Strategic Planning for Power System Decarbonization Using Mixed-Integer Linear Programming and the William Newman Model

This paper proposes a comprehensive framework for strategic power system decarbonization planning that integrates the William Newman method (diagnosis–options–forecast–decision) with a multi-objective Mixed-Integer Linear Programming (MILP) model. The approach simultaneously minimizes (i) generation...

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Bibliographic Details
Published in:	Energies (Basel) Vol. 18; no. 18; p. 5018
Main Authors:	Valdez Castro, Jairo Mateo, Aguila Téllez, Alexander
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.09.2025
Subjects:	Air quality management Alternative energy Carbon Case studies Clean technology decarbonization Decision making Ecuador Electric power systems Electricity Emissions control Energy industry Energy storage Energy transition Flexibility Force and energy Fossil fuels fossil generation Greenhouse gases Hydrogen Investment analysis Linear programming mixed-integer linear programming Operating costs operational costs Optimization Renewable resources Strategic management Strategic planning Strategic planning (Business) wind energy Ecuador
ISSN:	1996-1073, 1996-1073
Online Access:	Get full text
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