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A Modified Unit Decommitment Algorithm in Combined Heat and Power Production Planning

Aiying Rong, Risto Lahdelma, A Modified Unit Decommitment Algorithm in Combined Heat and Power Production Planning. In: Proceedings of the 26th IASTED International Conference on Modelling, Identification, and Control (MIC 2007), 30-35, ACTA Press, 2007.

Abstract:

This paper addresses the unit commitment in multi-period combined heat and power (CHP) production planning, considering the possibility to trade power on the spot market. We present a modified unit decommitment algorithm (MUD) that starts with a good feasible initial solution generated by a heuristic procedure. The heuristic procedure utilizes both the Lagrangian relaxation principle to relax the system-wide (heat and power) demand constraints and a linear relaxation of the ON/OFF states of the plants. Numerical results with realistic power plants show that on the average MUD is somewhat more accurate (0.3-0.5%) than a generic unit decommitment algorithm and significantly more efficient (1.1-3 times faster) for different planning horizons.

BibTeX entry:

@INPROCEEDINGS{inpLaRo07a,
  title = {A Modified Unit Decommitment Algorithm in Combined Heat and Power Production Planning},
  booktitle = {Proceedings of the 26th IASTED International Conference on Modelling, Identification, and Control (MIC 2007)},
  author = {Rong, Aiying and Lahdelma, Risto},
  publisher = {ACTA Press},
  pages = {30-35},
  year = {2007},
  keywords = {Modelling, energy optimization, combined heat and power production, unit commitment, modified unit decommitment, deregulated power market},
}

Belongs to TUCS Research Unit(s): Algorithmics and Computational Intelligence Group (ACI)

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