آمار

تعداد نشریات27
تعداد شماره‌ها366
تعداد مقالات3,246
تعداد مشاهده مقاله4,764,626
تعداد دریافت فایل اصل مقاله3,250,011
Lotfi, S., Sedighizadeh, M., Abbasi, R., Hosseinian, S.H.. (1403). Robust Optimal Coordinated Charging Bidding of Ancillary Services for the Vehicle to Grid in Regulation and Spinning Reserve Markets. سامانه مدیریت نشریات علمی, 12(4), 326-336. doi: 10.22098/joape.2023.11840.1884
S. Lotfi; M. Sedighizadeh; R. Abbasi; S.H. Hosseinian. "Robust Optimal Coordinated Charging Bidding of Ancillary Services for the Vehicle to Grid in Regulation and Spinning Reserve Markets". سامانه مدیریت نشریات علمی, 12, 4, 1403, 326-336. doi: 10.22098/joape.2023.11840.1884
Lotfi, S., Sedighizadeh, M., Abbasi, R., Hosseinian, S.H.. (1403). 'Robust Optimal Coordinated Charging Bidding of Ancillary Services for the Vehicle to Grid in Regulation and Spinning Reserve Markets', سامانه مدیریت نشریات علمی, 12(4), pp. 326-336. doi: 10.22098/joape.2023.11840.1884
Lotfi, S., Sedighizadeh, M., Abbasi, R., Hosseinian, S.H.. Robust Optimal Coordinated Charging Bidding of Ancillary Services for the Vehicle to Grid in Regulation and Spinning Reserve Markets. سامانه مدیریت نشریات علمی, 1403; 12(4): 326-336. doi: 10.22098/joape.2023.11840.1884

Robust Optimal Coordinated Charging Bidding of Ancillary Services for the Vehicle to Grid in Regulation and Spinning Reserve Markets

Journal of Operation and Automation in Power Engineering
مقاله 5، دوره 12، شماره 4، اسفند 2024، صفحه 326-336    اصل مقاله (678.91 K)
نوع مقاله: Research paper
شناسه دیجیتال (DOI): 10.22098/joape.2023.11840.1884
نویسندگان
S. Lotfi1؛ M. Sedighizadeh* 2؛ R. Abbasi1؛ S.H. Hosseinian3
1Department of Electrical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
2Faculty of Electrical Engineering, Shahid Beheshti University, Evin, Tehran, Iran
3Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran
چکیده
Vehicle to grid (V2G) is one the most important ways to effectively integrate electric vehicles (EVs) with electric power systems. The important benefits can be made by V2G such as reducing/increasing the cost/revenue of EV owners and technically sup-porting electric power systems. Concerning technical and regulatory constraints, EV owners must participate in electricity mar-kets via aggregators. This paper proposes a robust optimal coordinated charging (OCC) model including bidding ancillary ser-vices for regulation and spinning reserve markets. The presented work handles the uncertain behavior of the electricity market that are ancillary service prices and their deployment signals by the robust optimization approach. The aim of optimization is the maximization of the aggregator’s profits from V2G by joining the ancillary services markets. The recommended robust OCC model which is a robust linear problem (RLP) model is simulated by the CPLEX solver in GAMS software. An assumed set of 10000 EVs in the electric reliability council of Texas (ERCOT) electricity markets is considered for doing simulations.  Employ-ing the presented model in this test system shows the efficacy of the proposed model in comparison to other deterministic and stochastic models. 
کلیدواژه‌ها
Electric vehicles (EVs)؛ electricity market؛ optimal coordinated charging (OCC)؛ regulation service؛ robust optimization؛ vehicle to grid (V2G)
مراجع
  1. Wei, Y. Zhang, Y. Wang, W. Hua, R. Jing, and Y. Zhou, "Planning integrated energy systems coupling V2G as a flexible storage," Energy, vol. 239, p. 122215, 2022.
  2. Salmani, A. Rezazade, and M. Sedighizadeh, "Stochastic peer to peer energy trading among charging station of electric vehicles based on blockchain mechanism," IET Smart Cities, vol. 4, no. 2, pp. 110–126, 2022.
  3. Sedighizadeh, S. S. Fazlhashemi, H. Javadi, and M. Taghvaei, “Multi-objective day-ahead energy management of a microgrid considering responsive loads and uncertainty of the electric vehicles,” J. Cleaner Prod, vol. 267, p. 121562, 2020.
  4. Tepe, J. Figgener, S. Englberger, D. U. Sauer, A. Jossen, and H. Hesse, “Optimal pool composition of commercial electric vehicles in V2G fleet operation of various electricity markets,” Appl. Energy, vol. 308, p. 118351, 2022.
  5. Sevdari, L. Calearo, P. B. Andersen, and M. Marinelli, “Ancillary services and electric vehicles: An overview from charging clusters and chargers technology perspectives,” Renewable Sustainable Energy Rev., vol. 167, p. 112666, 2022.
  6. Rancilio, A. Rossi, D. Falabretti, A. Galliani, and M. Merlo, “Ancillary services markets in europe: Evolution and regulatory trade-offs,” Renewable Sustainable Energy Rev., vol. 154, p. 111850, 2022.
  7. Chupradit, G. Widjaja, S. J. Mahendra, M. A. Ali, M. A. Tashtoush, A. Surendar, M. M. Kadhim, A. Y. Oudah, I. Fardeeva, F. Firman, "Modeling and optimizing the charge of electric vehicles with genetic algorithm in the presence of renewable energy sources," J. Oper. Autom. Power Eng., vol. 11, no. 1, pp. 33–38, 2023.
  8. Makhdoomi and J. Moshtagh, "Optimal scheduling of electrical storage system and flexible loads to participate in energy and flexible ramping product markets," J. Oper. Autom. Power Eng., vol. 11, no. 3, pp. 203–212, 2023.
  9. Kiani, K. Sheshyekani, and H. Dagdougui, “An extended state space model for aggregation of largescale EVs considering fast charging,” IEEE Trans. Transp. Electrif., 2022.
  10. Gao, H. Li, J. Jurasz, and R. Dai, “Optimal charging of electric vehicle aggregations participating in energy and ancillary service markets,” IEEE J. Emerging Sel. Top. Ind. Electron, vol. 3, no. 2, pp. 270–278, 2021.
  11. Wu, J. Hu, X. Ai, and G. Yang, “Data-driven approaches for optimizing EV aggregator power profile in energy and reserve market,” Int. J. Electr. Power Energy Syst., vol. 129, p. 106808, 2021.
  12. Yao, Y. Fan, F. Zhao, and S.-C. Ma, “Economic and climate benefits of vehicle-to-grid for low-carbon transitions of power systems: A case study of China’s 2030 renewable energy target,” J. Cleaner Prod., vol. 330, p. 129833, 2022.
  13. Hannan, M. S. Mollik, A. Q. Al-Shetwi, S. A. Rahman, M. Mansor, R. A. Begum, K. M. Muttaqi, Z. Y. Dong, “Vehicle to grid connected technologies and charging strategies: Operation, control, issues and recommendations,” J. Cleaner Prod., p. 130587, 2022.
  14. Alsharif, C. W. Tan, R. Ayop, A. Dobi, and K. Y. Lau, “A comprehensive review of energy management strategy in Vehicle-to-Grid technology integrated with renewable energy sources,” Sustainable Energy Technol. Assess., vol. 47, p. 101439, 2021.
  15. Rahbari-Asr, M.-Y. Chow, J. Chen, and R. Deng, “Distributed real-time pricing control for large-scale unidirectional V2G with multiple energy suppliers,” IEEE Trans. Ind. Inf., vol. 12, no. 5, pp. 1953–1962, 2016.
  16. W. Sun and J. Jiao, “A survey of vehicle-togrid implementation through virtual power plants,” in Applied Mechanics and Materials, 2014, vol. 631: Trans Tech Publ, pp. 314–317.
  17. DeForest, J. S. MacDonald, and D. R. Black, “Day ahead optimization of an electric vehicle fleet providing ancillary services in the Los Angeles Air Force Base vehicle-to-grid demonstration,” Appl. Energy, vol. 210, pp. 987–1001, 2018.
  18. B. Harris and M. E. Webber, “The sensitivity of vehicle-to-grid revenues to plug-in electric vehicle battery size and EVSE power rating,” in proc. of the 2014 IEEE PES General Meeting Conference & Exposition, National Harbor, MD, USA, 2014, pp. 1–5.
  19. Y. Metwly, M. Ahmed, M. S. Hamad, A. S. Abdel-Khalik, E. Hamdan, and N. A. Elmalhy, “Power management optimization of electric vehicles for grid frequency regulation: Comparative study,” Alexandria Eng. J., vol. 65, pp. 749–760, 2023.
  20. de la Torre, J. Aguado, and E. Sauma, “Optimal scheduling of ancillary services provided by an electric vehicle aggregator,” Energy, vol. 265, p. 126147, 2023.
  21. E. Khodayar, L. Wu, and M. Shahidehpour, “Hourly coordination of electric vehicle operation and volatile wind power generation in SCUC,” IEEE Trans. Smart Grid, vol. 3, no. 3, pp. 1271–1279, 2012.
  22. J. Bessa and M. Matos, “Global against divided optimization for the participation of an EV aggregator in the day-ahead electricity market. Part I: Theory,” Electr. Power Syst. Res., vol. 95, pp. 309–318, 2013.
  23. J. Bessa and M. Matos, “Global against divided optimization for the participation of an EV aggregator in the day-ahead electricity market. Part II: Numerical analysis,” Electr. Power Syst. Res., vol. 95, pp. 319–329, 2013.
  24. Pantos, “Exploitation of electric-drive vehicles in electricity markets,” IEEE Trans. Power Syst., vol. 27, no. 2, pp. 682–694, 2011.
  25. Ansari, A. T. Al-Awami, E. Sortomme, and M. Abido, “Coordinated bidding of ancillary services for vehicle-to-grid using fuzzy optimization,” IEEE Trans. Smart Grid, vol. 6, no. 1, pp. 261–270, 2014.
  26. J. Osório, M. Lotfi, M. Gough, M. Javadi, H. M. Espassandim, M. Shafie-khah, J. P. Catalão, “Modeling an electric vehicle parking lot with solar rooftop participating in the reserve market and in ancillary services provision,” J. Cleaner Prod., vol. 318, p. 128503, 2021.
  27. Faddel, A. Aldeek, A. T. Al-Awami, E. Sortomme, and Z. Al-Hamouz, “Ancillary Services bidding for uncertain bidirectional V2G using fuzzy linear programming,” Energy, vol. 160, pp. 986–995, 2018.
  28. Rossini, C. Sandroni, and R. Vignali, “A stochastic optimization approach to the aggregation of electric vehicles for the provision of ancillary services,” IFAC-PapersOnLine, vol. 53, no. 2, pp. 7431–7438, 2020.
  29. Zhou, Y. Xiang, Y. Huang, X. Wei, Y. Liu, and J. Liu, “Economic analysis of auxiliary service by V2G: City comparison cases,” Energy Rep., vol. 6, pp. 509–514, 2020.
  30. Raveendran, C. Alvarez-Bel, and M. G. Nair, “Assessing the ancillary service potential of electric vehicles to support renewable energy integration in touristic islands: A case study from Balearic island of Menorca,” Renewable Energy, vol. 161, pp. 495–509, 2020.
  31. B. Esan, O. Oghorada, and A. F. Agbetuyi, “Conceptual model framework for demand response ancillary services deployed by inter-connected microgrids in West Africa – A Nigerian case study,” Renewable Energy Focus, vol. 34, pp. 47–56, 2020.
  32. Huda, M. Aziz, and K. Tokimatsu, “Potential ancillary services of electric vehicles (vehicle-togrid) in Indonesia,” Energy Procedia, vol. 152, pp. 1218–1223, 2018.
  33. Habibifar, A. Aris Lekvan, and M. Ehsan, “A riskconstrained decision support tool for EV aggregators participating in energy and frequency regulation markets,” Electr. Power Syst. Res., vol. 185, p. 106367, 2020.
  34. K. Pecenak, M. Stadler, P. Mathiesen, K. Fahy, and J. Kleissl, “Robust design of microgrids using a hybrid minimum investment optimization,” Applied Energy, vol. 276, p. 115400, 2020.
  35. Rezaei, A. Khazali, M. Mazidi, and A. Ahmadi, “Economic energy and reserve management of renewable-based microgrids in the presence of electric vehicle aggregators: A robust optimization approach,” Energy, vol. 201, p. 117629, 2020.
  36. Nikmehr, “Distributed robust operational optimization of networked microgrids embedded interconnected energy hubs,” Energy, vol. 199, p. 117440, 2020.
  37. Dallinger, D. Krampe, and M. Wietschel, “Vehicleto-grid regulation reserves based on a dynamic simulation of mobility behavior,” IEEE Trans. Smart Grid, vol. 2, no. 2, pp. 302–313, 2011.
  38. Kafaei, D. Sedighizadeh, M. Sedighizadeh, and A. Sheikhi Fini, “A two-stage IGDT/TPEM model for optimal operation of a smart building: A case study of Gheshm Island, Iran,” Therm. Sci. Eng. Prog., vol. 24, p. 100955, 2021.
  39. Bhandari, K. Sun, and F. Homans, “The profitability of vehicle to grid for system participants-A case study from the Electricity Reliability Council of Texas,” Energy, vol. 153, pp. 278–286, 2018.
  40. Yumiki et al., “Autonomous vehicle-to-grid design for provision of frequency control ancillary service and distribution voltage regulation,” Sustainable Energy, Grids and Networks, vol. 30, p. 100664, 2022.
  41. Laouafi, F. Laouafi, and T. E. Boukelia, “An adaptive hybrid ensemble with pattern similarity analysis and error correction for short-term load forecasting,” Applied Energy, vol. 322, p. 119525, 2022.
  42. Rice et al., “Time-Series Forecasting Energy Loads: A Case Study in Texas,” in proc. of the 2022 Systems and Information Engineering Design Symposium (SIEDS), Charlottesville, VA, USA, 2022, pp. 196–201.
  43. Sortomme and M. A. El-Sharkawi, “Optimal combined bidding of vehicle-to-grid ancillary services,” IEEE Trans. Smart Grid, vol. 3, no. 1, pp. 70–79, 2011.
  44. Sortomme and M. A. El-Sharkawi, “Optimal charging strategies for unidirectional vehicle-to-grid,” IEEE Trans. Smart Grid, vol. 2, no. 1, pp. 131–138, 2010.
آمار
تعداد مشاهده مقاله: 444
تعداد دریافت فایل اصل مقاله: 441


سامانه مدیریت نشریات علمی. قدرت گرفته از سیناوب