Optimal Sharing of Renewable Energy Sources in Distribution Networks Considering the Uncertainties

Authors

Faculty of Electrical and Computer Engineering, University of Zanjan, Zanjan, Iran

Abstract

This paper proposes a framework to demonstrate the impact of renewable energy sources' (RESs) uncertainties on the optimal sharing of energy and optimal allocation of different types of RESs in the distribution system to minimize energy losses. Because of the huge annual lossesin distribution networks, loss reduction in these networks will be desired from the distribution system operator's perspective. Loss reduction can have significant savings in energy consumption and justify investments to improve network efficiency. One of these investments is optimal location and sizing of distributed generations (DGs) such as clean and renewable generation sources in the network. Uncertainty in RES- based DGs power generatiom and energy demand, makes the planning and operation of distribution networks a challanging problem. As a result, it is assumed that RESs can share a small percentage of their nominal capacity.The proposed method, guarantees the optimal energy sharing and placement of RESs for all possible operating conditions.The inherent uncertainties of RESs are modeled via scenario base method. Penetration limit and number of DGs determined by sensitivity analysis. The proposed model is implemented on the IEEE standard 33-bus radial test systems, and solved by General Algebraic Modeling System (GAMS) optimization software. The simulation results show that appropriate dispatch of energy on the existing resources and minimization of energy loss could be obtained with respect to optimal energy sharing and placement of RES. Analysis results of probabilistic and deterministic cases, substanciate the lossreduction about 35%.

Keywords


[1] P. S. Georgilakis and N. D. Hatziargyriou, “Optimal distributed generation placement in power distribution networks: models, methods, and future research,” IEEE Transactions on Power Systems, vol. 28, no. 3, pp. 3420-3428, August 2013.
[2] R. Al Abri, E. F. El-Saadany and Y. M. Atwa, “Optimal placement and sizing method to improve the voltage stability margin in a distribution system using distributed generation,” IEEE Transactions on Power Systems, vol. 28, no. 1, pp. 326-334, February 2013.
[3] X. Zhang, G. G. Karady and S. T. Ariaratnam, “Optimal allocation of CHP-based distributed generation on urban energy distribution networks,” Sustainable Energy, IEEE Transactions on Power Systems, vol. 5, no. 1, pp. 246-253, January 2014.
[4] Y. M. Atwa and E. F. El-Saadany, “Probabilistic approach for optimal allocation of wind-based distributed generation in distribution systems,” IET Renewable Power Generation, vol. 5, no. 1, pp. 79-88, January 2011.
[5] F. S. Abu-Mouti and M. El-Hawary, “Optimal distributed generation allocation and sizing in distribution systems via artificial bee colony algorithm,” IEEE Transactions on Power Delivery, vol. 26, pp. 2090-2101, 2011.
[6] M. Othman, W. El-Khattam, Y. G. Hegazy and A. Y. Abdelaziz, “Optimal placement and sizing of distributed generators in unbalanced distribution systems using supervised Big Bang-Big Crunch method,” IEEE Transactions on Power Systems, vol. 30, no. 2, pp. 911-919, March 2015.
[7] M. Esmaili, “Placement of minimum distributed generation units observing power losses and voltage stability with network constraints,” IET  Generation, Transmission & Distribution, vol. 7, no. 8, pp. 813-821, August 2013.
[8] P. Juanuwattanakul and M. A. Masoum, “Increasing distributed generation penetration in multiphase distribution networks considering grid losses, maximum loading factor and bus voltage limits,” IET Generation, Transmission & Distribution, vol. 6, no. 12, pp. 1262-1271, December 2012.
[9] 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, no. 4, pp. 2068-2076, November 2004.
[10] Y. Atwa, E. El-Saadany, M. Salama and R. Seethapathy, “Optimal renewable resources mix for distribution system energy loss minimization,” IEEE Transactions on Power Systems, vol. 25, no. 1, pp. 360-370, February 2010.
[11] A. Soroudi, B. Mohammadi-Ivatloo and A. Rabiee, “Energy hub management with intermittent wind power,” in Large Scale Renewable Power Generation, ed: Springer,  pp. 413-438,  January 2014.
[12] P. Chen, P. Siano, Z. Chen and B. Bak-Jensen, “Optimal allocation of power-electronic interfaced wind turbines using a genetic algorithm–Monte Carlo hybrid optimization method,” in Wind Power Systems, ed: Springer, pp. 1-23, January 2010.
[13] V. A. Evangelopoulos and P. S. Georgilakis, “Optimal distributed generation placement under uncertainties based on point estimate method embedded genetic algorithm,” IET Generation Transmission & Distribution, vol. 8, no. 3, pp. 389-400, March 2014.
[14] A. Rabiee, A. Soroudi, B. Mohammadi-Ivatloo and M. Parniani, “Corrective voltage control scheme considering demand response and stochastic wind power,” IEEE Transactions on Power Systems, vol. 29, no. 6, pp. 2965-2973, November 2014.
[15] A. Rabiee and A. Soroudi, “Stochastic multiperiod OPF model of power systems with HVDC-connected intermittent wind power generation,” Power Delivery, IEEE Transactions on, vol. 29, no. 1, pp. 336-344, February 2014.
[16] عباس ربیعی، احسان هوشمند و سامان نیک خواه, استفاده از تئوری تصمیم گیری مبتنی بر شکاف اطلاعاتی برای حل مسئله پخش بهینه توان مقید به پایداری ولتاژ در حضور نیروگاه‌های بادی، مجله مهندسی برق دانشگاه تبریز، 1395، شماره 4 جلد(46). ص-ص109-122
[17] M. Marzband, A. Sumper, A. Ruiz-Álvarez, J. L. Domínguez-García, and B. Tomoiagă, “Experimental evaluation of a real time energy management system for stand-alone microgrids in day-ahead markets,” Applied Energy, vol. 106, pp. 365-376, January 2013.
[18] امیرحسین زارع نیستانک، رحمت الله هوشمند و معین پرستگاری، بهره‌برداری بهینه از نیروگاه‌های بادی با استفاده از نیروگاه‌های تلمبه‌ای- ذخیره‌ای به‌منظور کاهش عدم قطعیت در عملکرد آنان در بازار برق، مجلـه مهندسـی بـرق دانشـگاه تبریـز، ۱۳۹۱، شماره ۲جلد (۴۱). ص-ص ۵۲-۵۹.
[19] T.-H. Yeh and L. Wang, "A study on generator capacity for wind turbines under various tower heights and rated wind speeds using Weibull distribution,” IEEE Transactions on Energy Conversion, vol. 23, no. 2, pp. 592-602, January 2008.
[20] S. Wen, H. Lan, Q. Fu, C. Y. David and L. Zhang, “Economic allocation for energy storage system considering wind power distribution,” IEEE Transactions on Power Systems, vol. 30, no. 2, pp. 644-652, March 2015.
[21] V. S. Tabar, M. A. Jirdehi and R. Hemmati, "Energy management in microgrid based on the multi objective stochastic programming incorporating portable renewable energy resource as demand response option,” Energy, November 2016.
[22] T. Amraee, A. Soroudi and A. Ranjbar, “Probabilistic determination of pilot points for zonal voltage control,” IET generation transmission & distribution, vol. 6, no. 1, pp. 1-10, January 2012.
[23] [Online]. Available: http://www.powerauthority.on.ca/power-planning
[24] A. Soroudi, P. Siano and A. Keane, “Optimal DR and ESS scheduling for distribution losses payments minimization under electricity price uncertainty,” IEEE Transactions on Smart Grid, vol. 7, no. 1, pp. 261-272, January 2016.
[25] M. Kashem, V. Ganapathy, G. Jasmon and M. Buhari, “A novel method for loss minimization in distribution networks,” in Electric Utility Deregulation and Restructuring and Power Technologies, 2000. Proceedings. DRPT 2000. International Conference on, 2000, pp. 251-256.