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Evaluating the impact of sub-hourly unit commitment method on spinning reserve in presence of intermittent generators

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  • Kazemi, Mehdi
  • Siano, Pierluigi
  • Sarno, Debora
  • Goudarzi, Arman

Abstract

This paper presents an algorithm to deal with thermal Unit Commitment which takes into account the intermittency and volatility of the renewable energies such as wind and solar energies. Dynamic Programming (DP) integrating Priority Listing order (PL) based on Best Per Unit Cost (BP) was applied to commit the thermal units in an isolated island with generators based on renewable sources. In this work, the effects of a high time resolutions such as 60, 30, 15, 10 and 5 min on production costs, reserves and intermittent generators are investigated. In order to demonstrate the capability of the proposed algorithm, two cases were studied. Firstly, a test system composed of ten diesel generators, three wind turbines and one Photovoltaic (PV) power plant is examined and then the IEEE 118-bus test system, integrating wind and PV power plants, is considered. The presented simulation results show that a proper schedule for each generation unit can be reached at a time resolution closer to real time unit commitment and economic dispatch while a high level of reliability can be guaranteed by assuring practical constraints fulfillment.

Suggested Citation

  • Kazemi, Mehdi & Siano, Pierluigi & Sarno, Debora & Goudarzi, Arman, 2016. "Evaluating the impact of sub-hourly unit commitment method on spinning reserve in presence of intermittent generators," Energy, Elsevier, vol. 113(C), pages 338-354.
  • Handle: RePEc:eee:energy:v:113:y:2016:i:c:p:338-354
    DOI: 10.1016/j.energy.2016.07.050
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    References listed on IDEAS

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    1. Huber, Matthias & Dimkova, Desislava & Hamacher, Thomas, 2014. "Integration of wind and solar power in Europe: Assessment of flexibility requirements," Energy, Elsevier, vol. 69(C), pages 236-246.
    2. Deane, J.P. & Drayton, G. & Ó Gallachóir, B.P., 2014. "The impact of sub-hourly modelling in power systems with significant levels of renewable generation," Applied Energy, Elsevier, vol. 113(C), pages 152-158.
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    5. Wang, Jiadong & Wang, Jianhui & Liu, Cong & Ruiz, Juan P., 2013. "Stochastic unit commitment with sub-hourly dispatch constraints," Applied Energy, Elsevier, vol. 105(C), pages 418-422.
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    Citations

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    Cited by:

    1. Kyu-Hyung Jo & Mun-Kyeom Kim, 2018. "Stochastic Unit Commitment Based on Multi-Scenario Tree Method Considering Uncertainty," Energies, MDPI, vol. 11(4), pages 1-17, March.
    2. Omoyele, Olalekan & Hoffmann, Maximilian & Koivisto, Matti & Larrañeta, Miguel & Weinand, Jann Michael & Linßen, Jochen & Stolten, Detlef, 2024. "Increasing the resolution of solar and wind time series for energy system modeling: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
    3. Goudarzi, Arman & Viray, Z.N.C. & Siano, Pierluigi & Swanson, Andrew G. & Coller, John V. & Kazemi, Mehdi, 2017. "A probabilistic determination of required reserve levels in an energy and reserve co-optimized electricity market with variable generation," Energy, Elsevier, vol. 130(C), pages 258-275.
    4. Georgios N. Psarros & Stavros A. Papathanassiou, 2019. "Comparative Assessment of Priority Listing and Mixed Integer Linear Programming Unit Commitment Methods for Non-Interconnected Island Systems," Energies, MDPI, vol. 12(4), pages 1-23, February.
    5. Psarros, Georgios N. & Nanou, Sotirios I. & Papaefthymiou, Stefanos V. & Papathanassiou, Stavros A., 2018. "Generation scheduling in non-interconnected islands with high RES penetration," Renewable Energy, Elsevier, vol. 115(C), pages 338-352.
    6. Woo-Jung Kim & Yu-Seok Lee & Yeong-Han Chun & Hae-Seong Jeong, 2022. "Reserve-Constrained Unit Commitment Considering Adjustable-Speed Pumped-Storage Hydropower and Its Economic Effect in Korean Power System," Energies, MDPI, vol. 15(7), pages 1-23, March.
    7. Goudarzi, Arman & Swanson, Andrew G. & Van Coller, John & Siano, Pierluigi, 2017. "Smart real-time scheduling of generating units in an electricity market considering environmental aspects and physical constraints of generators," Applied Energy, Elsevier, vol. 189(C), pages 667-696.
    8. Talaat, M. & Elkholy, M.H. & Farahat, M.A., 2020. "Operating reserve investigation for the integration of wave, solar and wind energies," Energy, Elsevier, vol. 197(C).
    9. Psarros, Georgios N. & Papathanassiou, Stavros A., 2023. "Generation scheduling in island systems with variable renewable energy sources: A literature review," Renewable Energy, Elsevier, vol. 205(C), pages 1105-1124.
    10. Mansourshoar, Paria & Yazdankhah, Ahmad Sadeghi & Vatanpour, Mohsen & Mohammadi-Ivatloo, Behnam, 2022. "Impact of implementing a price-based demand response program on the system reliability in security-constrained unit commitment problem coupled with wind farms in the presence of contingencies," Energy, Elsevier, vol. 255(C).

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