برنامه‌ریزی تعمیر و نگهداری واحد‌های بادی از نگاه مالک نیروگاه با هدف کمینه‌سازی ضرر اقتصادی

نوع مقاله : مقاله برق

نویسندگان

1 دانش آموخته کارشناسی ارشد، دانشکده مهندسی برق، دانشگاه سمنان

2 استاد، دانشکده مهندسی برق، دانشگاه سمنان

چکیده

برنامه­ ریزی تعمیر و نگهداری واحد­های بادی می­تواند از نگاه بهره­ بردار مستقل سیستم (ISO) و با اهدافی چون کاهش هزینه، افزایش قابلیت اطمینان سیستم و یا افزایش رفاه اجتماعی صورت گیرد. اما، برنامه­ ریزی تعمیر و نگهداری واحدهای بادی به دلایلی همچون هزینه­ ی بهره­ برداری پایین واحدهای بادی و تلاش برای استفاده­ی حداکثری از انرژی باد، باید متفاوت باشد و نمی­تواند توأم با برنامه­ ریزی واحدهای حرارتی انجام پذیرد. این امر سبب نگاهی متفاوت و جدید به مسأله­ی برنامه­ ریزی تعمیر و نگهداری واحد­های بادی می­گردد. در سیستم قدرت تجدید ساختار یافته، مالکیت تجهیزات و بهره­برداری آن­ها از هم تفکیک شده و مالک تجهیزات به دنبال کسب سود بالاتر است. در این مقاله، روشی برای برنامه ­ریزی تعمیر و نگهداری واحدهای بادی از نگاه مالک نیروگاه، با هدف کمینه کردن سود از دست رفته ­ی واحد­ها در بازه­ی خروج ارائه می­گردد. برای این منظور از مدل مسأله­ ی برنامه ­ریزی مشارکت واحدها بر پایه­ ی قیمت (PBUC) استفاده می­شود. با استفاده از داده­ های سرعت باد در بازه ­ی مورد مطالعه و تابع چگالی احتمال ویبول، سرعت باد در منطقه پیش­ بینی می­ گردد و با توجه به منحنی توان توربین ­های بادی، توان تولیدی توربین­ ها تخمین زده می­ شود. برای نزدیکی به واقعیت، عدم قطعیت در برآورد توان تولیدی با استفاده از توزیع نرمال مدل­سازی شده و در مسأله­ ی برنامه­ ریزی واحدها لحاظ می­گردد. در ادامه، نتایج عددی برای یک IEEE-RTS محاسبه می­شود. بازه­ ی خروج واحدها با اولویت از دست دادن کمترین سود (کمترین ضرر) به ISO پیشنهاد می­ گردد. سپس،  ISO بر اساس معیارهای قابلیت اطمینان، در خصوص پذیرش یا رد پیشنهادها تصمیم ­گیری می­ نماید

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Maintenance Scheduling of Wind Units from the Power Plant Owner’s Perspective with the Objective of Minimizing Economic Loss

نویسندگان [English]

  • Amir Allame 1
  • Asghar Akbari Foroud 2
1 M.S., Faculty of Electrical and Computer Engineering-Semnan University-Semnan-Iran
2 professor, Faculty of Electrical and Computer Engineering-Semnan University-Semnan-Iran
چکیده [English]

The maintenance scheduling of wind units can be analyzed through the lens of an Independent System Operator (ISO) with goals that encompass cost minimization, enhanced system reliability, or improved social welfare. Nevertheless, the maintenance scheduling of wind units ought to be distinct as a result of factors including the relatively low operating costs associated with wind units and the endeavor to optimize the utilization of wind energy. Simultaneous execution of thermal unit scheduling is not feasible. This calls for the development of a novel method for the maintenance scheduling of wind turbines. In a restructured power system, there is a clear delineation between equipment ownership and operation, leading equipment owners to pursue increased profitability. This article presents a methodology for the maintenance scheduling of wind units, focusing on the perspective of power plant owners. The primary objective is to minimize the financial losses incurred during the outage period of these units. The Price-Based Unit Commitment (PBUC) model is employed for this purpose. The estimation of wind speed in the prediction region is conducted by utilizing wind speed data from the study period and employing the Weibull probability density function. Subsequently, the estimated power generation of wind turbines is calculated by referencing the power curve specific to these turbines. In order to address the concept of reality, uncertainty in power estimation is represented through the utilization of a normal distribution and considered within the framework of the unit commitment problem. Following that, numerical computations are performed for an IEEE-RTS (Reliability Test System). The proposal to the ISO involves determining the outage period of units, with a focus on prioritizing the minimization of the least profit loss or minimum loss. Subsequently, the ISO exercises its authority to determine the acceptance or rejection of proposals by employing reliability criteria.

کلیدواژه‌ها [English]

  • Maintenance scheduling
  • Wind unit
  • Power plant’s owner
  • Wind speed
  • Wind turbine power
  • Unit’s profit
  • Uncertainty

مراجع

[1] H.S. Bagiorgas, M.N. Assimakopoulos, D. Theoharopoulos, D. Matthopoulos, and G. K. Mihalakakou. "Electricity generation using wind energy conversion systems in the area of Western Greece." Energy Conversion and Management 48, no. 5 (2007): 1640-1655.
[2] M. Patel. "Ancillary Power Systems." Wind Sol. Power Syst, 2005.
[3] S.H Elyas, S. Babaeinejad Sarookolaee, and A. Akbari Foroud. "A novel approach for maintenance scheduling of generation units in restructured power system." In ISGT2011-India, pp. 374-379. IEEE, 2011.
[4] V. Sharifi, A. Abdollahi, and M. Rashidinejad. "Flexibility-based generation maintenance scheduling in presence of uncertain wind power plants forecasted by deep learning considering demand response programs portfolio." International Journal of Electrical Power & Energy Systems 141 (2022): 108225.
[5] A. Akbari Foroud, M. Amirahmadi, M. Bahmanzadeh, and A.A Abdoos. "Optimal bidding strategy for all market players in a wholesale power market considering demand response programs." European Transactions on Electrical Power 21, no. 1 (2011): 293-311.
[6] R.J. Green, and D.M. Newbery. "Competition in the British electricity spot market." Journal of political economy 100, no. 5 (1992): 929-953.
[7] W. Li, and X. Xiong. "Bidding based generator maintenance scheduling with triple-objective optimization." Electric Power Systems Research 93 (2012): 127-134.
[8] C. Feng, and X. Wang. "A competitive mechanism of unit maintenance scheduling in a deregulated environment." IEEE transactions on power systems 25, no. 1 (2009): 351-359.
[9] S. Kannan, S. Baskar, D. James McCalley, and P. Murugan. "Application of NSGA-II algorithm to generation expansion planning." IEEE Transactions on Power systems 24, no. 1 (2008): 454-461.
[10] S. Zhong, A.A. Pantelous, M. Beer, and J. Zhou. "Constrained non-linear multi-objective optimisation of preventive maintenance scheduling for offshore wind farms." Mechanical Systems and Signal Processing 104 (2018): 347-369.
[11] S.H. Elyas, A. Akbari Foroud, and H. Chitsaz. "A novel method for maintenance scheduling of generating units considering the demand side." International Journal of Electrical Power & Energy Systems 51 (2013): 201-212.
[12] R. Eshraghnia, M. Modir Shanechi, H. Rajabi Mashhadi, and A. Karsaz. "A novel approach for maintenance scheduling of generating units in a competitive environment." In 2006 IEEE power India conference, pp. 8-pp. IEEE, 2006.
[13] S. Perez-Canto, and J.C. Rubio-Romero. "A model for the preventive maintenance scheduling of power plants including wind farms." Reliability Engineering & System Safety 119 (2013): 67-75.
[14] J. Aghaei, A. Rahimi Rezaei, and M. Karimi. "Coordination of Wind Power Plants and Energy Storage Devices in Security-Constrained Unit Commitment Problem Using Robust Optimization." Modeling in Engineering 16, no. 53 (2018): 207-220 (in Persian).
[15] S. Carlos, A. Sánchez, S. Martorell, and I. Martón. "Onshore wind farms maintenance optimization using a stochastic model." Mathematical and Computer Modelling 57, no. 7-8 (2013): 1884-1890.
[16] X. Ge, , Q. Chen, Y. Fu, C.Y. Chung, and Y. Mi. "Optimization of maintenance scheduling for offshore wind turbines considering the wake effect of arbitrary wind direction." Electric Power Systems Research 184 (2020): 106298.
[17] M.I.H. Tusar, and B.R. Sarker. "Maintenance cost minimization models for offshore wind farms: A systematic and critical review." International Journal of Energy Research 46, no. 4 (2022): 3739-3765.
[18] Z. Zhang. "Multi-ACO application in routing and scheduling optimization of maintenance fleet (RSOMF) based on conditions for offshore wind farms." Journal of Power and Energy Engineering 6, no. 10 (2018): 20.
[19] T.S. Su, X.Y. Weng, F.Y. Vincent, and C.C. Wu. "Optimal maintenance planning for offshore wind farms under an uncertain environment." Ocean Engineering 283 (2023): 115033.
[20] C. Zhang, and T. Yang. "Optimal maintenance planning and resource allocation for wind farms based on non-dominated sorting genetic algorithm-ΙΙ." Renewable Energy 164 (2021): 1540-1549.
[21] Z. Ren, A.S. Verma, Y. Li, J.J. Teuwen, and Z. Jiang. "Offshore wind turbine operations and maintenance: A state-of-the-art review." Renewable and Sustainable Energy Reviews 144 (2021): 110886.
[22] M. Shahidehpour, H. Yamin, and Z. Li. "Market operations in electric power systems: forecasting, scheduling, and risk management." John Wiley & Sons, 2002.
[23] D. Lee, and R. Baldick. "Limiting ramp rate of wind power output using a battery based on the variance gamma process." RE&PQJ 10, no. 12 (2012).
[24] T. Jin, and Z. Tian. "Uncertainty analysis for wind energy production with dynamic power curves." In 2010 IEEE 11th international conference on probabilistic methods applied to power systems, pp. 745-750. IEEE, 2010.
[25] E.S. Hrayshat. "Wind availability and its potentials for electricity generation in Tafila, Jordan." Renewable and Sustainable Energy Reviews 9, no. 1 (2005): 111-117.
[26] M. Sharifi. "Investigating the application of Weibull statistical distribution in estimating electricity production from wind turbines in Iran. " In 21th International Electricity Conference, Tehran, Iran, 2006. (in Persian).
[27] Me. Akbarpour, R. Tanverdi, and M. Lohi. "Scheduling between production units of a combined wind power plant-storage pump system in the electricity market environment. " In 2th Sird Regional Conference, Tehran, Iran, 2013. (in Persian).
[28] R.T. Task Force. "IEEE reliability test system." IEEE Trans. on PAS 98, no. 6 (1979): 2047-2054.
[29] Moaleman Wind Speed Data, from http://www.suna.org.ir/fa/regions (2007).
[30] C. Ortega, , A. Younes, M. Severy, C. Chamberlin, and A. Jacobson. "Resource and load compatibility assessment of wind energy offshore of humboldt county, california." Energies 13, no. 21 (2020): 5707.
[31] N.M. Tabari, M. Pirmoradian, B. Hassanpour, H. Daneshi, and R. Sirjani. "Maintenance scheduling in a competitive environment from the GenCos' point of view." In 45th International Universities Power Engineering Conference UPEC2010, pp. 1-5. IEEE, 2010.
 
مدل سازی در مهندسی
دوره 22، شماره 77
شهریور 1403
صفحه 175-188

فایل ها

سابقه مقاله

  • تاریخ دریافت: 31 تیر 1402
  • تاریخ بازنگری: 20 شهریور 1402
  • تاریخ پذیرش: 07 آبان 1402

هم رسانی

ارجاع به این مقاله

آمار