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Effects of Producer and Transmission Reliability on the Sustainability Assessment of Power System Networks

Author

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  • Jose R. Vargas-Jaramillo

    (Department of Mechanical Engineering, Universidad de Guanajuato, Salamanca, GTO 36885, Mexico)

  • Jhon A. Montanez-Barrera

    (Department of Mechanical Engineering, Universidad de Guanajuato, Salamanca, GTO 36885, Mexico)

  • Michael R. von Spakovsky

    (Department of Mechanical Engineering, Virginia Tech, Blacksburg, VA 24061, USA)

  • Lamine Mili

    (Bradley Department of Electrical and Computer Engineering, Northern Virginia Center, Virginia Tech, Falls Church, VA 22043, USA)

  • Sergio Cano-Andrade

    (Department of Mechanical Engineering, Universidad de Guanajuato, Salamanca, GTO 36885, Mexico)

Abstract

Details are presented of the development and incorporation of a generation and transmission reliability approach in an upper-level sustainability assessment framework for power system planning. This application represents a quasi-stationary, multiobjective optimization problem with nonlinear constraints, load uncertainties, stochastic effects for renewable energy producers, and the propagation of uncertainties along the transmission lines. The Expected Energy Not Supplied (EENS) accounts for generation and transmission reliability and is based on a probabilistic as opposed to deterministic approach. The optimization is developed for three scenarios. The first excludes uncertainties in the load demand, while the second includes them. The third scenario accounts not only for these uncertainties, but also for the stochastic effects related to wind and photovoltaic producers. The sustainability-reliability approach is applied to the standard IEEE Reliability Test System. Results show that using a Mixture of Normals Approximation (MONA) for the EENS formulation makes the reliability analysis simpler, as well as possible within a large-scale optimization. In addition, results show that the inclusion of renewable energy producers has some positive impact on the optimal synthesis/design of power networks under sustainability considerations. Also shown is the negative impact of renewable energy producers on the reliability of the power network.

Suggested Citation

  • Jose R. Vargas-Jaramillo & Jhon A. Montanez-Barrera & Michael R. von Spakovsky & Lamine Mili & Sergio Cano-Andrade, 2019. "Effects of Producer and Transmission Reliability on the Sustainability Assessment of Power System Networks," Energies, MDPI, vol. 12(3), pages 1-21, February.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:3:p:546-:d:204660
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    References listed on IDEAS

    as
    1. Kjølle, G.H. & Utne, I.B. & Gjerde, O., 2012. "Risk analysis of critical infrastructures emphasizing electricity supply and interdependencies," Reliability Engineering and System Safety, Elsevier, vol. 105(C), pages 80-89.
    2. Eser, Patrick & Singh, Antriksh & Chokani, Ndaona & Abhari, Reza S., 2016. "Effect of increased renewables generation on operation of thermal power plants," Applied Energy, Elsevier, vol. 164(C), pages 723-732.
    3. Quashie, Mike & Marnay, Chris & Bouffard, François & Joós, Géza, 2018. "Optimal planning of microgrid power and operating reserve capacity," Applied Energy, Elsevier, vol. 210(C), pages 1229-1236.
    4. Samet Ozturk & Vasilis Fthenakis & Stefan Faulstich, 2018. "Assessing the Factors Impacting on the Reliability of Wind Turbines via Survival Analysis—A Case Study," Energies, MDPI, vol. 11(11), pages 1-20, November.
    5. Lo Prete, Chiara & Hobbs, Benjamin F. & Norman, Catherine S. & Cano-Andrade, Sergio & Fuentes, Alejandro & von Spakovsky, Michael R. & Mili, Lamine, 2012. "Sustainability and reliability assessment of microgrids in a regional electricity market," Energy, Elsevier, vol. 41(1), pages 192-202.
    6. Sansavini, G. & Piccinelli, R. & Golea, L.R. & Zio, E., 2014. "A stochastic framework for uncertainty analysis in electric power transmission systems with wind generation," Renewable Energy, Elsevier, vol. 64(C), pages 71-81.
    7. Veldhuis, Anton Johannes & Leach, Matthew & Yang, Aidong, 2018. "The impact of increased decentralised generation on the reliability of an existing electricity network," Applied Energy, Elsevier, vol. 215(C), pages 479-502.
    8. Lin, Jin & Sun, Yuan-zhang & Cheng, Lin & Gao, Wen-zhong, 2012. "Assessment of the power reduction of wind farms under extreme wind condition by a high resolution simulation model," Applied Energy, Elsevier, vol. 96(C), pages 21-32.
    9. Huiru Zhao & Sen Guo, 2015. "External Benefit Evaluation of Renewable Energy Power in China for Sustainability," Sustainability, MDPI, vol. 7(5), pages 1-23, April.
    10. Zixu Liu & Xiaojun Zeng & Fanlin Meng, 2018. "An Integration Mechanism between Demand and Supply Side Management of Electricity Markets," Energies, MDPI, vol. 11(12), pages 1-23, November.
    11. Hong, Lixuan & Lund, Henrik & Möller, Bernd, 2012. "The importance of flexible power plant operation for Jiangsu's wind integration," Energy, Elsevier, vol. 41(1), pages 499-507.
    12. Gerd Kjølle & Oddbjørn Gjerde, 2012. "Risk Analysis of Electricity Supply," Springer Series in Reliability Engineering, in: Per Hokstad & Ingrid B. Utne & Jørn Vatn (ed.), Risk and Interdependencies in Critical Infrastructures, edition 127, chapter 0, pages 95-108, Springer.
    13. Akhavein, Ali & Porkar, Babak, 2017. "A composite generation and transmission reliability test system for research purposes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 331-337.
    14. Cadini, Francesco & Agliardi, Gian Luca & Zio, Enrico, 2017. "A modeling and simulation framework for the reliability/availability assessment of a power transmission grid subject to cascading failures under extreme weather conditions," Applied Energy, Elsevier, vol. 185(P1), pages 267-279.
    15. Tzu-Yu Lin & Sheng-Hsiung Chiu, 2018. "Sustainable Performance of Low-Carbon Energy Infrastructure Investment on Regional Development: Evidence from China," Sustainability, MDPI, vol. 10(12), pages 1-21, December.
    16. Sanna Uski & Kim Forssén & Jari Shemeikka, 2018. "Sensitivity Assessment of Microgrid Investment Options to Guarantee Reliability of Power Supply in Rural Networks as an Alternative to Underground Cabling," Energies, MDPI, vol. 11(10), pages 1-12, October.
    17. Zhou, P. & Jin, R.Y. & Fan, L.W., 2016. "Reliability and economic evaluation of power system with renewables: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 537-547.
    18. Sanstad, Alan H. & McMenamin, Stuart & Sukenik, Andrew & Barbose, Galen L. & Goldman, Charles A., 2014. "Modeling an aggressive energy-efficiency scenario in long-range load forecasting for electric power transmission planning," Applied Energy, Elsevier, vol. 128(C), pages 265-276.
    19. Wang, Fei & Xu, Hanchen & Xu, Ti & Li, Kangping & Shafie-khah, Miadreza & Catalão, João. P.S., 2017. "The values of market-based demand response on improving power system reliability under extreme circumstances," Applied Energy, Elsevier, vol. 193(C), pages 220-231.
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    Cited by:

    1. Andrea Lazzaretto & Andrea Toffolo, 2019. "Optimum Choice of Energy System Configuration and Storages for a Proper Match between Energy Conversion and Demands," Energies, MDPI, vol. 12(20), pages 1-6, October.
    2. Oracio I. Barbosa-Ayala & Jhon A. Montañez-Barrera & Cesar E. Damian-Ascencio & Adriana Saldaña-Robles & J. Arturo Alfaro-Ayala & Jose Alfredo Padilla-Medina & Sergio Cano-Andrade, 2020. "Solution to the Economic Emission Dispatch Problem Using Numerical Polynomial Homotopy Continuation," Energies, MDPI, vol. 13(17), pages 1-15, August.

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