Probabilistic Evaluation of a Power System’s Reliability and Quality Measures

Abstract

Reliability and performance quality measures computed so far are deterministic in nature. They represent one operating state (a snapshot of the system conditions) in which the required demand and generation and transmission capacities are known with 100% certainty. In this paper, a general and coherent formulation is presented, which can be used to account for the randomness associated with the load level as well as the availability of generation and transmission capacities. The general probability formulation can be used to calculate various reliability indices and quality measures. The paper describes the new approach for computing probabilistic evaluation (expected value) of the reliability indices and performance quality measures and presents illustrative applications. The methodology used in this paper constitutes a new line of research in the probabilistic reliability evaluation of a system where the derived system-wide performance quality indices are capable of classifying and exhibitionistic areas of deficiencies, bottlenecks and redundancies in large-scale power grids.

Keywords: probabilistic reliability, evaluation, quality, power systems

Downloads

Download data is not yet available.

References

R. Billinton, E. Khan, “A security based approach to composite power system reliability evaluation”, IEEE Transactions on Power Systems, Vol. 7, No. 1, pp. 65-72, 1992 DOI: https://doi.org/10.1109/59.141688

M. A. El-Kady, B. M. Alshammary, “A practical framework for reliability and quality assessment of power systems”, Journal of Energy and Power Engineering, Vol. 3, No. 4, pp. 499-507, 2011 DOI: https://doi.org/10.4236/epe.2011.34060

H. Jun, Y. Zhao, P. Lindsay, P. Kit, “Flexible transmission expansion planning with uncertainties in an electricity market”, IEEE Transactions on Power Systems, Vol. 24, No. 1, pp. 479-488, 2009 DOI: https://doi.org/10.1109/TPWRS.2008.2008681

S. D Torre, A. J. Conejo, J. Contreras, “Transmission expansion planning in electricity markets”, IEEE Transactions on Power Systems, Vol. 23, No. 1, pp. 238-248, 2008 DOI: https://doi.org/10.1109/TPWRS.2007.913717

B. M. Alshammari, “Assessment of reliability and quality performance using impact of shortfall generation capacity index on power systems”, Engineering, Technology & Applied Science Research, Vol. 9, No. 6, pp. 4937-4941, 2019 DOI: https://doi.org/10.48084/etasr.3190

D. O. Koval, A. A. Chowdhury, “Outage data concepts for generation and transmission equipment”, IEEE Power Engineering Society General Meeting, Montreal, Canada, June 18-22, 2006 DOI: https://doi.org/10.1109/PES.2006.1709453

M. A. El-Kady, B. A. Alaskar, A. M. Shaalan, B. M. Al-Shammri, “Composite reliability and quality assessment of interconnected power systems”, International Journal for Computation and Mathematic in Electrical and Electronic Engineering, Vol. 26, No. 1, Article ID SSD05-PES-12, 2007 DOI: https://doi.org/10.1108/03321640710713930

B. M. Alshammari, M. A. El-Kady, Y. A. Al-Turki, “Computer-aided optimization of power system performance quality indices”, 3rd Global Conference on Power Control and Optimization, Gold Coast, Australia, February 2-4, 2010

B. M. Alshammari, M. A. El-Kady, Y. A. Al-Turki, “Power system performance quality indices”, European Transactions on Electrical Power, Vol. 21, No. 5, pp. 1704–1710, 2011 DOI: https://doi.org/10.1002/etep.515

O. Kahouli, B. Ashammari., K. Sebaa, M. Jebali, H. Hadj Abdallah “Type-2 fuzzy logic controller based PSS for large scale power systems stability”, Engineering, Technology & Applied Science Research, Vol. 8, No. 5, pp. 3380-3386, 2018 DOI: https://doi.org/10.48084/etasr.2234

P. Jirutitijaroen, C. Singh, “Reliability constrained multi-area adequacy planning using stochastic programming with sample-average approximations”, IEEE Transactions on Power Systems, Vol. 23, No. 2, pp. 405-513, 2008 DOI: https://doi.org/10.1109/TPWRS.2008.919422

R. Billinton, D. Huang, “Effects of load forecast uncertainty on bulk electric system reliability evaluation”, IEEE Transactions on Power Systems, Vol. 23, No. 2, pp. 418-425, 2008 DOI: https://doi.org/10.1109/TPWRS.2008.920078

M. de Jong, G. Papaefthymiou, P. Palensky, “A framework for incorporation of infeed uncertainty in power system risk-based security assessment”, IEEE Transactions on Power Systems, Vol. 33, No. 1, pp. 613–621, 2018

B. M. Alshammari, M. A. El-Kady, “Probabilistic assessment of power system performance quality”, Journal of Energy and Power Engineering, Vol. 4, No. 5, pp. 372-379, 2012 DOI: https://doi.org/10.4236/epe.2012.45049

S. Gope, A. K. Goswami, P. K. Tiwari, “Transmission congestion management using a wind integrated compressed air energy storage system”, Engineering, Technology & Applied Science Research, Vol. 7, No. 4, pp. 1746-1752, 2017 DOI: https://doi.org/10.48084/etasr.1316

M. de Jong, G. Papaefthymiou, P. Palensky, “A framework for incorporation of infeed uncertainty in power system risk-based security assessment”, IEEE Transactions on Power Systems, Vol. 33, No. 1, pp. 613–621, 2018

B. M. Alshammari. “Evaluation of power system reliability levels for (N-1) outage contingency”, International Journal of Advanced and Applied Sciences, Vol. 6, No. 11, pp. 68-74, 2019 DOI: https://doi.org/10.21833/ijaas.2019.11.009

E. Tomasson, L. Soder, “Improved importance sampling for reliability evaluation of composite power systems”, IEEE Transactions on Power Systems, Vol. 32, No. 3, pp. 2426–2434, 2017 DOI: https://doi.org/10.1109/TPWRS.2016.2614831

M. de Jong, G. Papaefthymiou, P. Palensky, “A framework for incorporation of infeed uncertainty in power system risk-based security assessment”, IEEE Transactions on Power Systems, Vol. 33, No. 1, pp. 613–621, 2018 DOI: https://doi.org/10.1109/TPWRS.2017.2687983

R. Billinton, R. N. Allan, Reliability assessment of large electric power systems, Kluwer Acadmic Publisher, 1988 DOI: https://doi.org/10.1007/978-1-4613-1689-3

Metrics

Abstract Views: 273
PDF Downloads: 165

Metrics Information
Bookmark and Share

Most read articles by the same author(s)