WELL-BEING APPROACH OF A POWER SYSTEM CONTAINING RUN-OF-THE-RIVER POWER PLANTS

Subject Areas :

Esmail Khalilzadeh ¹

1 - Depatment of Electrical and Computer Engineering, Arsanjan Branch, Islamic Azad University, Arsanjan, Iran

Received: 2024-02-14 Accepted : 2024-04-09 Published : 2024-06-17

Keywords: Operating reserve, run-of the-river (ROR) power plants, spinning reserve, uncertainty, water flow, well-being approach,

Abstract :

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. For this purpose, a comprehensive reliability model of ROR units considering both associated components failure rates and uncertainty nature of the output power resulted from the variability in the water flow is developed and multi-state model for these resources is obtained based on the Fuzzy c-means clustering method (FCM) approach. 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, i.e., RBTS and IEEE-RTS, have been examined to demonstrate the effectiveness of the proposed reliability model. Also, these two reliability test systems, utilized from water flow data of Sheshpir River in Pars Province of Iran, are examined to demonstrate the ef­fectiveness of the proposed model

References:

[1] B. Zeng, and J. Zhang, “Integrated Planning for Transition to Low-Carbon Distribution System With Renewable Energy Generation and Demand Response,” IEEE Trans. Power Systems, vol. 29, no. 3, pp. 1153-1165, May. 2014.
[2] M. Moeini-Aghtaie, A. Abbaspour, and M. Fotuhi-Firuzabad, “Incorporating large-scale distant wind farms in probabilistic transmission expansion planning—Part I: Theory and algorithm,” IEEE Trans. Power Syst., vol. 27, no. 3, pp. 1585-1593, 2012.
[3] S. Kamalinia, L. Wu, and M. Shahidehpour, “Stochastic Midterm Coordination of Hydro and Natural Gas Flexibilities for Wind Energy Integration,” IEEE Trans. Sustainable Energy, vol. 5, no. 4, pp. 1070-1079, Oct. 2014.
[4] Q. Zhao, P. Wang, L. Goel, and Y. Ding, “Evaluation of nodal reliability risk in a deregulated power system with photovoltaic power penetration,” Generation, Transmission & Distribution, IET, vol. 8, no. 3, pp. 421-430, March. 2014.
[5] D. J. Burke, and M J. O’Malley “Maximizing Firm Wind Connection to Security Constrained Transmission Networks,” IEEE Trans. Power Syst., vol. 25, no. 2, pp. 749-759, May. 2010.
[6] A. Ghaedi, A. Abbaspour, M. Fotuhi-Firuzabad, and M. Moeini-Aghtaie, “Toward a Comprehensive Model of Large-Scale DFIG-Based Wind Farms in Adequacy Assessment of Power Systems,” IEEE Trans. Sustainable Energy, vol. 5, no. 1, pp. 55-63, Jan. 2014.
[7] H. R. Teymour, D. Sutanto, K. M. Muttaqi, and P. Ciufo, “Solar PV and Battery Storage Integration using a New Configuration of a Three-Level NPC Inverter With Advanced Control Strategy,” IEEE Trans. Energy Conversion, vol. 29, no. 2, pp. 354-365, June. 2014.
[8] S. Lu, Y. Wu, S. Lou, and X. Yin, “A Model for Optimizing Spinning Reserve Requirement of Power System Under Low-Carbon Economy,” IEEE Trans. Sustainable Energy, vol. 5, no. 4, pp. 1048-1055, Oct. 2014.
[9] R. Doherty, and M. O’Malley, “A New Approach to Quantify Reserve Demand in Systems with Significant Installed Wind Capacity” IEEE Trans. On power system, vol. 20, no. 2, pp. 587-595, May. 2005.
[10] L. Siider, “Reserve Margin Planning in a Wind-Hydro-Thermal Power System” IEEE Transactions on Power Systems, vol. 8, no. 2, pp. 564-571, May. 1993.
[11] M. A. Ortega-Vazquez, and D. S. Kirschen, “Estimating the Spinning Reserve Requirements in Systems with Significant Wind Power Generation Penetration” IEEE transaction on power system, vol. 24, no. 1, pp. 114-124, Feb. 2009.
[12] J. Wang, M. Shahidehpour, and Z. Li, “Security-Constrained Unit Commitment with Volatile Wind Power Generation” IEEE transaction on power system, vol. 23, no. 3, pp. 1319-1327, Aug. 2008.
[13] A. M. L. L. Da Silva, and W. S. Sales, “Long-Term Probabilistic Evaluation of Operating Reserve Requirements With Renewable Sources,” IEEE Trans. Power Systems, vol. 25, no. 1, pp. 106-116, Feb. 2010.
[14] R. Billinton, and B. Karki, “Unit Commitment Risk Analysis of Wind Integrated Power Systems,” IEEE Trans. Power Systems, vol. 24, no. 2, pp. 930-939, May. 2009.
[15] A. Nargeszar, A. Ghaedi, M. Nafar and M. Simab, “Reliability evaluation of the renewable energy-based microgrids considering resource variation”, IET Renewable Power Generation, vol. 17, no. 3, pp. 507-527, 2023.
[16] M.R. Negahdari, A. Ghaedi, M. Nafar and M. Simab, “Optimal planning of a microgrid containing tidal barrage equipped to the hydro-pumps”, IET Renewable Power Generation, vol. 17, no. 9, pp. 2215-2224, 2023.
[17] A. Ghaedi and H. Gorginpour, “Reliability evaluation of permanent magnet synchronous generator-based wind turbines considering wind speed variations”, Wind Energy, vol. 24, no. 11, pp. 1275-1293, 2021.
[18] A. Ghaedi and H. Gorginpour, “Spinning reserve scheduling in power systems containing wind and solar generations”, Electrical Engineering, vol. 103, pp. 2507–2526, 2021.
[19] A. Ghaedi and H. Gorginpour, “Reliability assessment of composite power systems containing sea wave slot-coned generators”, IET Renewable Power Generation, vol. 14, no. 16, pp.3172-3180, 2020.
[20] A. Ghaedi and M. Mirzadeh, “The impact of tidal height variation on the reliability of barrage-type tidal power plants”, International Transactions on Electrical Energy Systems, vol. 30, no. 9, 2020.
[21] M. Mirzadeh, M. Simab and A. Ghaedi, “Reliability Modeling of Reservoir-Based Tidal Power Plants for Determination of Spinning Reserve in Renewable Energy-based Power Systems”, Electric Power Components and Systems, vol. 47, no. 16-17, pp. 1534-1550, 2019.
[22] M. Mirzadeh, M. Simab and A. Ghaedi, “Adequacy studies of power systems with barrage-type tidal power plants”, IET Renewable Power Generation, vol. 13, no. 14, pp. 2612-2622, 2019.
[23] E. Khalilzadeh, M. Fotuhi-Firuzabad, and A. Ghaedi, “Reliability Modeling of Run-Of the-River Power Plants in Power System Adequacy Studies,” IEEE Trans. Sustainable Energy, vol. 5, no. 4, pp. 1278-1286, Oct. 2014.
[24] R. L. Cannon, V. D. Jitendra, and J. C. Bezdek, “Efficient Implementation of the Fuzzy c-Means Clustering Algorithms,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 8, no. 2, pp. 248-255, March. 1986.
[25] R. Billinton, and R. N. Allan, “Reliability Evaluation of Engineering Systems”, plenum press, second edition, London, 1992.
[26] R. Billinton, and S. Kumar, “A Reliability Test System for Educational Purposes-Basic Data,” Power Engineering Review, IEEE, vol. 9, no. 8, pp. 67-68, Aug. 1989.
[27] Reliability Test System Task Force of the Application of Probability Methods subcommittee, “IEEE reliability test system,” IEEE Trans. Power App. Syst., vol. 98, no. 6, pp. 2047–2054, Dec. 1979