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Decentralized generation in urban districts: Optimal planning considering uncertainties

Authors :
Federico Delfino
Mansueto Rossi
Stefano Bracco
Luisa Pagnini
Michela Robba
Source :
2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe).
Publication Year :
2017
Publisher :
IEEE, 2017.

Abstract

This paper proposes a decision model for the planning of decentralized energy production in urban areas. The approach aims at finding the optimal mix and sizing of the generation units to be installed in a number of sites, given the characteristics of each location in terms of radiation, wind potential, electrical and thermal loads, etc. Both dispatchable and renewable (non-dispatchable) energy sources are taken into account; in particular, in the present application the sources considered for installation include cogeneration microturbines, photovoltaic plants and wind turbines. As both renewable sources and loads are stochastic in nature, a proper approach is used to evaluate the effects of the related uncertainties. The proposed model is applied to a neighborhood in Savona, Italy. The goal of the technique is to represent a tool for a decision maker when planning investments in different urban areas, in the context of the transition from a traditional city to a "smart" one.

Details

Database :
OpenAIRE
Journal :
2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
Accession number :
edsair.doi.dedup.....352553f70b49d75c25341f9c6ca66220
Full Text :
https://doi.org/10.1109/eeeic.2017.7977463