4.7 Article

Time-Adaptive Unit Commitment

Journal

IEEE TRANSACTIONS ON POWER SYSTEMS
Volume 34, Issue 5, Pages 3869-3878

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TPWRS.2019.2903486

Keywords

Clustering techniques; economic dispatch; renewable generation; unit commitment

Funding

  1. Spanish Ministry of Economy, Industry and Competitiveness [ENE2016-80638-R, ENE2017-83775-P]
  2. European Research Council under the EU Horizon 2020 Research and Innovation Programme [755705]
  3. Research Program for Young Talented Researchers of the University of Malaga [PPIT-UMA-B1-2017/18]

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The short-term operation of a power system is usually planned by solving a day-ahead unit commitment problem. Because of historical reasons, the commitment of power generating units is decided over a time horizon typically consisting of the 24 hourly periods of a day. In this paper, we show that, as a result of the increasing penetration of intermittent renewable generation, this somewhat arbitrary and artificial division of time may prove to be significantly suboptimal and counterproductive. Instead, we propose a time-adaptive day-ahead unit commitment formulation that better captures the net-demand variability throughout the day. The proposed formulation provides the commitment and dispatch of thermal generating units over a set of 24 time periods too, but with different duration. To do that, we use a clustering procedure to select the duration of those adaptive time periods taking into account the renewable generation and demand forecasts. Numerical results show that, without increasing the computational burden, the proposed time-adaptive unit commitment allows us for a more efficient use of the system flexibility, which translates into a lower operating cost and a higher penetration of renewable production than those achieved by a conventional hourly unit commitment problem.

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