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Energies 2017, 10(1), 140; doi:10.3390/en10010140

Stochastic and Deterministic Unit Commitment Considering Uncertainty and Variability Reserves for High Renewable Integration

Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
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Academic Editor: Gianfranco Chicco
Received: 13 December 2016 / Revised: 12 January 2017 / Accepted: 16 January 2017 / Published: 23 January 2017
(This article belongs to the Special Issue Advances in Power System Operations and Planning)
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Abstract

The uncertain and variable nature of renewable energy sources in modern power systems raises significant challenges in achieving the dual objective of reliable and economically efficient system operation. To address these challenges, advanced scheduling strategies have evolved during the past years, including the co-optimization of energy and reserves under deterministic or stochastic Unit Commitment (UC) modeling frameworks. This paper presents different deterministic and stochastic day-ahead UC formulations, with focus on the determination, allocation and deployment of reserves. An explicit distinction is proposed between the uncertainty and the variability reserve, capturing the twofold nature of renewable generation. The concept of multi-timing scheduling is proposed and applied in all UC policies, which allows for the optimal procurement of such reserves based on intra-hourly (real-time) intervals, when concurrently optimizing energy and commitments over hourly intervals. The day-ahead scheduling results are tested against different real-time dispatch regimes, with none or limited look-ahead capability, or with the use of the variability reserve, utilizing a modified version of the Greek power system. The results demonstrate the enhanced reliability achieved by applying the multi-timing scheduling concept and explicitly considering the variability reserve, and certain features regarding the allocation and deployment of reserves are discussed. View Full-Text
Keywords: deterministic programming; multi-timing scheduling; real-time dispatch; stochastic programming; uncertainty reserve; variability reserve; wind integration deterministic programming; multi-timing scheduling; real-time dispatch; stochastic programming; uncertainty reserve; variability reserve; wind integration
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MDPI and ACS Style

Marneris, I.G.; Biskas, P.N.; Bakirtzis, A.G. Stochastic and Deterministic Unit Commitment Considering Uncertainty and Variability Reserves for High Renewable Integration. Energies 2017, 10, 140.

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