A rolling-horizon optimization algorithm for the long term operational scheduling of cogeneration systems

Aldo Bischi, Leonardo Taccari, Emanuele Martelli, Edoardo Amaldi, Giampaolo Manzolini, Paolo Silva, Stefano Campanari and Ennio Macchi

Energy, 2019, vol. 184, issue C, 73-90

Abstract: A rolling-horizon algorithm is proposed for optimizing the operating schedule of a given cogeneration energy system while taking into account time-variable loads, tariffs and ambient conditions, as well as yearly fiscal incentives. The presented algorithm is based on the Mixed Integer Linear Programming (MILP) model developed by the authors for optimizing the daily schedule of cogeneration systems and networks of heat and power plants.

Keywords: Combined heat and power (CHP); Optimal scheduling; Fiscal incentives; MILP; Heat storage; Rolling-horizon; Predictive strategy (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (13)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:184:y:2019:i:c:p:73-90

DOI: 10.1016/j.energy.2017.12.022

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