The subject addressed in this paper is the definition of some strategies for the design and the optimaized management of EES (Electrical Energy Storage) systems, for an existing islanded distribution network supplying the Island of Pantelleria (Italy) in the Mediterranean Sea. In the paper the authors have drawn interesting conclusions through the application of an efficient MO (multi-objective) optimization algorithm, the NSGA-II, minimizing the energy losses in the grid, the total electricity generation cost and the greenhouse gas emissions. The results obtained for different installation scenarios of the EES are presented and discussed, putting into evidence the technical, environmental and economical benefits of using EES as well as the technical issues connected to their installation into an existing distribution network. The paper describes in details the second part of a feasibility study about the transition from a “fuel-based” traditional centralized electrical system to an active and smart “renewables-based” electrical distribution system.
Riva Sanseverino, E., Zizzo, G., Ippolito, M.G., Graditi, G., Di Silvestre, M.L. (2014). Multi-objective optimized management of electrical energy storage systems in an islanded network with renewable energy sources under different design scenarios. ENERGY, 64(64 (1)), 648-662 [10.1016/j.energy.2013.11.065].
Multi-objective optimized management of electrical energy storage systems in an islanded network with renewable energy sources under different design scenarios
RIVA SANSEVERINO, Eleonora;ZIZZO, Gaetano;IPPOLITO, Mariano Giuseppe;DI SILVESTRE, Maria Luisa
2014-01-01
Abstract
The subject addressed in this paper is the definition of some strategies for the design and the optimaized management of EES (Electrical Energy Storage) systems, for an existing islanded distribution network supplying the Island of Pantelleria (Italy) in the Mediterranean Sea. In the paper the authors have drawn interesting conclusions through the application of an efficient MO (multi-objective) optimization algorithm, the NSGA-II, minimizing the energy losses in the grid, the total electricity generation cost and the greenhouse gas emissions. The results obtained for different installation scenarios of the EES are presented and discussed, putting into evidence the technical, environmental and economical benefits of using EES as well as the technical issues connected to their installation into an existing distribution network. The paper describes in details the second part of a feasibility study about the transition from a “fuel-based” traditional centralized electrical system to an active and smart “renewables-based” electrical distribution system.File | Dimensione | Formato | |
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