ارائه یک مدل مدیریت انرژی یکپارچه تصادفی چندهدفه در ریزشبکه‌های برقی و حرارتی با جایابی منابع CHP و باتری، ذخیره‌ساز حرارتی و مدیریت سمت تقاضا

محورهای موضوعی : مهندسی برق و کامپیوتر

المیرا اخوان معروفی ¹ , محمود سمیعی مقدم ² , آزیتا آذرفر ³ , رضا داورزنی ⁴ , مجتبی واحدی ⁵

1 - دانشکده مهندسی برق، واحد شاهرود، دانشگاه آزاد اسلامی، شاهرود، ایران
2 - دانشکده مهندسی برق، واحد دامغان، دانشگاه آزاد اسلامی، دامغان، ایران
3 - دانشکده مهندسی برق، واحد شاهرود، دانشگاه آزاد اسلامی، شاهرود، ایران
4 - دانشکده مهندسی برق، واحد شاهرود، دانشگاه آزاد اسلامی، شاهرود، ایران
5 - دانشکده مهندسی برق، واحد شاهرود، دانشگاه آزاد اسلامی، شاهرود، ایران

تاریخ دریافت : 1402/08/09 تاریخ پذیرش : 1402/12/06 تاریخ انتشار : 1403/06/30

کلید واژه: ریزشبکه, باتری, مدیریت سمت تقاضا, منابع انرژی تجدیدپذیر,

چکیده مقاله :

در این مقاله یک مدل بهینه‌سازی بر اساس برنامه‌ریزی درجه دوم عدد صحیح مختلط تصادفی برای ارائه یک مدیریت انرژی یکپارچه برق و حرارت در ریزشبکه‌های برقی و حرارتی با در نظر گرفتن عدم قطعیت منابع انرژی تجدیدپذیر، جایابی منابع تولید برق و حرارت همزمان (CHP) به همراه سیستم‌های ذخیره انرژی و حرارتی و مدیریت سمت تقاضا در بهره‌برداری جزیره‌ای و متصل به شبکه ارائه شده است. یک تابع چند هدفه شامل کمینه‌سازی تلفات انرژی، انحراف ولتاژ، هزینه بهره‌برداری منابع و همچنین کاهش قطع منابع انرژی تجدیدپذیر و کاهش هزینه نصب در نظر گرفته شده است. شبکه توزیع IEEE 69 باس برای تجزیه و تحلیل انتخاب شده و کدنویسی در نرم‌افزار MATLAB و با بسته بهینه‌سازی CVX انجام شده است. مدل پیشنهادی نیز توسط قوی‌ترین حل‌کننده موجود به نام Gurobi حل شده است. نتایج بدست آمده نشان از عملکرد و دقت مدل پیشنهادی می‌باشد.

چکیده انگلیسی:

In this paper, an optimization model based on stochastic quadratic mixed integer programming to provide an integrated energy management of electricity and heat in electrical and thermal microgrids, taking into account the uncertainty of renewable energy sources, location of electricity generation sources and combined heat and power (CHP) along with energy and thermal storage systems and demand side management are provided in island operation and connected to the grid. A multi-objective function including minimization of energy loss, voltage deviation, cost of resource utilization, as well as reduction of renewable energy sources and reduction of installation cost is considered. The IEEE 69 bus distribution network was selected for analysis and coding was done in MATLAB software and CVX optimization package. The proposed model is also solved by the most powerful existing solver called Gurobi. The obtained results show the performance and accuracy of the proposed model.

منابع و مأخذ:

[1] W. Violante, C. A. Cañizares, M. A. Trovato and G. Forte, “An Energy Management System for Isolated Microgrids With Thermal Energy Resources,” in IEEE Transactions on Smart Grid, vol. 11, no. 4, pp. 2880-2891, July 2020, doi: 10.1109/TSG.2020.2973321.
[2] X. Zhang, G. G. Karady and S. T. Ariaratnam, “Optimal Allocation of CHP-Based Distributed Generation on Urban Energy Distribution Networks,” in IEEE Transactions on Sustainable Energy, vol. 5, no. 1, pp. 246-253, Jan. 2014, doi: 10.1109/TSTE.2013.2278693.
[3] N. Blaauwbroek, P. H. Nguyen, M. J. Konsman, H. Shi, R. I. G. Kamphuis and W. L. Kling, “Decentralized Resource Allocation and Load Scheduling for Multicommodity Smart Energy Systems,” in IEEE Transactions on Sustainable Energy, vol. 6, no. 4, pp. 1506-1514, Oct. 2015, doi: 10.1109/TSTE.2015.2441107.
[4] J. Wei, Y. Zhang, J. Wang and L. Wu, “Distribution LMP-Based Demand Management in Industrial Park via a Bi-Level Programming Approach,” in IEEE Transactions on Sustainable Energy, vol. 12, no. 3, pp. 1695-1706, July 2021, doi: 10.1109/TSTE.2021.3062044.
[5] N. A. Ashtiani, M. Gholami and G. B. Gharehpetian, “Optimal allocation of energy storage systems in connected microgrid to minimize the energy cost,” in 2014 19th Conference on Electrical Power Distribution Networks (EPDC), 2014, pp. 25-28, doi: 10.1109/EPDC.2014.6867493.
[6] M. Zhang, Q. Xu, C. Zhang, L. Nordström and F. Blaabjerg, “Decentralized Coordination and Stabilization of Hybrid Energy Storage Systems in DC Microgrids,” in IEEE Transactions on Smart Grid, vol. 13, no. 3, pp. 1751-1761, May 2022, doi: 10.1109/TSG.2022.3143111.
[7] Y. Song, Y. Liu, R. Wang and M. Ming, “Multi-Objective Configuration Optimization for Isolated Microgrid With Shiftable Loads and Mobile Energy Storage,” in IEEE Access, vol. 7, pp. 95248-95263, 2019, doi: 10.1109/ACCESS.2019.2928619.
[8] M. H. K. Tushar, A. W. Zeineddine and C. Assi, “Demand-Side Management by Regulating Charging and Discharging of the EV, ESS, and Utilizing Renewable Energy,” in IEEE Transactions on Industrial Informatics, vol. 14, no. 1, pp. 117-126, Jan. 2018, doi: 10.1109/TII.2017.2755465.
[9] Y. Fu, Z. Zhang, Z. Li and Y. Mi, “Energy Management for Hybrid AC/DC Distribution System With Microgrid Clusters Using Non-Cooperative Game Theory and Robust Optimization,” in IEEE Transactions on Smart Grid, vol. 11, no. 2, pp. 1510-1525, March 2020, doi: 10.1109/TSG.2019.2939586.
[10] X. Feng, J. Gu and X. Guan, “Optimal allocation of hybrid energy storage for microgrids based on multi-attribute utility theory,” in Journal of Modern Power Systems and Clean Energy, vol. 6, no. 1, pp. 107-117, January 2018, doi: 10.1007/s40565-017-0310-3.
[11] H. Eskandari, M. Kiani, M. Zadehbagheri, T. Niknam, “Optimal scheduling of storage device, renewable resources and hydrogen storage in combined heat and power microgrids in the presence plug-in hybrid electric vehicles and their charging demand,” in Journal of Energy Storage, vol. 50,104558, 2022. doi.org/10.1016/j.est.2022.104558
[12] P. Firouzmakan, R-A. Hooshmand, M. Bornapour, A. Khodabakhshian, “A comprehensive stochastic energy management system of micro-CHP units, renewable energy sources and storage systems in microgrids considering demand response programs,” in Renewable and Sustainable Energy Reviews, vol. 108, pp. 355-368, 2019. doi: 10.1016/j.rser.2019.04.001
[13] P. Pourghasem, F. Sohrabi, M. Abapour, B. Mohammadi-Ivatloo, “Stochastic multi-objective dynamic dispatch of renewable and CHP-based islanded microgrids,” in Electric Power Systems Research, vol. 173, pp. 193-201, 2019. doi: 10.1016/j.rser.2019.04.021
[14] F. Nazari-Heris, B. Mohammadi-ivatloo, D. Nazarpour, “Network constrained economic dispatch of renewable energy and CHP based microgrids,” in International Journal of Electrical Power & Energy Systems, vol. 110, pp. 144-160, 2019. doi: 10.12785/ijcds/1110135
[15] Y. Zhang, F. Meng, R. Wang, B. Kazemtabrizi, J. Shi, “Uncertainty-resistant stochastic MPC approach for optimal operation of CHP microgrid,” in Energy, vol. 179, pp. 1265-1278, 2019. doi:10.1016/j.energy.2019.04.151
[16] M. A. Jirdehi, M. Shaterabadi, V. Sohrabi Tabar, A. R. Jordehi, “Impact of diverse penetration levels of thermal units on a hybrid microgrid energy management considering the time of use and function priority,” in Applied Thermal Engineering, vol. 217, 119164, 2022. doi:10.1016/j.applthermaleng.202.119164
[17] N. B. Roy, D. Das, “Optimal allocation of active and reactive power of dispatchable distributed generators in a droop controlled islanded microgrid considering renewable generation and load demand uncertainties,” in Sustainable Energy, Grids and Networks, vol. 27,100482, 2021. doi: 10.24425/aee.2023.147416
[18] A. Naderipour, Z. Abdul-Malek, S. A. Nowdeh, V. K. Ramachandaramurthy, A. Kalam, J. M. Guerrero, “Optimal allocation for combined heat and power system with respect to maximum allowable capacity for reduced losses and improved voltage profile and reliability of microgrids considering loading condition,” in Energy, vol. 196, 117124, 2020. doi:10.1016/j.energy.2020.117124
[19] Y. Wang, P. Liu, D. Liu, F. Deng and Z. Chen, “Enhanced Hierarchical Control Framework of Microgrids With Efficiency Improvement and Thermal Management,” in IEEE Transactions on Energy Conversion, vol. 36, no. 1, pp. 11-22, March 2021, doi: 10.1109/TEC.2020.3002670.
[20] Z. Li, L. Wu, Y. Xu, S. Moazeni and Z. Tang, “Multi-Stage Real-Time Operation of a Multi-Energy Microgrid With Electrical and Thermal Energy Storage Assets: A Data-Driven MPC-ADP Approach,” in IEEE Transactions on Smart Grid, vol. 13, no. 1, pp. 213-226, Jan. 2022, doi: 10.1109/TSG.2021.3119972.
[21] L. Yang, L. Tianyu and H. Shusen, “Coordination and Optimization of CCHP Microgrid Group Game Based on the Interaction of Electric and Thermal Energy Considering Conditional Value at Risk,” in IEEE Access, vol. 9, pp. 88664-88673, 2021, doi: 10.1109/ACCESS.2021.3089591.
[22] Bidgoli MM, Karimi H, Jadid S, Anvari-Moghaddam A. “Stochastic electrical and thermal energy management of energy hubs integrated with demand response programs and renewable energy: A prioritized multi-objective framework,” in Electric Power Systems Research. Vol. 1;196:107183, 2020. doi:10.1016/j.epsr.2020.107183
[23] Hormozi, M.A., Bahmani Firouzi, B. & Niknam, T. “A Novel Strategy for Multi-area Dynamic Energy Management,” in Iran J Sci Technol Trans Electr Eng, vol. 45, pp. 115–129, 2021, doi: 10.1007/s40998-020-00340-6