Generation and transmission expansion planning (GEP and TEP) consists of finding the optimal long-term energy plan for the construction of new generation and transmission capacity. Typically, it deals with solving a large-scale, nonlinear discrete and dynamic optimization problem with complex constraints and a high level of uncertainty. The current literature continuously looks for quantitative multi-perspective strategies and models, including and best balancing such issues. This paper focuses on the GEP and TEP of large-scale energy systems with a high share of renewables. Particularly, this paper presents and applies an optimization model for GEP and TEP. The general model formulation does not focus on a specific geographical area. However, the model can be adapted and applied to several specific contexts. The model outcomes involve the optimal generation mix planning, the analysis of energy flows, and the mapping of critical energy areas. Finally, the model is applied to a case study, based on the Italian context, to test and validate it.
Cafarella C., Bortolini M., Gabellini M., Galizia F.G., Ventura V. (2024). Energy Network Optimization Model for Supporting Generation Expansion Planning and Grid Design. Singapore : Springer Science and Business Media Deutschland GmbH [10.1007/978-981-99-8159-5_21].
Energy Network Optimization Model for Supporting Generation Expansion Planning and Grid Design
Cafarella C.;Bortolini M.;Gabellini M.
;Galizia F. G.;Ventura V.
2024
Abstract
Generation and transmission expansion planning (GEP and TEP) consists of finding the optimal long-term energy plan for the construction of new generation and transmission capacity. Typically, it deals with solving a large-scale, nonlinear discrete and dynamic optimization problem with complex constraints and a high level of uncertainty. The current literature continuously looks for quantitative multi-perspective strategies and models, including and best balancing such issues. This paper focuses on the GEP and TEP of large-scale energy systems with a high share of renewables. Particularly, this paper presents and applies an optimization model for GEP and TEP. The general model formulation does not focus on a specific geographical area. However, the model can be adapted and applied to several specific contexts. The model outcomes involve the optimal generation mix planning, the analysis of energy flows, and the mapping of critical energy areas. Finally, the model is applied to a case study, based on the Italian context, to test and validate it.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.