A MILP methodology to optimize sizing of PV - Wind renewable energy systems

Regina Lamedica, Ezio Santini, Alessandro Ruvio, Laura Palagi and Irene Rossetta

Energy, 2018, vol. 165, issue PB, 385-398

Abstract: This paper proposes a methodology that is based on mixed-integer linear programming (MILP) to calculate the optimal sizing of a hybrid wind-photovoltaic power plant in an industrial area. The proposed methodology considers the: i) load requirements; ii) physical and geometric constraints for the renewable plants installation; iii) operating and maintenance costs of both wind and PV power plants; and the iv) electric energy absorbed by the public network.

Keywords: Industrial power plant; Mixed-integer linear programming; Optimization; Renewable energy systems (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (17)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:165:y:2018:i:pb:p:385-398

DOI: 10.1016/j.energy.2018.09.087

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