Volume 7, Issue 6 (June 2020), Pages: 6-14
Original Research Paper
Title: Novel assessment of power system reserve-based on the reliability and quality levels
Author(s): Badr M. Alshammari 1, *, Abdullah M. Al-Shaalan 2
1Department of Electrical Engineering, College of Engineering, University of Hail, Hail, Saudi Arabia
2Department of Electrical Engineering, College of Engineering, King Saud University, Riyadh, Saudi Arabia
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* Corresponding Author.
Corresponding author's ORCID profile: https://orcid.org/0000-0001-6819-3695
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This paper presents a novel framework for the assessment of reliability and quality indices and the associated reserve levels in electric power systems. The developed technique takes into account the variations of demand and contingencies, which occur randomly, causing some units of generation, and/or transmission capacities to be lost. The evaluated reliability and quality measures, which are essential to assess the reserve capabilities of the power system for various operating scenarios, are probabilistic in nature. In fact, the value of demand levels, the capacity of the generation and transmission capacities are known with absolute certainty. The assessment of reliability and quality indices, in this paper, are subject to random variations and, consequently, as well as the calculated reliability indices are all subject to random variations where only expected values of these indices can be evaluated. This paper presents a novel assessment of the power system reserve-based on the reliability and quality levels. Practical applications are additionally exhibited, for demonstration purposes, to the Saudi electricity power networks.
© 2020 The Authors. Published by IASE.
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Power systems, Reliability evaluation, Performance quality, Probabilistic analysis
Article History: Received 12 December 2019, Received in revised form 1 March 2020, Accepted 2 March 2020
This work was supported by the University of Hail.
Compliance with ethical standards
Conflict of interest: The authors declare that they have no conflict of interest.
Alshammari BM and M. Al-Shaalan AM (2020). Novel assessment of power system reserve-based on the reliability and quality levels. International Journal of Advanced and Applied Sciences, 7(6): 6-14
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Table 1 Table 2
- Akhavein A and Firuzabad MF (2011). A heuristic-based approach for reliability importance assessment of energy producers. Energy Policy, 39(3): 1562-1568. https://doi.org/10.1016/j.enpol.2010.12.030 [Google Scholar]
- Alshammari BM (2018). Integrated renewable energy and load management strategies in power systems. International Journal of Advanced and Applied Sciences, 5(6): 79-87. https://doi.org/10.21833/ijaas.2018.06.012 [Google Scholar]
- Alshammari BM (2019). Evaluation of power system reliability levels for (N-1) outage contingency. International Journal of Advanced and Applied Sciences, 6(11): 68-74. https://doi.org/10.21833/ijaas.2019.11.009 [Google Scholar]
- Alshammari BM and El-Kady MA (2012). Probabilistic assessment of power system performance quality. Energy and Power Engineering, 4(5): 372-379. https://doi.org/10.4236/epe.2012.45049 [Google Scholar]
- Billinton R and Huang D (2008). Effects of load forecast uncertainty on bulk electric system reliability evaluation. IEEE Transactions on Power Systems, 23(2): 418-425. https://doi.org/10.1109/TPWRS.2008.920078 [Google Scholar]
- Cheon IT (2019). On the plug-in electric vehicles effects investigation in electricity marketing. Annals of Electrical and Electronic Engineering, 2(5): 6-13. https://doi.org/10.21833/AEEE.2019.05.002 [Google Scholar]
- Choi J, Mount TD, and Thomas RJ (2007). Transmission expansion planning using contingency criteria. IEEE Transactions on Power Systems, 22(4): 2249-2261. https://doi.org/10.1109/TPWRS.2007.908478 [Google Scholar]
- de Jong M, Papaefthymiou G, and Palensky P (2017). A framework for incorporation of infeed uncertainty in power system risk-based security assessment. IEEE Transactions on Power Systems, 33(1): 613-621. https://doi.org/10.1109/TPWRS.2017.2687983 [Google Scholar]
- El-Kady M, Alaskar B, Shaalan A, and Al-Shammri B (2007). Composite reliability and quality assessment of interconnected power systems. International Journal for Computation and Mathematic in Electrical and Electronic Engineering 26: 7-21. https://doi.org/10.1108/03321640710713930 [Google Scholar]
- El-Kady MA and Alshammari BM (2011). A practical framework for reliability and quality assessment of power systems. Energy and Power Engineering, 3(04): 499-507. https://doi.org/10.4236/epe.2011.34060 [Google Scholar]
- El-Kady MA and Alshammari BM (2012). Assessment of reliability and quality levels in power systems. In the Asia-Pacific Power and Energy Engineering Conference, IEEE, Shanghai, China: 1-4. https://doi.org/10.1109/APPEEC.2012.6307706 [Google Scholar]
- El-Kady MA, El-Sobki MS, and Sinha NK (1985). Loss of load probability evaluation based on real-time emergency dispatch. Canadian Electrical Engineering Journal, 10(2): 57-60. https://doi.org/10.1109/CEEJ.1985.6592019 [Google Scholar]
- El-Kady MA, El-Sobki MS, and Sinha NK (1986). Reliability evaluation for optimally operated, large, electric power systems. IEEE Transactions on Reliability, 35(1): 41-47. https://doi.org/10.1109/TR.1986.4335340 [Google Scholar]
- Goel L and Low LS (2001). Incorporating generator scheduling in composite power system well-being analysis. In the 2001 IEEE Porto Power Tech Proceedings, IEEE, Porto, Portugal. https://doi.org/10.1109/PTC.2001.964879 [Google Scholar]
- Jirutitijaroen P and Singh C (2008). Reliability constrained multi-area adequacy planning using stochastic programming with sample-average approximations. IEEE Transactions on Power Systems, 23(2): 504-513. https://doi.org/10.1109/TPWRS.2008.919422 [Google Scholar]
- Kolisnyk I, Oliynyk D, and Ponomarenko A (2019). On the reliability of electric power supply of electrical receiver in the electric networks. Annals of Electrical and Electronic Engineering, 2(4): 1-7. https://doi.org/10.21833/AEEE.2019.04.001 [Google Scholar]
- Pérez-Londoño SM, Olivar-Tost G, and Mora-Florez JJ (2017). Online determination of voltage stability weak areas for situational awareness improvement. Electric Power Systems Research, 145: 112-121. https://doi.org/10.1016/j.epsr.2016.12.026 [Google Scholar]
- Teh J, Lai CM, and Cheng YH (2017). Impact of the real-time thermal loading on the bulk electric system reliability. IEEE Transactions on Reliability, 66(4): 1110-1119. https://doi.org/10.1109/TR.2017.2740158 [Google Scholar]
- Wilson K and Wang J (2019). Optimized artificial neural network method for underground cables fault classification. Annals of Electrical and Electronic Engineering, 2(9): 18-24. https://doi.org/10.21833/AEEE.2019.09.004 [Google Scholar]
- Zhao JH, Dong ZY, Lindsay P, and Wong KP (2009). Flexible transmission expansion planning with uncertainties in an electricity market. IEEE Transactions on Power Systems, 24(1): 479-488. https://doi.org/10.1109/TPWRS.2008.2008681 [Google Scholar]