بهرهبرداری بهینه ریزشبکه AC در حضور خودروهای برقی تحت مدیریت طرف تقاضا
محورهای موضوعی : مهندسی برق و کامپیوترعلی مهدیزاده 1 , نوید تقیزادگان کلانتری 2 , جواد صالحی 3
1 - دانشگاه شهید مدنی آذربایجان
2 - دانشگاه شهید مدنی آذربایجان
3 - دانشگاه شهید مدنی آذربایجان
کلید واژه: بهرهبرداری بهینه ریزشبکه ACخودروهای برقیمدیریت طرف تقاضامنابع انرژیهای تجدیدپذیر,
چکیده مقاله :
در سالهای اخیر، نفوذ منابع انرژیهای تجدیدپذیر و خودروهای برقی در ریزشبکه AC افزایش یافته است. همچنین مدیریت طرف تقاضا میتواند برای مدیریت بار پیک استفاده شود تا عملکرد بهینه ریزشبکه AC را بهبود دهد. بنابراین، این مقاله بهرهبرداری بهینه ریزشبکه AC در حضور خودروهای برقی تحت مدیریت طرف تقاضا را به طور همزمان پیشنهاد داده است. مدل ارائهشده چگونگی عملکرد کوتاهمدت ریزشبکه را شامل نحوه و میزان تبادل با شبکه بالادست، تولید واحدهایDG شامل توربینهای بادی، باتری ذخیرهساز، دیزل ژنراتورها، شارژ و دشارژ هوشمند خودروهای برقی و نحوه مشارکت مصرفکنندگان بزرگ صنعتی و تجمیعکنندههای مصرفکنندگان کوچک در برنامههای مدیریت طرف تقاضا را به صورتی که هزینه بهرهبرداری ریزشبکه کمینه شود تعیین میکند. فرمولاسیون ارائهشده مدل ریاضی منابع مختلف انرژی را در ریزشبکه مدل کرده و قیود پخش بار AC و محدودیت ولتاژ شینها و جریان فیدرها را در ریزشبکه در نظر گرفته است. ریزشبکه 33 شین AC به عنوان تست سیستم استفاده میشود تا اثرات خودروهای برقی و مدیریت طرف تقاضا را روی بهرهبرداری بهینه ریزشبکه AC بررسی کند. مدل پیشنهادی به شکل برنامهریزی غیر خطی آمیخته با اعداد صحیح مدلسازی شده و با استفاده از حلکننده SBB تحت نرمافزار بهینهسازی GAMS حل شده است.
In the recent years, integrations of renewable energy sources as well as plug-in electric vehicles are increased in the AC microgrid. Also, demand side management can be used to manage peak load in order to improve optimal performance of AC microgrid. Therefore, this paper proposes optimal operation of AC microgrid in the presence of plug-in electric vehicles under demand side management. The proposed model describes optimal operation of microgrid including the exchange power with the upstream grid, the production of DG units including wind turbines, battery storage, diesel generators, charging and discharging of electric vehicles and the manner of participation of large industrial consumers and aggregators of small consumers in demand side management that minimize the operation cost of microgrid. The proposed formulation is considered the mathematical model of various energy sources in a microgrid and the AC load flow constraints and the bus voltage and feeder current limitations has been considered.In the proposed model, charge and discharge management of plug-in electric vehicles and demand side management are simultaneously proposed to reduce operation cost of AC microgrid subject to technical and economic constraints. A 33-bus microgrid is used as test system in order to investigate effects of plug-in electric vehicles and demand side management on optimal operation of AC microgrid. The proposed model is formulated via mixed-integer non-linear programming which is solved using CPLEX solver under GAMS optimization software.
[1] A. Y. Saber and G. K. Venayagamoorthy, "Plug-in vehicles and renewable energy sources for cost and emission reductions," IEEE Trans. on Industrial Electronics, vol. 58, no. 4, pp. 1229-1238, Apr. 2011.
[2] N. Zhang, Z. Hu, D. Dai, S. Dang, M. Yao, and Y. Zhou, "Unit commitment model in smart grid environment considering carbon emissions trading," IEEE Trans. on Smart Grid, vol. 7, no. 1, pp. 420-427, Jan. 2016.
[3] A. Mehdizadeh and N. Taghizadegan Kalantari, "A stochastic programing of islanding microgrid in the presence of the hydrogen storage system and demand response program," Tabriz J. of Electrical Engineering, vol. 47, no. 2, pp. 711-725, Jun. 2017.
[4] S. Nojavan, K. Zare, and B. Mohammadi-Ivatloo, "Selling price determination by electricity retailer in the smart grid under demand side management in the presence of the electrolyser and fuel cell as hydrogen storage system," International J. of Hydrogen Energy, vol. 42, no. 5, pp. 3294-3308, Feb. 2017.
[5] S. Kaabe Pahne Kolaei and M. Rahimiyan, "Robust optimization-based energy management of virtual power plant by monitoring microgrid contingencies: single-line outage case study," Tabriz J. of Electrical Engineering, vol. 47, no. 1, pp. 249-261, Mar. 2017.
[6] S. Nojavan, K. Zare, and B. Mohammadi-Ivatloo, "Application of fuel cell and electrolyzer as hydrogen energy storage system in energy management of electricity energy retailer in the presence of the renewable energy sources and plug-in electric vehicles," Energy Conversion and Management, vol. 136, no. 15, pp. 404-417, Mar. 2017.
[7] J. Aghaei, S. E. Bagheri, S. Shafiee, T. Niknam, and S. M. Bagheri, "Assessment of smart distribution system response to operating characteristics of plug-in hybrid electric vehicles," Tabriz J. of Electrical Engineering, vol. 47, no. 1, pp. 11-20, Mar. 2017.
[8] S. Nojavan, K. Zare, and B. Mohammadi-Ivatloo, "Optimal stochastic energy management of retailer based on selling price determination under smart grid environment in the presence of demand response program," Applied Energy, vol. 187, pp. 449-464, 1 Feb. 2017.
[9] H. A. Aalami and S. Nojavan, "Energy storage system and demand response program effects on stochastic energy procurement of large consumers considering renewable generation," IET Generation, Transmission & Distribution, vol. 10, no. 1, pp. 107-114, Jan. 2016.
[10] W. Bai, M. R. Abedi, and K. Y. Lee, "Distributed generation system control strategies with PV and fuel cell in microgrid operation," Control Engineering Practice, vol. 53, pp. 184-193, Aug. 2016.
[11] H. Haddadian and R. Noroozian, "Optimal operation of active distribution systems based on microgrid structure," Renewable Energy, vol. 104, pp. 197-210, Apr. 2017.
[12] M. H. Moradi, M. Abedini, and S. M. Hosseinian, "Optimal operation of autonomous microgrid using HS-GA," International J. of Electrical Power & Energy Systems, vol. 77, pp. 210-220, May 2016.
[13] V. B. Foroutan, M. H. Moradi, and M. Abedini, "Optimal operation of autonomous microgrid including wind turbines," Renewable Energy vol. 99 pp. 315-324, Dec. 2016.
[14] A. K. Mateska, V. Borozan, P. Krstevski, and R. Taleski, "Controllable load operation in microgrids using control scheme based on gossip algorithm," Applied Energy, vol. 210, pp. 1336-1346, 15 Jun. 2018.
[15] S. A. Konstantinopoulos, A. G. Anastasiadis, G. A. Vokas, G. P. Kondylis, and A. Polyzakis, "Optimal management of hydrogen storage in stochastic smart microgrid operation," International J. of Hydrogen Energy, vol. 43, no. 1, pp. . 490-499, 1 Jan. 2018.
[16] M. E. Khodayar, S. D. Manshadi, and A. Vafamehr, "The short-term operation of microgrids in a transactive energy architecture," The Electricity J., vol. 29, no. 10, pp. 41-48, Dec. 2016.
[17] A. Zakariazadeh and S. Jadid, "Integrated scheduling of electric vehicles and demand response programs in a smart microgrid," Iranian J. of Electrical and Electronic Engineering, vol. 10, no. 2, pp. 114-123, Dec. 2014.
[18] A. Mehdizadeh and N. Taghizadegan, "Robust optimisation approach for bidding strategy of renewable generation-based microgrid under demand side management," IET Renewable Power Generation, vol. 11, no. 11, pp. 1446-1455, Jun. 2017.
[19] A. Mehdizadeh, N. Taghizadegan, and J. Salehi, "Risk-based energy management of renewable-based microgrid using information gap decision theory in the presence of peak load management," Applied Energy, vol. 211, pp. 617-630, 1 Feb. 2018.
[20] K. P. Detroja, "Optimal autonomous microgrid operation: a holistic view," Applied Energy, vol. 173, pp. 320-330, 1 Jul. 2016.
[21] F. Mumtaz and I. S. Bayram, "Planning, operation, and protection of microgrids: an overview," Energy Procedia, vol. 107, pp. 94-100, Feb. 2017.
[22] S. Nojavan, M. Jalali, and K. Zare, "Optimal allocation of capacitors in radial/mesh distribution systems using mixed integer nonlinear programming approach," Electric Power Systems Research, vol. 107, pp. 119-124, Feb.2014.
[23] A. Zakariazadeh, S. Jadid, and P. Siano, "Stochastic multi-objective operational planning of smart distribution systems considering demand response programs," Electric Power Systems Research, vol. 111, pp. 156-168, Jun. 2014.
[24] S. Nojavan and H. A. Aalami, "Stochastic energy procurement of large electricity consumer considering photovoltaic, wind-turbine, micro-turbines, energy storage system in the presence of demand response program," Energy Conversion and Management, vol. 103, pp. 1008-1018, Oct. 2015.
[25] S. X. Chen, H. B. Gooi, and M. Q. Wang, "Sizing of energy storage for microgrids," IEEE Trans. on Smart Grid, vol. 3, no. 1, pp. 142-151, Mar. 2012.
[26] A. Soroudi and A. Keane, "Risk averse energy hub management considering plug-in electric vehicles using information gap decision theory," In Plug In Electric Vehicles in Smart Grids, pp. 107-127, Springer Singapore, 2015.
[27] S. Wong, K. Bhattacharya, and J. D. Fuller, "Electric power distribution system design and planning in a deregulated environment," IET Generation, Transmission & Distribution, vol. 3, no. 12, pp. 1061-1078, Dec. 2009.
[28] Y. M. Atwa, et al., "Optimal renewable resources mix for distribution system energy loss minimization," IEEE Trans. on Power Systems, vol. 25, no. 1, pp. 360-370, Feb. 2010.
[29] Willy Online Pty Ltd, online available at: http://wind.willyweather.com.au/
[30] Diesel Generators Specification Sheets, Kohler Power Systems Company, online available at: http://www.yestramski.com/industrial/generatorsdiesel/industrial-diesel-generators-all.htm
[31] (2013 Jul. 18). New York Independent System Operator, online available at: http://www.nyiso.com/public/markets_operations/index.jsp
[32] E. R. Ramos, et al., "Path-based distribution network modeling: application to reconfiguration for loss reduction," IEEE Trans. on Power Systems, vol. 20, no. 2, pp. 556-564, May 2005.