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Comparative Assessment of Priority Listing and Mixed Integer Linear Programming Unit Commitment Methods for Non-Interconnected Island Systems

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  • Georgios N. Psarros

    (School of Electrical and Computer Engineering, National Technical University of Athens (NTUA), 15780 Athens, Greece)

  • Stavros A. Papathanassiou

    (School of Electrical and Computer Engineering, National Technical University of Athens (NTUA), 15780 Athens, Greece)

Abstract

The generation management concept for non-interconnected island (NII) systems is traditionally based on simple, semi-empirical operating rules dating back to the era before the massive deployment of renewable energy sources (RES), which do not achieve maximum RES penetration, optimal dispatch of thermal units and satisfaction of system security criteria. Nowadays, more advanced unit commitment (UC) and economic-dispatch (ED) approaches based on optimization techniques are gradually introduced to safeguard system operation against severe disturbances, to prioritize RES participation and to optimize dispatch of the thermal generation fleet. The main objective of this paper is to comparatively assess the traditionally applied priority listing (PL) UC method and a more sophisticated mixed integer linear programming (MILP) UC optimization approach, dedicated to NII power systems. Additionally, to facilitate the comparison of the UC approaches and quantify their impact on systems security, a first attempt is made to relate the primary reserves capability of each unit to the maximum acceptable frequency deviation at steady state conditions after a severe disturbance and the droop characteristic of the unit’s speed governor. The fundamental differences between the two approaches are presented and discussed, while daily and annual simulations are performed and the results obtained are further analyzed.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:4:p:657-:d:206930
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    Cited by:

    1. Pantelis A. Dratsas & Georgios N. Psarros & Stavros A. Papathanassiou, 2021. "Battery Energy Storage Contribution to System Adequacy," Energies, MDPI, vol. 14(16), pages 1-22, August.
    2. Nikolaidis, Pavlos & Poullikkas, Andreas, 2021. "A novel cluster-based spinning reserve dynamic model for wind and PV power reinforcement," Energy, Elsevier, vol. 234(C).
    3. 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.
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    5. Stelios Loumakis & Evgenia Giannini & Zacharias Maroulis, 2019. "Renewable Energy Sources Penetration in Greece: Characteristics and Seasonal Variation of the Electricity Demand Share Covering," Energies, MDPI, vol. 12(12), pages 1-20, June.

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