In this paper, an optimization procedure is proposed for evaluating the contribution of distributedgeneration (DG) production in the energy planning. A linear programming optimization methodology based on Energy Flow Optimisation Model (EFOM) is adopted, detailing the primary energy sources exploitation, power and heat generation, emissions and end-use sectors. The model framework is enhanced in order to include the description of DG contribution. In particular, a detailed description of the electric power grid is carried out, taking into account a subdivision in different voltage levels of the electricity production and the energy demand. The optimisation process, aiming to reduce environmental impact and economical efforts, provides feasible generation settlements between large-scale generation and DG. The proposed methodology is applied to a realistic energy system.
Assessing distributed generation in an environmental-constrained energy planning / Dicorato, Maria; Forte, Giuseppe; Trovato, Michele Antonio. - (2007). (Intervento presentato al convegno IEEE Power Engineering Society General Meeting, PES 2007 tenutosi a Tampa, FL nel June 24-28, 2007) [10.1109/PES.2007.385964].
Assessing distributed generation in an environmental-constrained energy planning
Dicorato, Maria;Forte, Giuseppe;Trovato, Michele Antonio
2007-01-01
Abstract
In this paper, an optimization procedure is proposed for evaluating the contribution of distributedgeneration (DG) production in the energy planning. A linear programming optimization methodology based on Energy Flow Optimisation Model (EFOM) is adopted, detailing the primary energy sources exploitation, power and heat generation, emissions and end-use sectors. The model framework is enhanced in order to include the description of DG contribution. In particular, a detailed description of the electric power grid is carried out, taking into account a subdivision in different voltage levels of the electricity production and the energy demand. The optimisation process, aiming to reduce environmental impact and economical efforts, provides feasible generation settlements between large-scale generation and DG. The proposed methodology is applied to a realistic energy system.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.