برنامه‌ریزی توسعه شبکه‌های الکتریکی و گازی با در نظر گرفتن تغذيه انواع مختلف انرژی مصرفی
محورهای موضوعی : شبکه هوشمند برق
علیرضا دهشیری بادی
1
,
وحید امیر
2
,
سید محمد شریعتمدار
3
1 - گروه برق و کامپیوتر- واحد کاشان، دانشگاه آزاد اسلامی، کاشان، ایران
2 - گروه برق و کامپیوتر- واحد کاشان، دانشگاه آزاد اسلامی، کاشان، ایران
3 - گروه برق و کامپیوتر- واحد کاشان، دانشگاه آزاد اسلامی، کاشان، ایران
کلید واژه: انرژي مصرفي چند حاملي, برنامه‌ريزي توسعه توليد و انتقال, بهره‌برداري سيستم, شبکه الکتريکي و گازي,
چکیده مقاله :
در اين مقاله، برنامه‌ريزي توسعه توليد و انتقال در شبکه‌هاي الکتريکي و گازي ارائه مي‌شود که اين شبکه‌ها تغذيه‌کننده انرژي‌هاي مصرفي الکتريکي، حرارتي و گازي هستند. طرح هزينه برنامه‌ريزي (مجموع هزينه احداث و هزينه مورد انتظار بهره‌برداري) توليد و انتقال در شبکه‌هاي مذکور را کمينه‌سازي ميکند. طرح فوق مقيد به بودجه سرمايه‌گذاري، مدل برنامه‌ريزي عناصر یاد شده، معادلات پخش توان شبکه‌هاي الکتريکي و گازي، محدوديت بهره‌برداري شبکه‌ها و محدوديت منحني قابليت توليدکننده‌ها است. در ادامه يک مدل تقريب خطي براي قيود مسأله با در نظر گرفتن تابع هدف درجه دوم به دست مي‌آيد. همچنین بهينه‌سازي تصادفي براي مدل‌سازي عدم قطعيت‌هاي بار و توان تجديدپذير استفاده مي‌شود. در این مدل، انتقال در شبکه‌هاي الکتريکي و گازي با تغذیه همزمان انرژی‌های مصرفي مختلف مانند الکتريکي، گازي و حرارتي با در نظر گرفتن مدل برق به حرارت و گاز به حرارت به‌عنوان نوآوري‌هاي اين طرح محسوب شده است. درنهایت نتايج عددي مستخرج شده قابليت طرح پيشنهادي در ارتقاء وضعيت بهره‌برداري و اقتصادي شبکه‌هاي مذکور با برنامه‌ريزي بهينه توليد و انتقال را نشان می‌دهد.
This paper presents the generation and transmission expansion planning (GTEP) in electricity and gas networks. These networks supply electricity, heat, and gas consumption energies. Scheme minimizes the generation and transmission planning cost (total investment cost and expected operating cost). It is constrained to the investment budget and the planning model of the mentioned elements, the power flow equations of electricity and gas networks, the operation limits of the networks, and the limitation on generation capability. In the following, a linear approximation model considering quadratically objective function is obtained. Furthermore, stochastic optimization is adopted to model the uncertainty of load and renewable power. In this model, the concurrent consideration of electrical and gas networks with regard to fulfilments of simultaneous electrical-gas-thermal consumers is considered as a novel model into the model. Finally, the extracted numerical results confirm the capability of the proposed scheme in improving the operation and economic of the mentioned networks using optimal generation and transmission planning.
[1] L.C. Costa, F.S. Thomé, J.D. Garcia, M.V.F. Pereira, "Reliability-constrained power system expansion planning: A stochastic risk-averse optimization approach", IEEE Trans. on Power Systems, vol. 36, no. 1, pp. 97-106, Jan. 2021 (doi: 10.1109/TPWRS.2020.3007974).
[2] H. Mavalizadeh, A. Ahmadi, F.H. Gandoman, P. Siano, H.A. Shayanfar, "Multiobjective robust power system expansion planning considering generation units retirement", IEEE Systems Journal, vol. 12, no. 3, pp. 2664-2675, Sept. 2018 (doi: 10.1109/JSYST.2017.2672694).
[3] A.A. Baziar, T. Niknam, M. Simab, "Strategic offering of producers in the day-ahead coupled gas and elec¬tr¬icity market including energy and reserve models", Electric Power Systems Research, vol. 199, Article Number: 107376, Oct. 2021 (doi: 10.1016/j.epsr.2021.107376).
[4] V. Asgharian, M. Abdelaziz, "A low-carbon market-based multi-area power system expansion planning model", Electric Power Systems Research, vol. 187, Article Number: 106500, Oct. 2020 (doi: 10.1016/j.ep¬sr.20¬2¬0.106500).
[5] H. Arasteh, M. Kia, V. Vahidinasab, M. Shafie-khah, J.P.S. Catalão, "Multiobjective generation and tran¬smi¬ssion expansion planning of renewable dominated power systems using stochastic normalized normal constraint", International Journal of Electrical Power and Energy Systems, vol. 121, Article Number: 106098, Oct. 2020 (doi: 10.1016/j.ijepes.2020.106098).
[6] M. Peker, A.S. Kocaman, B.Y. Kara, "A two-stage stochastic programming approach for reliability const¬rained power system expansion planning", International Journal of Electrical Power and Energy Systems, vol. 103, pp. 458-469, Dec. 2018 (doi: 10.1016/j.ijepes.2018.06.013).
[7] H. Nemati, M.A. Latify, G.R. Yousefi, "Coordinated generation and transmission expansion planning for a power system under physical deliberate attacks", International Journal of Electrical Power and Energy Systems, vol. 96, pp. 208-221, March. 2018 (doi: 10.1016/j.ijepes.2017.09.031).
[8] D.A. Tejada-Arango, G. Morales-España, S. Wogrin, E. Centeno, "Power-Based Generation Expansion Planning for Flexibility Requirements", IEEE Trans. on Power Systems, vol. 35, no. 3, pp. 2012-2023, May. 2020 (doi: 10.1109/TPWRS.2019.2940286).
[9] P.V. Gomes, J.T. Saraiva, "A two-stage strategy for security-constrained AC dynamic transmission expansion planning", Electric Power Systems Research, vol. 180, Article Number: 106167, March 2020 (doi: 10.1016/j.epsr.2019.106167).
[10] S. Das, A. Verma, P.R. Bijwe, "Security constrained AC transmission network expansion planning", Electric Power Systems Research, vol. 172, pp. 277-289, July. 2019 (doi: 10.1016/j.epsr.2019.03.020).
[11] S.A. Eghbali Khob, M. Moazzami, R. Hemmati, "Advanced model for joint generation and transmission expansion planning including reactive power and security constraints of the network integrated with wind turbine", International Transactions on Electrical Energy Systems, vol. 29, pp. 1-20, April 2019 (doi: 10.100¬2/etep.2799).
[12] M. Qorbani, T. Amraee, "Long term transmission expansion planning to improve power system resilience against cascading outages". Electric Power Systems Research, vol. 192, Article Number: 106972, March 2021 (doi: 10.1016/j.epsr.2020.106972).
[13] H.R. Hamidpour, S. Pirouzi, S. Safaee, M. Norouzi, M. Lehtonen, "Multi-objective resilient-constrained gen¬er¬ation and transmission expansion planning against natural disasters". International Journal of Electrical Power and Energy Systems, vol. 132, Article Number: 107193, Nov. 2021 (doi: 10.1016/j.ije¬pes.202¬1.10¬71¬93).
[14] V. Khaligh, A. Anvari-Moghaddam, "Stochastic expansion planning of gas and electricity networks: A decentralized-based approach", Energy, vol. 186, Article Number: 115889, Nov. 2019 (doi: 10.1016/j.ene¬rgy.2¬019.115889).
[15] V. Khaligh, M.O. Buygi., "Co-planning of electricity and gas networks considering risk level assessment", IET Generation, Transmission and Distribution, vol. 14, no. 13, pp. 2476-2487, July 2020 (doi: 10.1049/iet-gtd.2019.0712).
[16] M. Chaudry, N. Jenkins, M. Qadrdan, J. Wu, "Combined gas and electricity network expansion planning", Applied Energy, vol. 113, pp. 1171-1187, Jan. 2014 (doi: 10.1016/j.apenergy.2013.08.071).
[17] J. Qiu, H. Yang, Z.Y. Dong, J.H. Zhao, K. Meng, F.J. Luo, K.P. Wong, "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 (doi: 10.1109/TPWRS.2015.2496203).
[18] A. Nikoobakht, J. Aghaei, M. Parvania, M. Sahraei-Ardakani, "Contribution of FACTS devices in power systems security using MILP-based OPF", IET Generation, Transmission & Distribution, vol. 12, no.15, pp. 3744-3755, Aug. 2018 (doi: 10.1049/iet-gtd.2018.0376).
[19] H. 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, March 2019 (doi: 10.1049/iet-rpg.2018.5835).
[20] A. Dini, A.R. Azarhooshang, S. Pirouzi, M.A. Norouzi, M. Lehtonen, "Security-constrained generation and transmission expansion planning based on optimal bidding in the energy and reserve markets", Electric Power Systems Research, vol. 193, Article Number: 107017, April 2021 (doi: 10.1016/j.epsr.2020.107017).
[21] A. Jamali, J. Aghaei, M. Esmaili, A. Nikoobakht, T. Niknam, M. Shafie-khah, J.P.S. Catalão, "Self-sche¬duling approach to coordinating wind power producers with energy storage and demand response", IEEE Trans. on Sustainable Energy, vol. 11, no. 3, pp. 1210-1219, July 2020 (doi: 10.1109/TSTE.2019.2920884).
[22] R. Sepahvand, A. Asgharzadeh-Bonab, "Economic design of renewable hybrid system based on hydrogen and thermal storages considering electrical and thermal energy management", Journal of Intelligent Procedures in Electrical Technology, vol. 15, no. 59, pp. 109-124, Dec. 2024.
[23] B. Katanchi, A.A. Shojaei, M. Yaghoobi, "Presenting a novel hybrid approach for multi-objective distribution feeder reconfiguration considering the importance of reliability", Journal of Intelligent Procedures in Electrical Technology, vol. 15, no. 59, pp. 21-34, Dec. 2024.
[24] G.R Aghajani, H.A. Shayanfar, H. Shayeghi, "Demand side management in a smart micro-grid in the presence of renewable generation and demand response", Energy, vol. 126, pp. 622-637, May 2017 (doi: 10.1016/j.energy.2017.03.051).
[25] S.A. Seyed-Beheshti-Fini, S.M. Shariatmadar, V. Amir, "Frequency control in multi-carrier microgrids with the presence of electric vehicles based on adaptive neuro fuzzy inference system controller", Journal of Intelligent Procedures in Electrical Technology, vol. 14, no. 55, pp. 27-42, Dec. 2023 (dor: 20.1001.1.2¬3223¬871.1402.14.55.3.1).
[26] C. Wang, W. Wei, J. Wang, F. Liu, S. Mei, "Strategic offering and equilibrium in coupled gas and electricity markets", IEEE Trans. on Power Systems, vol. 33, no. 1, pp. 290-306, Jan. 2018 (doi: 10.1109/TPW¬RS.20¬1¬7.2¬¬698454).