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An energy planning approach based on mixed 0–1 Multiple Objective Linear Programming
Author(s) -
Mavrotas G.,
Diakoulaki D.,
Papayannakis L.
Publication year - 1999
Publication title -
international transactions in operational research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.032
H-Index - 52
eISSN - 1475-3995
pISSN - 0969-6016
DOI - 10.1111/j.1475-3995.1999.tb00153.x
Subject(s) - linear programming , mathematical optimization , electricity , computer science , electricity generation , core (optical fiber) , production (economics) , set (abstract data type) , power (physics) , operations research , mathematics , engineering , economics , telecommunications , physics , electrical engineering , quantum mechanics , macroeconomics , programming language
Multiple Objective Linear Programming (MOLP) models have been widely used in the energy sector for taking into account several conflicting objectives pursued in energy planning. However, continuous variables are not suffcient to accurately represent discrete phenomena encountered in many practical decision situations, such as the power generation expansion problem. This paper presents a new approach based on a mixed 0–1 MOLP model and applied to the Greek electricity generation sector for identifying the number and output of each type of power units needed to satisfy the expected electricity demand in the future. The core of the model is a branch and bound algorithm, which has been properly modified for the multi‐objective case and is capable of generating the whole set of effcient solutions. The results provided by this method is the extraction of the effcient combinations of the power generation units, and for each combination the effcient solutions determining electricity production from each unit.