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

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书目详细资料
发表在:	Technologies vol. 13, no. 6 (2025), p. 241-259
主要作者:	de Oliveira Edimar José
其他作者:	Nepomuceno Lucas Santiago, de Oliveira Leonardo Willer, de Paula Arthur Neves
出版:	MDPI AG
主题:	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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实物特征
摘要:	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
Fuente:	Materials Science Database