Multi-process production scheduling with variable renewable integration and demand response

José Luis Ruiz Duarte, Neng Fan and Tongdan Jin

European Journal of Operational Research, 2020, vol. 281, issue 1, 186-200

Abstract: Integrating renewable energy sources to power manufacturing facilities is one approach to achieve low carbon economy. The contribution of this paper is to propose a way to facilitate and assess renewable sources’ integration into manufacturing systems, by exploring an optimization model that obtains a production schedule adapted to match the onsite renewable energy supply, with energy storage systems and the power grid as backups. A multi-process production scheme as well as demand side management policies such as Time-and-Level-of-Use and power consumption reduction requests are considered. To capture renewable uncertainties, a two-stage robust optimization model is formulated to optimize the production scheduling under the worst-case scenario of renewable generation. A nested Column-and-Constraint Generation algorithm is applied to solve this formulation. Numerical experiments are performed on a benchmark case, and sensitivity analysis is conducted by modifying renewable integration, uncertainty, data granularity, scheduling horizon, switch of on-peak prices hours, and zero-inventory policy. Obtained results validate the proposed model and algorithm.

Keywords: OR in energy; Production scheduling; Demand response; Onsite renewables; Robust optimization (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (14)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:281:y:2020:i:1:p:186-200

DOI: 10.1016/j.ejor.2019.08.017

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