پیوندهای مفید
اخبار و اعلانات
آمار
| تعداد نشریات | 31 |
| تعداد شمارهها | 834 |
| تعداد مقالات | 8,015 |
| تعداد مشاهده مقاله | 14,854,474 |
| تعداد دریافت فایل اصل مقاله | 9,587,524 |
Security-Constrained Unit Commitment in the Presence of Demand Response Programs and Electric Vehicles | ||
| International Journal of Industrial Electronics Control and Optimization | ||
| مقاله 38، دوره 3، شماره 3، مهر 2020، صفحه 313-326 اصل مقاله (1.39 M) | ||
| نوع مقاله: Research Articles | ||
| شناسه دیجیتال (DOI): 10.22111/ieco.2020.30827.1193 | ||
| نویسندگان | ||
| Mohsen Ramzanzadeh1؛ Meysam Jafari Nokandi* 2؛ Taghi Barforoushi3؛ Javad Saebi4 | ||
| 1Department of Electrical and Computer Engineering, Noshirvani University of Technology ‎, Babol, Iran. | ||
| 2Department of Electrical and Computer Engineering, Noshirvani University of Technology ‎, Babol, Iran | ||
| 3Babol Noshirvani University of Technology | ||
| 4Department of Electrical Engineering, University of Bojnord , Bojnord, Iran. | ||
| چکیده | ||
| In recent years, concerns about environmental pollutions have risen and in this respect, the power system and transportation section have been introduced as the main sources of their emission. Therefore, renewable energy sources (RESs), predominantly wind generation, can be effective for reducing emissions caused by the power system, and electric vehicles (EVs) can be very useful for decreasing emissions in the transportation section. However, RESs are intermittent and uncertain, and on the other hand, high penetration of EVs into the system can be challenging for power system operation. Consequently, the stochastic behavior of RESs and charging demand of EVs should be considered in the daily operation scheduling of generating units that is known as the unit commitment (UC) problem. In this regard, this paper presents a two-stage stochastic programming model for the security-constrained unit commitment (SCUC) taking into account the effect of EVs penetration and wind power integration into the power system. The effect of EV travels on the demand of busses is modeled in the proposed framework. Moreover, the impact of demand response (DR) programs on the operation cost of the system is considered. The results of simulations in a six-bus test system illustrate that high EVs penetration reduces power system security and increases the system operation cost, but DR programs can compensate for these negative effects. Moreover, the increase in cost in a controlled charging mode can be insignificant. | ||
| کلیدواژهها | ||
| Demand Response Program؛ Electric Vehicle؛ Security-Constrained Unit Commitment؛ Stochastic Programming؛ Uncertainty | ||
| مراجع | ||
|
[1] R. Lotfi, A. Mostafaeipour, N. Mardani, and S. Mardani, “Investigation of wind farm location planning by considering budget constraints,” Int. J. Sustain. Energy, vol. 37, no. 8, pp. 799–817, Feb. 2018. [2] M. Duvall et al., “Transportation Electrification: A Technology Overview,” Electric Power Research Institute June. 2011. [3] A. I. Negash, T. W. Haring, and D. S. Kirschen, “Allocating the cost of demand response compensation in wholesale energy markets,” IEEE Trans. Power Syst., vol. 30, no. 3, pp. 1528–1535, May. 2015. [4] J. Aghaei, and M. I. Alizadeh, “Demand Response in Smart Electricity Grids Equipped with Renewable Energy Sources: A Review,” Renew. Sustain. Energy Reviews, vol. 18, pp. 64-72, Feb. 2013. [5] M. Alhaider, L. Fan, and Z. Miao, “Benders Decomposition for stochastic programming-based PV/Battery/HVAC planning,” IEEE Power Energy Soc. Gen. Meet., vol. 2016- Novem, 2016. [6] M. Honarmand, A. Zakariazadeh and S. Jadid, “Integrated scheduling of renewable generation and electric vehicles parking lot in a smart microgrid,” Energy Conversion and Management, vol. 86, pp. 745-755, Oct. 2014. [7] C. Shaoand, X. Wang, X. Wang, C. Du, C. Dang and S. Liu “Cooperative Dispatch of Wind Generation and Electric Vehicles With Battery Storage Capacity Constraints in SCUC,” IEEE Transaction on Smart Grid, vol. 5, no. 5, pp. 2219-2226, Sep. 2014. [8] Q. Cai, Z. Xu, F. Wen, L. L. Lai and K. P. Wong. “Security Constrained Unit Commitment-based Power System Dispatching with Plug-in Hybrid Electric Vehicles,” IEEE 13th International Conference on Industrial Informatics (INDIN), pp. 1014-1021, Jul. 2015. [9] C. Shao, X. Wang, M. Shahidehpour, X. Wang, B. Wang. “Security-Constrained Unit Commitment with Flexible Uncertainty Set for Variable Wind Power,” IEEE Transactions on Sustainable Energy, vol. 8, no. 3, pp. 1-9, Feb. 2017. [10] J. Zhao, C. Wan, Z. Xu, K. P. Wong. “Spinning Reserve Requirement Optimization Considering Integration of Plug-in Electric Vehicles,” IEEE Transaction on Smart Grid, vol. 8, no. 4, pp. 2009-2021, June. 2016. [11] H. Wu, M. Shahidehpour, A. Alabdulwahab and A. Abusorrah. “Demand Response Exchange in the Stochastic Day-Ahead Scheduling With Variable Renewable Generation,” IEEE Transactions on Sustainable Energy, vol. 6, no. 2, pp. 1-10, Apr. 2015. [12] C. Liu, J. Wang, A. Botterud, Y. Zhou and A. Vyas. “Assessment of Impacts of PHEV Charging Patternson Wind-Thermal Scheduling by Stochastic Unit Commitment,” IEEE Transaction on Smart Grid, vol. 3, no. 2, pp. 675-683, Jun. 2012. [13] M. E. Khodayar, L. Wu and M. Shahidehpour. “Hourly Coordination of Electric Vehicle Operation and Volatile Wind Power Generation in SCUC,” IEEE Transactions on Smart Grid, vol. 3, no. 3, pp. 1271-1279, Sep. 2012. [14] N. Neyestani, M. Y. Damavandi and G. Chicoo, “Effects of PEV Traffic Flows on the Operation of Parking Lots and Charging Stations,” IEEE Transactions on Smart Grid, vol. 9, no. 2 , pp. 1521-1530, July. 2017. [15] D. Madzharov, E. Delarue, W. Dhaeseleer, “Integrating electric vehicles as flexible load in unit commitment modeling,” Energy, vol. 65, pp. 285-294, June. 2013. [16] C. Sahin, M. Shahidehpour and I. Erkmen, “Allocation of Hourly Reserve versus Demand Response for Security- Constrained Scheduling of Stochastic Wind Energy,” IEEE Transactions on Sustainable Energy, vol. 4, pp. 219- 228, Jan. 2013. [17] M. Ramezanzade, M. Jafari-Nokandi, T. Barforoshi, “Scheduling of generation and reserve of thermal generation resources considering load and wind uncertainty in presence of energy storage and demand response,” TABRIZ Journal of Electrical Engineering, vol. 48, vol. 2, no. 84, pp. 653-665, 2018. [18] G. Morales-España, Á. Lorca, and M. M. de Weerdt, “Robust unit commitment with dispatchable wind power,” Electr. Power Syst. Res., vol. 155, no. February, pp. 58–66, Feb. 2018. [19] Z. Yang, K. Li, Q. Niu, and Y. Xue, “A comprehensive study of economic unit commitment of power systems integrating various renewable generations and plug-in electric vehicles,” Energy Convers. Manag., vol. 132, pp. 460–481, Jun. 2017. [20] M. Shahbazitabar and H. Abdi, “A novel priority-based stochastic unit commitment considering renewable energy sources and parking lot cooperation,” Energy, vol. 161, pp. 308–324, Oct. 2018. [21] M. A. Mirzaei, A. S. Yazdankhah, and B. Mohammadi- Ivatloo, “Integration of Demand Response and Hydrogen Storage System in Security Constrained Unit Commitment with High Penetration of Wind Energy,” 26th Iran. Conf. Electr. Eng. ICEE 2018, pp. 1203–1208, 2018. [22] M. Hosseini Imani, M. Jabbari Ghadi, S. Shamshirband, and M. Balas, “Impact Evaluation of Electric Vehicle Parking on Solving Security-Constrained Unit Commitment Problem,” Math. Comput. Appl., vol. 23, no. 1, p. 13, March. 2018. [23] M. A. Mirzaei, A. Sadeghi Yazdankhah, and B. Mohammadi-Ivatloo, “Stochastic security-constrained operation of wind and hydrogen energy storage systems integrated with price-based demand response,” Int. J. Hydrogen Energy, vol. 44, no. 27, pp. 14217–14227, May. 2019. [24] M. H. Imani, K. Yousefpour, M. J. Ghadi, and M. T. Andani, “Simultaneous presence of wind farm and V2G in security constrained unit commitment problem considering uncertainty of wind generation,” 2018 IEEE Texas Power Energy Conf. TPEC 2018, vol. 2018–Febru, pp. 1–6, Feb. 2018. [25] Y. Sun, J. Dong, and L. Ding, “Optimal day-ahead wind- thermal unit commitment considering statistical and predicted features of wind speeds,” Energy Convers. Manag., vol. 142, pp. 347–356, Jun. 2017. [26] K. H. Jo and M. K. Kim, “Stochastic unit commitment based on multi-scenario tree method considering uncertainty,” Energies, vol. 11, no. 4, March. 2018. [27] https://www.iea.org/reports/global-ev-outlook-2019 [28] K. W. Hedman, M. C . Ferris, R. P. O'Neill, E. B. Fisher and S. S. Oren, "Co-optimization of Generation Unit Commitment and Transmission Switching with N- 1 Reliability," IEEE Transactions on Power Systems, vol. 25, pp. 1052-1063, June. 2010. [29] M. A. Ortega-Vazquez and D. S. Kirschen, “Estimating the Spinning Reserve Requirements in Systems with Significant Wind Power Generation Penetration,” IEEE Transaction on Power Systems, vol. 22, no. 1, pp. 24-33, March. 2009. [30] A. J. Conejo, M. Carrión and J. M. Morales, Decision Making under Uncertainty in Electricity Markets, Springer, New York, 2010. [31] S . M. Hossein. Imani, S. Asghari, and M. T. Ameli. “Considering the Load Uncertainty for Solving Security Constrained Unit Commitment Problem in Presence of Plug-in Electric Vehicle,” The 22nd Iranian Conference on Electrical Engineering (ICEE), pp. 725-732, May 2014. | ||
|
آمار تعداد مشاهده مقاله: 818 تعداد دریافت فایل اصل مقاله: 581 |
||