آمار
| تعداد نشریات | 45 |
| تعداد شماره‌ها | 1,361 |
| تعداد مقالات | 16,731 |
| تعداد مشاهده مقاله | 53,983,123 |
| تعداد دریافت فایل اصل مقاله | 16,667,575 |
Fuzzy Risk-Based Optimal Reactive Power Dispatch in a Wind-Integrated Power System | ||
| مجله مهندسی برق دانشگاه تبریز | ||
| دوره 53، شماره 1 - شماره پیاپی 103، فروردین 1402، صفحه 69-79 اصل مقاله (1.1 M) | ||
| نوع مقاله: علمی-پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22034/tjee.2023.15980 | ||
| نویسندگان | ||
| میثم مکاری1؛ محمدحسن مرادی* 1؛ محمد عابدینی2 | ||
| 1Department of Electrical & Computer Engineering / Bu-Ali Sina University, Hamedan, Iran | ||
| 2Department of Electrical Engineering/ University of Ayatollah Boroujerdi, Boroujerd, Iran | ||
| چکیده | ||
| In this paper, a novel risk-based, two-objective (technical and economical) optimal reactive power dispatch method in a wind-integrated power system is proposed which is more consistent with operational criteria. The technical objective includes the minimization of the new voltage instability risk index. The economical objective includes cost minimization of reactive power generation and active power loss. The proposed voltage instability risk employs a hybrid possibilistic (Delphi-Fuzzy)-probabilistic approach that takes into consideration the operator’s experience, the wind speed and demand forecast uncertainties when quantifying the risk index. The decision variables are the reactive power resources of the system. To solve the problem, the modified multi-objective particle swarm optimization algorithm with sine and cosine acceleration coefficients is utilized. The method is implemented on the modified IEEE 30-bus system. The proposed method is compared with those in the previously published literature, and the results confirm that the proposed risk index is better at estimating the voltage instability risk of the system, especially in cases with severe impact and low probability. In addition, according to the simulation results compared to typical security-based planning, the proposed risk-based planning may increase the security and economy of the system due to better utilization of system resources. | ||
| کلیدواژه‌ها | ||
| Optimal reactive power dispatch؛ Risk quantification؛ Power system uncertainty؛ Multi-objective optimization | ||
| مراجع | ||
|
[1] J.D. McCalley,V. Vittal, N. Abi-Samra “An Overview of Risk Based Security Assessment”, IEEE Power Engineering Society Summer Meeting Conference Proceedings Edmonton, Alta, Canada, Canada, 1999.
[2] M. Mokari, M.H. Moradi , “Security Constraint Optimal Reactive Power Dispatch under uncertainty in a wind integrated power system”, 55th International Universities Power Engineering Conference (UPEC), 2020.
[3] F. Capitanescu, J.L. Martinez Ramos, P. Panciatici, D. Kirschen, M. Marcolini, A. Platbrood and L. Wehenkel, “State-of-the-art, challenges, and future trends in security constrained optimal power flow,” Elec. Pow. Syst. Research (2011), 81 (8),1731–1741.
[4] F. Xiao, J. D. McCalley, “Risk-Based Security and Economy Tradeoff Analysis for Real-Time Operation”, IEEE Transactions on Power Systems, VOL. 22, NO. 4, 2007.
[5] Q. Wang, J. D. McCalley, “Risk and “N-1” Criteria Coordinationfor Real-Time Operation”, IEEE Transaction on Power systems, VOL. 28, NO. 3, 2013.
[6] L. Roald, M. Vrakopoulou, F. Oldewurtel, G. Andersson, “Risk-constrained optimal power flow with probabilistic guarantees”, Power Systems Computation Conference, Wroclaw, Poland, 2014.
[7] A. Rabiee, A. Souroudi, A. Keane, “Risk-Averse preventive voltage control of AC/DC power systems including wind power generation”, IEEE Transaction on Sustainable Energy, 10.1109/ TSTE. 2015. 2451511, 2015.
[8] L. Roald, M. Vrakopoulou, F. Oldewurtel, G. Andersson, “Risk-Constrained Optimal Power Flow with Probabilistic Guarantees”, Power Systems Computation Conference, 12 February 2015.
[9] T. Hong, A. Raza, F. de Leon, “Optimal power dispatch under load uncertainty using a stochastic approximation method”, IEEE Transactions on Power Systems, vol. 31, NO. 6, 2016.
[10] Y. Z. Li, Q. H. Wu, “Downside Risk Constrained Probabilistic Optimal Power Flow With Wind Power Integrated”, IEEE Transactions on Power Systems, Volume: 31, Issue: 2, 2016.
[11] L. Roald, G. Andersson, S. Misra, M. S. Chertkov, “Optimal Power Flow with Wind Power Control and Limited Expected Risk of Overloads”, Power Systems Computation Conference (PSCC), Genoa, Italy, 2016.
[12] S. M. Bonab, A. Rabiee, B. M. Ivatloo, “Multi-Objective optimal reactive power dispatch considering uncertainties in the wind integrated power system”, Springer international publishing , 10.1007/978-3-319-51118-4_12, 2017.
[13] L. Roald, S. Misra, A. Morrison, G. Andersson, “Optimized Risk Limits for Stochastic Optimal Power Flow”, IEEE 56th Annual Conference on Decision and Control (CDC) December 12-15, Melbourne, Aus, 2017.
[14] W. Tianjiang, M. Matin, G. Ilya, “Optimal Power Flow with Multi-Objective Function in Active Unbalanced Distribution”, IEEE Transactions on Power Systems, 2017.
[15] J. Huang, Z. Li, Q. H. Wu, “Fully decentralized multi area reactvie power optimization considering practical regulation constraints of devices”, Electrical Power and Energy Systems, 105 351-364, 2019.
[16] M. Ghaljehei, Z. Soltani, J. Lin, G.B. Gharehpetian, M.A. Golkar, “Stochastic multi-objective optimal energy and reactive power dispatch considering cost, loading margin and coordinated reactive power reserve management”, Electric Power Systems Research, 166 , 163–177, 2019.
[17] پروا سوری، سید محمد شهرتاش ,"برنامهریزی بهینه ورود و خروجبانکهای خازنی با استفاده از اطلاعات محلی جهت کمینهسازی تلفات سراسری- مطالعه موردی شبکه ولتاژ متوسط ایران, "مجله مهندسی برق دانشگاه تبریز، جلد 50 شماره 4، زمستان 1399، 1672-1661 [18] P. Li, M. Yang, “Decentralized Distributionally Robust Coordinated Dispatch of Multi-area Power System Considering Voltage Security”, IEEE IAS Industrial and Commercial Power System Asia Technical Conference , 2020.
[19] M. Ettappan, V. Vimala, S. Ramesh, V. Thiruppathy Kesavan, “Optimal Reactive Power Dispatch for Real Power Loss Minimization and Voltage Stability Enahcment using Artificial Bee Colony Algorithm”, Microprocessors and Microsystems , doi. org/ 10.1016/ j.micpro.2020.103085, 2020.
[20] M. S. Saddique, A. R. Bahatti, S. S. Haroon, K. Sattar, S. Amin, I. A. Sjjad, S. S. ul Haq, A. B. Awan, N. Rasheed, “Solution to optimal reactive power dispatch in transmission system using meta-heuristic techniques―Status and technological review”, Electric Power Systems Research, 178- 106031, 2020.
[21] P. Lei, C. Wang, Q. Wu, M. Yang, “Risk Based distributionally Robust Reral-Time Dispatch Considering Voltage Security”, IEEE Transaction on Sustainable Energy, Volume: 12, Issue: 1, 2021.
[22] M. Hassan, S. Kamel, M. El-Dabah, T. Khurshaid, J. L. Dominguez-Garcia, “Optimal Reactive Power Dispatch With Time-Varying Demand and Renewable Energy Uncertainty Using Rao-3 Algorithm”, IEEE Access ( Volume:9), DOI: 10.1109/ACCESS.2021.3056423, 02, 2021.
[23] پژمان خالویی، پیام عاملی، مجتبی بیرقی, " برنامهریزی بهینه شبکه توزیع فعال در حضور نقاط باز انعطاف پذیر و ریزشبکهها با در نظر گرفتن تبادلات انرژی و توان راکتیو”, مجله مهندسی برق دانشگاه تبریز، جلد 52، شماره 2 تابستان 1401 [24] A. Rezaee Jordehi, “How to deal with uncertainties in electric power systems? A review”, Renewable and Sustainable energy, 96-145-155, 2018.
[26] J. Modarresi, E. Gholipour, A. Kodabakhsian, “A comprehensive review of the voltage stability indices”, Renewable and sustainable Energy Reviews, 63 , 2016.
[27] M. Jazaeri, M. Mokari, “A new technical-economical algorithm to improve asymmetry in system voltage by SVC”, European Journal of Scientific Research, vol. 115 No.3, 2013.
[28] B. Tamimi, C.A. Canizares, S. Vaez-Zadeh, “Effect of reactive power limit modeling on maximum system loading and active and reactive power markets”, IEEE Transactions on power systems, vol. 25, No. 2, 2010.
[29] N. Rahmat Ullah, K. Bhattacharya, T. Thiringer, “Wind farms as reactive power ancillary service providers technical and economic issues”, IEEE Transactions on Energy Conversion, vol. 24, No. 3, 2009.
[30] K. Chen, F. Zhou, L. Yin, Sh. Wang, Y. Wang, F. Wan, “A hybrid parcticle swarm optimizer with sine cosine acceleration coefficients”, Information Sciences, 422 - 218–241, 2018.
[31] R.D. Zimmerman, C.E. Murillo Sanchez, R.J. Thomas, “MATPOWER: Steady-State Operations, Planning, and Analysis Tools for Power Systems Research and Education”, IEEE Transactions on Power Systems, vol. 26, pp. 12–19, 2011.
[32] غلامرضا جانباز قبادی “, پتانسیل سنجی انرژی بادی جهت تعیین مکان بهینه برای احداث توربینهای بادی در استان مازندران”, مجله آمایش جغرافیایی فضا، فصلنامه علمی-پژوهشی دانشگاه گلستان، سال نهم، شماره مسلسل سی و چهار، زمستان 1398 صفحه 209-224. | ||
|
آمار تعداد مشاهده مقاله: 310 تعداد دریافت فایل اصل مقاله: 763 |
||