A Mathematical Programming Approach to the Optimal Long-Term National Energy Planning
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The capacity expansion planning problem is defined as the determination of the optimal type of power generation technologies, location and time construction of new power plants in order to meet the projected electricity demand while simultaneously minimizing total cost over a long planning horizon. In this work, we present a mixed-integer linear programming (MILP) model for the optimal long-term energy planning of a national power generation system. More specifically, in order to capture more accurately the specific characteristics of the problem, the country is divided into a number of individual networks interacting each other. The solution of the model suggests the selection of the optimal power generation technologies and plant location in order to meet the expected electricity demand while satisfying environmental constraints in terms of CO2emissions. Furthermore, the imports of electricity from the grids of neighboring countries and the optimal electricity flows between domestic networks are also optimally decided. A real case study considering the Greek energy planning problem is used is to illustrate the applicability of the proposed model. Copyright 2013, AIDIC Servizi S.r.l.
