مشارکت هابهاي انرژي تجديدپذير داراي ذخيرهسازهاي هيدروژني، حرارتي و هواي فشرده در بازار انرژي مبني بر سيستم مديريت انرژي
الموضوعات :
1 - دانشکده مهندسی و پرواز- دانشگاه افسری امام علی (ع)، تهران، ایران
الکلمات المفتاحية: ذخیرهسازی, ذخیره¬سازی حرارتی, هاب انرژی, هوای فشرده,
ملخص المقالة :
اين مقاله به مشارکت هابهاي انرژي تجديدپذير مجهز به مزارع بادي و واحدهاي بيوگاز، و ذخيرهسازهاي هيدروژني، حرارتي و هواي فشرده در بازار انرژي مبني بر مدل تسويه قيمت بازار ميپردازد. هابها همزمان در دو شبکه الکتريکي و حرارتي حضور دارند. واحد بيوگاز مجهز به فناوري ترکيبي برق و حرارت است، به طوري که آن همزمان در توليد انرژي الکتريکي و حرارتي نقش دارد. طرح پيشنهادي در قالب بهينهسازي دوسطحی است. سطح بالاي آن بيشينهسازي سود مورد انتظار هاب با در نظر گرفتن قيود بهرهبرداري منابع و ذخيرهسازهاي مذکور را فرمولبندي ميکند. در سطح پايين فرمولبندي استراتژي تسويه قيمت بازار لحاظ شده که آن کمينهسازي هزينه مورد انتظار واحدهاي توليد الکتريکي و حرارتي مقيد به معادلات پخش توان بهينه شبکههاي الکتريکي و حرارتي را در نظر ميگيرد. در ادامه روش کراش کان تاکر يک فرمولبندي تکسطحی براي طرح پيشنهادي به دست ميآورد. بهينهسازي تصادفي براي مدلسازي عدمقطعیتهای بار و منابع تجديدپذير استفاده ميشود. در نهايت نتايج عددي بهدست آمده بيانگر قابليت طرح پيشنهادي در ارتقای وضعيت اقتصادي و بهرهبرداري شبکههاي انرژي نسبت به مطالعات پخش بار بهينه (شبکه بدون هاب) در کنار استخراج زمانبندي بهينه انرژي هابها متناسب با ارتقای وضعيت اقتصادي آنها است. به طوري که ذخيرهسازهاي هیدروژنی، هواي فشرده و حرارتي منجر به ارتقای 2/11 درصد وضعيت اقتصادي هاب تجديدپذير ميشوند. مديريت بهينه انرژي هابهاي تجديدپذير مبني بر ذخيرهساز باعث ارتقای 27 درصد وضعيت اقتصادي يا بهرهبرداري شبکههاي انرژي نسبت به مطالعات پخش بار بهينه شده است.
[1] F. Khalafian, "Robust planning of the islanded hybrid system including renewable and non-renewable sources and stationary and mobile storages", Journal of Intelligent Procedures in Electrical Technology, vol. 14, no. 53, pp. 15-32, Sept. 2022 (in Persian) (dor: 20.1001.1.23223871.1402.14.53.2.6).
[2] K. Bradbury, L. Pratson, D. Patiño-Echeverri, "Economic viability of energy storage systems based on price arbitrage potential in real-time US electricity markets", Applied Energy, vol. 114, pp. 512-519, Feb. 2014 (doi: 10.1016/j.rser.2019.04.069).
[3] C. Iris, J.S. Lam, "A review of energy efficiency in ports: Operational strategies, technologies and energy management systems", Renewable and Sustainable Energy Reviews, vol. 112, pp. 170-182, Sept. 2019 (doi: 10.1016/j.rser.2019.04.069).
[4] M. Kazemi, T. Niknam, B.B. Firouzi, M. Nafar, "Energy hub flexibility, energy network, energy and reserve market, stochastic programming", Journal of Novel Researches on Electrical Power, vol. 4, no. 4, pp. 49-59, Dec. 2019 (in persian) (dor: 20.1001.1.23222468.1399.9.4.5.9).
[5] H.R. Zafarani, S.A. Taher, M. Shahidehpour, "Robust operation of a multicarrier energy system considering EVs and CHP units", Energy, vol. 192, pp.1-12, Feb. 2020 (doi: 10.1016/j.energy.2019.116703).
[6] A. Dini, S. Pirouzi, M.A. Norouzi, M. Lehtonen, "Grid-connected energy hubs in the coordinated multi-energy management based on day-ahead market framework", Energy, vol. 188, pp. 1-12, Dec. 2019 (doi: 10.1016/j.energy.2019.116055).
[7] K. Afrashi, B. Bahmani-Firouzi, M. Nafar, "Multicarrier energy system management as mixed integer linear Programming", Iranian Journal of Science and Technology, Transactions of Electrical Engineering, vol. 45, pp. 619-631, June 2021 (doi: 10.1007/s40998-020-00373-x).
[8] A. Heidari, S.S. Mortazavi, R.C. Bansal, "Stochastic effects of ice storage on improvement of an energy hub optimal operation including demand response and renewable energies", Applied Energy, vol. 261, Article Number: 114393, Mar. 2020 (doi: 10.1016/j.apenergy.2019.114393).
[9] M. Jalili, M. Sedighizadeh, A. Sheikhi-Fini, "Stochastic optimal operation of a microgrid based on energy hub including a solar-powered compressed air energy storage system and an ice storage conditioner", Journal of Energy Storage, vol. 33, Article Number: 102089, Jan. 2021 (doi: 10.1016/j.est.2020.102089).
[10] S. Geng, M. Vrakopoulou, I.A. Hiskens, "Optimal capacity design and operation of energy hub systems", Proceedings of the IEEE, vol. 108, no. 9, pp. 1475-1495, Sept. 2020 (doi: 10.1109/JPROC.2020.3009323).
[11] E. Akbari, S.F. Mousavi-Shabestari, S. Pirouzi, M. Jadidoleslam, "Network flexibility regulation by renew¬able energy hubs using flexibility pricing-based energy management”, Renewable Energy, vol. 206, pp. 295-308, Feb. 2023 (doi: 10.1016/j.renene.2023.02.050).
[12] A. Heidari, R.C. Bansal, J. Hossain, J. Zhu, "Strategic risk aversion of smart energy hubs in the joined energy markets applying a stochastic game approach", Journal of Cleaner Production, vol. 349, Article Number: 131386, May 2022 (doi: 10.1016/j.jclepro.2022.131386).
[13] A.R. Daneshvar-Garmroodi, F. Nasiri, F. Haghighat, "Optimal dispatch of an energy hub with compressed air energy storage: A safe reinforcement learning approach", Journal of Energy Storage, vol. 57, Article Number: 106147, Jan. 2023 (doi: 10.1016/j.est.2022.106147).
[14] G. Zhang, Y. Ge, Z. Ye, M. Al-Bahrani, "Multi-objective planning of energy hub on economic aspects and resources with heat and power sources, energizable, electric vehicle and hydrogen storage system due to uncertainties and demand response", Journal of Energy Storage, vol. 57, pp. 106160, Jan. 2023 (doi: 10.1016/j.est.2022.106160).
[15] S.A.A. Ghappani, A. Karimi, "Optimal operation framework of an energy hub with combined heat, hydrogen, and power (CHHP) system based on ammonia", Energy, vol.266, pp. 126407, Mar. 2023 (doi: 10.1016/j.energy.2022.126407).
[16] M.R. Jokar, S. Shahmoradi, A.H. Mohammed, L.K. Foong, B.N. Le, S. Pirouzi, "Stationary and mobile storages-based renewable off-grid system planning considering storage degradation cost based on information-gap decision theory optimization", Journal of Energy Storage, vol. 58, Article Number: 1063¬8¬9¬, Feb. 2023 (doi: 10.1016/j.est.2022.106389).
[17] M. Karami, M. Zadehbagheri, M.J. Kiani, S. Nejatian, "Retailer energy management of electric energy by combining demand response and hydrogen storage systems, renewable sources and electric vehicles", International Journal of Hydrogen Energy, vol. 48, no. 49, pp. 18775-18794, June 2023 (doi: 10.1016/j.i¬jhy¬dene.2023.01.285).
[18] A.R. Azarhooshang, D. Sedighizadeh, M. Sedighizadeh, "Two-stage stochastic operation considering day-ahead and real-time scheduling of microgrids with high renewable energy sources and electric vehicles based on multi-layer energy management system", Electric Power Systems Research, vol. 201, Article Number: 107527, Dec. 2021 (doi: 10.1016/j.epsr.2021.107527).
[19] W. Shi, X. Han, X.Y. Wang, J. Li, "Optimization scheduling strategy with multi-agent training data rolling enhancement for regional power grid considering operation risk and reserve availability", Proceeding of the IEEE/ACPEE, pp. 177401781, Tianjin, China, April 2023 (doi: 10.1109/ACPEE56931.2023.10135875).
[20] D. Bertsimas, E. Litvinov, X.A. Sun, J. Zhao, T. Zheng, "Adaptive robust optimization for the security constrained unit commitment problem", IEEE Trans. on Power Systems, vol. 28, no. 1, pp. 52-63, Feb. 2013 (doi: 10.1109/TPWRS.2012.2205021).
[21] H.R. Hamidpour, J. Aghaei, S. Dehghan, S. Pirouzi, T. Niknam, "Integrated resource expansion planning of wind integrated power systems considering demand response programmes", IET Renewable Power Generation, vol. 13, no. 4, pp. 519-529, Mar. 2019 (doi: 10.1049/iet-rpg.2018.5835).
[22] J. Aghaei, M. Barani, M. Shafie-khah, A.A.S. Nieta, J.P.S. Catalão, "Risk-Constrained offering strategy for aggregated hybrid power plant including wind power producer and demand response provider", IEEE Trans. on Sustainable Energy, vol. 7, no. 2, pp. 513-525, April 2016 (doi: 10.1109/TSTE.2015.2500539).
[23] D. Chattopadhyay, "Application of general algebraic modeling system to power system optimization", IEEE Trans. on Power Systems, vol. 14, no. 1, pp. 15-22, Feb. 1999 (doi: 10.1109/59.744462).
[24] I. Abdulrahman, "MATLAB-based programs for power system dynamic analysis", IEEE Open Access Journal of Power and Energy, vol. 7, pp. 59-69, Nov. 2019 (doi: 10.1109/OAJPE.2019.2954205).
[25] A. Shabanpour-Haghighi, A.R. Seifi, "Multi-objective operation management of a multi-carrier energy system", Energy, vol. 88, pp. 430-442, Aug. 2015 (doi: 10.1016/j.energy.2015.05.063).