Flexible and robust security-constrained unit commitment in the presence of wind power generation uncertainty

سال انتشار: 1403
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 93

فایل این مقاله در 17 صفحه با فرمت PDF قابل دریافت می باشد

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

JR_IJNAA-15-11_004

تاریخ نمایه سازی: 17 تیر 1403

چکیده مقاله:

Unreliable resources in conventional power systems have created new challenges for the users of these systems. These sources of production, including wind and solar sources, with a significant share in the power generation of many power systems, cause problems in the safe and stable operation of power systems due to uncertainty. Therefore, it is very important to provide a method or model for safe and stable operation of power systems. The main innovation of this paper is to present a new SCUC model to maximize the flexibility of the system along with reducing the operating cost in the form of a security-constrained multi-level robust optimization problem in the presence of wind uncertainty sources. Also, a set of demand response programs and rapid response hybrid cycle units are used as sources of flexibility. Accordingly, the tolerable range of uncertainty and system slope reservation is developed with a low-cost combination and with the commitment to flexible covering resources. The desired optimization problem has been solved with the help of the NCCG algorithm and the MILP method. The efficiency and reliability of this proposed model have been simulated and evaluated in IEEE ۶-bus and ۱۱۸-bus standard power systems, and the simulation results confirm the technical and economic efficiency of this model.

نویسندگان

Mohammad Ali Sadeghi

Department of Electrical Engineering, Tehran Branch, Technical and Vocational University, Tehran, Iran

Amir Abdollahi

Department of Electrical Engineering, Shahid Bahonar University, Kerman, Iran

Morteza Jadidoleslam Zeidabadi

Faculty of Electrical Engineering, Sirjan University of Technology, Sirjan, Iran

Shahriar Abbasi

Electrical and Computer Department, Kermanshah Brannch, Technical and Vocational University, Kermanshah, Iran

مراجع و منابع این مقاله:

لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :
  • J.M. Alemany, D.C.A. Moitre, H. Pinto, and F. Magnago, Short-term ...
  • M.I. Alizadeh, M.P. Moghaddam, and N. Amjady, Multistage multiresolution robust ...
  • M.I. Alizadeh, M. Parsa Moghaddam, and N. Amjady, Flexibility contribution ...
  • D. Bertsimas, E. Litvinov, X.A. Sun, J. Zhao, and T. ...
  • X. Chen, J. Layke, L.V.W. McGrory, J. Corfee-Morlot, and K. ...
  • R. Chen, J. Wang, A. Botterud, and H. Sun, Wind ...
  • Cobos, N.G., J.M. Arroyo, N. Alguacil and A. Street, Robust ...
  • N.G. Cobos, J.M. Arroyo, N. Alguacil, and J. Wang, Robust ...
  • J.J. Conti, P.D. Holtberg, J.A. Beamon, A.M. Schaal, J.C. Ayoub ...
  • C. Dai, Y. Chen, F. Wang, J. Wan and L. ...
  • J. Dong, S. Han, X. Shao, L. Tang, R. Chen, ...
  • X. Fang, L. Bai, F. Li and B.-M. Hodge, Hybrid ...
  • G. Ferrari-Trecate, E. Gallestey, P. Letizia, M. Spedicato, M. Morari, ...
  • D. Gielen, R. Gorini, R. Leme, G. Prakash, N.Wagner, L. ...
  • E. Heydarian-Forushani, M.E. Hamedani Golshan, M. Shafie-khah, and P. Siano, ...
  • B. Hu, L. Wu and M. Marwali, On the robust ...
  • IRENA. Roadmap ۲۰۳۰ Doubling the global share of renewable energy: ...
  • F. Jabari, H. Arasteh, A. Sheikhi-Fini, H. Ghaebi, M.B. Bannae-Sharifian, ...
  • K.-B. Kwon and D. Kim, Enhanced method for considering energy ...
  • E. Lannoye, D. Flynn, and M. O’Malley, Assessment of power ...
  • J. Li, S. Zhou, Y. Xu, M. Zhu and L. ...
  • T. Limbu, T. Saha, and J. McDonald, Value-based allocation and ...
  • F. Lu, Z. Yu, Y. Zou, and X. Yang, Energy ...
  • B. Lu and M. Shahidehpour, Short-term scheduling of combined cycle ...
  • M.S. Misaghian, M. Saffari, M. Kia, A. Heidari, M. Shafie-khah, ...
  • F. Moller Andersen, S.G. Jensen, H.V. Larsen, P. Meibom, H. ...
  • N. Navid and G. Rosenwald, Market solutions for managing ramp ...
  • N. Navid, G. Rosenwald and D. Chatterjee, Ramp capability for ...
  • B. Nitve and R. Naik, Steady state analysis of IEEE-۶ ...
  • N. None, Annual energy outlook ۲۰۱۶ with projections to ۲۰۴۰, ...
  • F. Pourahmadi, S.H. Hosseini, P. Dehghanian, E. Shittu and M. ...
  • I.E.A. Renewables, Analysis and Forecast to ۲۰۲۶, International Energy Agency, ...
  • S.P. Roukerd, A. Abdollahi, and M. Rashidinejad, Uncertainty-based unit commitment ...
  • A.A. Salimi, A. Karimi, and Y. Noorizadeh, Simultaneous operation of ...
  • S. Saranya and B. Saravanan, Effect of emission in SMES ...
  • M.M. Servan, P.A. Aguirre and M.G. Marcovecchio, Simultaneous optimal short ...
  • S.S. Soman, H. Zareipour, O. Malik, and P. Mandal, A ...
  • E. Taibi, T. Nikolakakis, L. Gutierrez, C. Fernandez, J. Kiviluoma, ...
  • N. Troy, D. Flynn and M. O'Malley, Multi-mode operation of ...
  • H. Wu, M. Shahidehpour, A. Alabdulwahab, and A. Abusorrah, Thermal ...
  • H. Wu, M. Shahidehpour, Z. Li and W. Tian, Chance-constrained ...
  • H.B. Xiong, Y.H. Shi, Z. Chen, C. Guo and Y. ...
  • H. Ye, Surrogate affine approximation based co-optimization of transactive flexibility, ...
  • J. Zhao, T. Zheng and E. Litvinov, Variable resource dispatch ...
  • نمایش کامل مراجع