. 1, no. 3, pp. 129-137, Feb. 2011.
[17] A. Saffar, R. Hooshmand, and A. Khodabakhshian, "A new fuzzy optimal reconfiguration of distribution systems for loss reduction and load balancing using ant colony searchbased algorithm," Applied Soft Computing, vol. 11, no. 5, pp. 4021-4028, Jul. 2011.
[18] A. Merlin and G. Back, "Search for minimum-loss operational spanning tree configuration for an urban power distribution system," in Proc. Fifth Power System Conf., PSCC'75, pp. 1-18, Cambridge, U.K, Sept. 1975.
[19] C. Civanlar, J. J. Grainger, H. Yin, and S. S. H. Lee, "Distribution feeder reconfiguration for loss reduction," IEEE Trans. on Power Del., vol. 3, no. 3, pp. 1217-1223, Jul. 1988.
[20] D. Shirmohammadi and H. W. Hong, "Reconfiguration of electric distribution networks for resistive line losses reduction," IEEE Trans. on, Power Del., vol. 4, no. 2, pp. 1492-1498, Apr. 1989.
[21] M. E. Baran and F. F. Wu, "Network reconfiguration in distribution systems for loss reduction and load balancing," IEEE Trans. Power Del., vol. 4, no. 2, pp. 1401-1407, Apr. 1989.
[22] S. K. Goswami and S. K. Basu, "A new algorithm for the reconfiguration of distribution feeders for loss minimization," IEEE Trans., Power. Del., vol. 7, no. 3, pp. 1484-1491, Jul. 1992.
[23] B. Amanulla, S. Chakrabarti, and S. N. Singh, "Reconfiguration of power distribution systems considering reliability and power loss," IEEE Trans. on Power Del., vol. 27, no. 2, pp. 918-926, Apr. 2012.
[24] V. Farahani, B. Vahidi, and H. A. Abyaneh, "Reconfiguration and capacitor placement simultaneously for energy loss reduction based on an improved reconfiguration method," IEEE Trans. on Power Sys., vol. 27, no. 2, pp. 587-595, May 2012.
[25] R. Srinivasa Rao, K. Ravindra, K. Satish, and S. V. L. Narasimham, "Power loss minimization in distribution system using network reconfiguration in the presence of distributed generation," IEEE Trans. on Power Sys., vol. 28, no. 1, pp. 317-325, Feb. 2013.
[26] F. Scenna, D. Anaut, L. Passoni, and G. Meschino, "Reconfiguration of electrical networks by an ant colony optimization algorithm," IEEE Latin American Trans., vol. 11, no. 1, pp. 538-544, Feb. 2013.
[27] M. Hoseini, H. Hosseinpour, and B. Bastaee, "A new multi objective optimization approach in distribution systems," Optim Lett., vol. 8, no. 1, pp.181-199, Jan. 2014.
[28] T. Niknam, A. M. Ranjbar, and A. R. Shirani, "An approach to Volt_Var control in distribution networks with distributed generation," Scientia Iranica, vol. 12, no. 1, pp. 34-42, Jan. 2005.
[29] J. E. Mendoza, et al., "Multiobjective location of automatic voltage regulators in a radial distribution network using a micro genetic algorithm," IEEE Trans. on Power Sys., vol. 22, no. 1, pp. 404-412, Feb. 2007.
[30] S. Mishra, D. Das, and S. Paul, "A comprehensive review on power distribution network reconfiguration," Energy Systems, vol. 8, no. 2, pp. 227-284, May 2017.
[31] P. Pavani and S. N. Singh, "Reliability evaluation of distribution system with network reconfiguration and distributed generations," Sustainable Power Systems: Modelling, Simulation and Analysis, vol. 1, no. 1, pp. 61-87, Jan. 2017.
[32] M. H. Hemmatpour, et al., "Optimum islanded microgrid reconfiguration based on maximization of system loadability and minimization of power losses," International J. of Electrical Power & Energy Systems, vol. 78, no. 1 pp. 343-355, Jun. 2016.
[33] M. R. Narimani, et al., "Enhanced gravitational search algorithm for multi-objective distribution feeder reconfiguration considering reliability, loss and operational cost," IET Generation, Transmission & Distribution, vol. 8, no. 1, pp. 55-69, Jan. 2014.
[34] A. M. Imran, et al., "A novel integration technique for optimal network reconfiguration and distributed generation placement in power distribution networks," International J. of Electrical Power & Energy Systems, vol. 63, no. 1, pp. 461-472, Dec. 2014.
[35] H. Bagheri Tolabi, et al., "Novel hybrid fuzzy-intelligent water drops approach for optimal feeder multi objective reconfiguration by considering multiple-distributed generation," J. of Operation and Automation in Power Engineering, vol. 2, no. 2, pp. 91-102, Summer and Autumn 2014.
[36] F. Ugranli and E. Karatepe, "Multiple-distributed generation planning under load uncertainty and different penetration levels," Electrical Power and Energy Systems, vol. 46, no. 1, pp. 132-144, Mar. 2013.
[37] A. Ebrahimi Milani and M. R. Haghifam, "An evolutionary approach for optimal time interval determination in distribution network reconfiguration under variable load," Mathematical and Computer Modelling, vol. 57, no. 1, pp. 68-77, Jan. 2013.
[38] A. Kavousi-Fard and T. Niknam, "Optimal distribution feeder reconfiguration for reliability improvement considering uncertainty," IEEE on Trans. Power Del., vol. 29, no. 3, pp. 1344-1353, Jun. 2014.
[39] C. H. N. de Resende Barbosa, M. H. Soares Mendes, and J. A. de Vasconcelos, "Robust feeder reconfiguration in radial distribution networks," Electrical Power and Energy Systems, vol. 54, no. 1, pp. 619-630, Jan 2014.
[40] N. Mohandas, R. Balamurugan, and L. Lakshminarasimman, "Optimal location and sizing of real power DG units to improve the voltage stability in the distribution system using ABC algorithm united with chaos," Electrical Power and Energy Systems, vol. 66, no. 1, pp. 41-52, Mar. 2015.
[41] D. Q. Hung, N. Mithulananthan, and K. Y. Lee, "Determining PV penetration for distribution systems with time-varying load models," IEEE Trans. on Power Sys., vol. 29, no. 6, pp. 3048-3057, Nov. 2014.
[42] M. R. Haghifam and O. P. Malik, "Genetic algorithm-based approach for fixed and switchable capacitor placement in distribution systems with uncertainty and time varying loads," IET Gener. Transm. Distrib., vol. 1, no. 2, pp. 244-252, Mar. 2007.
[43] L. Min and P. Zhang, "A probabilistic load flow with consideration of network topology uncertainties," in Proc. of the Int. Conf. on Intelligent System Applications to Power Systems, 5 pp., Nov. 2007.
[44] Y. Del Valle, et al., "Particle swarm optimization: basic concepts, variants and applications in power systems," IEEE Trans. on Evolutionary Computation, vol. 12, no. 2, pp. 171-195, Apr. 2008.
