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A composite metric for assessing flexibility available in conventional generators of power systems

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  • Oree, Vishwamitra
  • Sayed Hassen, Sayed Z.

Abstract

With increasing levels of integration of intermittent renewable energy in the power grid, it has become essential for power system planners to quantify future requirements of power systems in terms of flexibility. It is also equally important to evaluate whether the flexibility available in a given power system is adequate to meet more frequent and larger variations in the net load. In this paper, we present a novel framework to develop a composite metric that provides an accurate assessment of flexibility within conventional generators of a power system. This assessment is performed using eight technical characteristics of generating units as indicators. An Analytic Hierarchy Process is applied to assign weights to these indicators in order to reflect their relative importance in the supply of flexibility. Following normalization with min–max method, the indicators are linearly aggregated to give the composite flexibility index for each generator. The proposed methodology is tested on an adapted IEEE RTS-96 system. Our results demonstrate the consistency of the composite flexibility metric. It is further observed that the proposed metric is adaptive since it automatically adjusts to the addition and/or removal of generating units. To evaluate the robustness of the proposed framework, we also performed sensitivity and uncertainty analysis in the presence of alternative methodological choices in the composite metric construction process.

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  • Oree, Vishwamitra & Sayed Hassen, Sayed Z., 2016. "A composite metric for assessing flexibility available in conventional generators of power systems," Applied Energy, Elsevier, vol. 177(C), pages 683-691.
  • Handle: RePEc:eee:appene:v:177:y:2016:i:c:p:683-691
    DOI: 10.1016/j.apenergy.2016.05.138
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    3. Oree, Vishwamitra & Sayed Hassen, Sayed Z. & Fleming, Peter J., 2019. "A multi-objective framework for long-term generation expansion planning with variable renewables," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    4. Heydarian-Forushani, E. & Golshan, M.E.H. & Siano, Pierluigi, 2017. "Evaluating the benefits of coordinated emerging flexible resources in electricity markets," Applied Energy, Elsevier, vol. 199(C), pages 142-154.
    5. Barnabé Walheer, 2018. "Decomposing the Europe 2020 Index," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 140(3), pages 875-905, December.
    6. Morales-España, Germán & Ramírez-Elizondo, Laura & Hobbs, Benjamin F., 2017. "Hidden power system inflexibilities imposed by traditional unit commitment formulations," Applied Energy, Elsevier, vol. 191(C), pages 223-238.
    7. Zhao, Yongliang & Wang, Chaoyang & Liu, Ming & Chong, Daotong & Yan, Junjie, 2018. "Improving operational flexibility by regulating extraction steam of high-pressure heaters on a 660 MW supercritical coal-fired power plant: A dynamic simulation," Applied Energy, Elsevier, vol. 212(C), pages 1295-1309.
    8. Cany, C. & Mansilla, C. & Mathonnière, G. & da Costa, P., 2018. "Nuclear contribution to the penetration of variable renewable energy sources in a French decarbonised power mix," Energy, Elsevier, vol. 150(C), pages 544-555.
    9. Abdin, Islam F. & Zio, Enrico, 2018. "An integrated framework for operational flexibility assessment in multi-period power system planning with renewable energy production," Applied Energy, Elsevier, vol. 222(C), pages 898-914.
    10. Perera, A.T.D. & Nik, Vahid M. & Wickramasinghe, P.U. & Scartezzini, Jean-Louis, 2019. "Redefining energy system flexibility for distributed energy system design," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    11. Heggarty, Thomas & Bourmaud, Jean-Yves & Girard, Robin & Kariniotakis, Georges, 2020. "Quantifying power system flexibility provision," Applied Energy, Elsevier, vol. 279(C).
    12. Saleh Abujarad & Mohd Wazir Mustafa & Jasrul Jamani Jamian & Abdirahman M. Abdilahi & Jeroen D. M. De Kooning & Jan Desmet & Lieven Vandevelde, 2020. "An Adjusted Weight Metric to Quantify Flexibility Available in Conventional Generators for Low Carbon Power Systems," Energies, MDPI, Open Access Journal, vol. 13(21), pages 1-19, October.
    13. Zhao, Yongliang & Liu, Ming & Wang, Chaoyang & Li, Xin & Chong, Daotong & Yan, Junjie, 2018. "Increasing operational flexibility of supercritical coal-fired power plants by regulating thermal system configuration during transient processes," Applied Energy, Elsevier, vol. 228(C), pages 2375-2386.
    14. Neshumayev, Dmitri & Rummel, Leo & Konist, Alar & Ots, Arvo & Parve, Teet, 2018. "Power plant fuel consumption rate during load cycling," Applied Energy, Elsevier, vol. 224(C), pages 124-135.

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