برنامه ریزی یکپارچه شبکه های برق وگاز با در نظر گرفتن تاثیر واحدهای ptg در پوشش عدم قطعیت خودروهای برقی
محورهای موضوعی : مهندسی برق و کامپیوتر
ایمان گروهی ساردو
1
(دانشگاه جیرفت)
علی مبصری
2
(دانشگاه جیرفت)
کلید واژه: برنامه ریزی یکپارچه شبکه های برق و گازبرنامه ریزی تصادفیخودروهای برقیواحدهای ptg,
چکیده مقاله :
نیروگاههای گازی به دلیل دارابودن نرخ افزایش توان و کاهش توان بالا میتوانند در ساعات پیک بار، در بهرهبرداری سیستم قدرت بسیار مؤثر واقع شوند. با گسترش نفوذ نیروگاههای گازی در سیستم قدرت و همچنین پیدایش فناوریهای جدید مانند واحدهای تبدیل توان به گاز (ptg) برنامهریزی یکپارچه دو شبکه برق و گاز مورد توجه محققین قرار گرفته است. گازهای تولیدشده توسط واحدهای ptg، در مخازنی ذخیره شده و به طور مستقیم به دست مصرفکنندگان میرسند یا در بازارهای گاز فروخته میشوند. در صورت لزوم گازهای ذخیره‌شده نیز دوباره به برق تبدیل میشوند که این روش، جایگزین مناسبی به جای استفاده از باتریها و ذخیرهسازهای انرژی در شبکه برق و در طولانی‌مدت میباشد. در این مقاله یک مدل برنامهریزی خطی ترکیبی عدد صحیح (MILP) برای حل مسئله برنامهریزی تصادفی یکپارچه شبکههای برق و گاز در حضور واحدهای ptg و با در نظر گرفتن عدم قطعیت ظرفیت شارژ و دشارژ در دسترس ایستگاههای g2v ارائه شده است. یک شبکه ترکیبی از شبکه برق اصلاح‌شده استاندارد 24باسه IEEE و شبکه گاز بلژیک، شامل نُه نیروگاه که سه نیروگاه آنها از نوع گازی هستند، سه ایستگاه خودروی برقی، دو چاه گاز، چهار مخزن گاز و سه واحد ptg، به عنوان شبکه نمونه مورد مطالعه قرار گرفته است. نتایج حاصل، کارایی بهرهبرداری یکپارچه شبکههای برق و گاز را نسبت به بهرهبرداری مستقل شبکهها و همچنین تأثیر مثبت ptgها را در پوشش عدم قطعیت شارژ و دشارژ خودروهای برقی نشان میدهد.
Gas-fueled power plants are considerably effective in power system operation during peak hours due to their high up and down ramping rates. By increasing the penetration of gas-fueled power plants in power systems and development of new technologies, such as power-to-gas (ptg) units, coordinated scheduling of both electricity and natural gas (NG) networks has attracted systems researchers’ attention. The NG volume generated by ptg units are stored in storages to directly supply the NG demands, or to sell in NG markets. If necessary, the stored NG volumes are reconverted into electricity which may be a suitable replacement for batteries and storages in electricity network in long term. In this paper, a mixed integer linear programming (MILP) model is proposed for stochastic coordinated scheduling of electricity and NG networks with ptg units, considering uncertainties of charging and discharging available capacities of vehicle to grid (v2g) stations. A test network integrating modified 24-bus IEEE electricity network and Belgium gas network including nine power stations (three of them are gas-fueled), three v2g stations, and three ptg stations is studied to evaluate the effectiveness of the proposed model. Simulation results demonstrate the effectiveness of ptg units in handling the uncertainties of v2g stations charging and discharging. Besides, the effectiveness of coordinated scheduling of both electricity and NG networks in comparison with independent scheduling of both networks is demonstrated.
[1] Y. Xue, et al., "Optimal coordinated operation of electricity and natural gas distribution networks with power-to-gas facilities," in Proc. IEEE Innovative Smart Grid Technologies-Asia, ISGT Asia’18, pp. 294-299, Singapore, Singapore, 22-25 May 2018.
[2] L. L. Wu, et al., "Optimal power and gas dispatch of the integrated electricity and natural gas networks," in Proc. IEEE Innovative Smart Grid Technologies-Asia, ISGT Asia’16, pp. 244-249, Melbourne, Australia, 28 Nov.-1 Dec. 2016.
[3] S. D. Manshadi and M. E. Khodayar, "Resilient operation of multiple energy carrier microgrids," IEEE Trans. on Smart Grid, vol. 6, no. 5, pp. 2283-2292, Sept. 2015.
[4] I. Goroohi Sardou, M. E. Khodayar, and M. T. Ameli, "Coordinated operation of natural gas and electricity networks with microgrid aggregators," IEEE Trans. on Smart Grid, vol. 9, no. 1, pp. 199-210, Jan. 2018.
[5] H. Khani, N. El-Taweel, and H. E. Z. Farag, "Power congestion management in integrated electricity and gas distribution grids," IEEE Systems J., vol. 13, no. 2, pp. 1883-1894, Jun. 2019.
[6] X. Zhang, M. Shahidehpour, A. Alabdulwahab, and A. Abusorrah, "Hourly electricity demand response in the stochastic day-ahead scheduling of coordinated electricity and natural gas networks," IEEE Trans. on Power Systems, vol. 31, no. 1, pp. 592-601, Jan. 2016.
[7] H. Khani and H. E. Z. Farag, "Optimal day-ahead scheduling of power-to-gas energy storage and gas load management in wholesale electricity and gas markets," IEEE Trans. on Sustainable Energy, vol. 9, no. 2, pp. 940-951, Apr. 2018.
[8] Y. Li, et al., "Day-ahead schedule of a multi-energy system with power-to-gas technology," in Proc. IEEE Power & Energy Society General Meeting, 5 pp., Chicago, IL, USA, 16-20 Jul. 2017.
[9] Y. Yang, G. Wang, S. Hu, and Z. Fu, "Coordinated optimization of PTG and NGFP considering regulation in a market environment," in Proc. IEEE Innovative Smart Grid Technologies, ISGT ASIA’18, pp. 271-275, Singapore, Singapore, 22-25 May 2018.
[10] A. Zlotnik, L. Roald, S. Backhaus, M. Chertkov, and G. Andersson, "Coordinated scheduling for interdependent electric power and natural gas infrastructures," IEEE Trans. on Power Systems, vol. 32, no. 1, pp. 600-610, Jan. 2017.
[11] V. Heinisch and L. A. Tuan, "Effects of power-to-gas on power systems: a case study of Denmark," in Proc. IEEE Eindhoven PowerTech, 6 pp, Eindhoven, The Netherlands, 29 Jun. -2 Jul. 2015.
[12] C. Jie, Z. Yueya, and S. Wencong, "An anonymous authentication scheme for plugin electric vehicles joining to charging/discharging station in vehicle-to-grid (v2g) networks," Smart Grid Communications, vol. 12, no. 3, pp. 9-19, Mar. 2015.
[13] Z. Chen and Z. Hu, "Optimal coordination of charging and discharging control of large-scale plug-in electric vehicles," in Proc. IEEE Conf. and Expo Transportation Electrification Asia-Pacific, ITEC Asia-Pacific, 6 pp., Beijing, China, 31 Aug.-3 Sept. 2014.
[14] K. G. Firouzjah and P. Hosseinzadeh, "Economic charging of plug-in electric vehicles at the charging station and its evaluation in distribution network considering possible scenarios," Computational Intelligence in Electrical Engineering, vol. 9, no. 1, pp. 29-48, Feb. 2018.
[15] X. Bai and W. Qiao, "Robust optimization for bidirectional dispatch coordination of large-scale v2g," IEEE Trans. on Smart Grid, vol. 6, no. 4, pp. 1944-1954, Jul. 2015.
[16] M. Norouzi, J. Aghaei, S. Pirouzi, et al., "Flexible operation of grid-connected microgrid using ES," IET Generation, Transmission & Distribution, vol. 14, no. 2, pp. 254-264, Jan. 2020.
[17] J. Hu and H. Li, "A new clustering approach for scenario reduction in multi-stochastic variable programming," IEEE Trans. on Power Systems, vol. 34, no. 5, pp. 3813-3825, Sept. 2019.
[18] N. Amjady, J. Aghaei, and H. A. Shayanfar, "Stochastic multiobjective market clearing of joint energy and reserves auctions ensuring power system security," IEEE Trans. on Power Systems, vol. 24, no. 4, pp. 1841-1854, Nov. 2009.
[19] J. Qiu, et al., "A linear programming approach to expansion co-planning in gas and electricity markets," IEEE Trans. on Power Systems, vol. 31, no. 5, pp. 3594-3606, Sept. 2016.
[20] P. M. Subcommittee, "IEEE reliability test system," IEEE Trans. on Power Apparatus and Systems, vol. PAS-98, no. 6, pp. 2047-2054, Nov. 1979.
[21] [Online], Independent Operator of the Natural Gas Transmission System in Belgium, Available: http://www.fluxys.com, [Accessed 15 Feb 2020].
[22] [Online], Available: http://ercot.com/mktinfo/prices. [Accessed 15 Feb 2020].