Matlab based procedure aimed at sizing a microgrid composed of PV panels and BESS. Given as input the site load profile and the solar power profile, the least cost solution in terms of PV and batteries size is provided.
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References:
Corigliano, Silvia, et al. “Microgrid design: sensitivity on models and parameters.” 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC/I&CPS Europe). IEEE, 2019.
Moncecchi, M., Brivio, C., Corigliano, S., Cortazzi, A., & Merlo, M. (2018, June). Battery modeling for microgrid design: A comparison between lithium-ion and lead acid technologies. In 2018 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM) (pp. 1215-1220). IEEE.
C. Brivio, M. Moncecchi, S. Mandello, M. Merlo, “A novel software package for the robust design of off-grid power systems”, Journal of Cleaner Production, Volume 166, 10 November 2017, Pages 668-679
S. Mandelli, C. Brivio, E. Colombo, M. Merlo, “Effect of load profile uncertainty on the optimum sizing of off-grid PV systems for rural electrification”, Sustainable Energy Technologies and Assessments,
Volume 18, 1 December 2016, Pages 34-47
S. Mandelli, C. Brivio, E. Colombo, M. Merlo, “A sizing methodology based on Levelized Cost of Supplied and Lost Energy for off-grid rural electrification systems”, Renewable Energy, Volume 89, April 01, 2016, Pages 475-488