Guerrero-Mestre, V. and Contreras, J. (2016) Stochastic Unit Commitment Considering Start-Up and Shut-Down Trajectories. IEEE Power and Energy Society General Meeting (PESGM), Boston, 17-21 July 2016, 1-5.
https://doi.org/10.1109/PESGM.2016.7741655

has been cited by the following article:

• TITLE: The Linear Formulation of Thermal Unit Commitment Problem with Uncertainties through a Computational Mixed Integer

  AUTHORS: Mian Khuram Ahsan, Tianhong Pan, Zhengming Li

  KEYWORDS: Thermal Generating Unit, MILP (Mixed Integer Linear Programming), Unit Commitment

  JOURNAL NAME: Journal of Power and Energy Engineering, Vol.6 No.6, June 20, 2018

  ABSTRACT: The solar and wind renewable energy is developing very rapidly to fulfill the energy gap. This specific increasing share of renewable energy is a reaction to the ecological trepidations to conciliate economics with security due to the new challenges in power system supply. In solar and wind renewable energy, the only partially predictable is the output with very low controllability which creates unit commitment problems in thermal units. In this research paper, a different linear formulation via mixed integer is presented that only requires “binary variables” and restraints concerning earlier stated models. The framework of this model allows precisely the costs of time-dependent startup & intertemporal limitations, for example, minimum up & down times and a ramping limit. To solve the unit commitment problem efficiently, a commercially available linear programming of mixed-integer is applied for sizeable practical scale. The results of the simulation are shown in conclusions.