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

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 ren...

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Bibliographic Details
Published in:Energy (Oxford) 2018-12, Vol.165, p.385-398
Main Authors: Lamedica, Regina, Santini, Ezio, Ruvio, Alessandro, Palagi, Laura, Rossetta, Irene
Format: Article
Language:English
Subjects:
Alternative energy
Economic analysis
Energy
Geometric constraints
Industrial areas
Industrial plants
Industrial power plant
Integer programming
Linear programming
Maintenance costs
Mathematical analysis
Methodology
Mixed-integer linear programming
Operating costs
Optimization
Photovoltaic cells
Photovoltaics
Power plants
Renewable energy
Renewable energy systems
Seasonal variations
Sizing
Solar cells
Wind
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Summary: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. The power demand variation associated with the production cycles is considered by using a stochastic simulation tool. To consider both the load and seasonality variability, and to adapt the methodology to the actual operational use of the power plant, the optimization is performed separately for each month of the year. Then, an integrated economic analysis is discussed. The methodology is adopted to analyze an industrial plant in the Rome area used as a train depot and for maintenance purposes. The results, which combine the needs of the plant activity with the availability of renewable energy, enabled the determination of optimal solutions and the relevant savings achievable. •MILP model for optimal sizing of hybrid wind-photovoltaic power plant.•Optimal monthly results to analyze different strongly variable energy industrial area.•Stochastic simulation of the energy requirements based on real data.•A numerical application of the model on an industrial area in Rome.•An integrated economic analysis tool in the optimization procedure.
ISSN:0360-5442
1873-6785
DOI:10.1016/j.energy.2018.09.087