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A Novel Framework for Co-Expansion Planning of Transmission Lines and Energy Storage Devices Considering Unit Commitment

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Publicado no:Technologies vol. 13, no. 6 (2025), p. 241-259
Autor principal: de Oliveira Edimar José
Outros Autores: Nepomuceno Lucas Santiago, de Oliveira Leonardo Willer, de Paula Arthur Neves
Publicado em:
MDPI AG
Assuntos:
Linear programming
Genetic algorithms
Integer programming
Clustering
Transmission lines
Optimization
Renewable resources
Decomposition
Variables
Energy storage
Mixed integer
Unit commitment
Operating costs
Alternative energy sources
Energy resources
Uncertainty
Nonlinear programming
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Resumo:This paper presents a methodology for the co-expansion planning of transmission lines and energy storage systems, considering unit commitment constraints and uncertainties in load demand and wind generation. The problem is formulated as a mixed-integer nonlinear program and solved using a decomposition-based approach that combines a genetic algorithm with mixed-integer linear programming. Uncertainties are modeled through representative day scenarios obtained via clustering. The methodology is validated on a modified IEEE 24-bus system. The results show that co-planning reduces total expansion costs by 14.69%, annual operating costs by 26.19%, and wind curtailment by 91.99% compared to transmission only expansion. These improvements are due to the flexibility introduced by energy storage systems, which enables more efficient thermal dispatch, reduces fuel consumption, and minimizes renewable energy curtailment.
ISSN:2227-7080
DOI:10.3390/technologies13060241
Fonte:Materials Science Database