Dynamic Ramping Model Including Intraperiod Ramp-Rate Changes in Unit Commitment

Journal Article (2017)
Author(s)

Carlos M. Correa-Posada (External organisation)

German Morales-España (TU Delft - DC systems, Energy conversion & Storage)

P. Dueñas Dueñas (Massachusetts Institute of Technology)

P. Sánchez-Martín (Comillas Pontifical University)

Research Group
DC systems, Energy conversion & Storage
Copyright
© 2017 Carlos M. Correa-Posada, G. Morales-Espana, Pablo Dueñas, Pedro Sánchez-Martín
DOI related publication
https://doi.org/10.1109/TSTE.2016.2578302
More Info
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Publication Year
2017
Language
English
Copyright
© 2017 Carlos M. Correa-Posada, G. Morales-Espana, Pablo Dueñas, Pedro Sánchez-Martín
Research Group
DC systems, Energy conversion & Storage
Issue number
1
Volume number
8
Pages (from-to)
43-50
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Abstract

The growing increase of renewable generation worldwide is posing new challenges for a secure, reliable and economic operation of power systems. In order to face the uncertain and intermittent production of renewable sources, operating reserves must be allocated efficiently and accurately. Nowadays, these reserves are mainly assigned to thermal units, especially gas-fired generators, due to their operation flexibility and fast response. However, the ramping capabilities of these units define the grade of flexibility offered to the system operation. In practical applications, ramping limits are dynamic, i.e., they are a function of the unit's generating output. Omitting this feature leads to suboptimal or even infeasible reserve allocations, thus increasing not only operating reserve requirements but also transactions in real-time balancing markets needed to back up deviations of renewable generation. This paper contributes with a mixed-integer linear programming model for units' dynamic ramping allowing intraperiod changes in the unit commitment problem. As a result, operating reserves are better allocated and the units' flexibility is managed more efficiently than traditional ramping models found in the literature. Different case studies illustrate the functioning and benefits of the proposed formulation.

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