Well-being approach of a power system containing run-of the-river power plants

• Autorzy: Khalilzadeh E. , Fotuhi-Firuzabad M. , Ehsan M.

Identyfikatory

DOI

10.12913/22998624/76698

• Języki publikacji: EN

Abstrakty

EN

Renewable energies especially Run-Of the-River (ROR) power plants are increasingly used for the electricity generation in the power systems. The uncertain and intermittent nature of these plants arisen from variability of water flow, however, has led to some problems in their integration to power systems. Thus, the operating reserve requirement in a power system containing large ROR plants is a main challenge, which has to be addressed properly. In this way, this paper presents an analytical approach to determine the adequate spinning reserve based on the well-being approach during the system operation. The reliability model based on the components failures and uncertainty nature of water flow is introduced for ROR plants operation studies. This approach not only evaluates the interaction between these energies and conventional units, but also determines the contribution that ROR power plants can make in load carrying capability of a power generating system. Two reliability test systems, utilized from water flow data of Sheshpir River in Iran, are examined to demonstrate the effectiveness of the proposed model.

Słowa kluczowe

EN

uncertainty; water flow; operating reserve; run-of the-river (ROR); power; plants; spinning reserve; well-being approach

• Wydawca: Lublin University of Technology ; Polish Society of Ecological Engineering (PTIE), Branch of PTIE in Lublin
• Czasopismo: Advances in Science and Technology. Research Journal
• Rocznik: 2017
• Tom: Vol. 11, no 4
• Strony: 1--10
• Opis fizyczny: Bibliogr. 19 poz., fig., tab.

Twórcy

autor

Khalilzadeh E.

• Science and Research Branch, Islamic Azad University, Tehran, Iran

autor

Fotuhi-Firuzabad M.

• Center of Excellence in Power System Management & Control, Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran

autor

Ehsan M.

• Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran

Bibliografia

• 1.Zeng B., et al. Integrated planning for transition to low-carbon distribution system with renewable energy generation and demand response. IEEE Transactions on Power Systems, 29(3), 2014, 1153–1165.
• 2.Moeini-Aghtaie M., Abbaspour A. and Fotuhi-Firuzabad M. Incorporating large-scale distant wind farms in probabilistic transmission expansion planning–Part I: Theory and algorithm. IEEE Transactions on Power Systems, 27(3), 2012, 1585–1593.
• 3.Kamalinia S., Wu L. and Shahidehpour M. Stochastic midterm coordination of hydro and natural gas flexibilities for wind energy integration. IEEE Transactions on Sustainable Energy, 5(4), 2014, 1070–1079.
• 4.Zhao Q., et al. Evaluation of nodal reliability risk in a deregulated power system with photovoltaic power penetration. IET Generation, Transmission & Distribution, , 8(3), 2014, 421–430.
• 5.Burke D. J. and O’Malley M. J. Maximizing firm wind connection to security constrained transmission networks. IEEE Transactions on Power Systems, 25(2), 2010, 749–759.
• 6.Ghaedi A., et al. Toward a comprehensive model of large-scale DFIG-based wind farms in adequacy assessment of power systems. IEEE Transactions on Sustainable Energy, 5(1), 2014, 55–63.
• 7.Teymour H. R., et al. Solar PV and battery storage integration using a new configuration of a three-level NPC inverter with advanced control strategy. IEEE Transactions on Energy Conversion, 29(2), 2014, 354–365.
• 8.Lu S., et al. A model for optimizing spinning reserve requirement of power system under low-carbon economy. IEEE Transactions on Sustainable Energy, 5(4), 2014, 1048–1055.
• 9.Doherty R. and O’Malley M. A new approach to quantify reserve demand in systems with significant installed wind capacity. IEEE Transactions on Power Systems, 20(2), 2005, 587–595.
• 10.Siider L. Reserve margin planning in a wind-hydro-thermal power system. IEEE Transactions on Power Systems, 8(2), 1993, 564–571.
• 11.Ortega-Vazquez M. A. and Kirschen D. S. Estimating the spinning reserve requirements in systems with significant wind power generation penetration. IEEE Transactions on Power Systems, 24(1), 2009, 114–124.
• 12.Wang J., Shahidehpour M. and Li Z. Security-constrained unit commitment with volatile wind power generation. IEEE Transactions on Power Systems, 23(3), 2008, 1319–1327.
• 13.Leite Da Silva A. M., et al. Long-term probabilistic evaluation of operating reserve requirements with renewable sources. IEEE Transactions on Power Systems, 25(1), 2010, 106–116.
• 14.Billinton R., et al. Unit commitment risk analysis of wind integrated power systems. IEEE Transactions on Power Systems, 24(2), 2009, 930–939.
• 15.Khalilzadeh E., Fotuhi-Firuzabad M. and Ghaedi A. Reliability modeling of run-of the-river power plants in power system adequacy studies. IEEE Transactions on Sustainable Energy, 5(4), 2014, 1278–1286.
• 16.Billinton R. and Allan R. N. Reliability evaluation of engineering systems. plenum press, second edition, London, 1992.
• 17.Billinton R. and Fotuhi-Firuzabad M. A basic framework for generating system operating health analysis. IEEE Transactions on Power Systems, 9(3), 1994, 1610–1617.
• 18.Billinton R., et al. A reliability test system for educational purposes-basic data. Power Engineering Review, IEEE, 9(8), 1989, 67–68.
• 19.Reliability Test System Task Force of the Application of Probability Methods subcommittee. IEEE reliability test system, IEEE Transactions Power Applications System, 98(6), 1979, 2047–2054.

Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017)