جایابی بهینه سیستم‌های ذخیره‌ساز انرژی با در نظرگیری عدم قطعیت‌های تولید منابع تجدیدپذیر، بار و قیمت برق
محورهای موضوعی : مهندسی برق و کامپیوترنوید تقی زادگان کلانتری 1 , یوسف فنونی 2 , مرتضی آهنگری حساس 3
1 - دانشگاه شهید مدنی آذربایجان
2 - دانشگاه شهید مدنی آذربایجان
3 - دانشگاه شهید مدنی آذربایجان
کلید واژه: بهینه‌سازی, تجدیدپذیر, ذخیره‌ساز, طراحی, عدم قطعیت,
چکیده مقاله :
کاهش هزینه‌های شبکه و افزایش درآمد، یکی از اهداف مهم اپراتورهای شبکه می‌باشد. در این مقاله، مسأله جایابی و تعیین اندازه ذخیره‌سازهای انرژی مورد مطالعه قرار گرفته است. جایابی در جهت بیشینه‌کردن سود به دست آمده از تأسیس واحدهای تولید پراکنده و بهره‌برداری از ذخیره‌سازها انجام می‌پذیرد. مؤلفه‌های تشکیل‌دهنده تابع هدف مسأله جایابی شامل سود به دست آمده از بهره‌برداری واحد تولید پراکنده، سود به دست آمده از کاهش تلفات توان شبکه، هزینه نصب ذخیره‌ساز انرژی و سود به دست آمده از کاهش انرژی خریداری‌شده از شبکه بالادست می‌باشد. مدل به کار رفته به منظور جایابی، مبتنی بر رفتار احتمالاتی تابش خورشید، مصرف‌کننده‌های انرژی و اپراتورهای بازار برق است. به منظور مدل‌سازی طبیعت تصادفی توان خروجی نیروگاه‌های خورشیدی از تابع چگالی احتمال و برای مدل‌سازی بار و قیمت برق از روش سناریوبندی استفاده شده و شبیه‌سازی‌ها با استفاده از نرم‌افزار Matlab صورت گرفته است. در این مقاله، بالابردن قابلیت شبکه با بهره‌برداری از واحدهای تولید پراکنده و ذخیره‌سازهای انرژی مسأله اصلی است.
One of the main goals of distribution network operators is to reduce the cost of operating the network and improve profit. In this paper, the problem of siting and determining the size of energy storage batteries are studied. The constituent components of the objective function of the placement problem include the profit from the operation of the distributed generation unit, the profit from the reduction of grid power losses, the cost of installing an energy storage system, and the profit from the reduction of energy purchased from the upstream network. The model used for positioning is based on the probabilistic behavior of solar radiation, energy consumers, and electricity market operators. To model the stochastic nature of the output power of solar power plants, the probability density function has been used, and to model the load and price of electricity, the scenario method has been used. The simulations were performed using MATLAB software. The proposed method can manage the generation of solar power plants using the siting and management of charge and discharge of batteries.
[1] K. Saidi and A. Omri, "The impact of renewable energy on carbon emissions and economic growth in 15 major renewable energy-consuming countries," Environmental Research, vol. 186, Article No.: 109567, Jul. 2020.
[2] D. Yang and S. Alessandrini, "An ultra-fast way of searching weather analogs for renewable energy forecasting," Solar Energy, vol. 185, no. 1, pp. 255-261, Jun. 2019.
[3] D. Peng and R. Poudineh, "Electricity market design under increasing renewable energy penetration: misalignments observed in the European Union," Utilities Policy, vol. 61, Article No.: 100970, Dec. 2019.
[4] S. Liu and M. Xie, "Modeling the daily generation schedules in under-developed electricity markets with high-share renewables: a case study of Yunnan in China," Energy, vol. 201, Article No.: 117677, Jun. 2020.
[5] J. Sobon, A. Roscoe, and B. Stephen, "Energy storage day-ahead scheduling to reduce grid energy export and increase self-consumption for micro-grid and small power park applications," in Proc. 52nd Int. Universities Power Engineering Conf., UPEC’17, 6 pp., Heraklion, Greece, 29 Aug.-1 Sept. 2017.
[6] S. Wang, et al., "Design and advanced control strategies of a hybrid energy storage system for the grid integration of wind power generations," IET Renewable Power Generation, vol. 9, no. 2, pp. 89-98, Mar. 2015.
[7] W. Jing, C. Hung-Lai, S. Hui, and M. Ling, "Battery-supercapacitor hybrid energy storage system in standalone DC microgrids: a review," IET Renewable Power Generation, vol. 11, no. 4, pp. 461-469, May 2017.
[8] W. Huang and J. Abu-Qahouq, "Distributed battery energy storage system architecture with energy sharing control for charge balancing," in Proc. IEEE Applied Power Electronics Conf. and Exposition, pp. 1126-1130, Fort Worth, TX, USA, 16-20 Mar. 2014.
[9] A. Headley and D. Copp, "Energy storage sizing for grid compatibility of intermittent renewable resources: a California case study," Energy, vol. 198, Article No.: 117310, May 2020.
[10] Z. Yuan, S. He, A. Alizadeh, S. Nojavan, and K. Jermsittiparsert, "Probabilistic scheduling of power-to-gas storage system in renewable energy hub integrated with demand response program," J. of Energy Storage, vol. 29, Article No.: 101393, Jun. 2020.
[11] P. Chaudhary and M. Rizwan, "Voltage regulation mitigation techniques in distribution system with high PV penetration: a review," Renewable and Sustainable Energy Reviews, vol. 82, pt. 3, pp. 3279-3287, Feb. 2018.
[12] K. Baker, G. Hug, and X. Li, "Energy storage sizing taking into account forecast uncertainties and receding horizon operation," IEEE Trans. on Sustainable Energy, vol. 8, no. 1, pp. 331-340, Aug. 2016.
[13] M. Nick, R. Cherkaoui, and M. Paolone, "Optimal siting and sizing of distributed energy storage systems via alternating direction method of multipliers," International J. of Electrical Power & Energy Systems, vol. 72, pp. 33-39, 2015.
[14] K. Dvijotham, M. Chertkov, and S. Backhaus, "Storage sizing and placement through operational and uncertainty-aware simulations," in Proc. 47th Hawaii Int. Conf. on System Sciences, pp. 2408-2416,, Waikoloa, HI, USA, 6-9 Jan. 2014.
[15] R. Kolluri, et al., "Siting and sizing distributed storage for microgrid applications," in Proc. IEEE Int. Conf. on Smart Grid Communications, pp. 128-133, Dresden, Germany, 23-27 Oct. 2018.
[16] A. Rigas, G. Messinis, and N. Hatziargyriou, "Application of topology identification on optimal BESS sizing in distribution systems," in Proc. IEEE PES Innovative Smart Grid Technologies Conf. Europe, 6 pp., Sarajevo, Bosnia and Herzegovina, 21-25 Oct. 2018.
[17] H. Zhao, et al., "Optimal siting and sizing of energy storage system for power systems with large-scale wind power integration," in Proc. IEEE Eindhoven PowerTech, 6 pp., Eindhoven, Netherlands, 29 Jun.-2 Jul. 2015.
[18] L. Flatley, R. MacKay, and M. Waterson, "Optimal strategies for operating energy storage in an arbitrage or smoothing market," J. of Dynamics and Games, vol. 3, no. 4, pp. 371-398, Oct. 2016.
[19] D. Zoltan and R. Martyr, "Real option valuation of a decremental regulation service provided by electricity storage," Philosophical Trans. of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol. 375, no. 2100, 14 pp., Aug. 2017.
[20] M. Hartner and A. Permoser, "Through the valley: the impact of PV penetration levels on price volatility and resulting revenues for storage plants," Renewable Energy, vol. 115, pp. 1184-1195, Jan. 2018.
[21] J. Dong, et al., "Novel stochastic methods to predict short-term solar radiation and photovoltaic power," Renewable Energy, vol. 145, pp. 333-346, Jan. 2020.
[22] Y. Tang, J. Cheng, Q. Duan, C. Wing-Lee, and J. Zhong, "Evaluating the variability of photovoltaics: a new stochastic method to generate site-specific synthetic solar data and applications to system studies," Renewable Energy, vol. 133, pp. 1099-1107, Apr. 2019.
[23] E. Oh and S. Son, "Theoretical energy storage system sizing method and performance analysis for wind power forecast uncertainty management," Renewable Energy, vol. 155, pp. 1060-1069, Aug. 2020.
[24] L. Luo, S. Abdulkareem, A. Rezvani, M. Miveh, S. Samad, N. Aljojo, and M. Pazhoohesh, "Optimal scheduling of a renewable based microgrid considering photovoltaic system and battery energy storage under uncertainty," J. of Energy Storage, vol. 28, Article No.: 101306, Apr. 2020.
[25] S. Bozorgavari, J. Aghaei, S. Pirouzi, A. Nikoobakht, H. Farahmand, and M. Korpas, "Robust planning of distributed battery energy storage systems in flexible smart distribution networks: a comprehensive study," Renewable and Sustainable Energy Reviews, vol. 123, Article No.: 109739, May 2020.
[26] م. خواجه‌رضایی، غ. یوسفی، م. ا. لطیفی و ا. شایسته، "محاسبه هزينه قطع برق و نحوه بهينه تخصيص خاموشي به مشترکين،" نشريه مهندسي برق و مهندسي كامپيوتر ايران، الف- مهندسي برق، سال 18، شماره 3، صص. 177-169، پاييز 1399.
[27] ا. عطاپور، م. رحیمی و ا. اخباری، "کنترل و مدیریت توان سیستم ترکیبی میکروتوربین- بادی در حالت تغذیه بار مستقل AC،" نشريه مهندسي برق و مهندسي كامپيوتر ايران، الف- مهندسي برق، سال 18، شماره 3، صص. 190-178، پاييز 1399.
[28] B. Gu, H. Shen, X. Lei, H. Hu, and X. Liu, "Forecasting and uncertainty analysis of day-ahead photovoltaic power using a novel forecasting method," Applied Energy, vol. 299, Article No.: 117291, Oct. 2021.
[29] S. Aissou, D. Rekioua, N. Mezzai, T. Rekioua, and S. Bacha, "Modeling and control of hybrid photovoltaic wind power system with battery storage," Energy Conversion and Management, vol. 89, pp. 615-625, Jan. 2015.
[30] M. Khodayar, M. Feizi, and A. Vafamehr, "Solar photovoltaic generation: benefits and operation challenges in distribution networks," The Electricity J., vol. 32, no. 4, pp. 50-57, May 2019.
