Designing off-grid systems in developing countries is not a trivial task; unpredictable energy sources and uncertain load demands have to match in a seamless solution, providing the most favourable conditions in terms of adequacy with respect to the energy needs and costs. The challenge is to define which parameters/assumptions could have a strong impact on the results in order to properly model them. This paper is based on a peculiar study case: a microgrid deployed by the Politecnico di Milano team in Tanzania, load and generator power profiles have been sampled each second over many months. Given such a large amount of data, it is proposed a sensitivity analysis devoted to quantifying the impact that different assumptions could have in the design of a theoretical new microgrid that could optimally feed the loads. Numerical analysis is based on a tool, named PoliNRG, developed by a research team of Politecnico di Milano.

Microgrid design: sensitivity on models and parameters

Corigliano, Silvia;Moncecchi, Matteo;Mirbagheri, Mina;Merlo, Marco;
2019-01-01

Abstract

Designing off-grid systems in developing countries is not a trivial task; unpredictable energy sources and uncertain load demands have to match in a seamless solution, providing the most favourable conditions in terms of adequacy with respect to the energy needs and costs. The challenge is to define which parameters/assumptions could have a strong impact on the results in order to properly model them. This paper is based on a peculiar study case: a microgrid deployed by the Politecnico di Milano team in Tanzania, load and generator power profiles have been sampled each second over many months. Given such a large amount of data, it is proposed a sensitivity analysis devoted to quantifying the impact that different assumptions could have in the design of a theoretical new microgrid that could optimally feed the loads. Numerical analysis is based on a tool, named PoliNRG, developed by a research team of Politecnico di Milano.
2019
Proceedings - 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019
978-1-7281-0653-3
File in questo prodotto:
File Dimensione Formato  
08783760.pdf

Accesso riservato

: Publisher’s version
Dimensione 204.81 kB
Formato Adobe PDF
204.81 kB Adobe PDF   Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1102584
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact