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Security Constrained Reactive Power Scheduling Considering N-1 Contingency of Transmission Lines | ||
| Journal of Operation and Automation in Power Engineering | ||
| دوره 10، شماره 1، تیر 2022، صفحه 66-70 اصل مقاله (358.61 K) | ||
| نوع مقاله: Research paper | ||
| شناسه دیجیتال (DOI): 10.22098/joape.2022.8389.1580 | ||
| نویسندگان | ||
| E. Limouzadeh؛ A. Rabiee* | ||
| Faculty of Engineerig and Technology, Shahrekord University (SKU), Shahrekord, Iran | ||
| چکیده | ||
| This paper presents a methodology for reactive power scheduling (RPS) of power system in the form of AC optimal power flow (AC-OPF) problem. The objective function is minimization of system total active power losses. The OPF optimally determines reactive power output of generating units and synchronous condensers, tap-changers ratio, shunt capacitor banks and reactors. The effect of tap-changer is modeled in the active and reactive power flow of transformer. The proposed method grantees secure operation of system in normal operating condition and also in contingency of transmission line outage. The validity of proposed method is studied based on IEEE RTS 24-bus. Results show the capability of suggested AC-OPF for RPS of system in base case as well as contingency of single line outage. | ||
| کلیدواژه‌ها | ||
| Reactive power scheduling (RPS)؛ AC optimal power flow (AC-OPF)؛ Active power losses؛ Tap changer؛ Contingency | ||
| مراجع | ||
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[1] J. Wang, R. Wen and R. Yang, “On the procurement and pricing of reactive power service in the electricity market environment”,IEEE PES Gener. Meet., vol. 1, pp. 1120-24, 2004.
[2] J. Zhong and K. Bhattacharya, “Reactive power management in deregulated power systems-A review”, IEEE PES Winter Meet., vol. 2, pp. 1287-92, 2002.
[3] K. Lo and Y. Alturki, “Toward reactive power markets. Part 1: reactive power allocation”, IET Gener. Transm. Distrib., vol. 153, pp. 59-70, 2006.
[4] T. Menezes, L. Da Silva and V. Da Costa, “Dynamic VAR sources scheduling for improving voltage stability margin”, IEEE Trans. Power Syst., vol. 18, pp. 969-71, 2003.
[5] Ch. Su, Ch. Lin, “Fuzzy-based voltage/reactive power scheduling for voltage security improvement and loss reduction”, IEEE Trans. Power Deliv., vol. 16, pp. 319-23, 2001.
[6] V. Sarkar and S. Khaparde, “Reactive power constrained OPF scheduling with 2-D locational marginal pricing”, IEEE Trans. Power Syst., vol. 28, pp. 503-12, 2013.
[7] A. Kumar, S. Srivastava and S. Singh, “A zonal congestion management approach using real and reactive power rescheduling”, IEEE Trans. Power Syst., vol. 19, pp. 554-62, 2004.
[8] S. Corsi et al., “Coordination between the reactive power scheduling function and the hierarchical voltage control of the EHV ENEL system”, IEEE Trans. Power Syst., vol. 10, pp. 686-94, 1995.
[9] B. Venkatesh, G. Sadasivam and M. Khan, “A new optimal reactive power scheduling method for loss minimization and voltage stability margin maximization using successive multi-objective fuzzy LP technique,” IEEE Trans. Power Syst., vol. 15, pp. 844-51, 2000.
[10] R. Youssef, “Implicit generator and SVC modelling for contingency scheduling of reactive power dispatch”, IET Gener. Transm. Distrib., vol. 142, pp. 527-34, 1995.
[11] M. Castro, C. Moreira and L. Carvalho, “Hierarchical optimisation strategy for energy scheduling and volt/var control in autonomous clusters of microgrids”, IET Renew. Power Gener., vol. 14, pp. 27-38, 2020.
[12] S. Pirouzi et al., “A robust optimization approach for active and reactive power management in smart distribution networks using electric vehicles”, IEEE Systems J., vol. 12, pp. 2699-2710, 2018.
[13] M. Mahzouni-Sani, A. Hamidi, D. Nazarpour and S. Golshannavaz, “Multi-objective linearised optimal reactive power dispatch of wind-integrated transmission networks”, IET Gener. Transm. Distrib., vol. 13, pp. 2686-96, 2019.
[14] C. Cañizares et al., “Re-defining the reactive power dispatch problem in the context of competitive electricity markets”, IET Gener. Transm. Distrib., vol. 4, pp. 162-77, 2010.
[15] A. Rabiee, H. Shayanfar and N. Amjady, “Reactive power pricing – problems and a proposal for a competitive market”, IEEE Power Energy Mag., vol. 2009, pp. 19-32, 2009.
[16] N. Amjady, A. Rabiee, H. Shayanfar, “Pay-as-bid based reactive power market”, Energy Convers. Manag., vol. 51, pp. 367-81, 2010.
[17] A. Rabiee, H. Shayanfar, N. Amjady, “Coupled energy and reactive power market clearing considering power system security”, Energy Convers. Manag., vol. 50, pp. 907-15, 2009.
[18] Z. Rather, Z. Chen, P. Thogersen and P. Lund, “Dynamic reactive power compensation of large-scale wind integrated power system”, IEEE Trans. Power Syst., vol. 30, pp. 2516-26, 2015.
[19] S. Mohseni-Bonab et al., “Probabilistic multi objective optimal reactive power dispatch considering load uncertainties using monte carlo simulations”, J. Oper. Autom. Power Eng., vol. 1, pp. 83-93, 2015.
[20] H. Yousefi, S. Gholamian and A. Zakariazadeh, “Distributed voltage control in distribution networks with high penetration of photovoltaic systems”, J. Oper. Autom. Power Eng, vol. 8, pp. 164-171, 2020.
[21] Reliability Test System Task Force, “The IEEE Reliability Test System-1996”, IEEE Trans. Power Syst., vol. 14, pp. 1010-20, 1999.
[22] Generalized Algebraic Modeling Systems (GAMS), [Online] Available: http://www.gams.com.
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