可持续电网动态线路额定值与输电扩展的最优集成：电压稳定约束下的混合整数线性规划方法

IF 5.6 2区工程技术 Q2 ENERGY & FUELS

Sustainable Energy Grids & Networks Pub Date : 2025-09-01 DOI:10.1016/j.segan.2025.101932

Amir Bagheri , Saleh Mobayen

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引用次数: 0

摘要

电力需求和可再生能源并网的快速增长加剧了输电拥堵，在确保运行安全的同时，需要进行经济有效的电网扩建。本文提出了一种新的混合整数线性规划（MILP）模型，用于在电压稳定约束下共同优化动态线路额定值（DLR）系统布局和输电网扩展规划（TNEP）。在GAMS中使用GUROBI求解全局最优的凸MILP公式，同时通过富风系统的负载裕度约束最小化成本并增强稳定性。对IEEE 24总线网络的案例研究表明，通过利用DLR的动态容量减少线路升级，与传统的TNEP相比，成本降低了7% %。该模型的计算效率和可扩展性使其适用于现实世界的高可再生和可持续电网规划。

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Optimal integration of dynamic line rating and transmission expansion for sustainable grids: A mixed-integer linear programming approach with voltage stability constraints

The rapid growth of electric demand and renewable integration has intensified transmission congestion, necessitating cost-effective grid expansion while ensuring operational security. This paper proposes a novel mixed-integer linear programming (MILP) model to co-optimize dynamic line rating (DLR) system placement and transmission network expansion planning (TNEP) under voltage stability constraints. The convex MILP formulation, solved to global optimality using GUROBI in GAMS, simultaneously minimizes costs while enforcing stability via loading margin constraints in wind-rich systems. Case studies on the IEEE 24-bus network demonstrate a 7 % cost reduction versus conventional TNEP, achieved by leveraging DLR’s dynamic capacity to reduce line upgrades. The model’s computational efficiency and scalability make it practical for real-world high-renewable and sustainable grid planning.

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来源期刊

Sustainable Energy Grids & Networks Energy-Energy Engineering and Power Technology

CiteScore

7.90

自引率

13.00%

发文量

206

审稿时长

49 days

期刊介绍： Sustainable Energy, Grids and Networks (SEGAN)is an international peer-reviewed publication for theoretical and applied research dealing with energy, information grids and power networks, including smart grids from super to micro grid scales. SEGAN welcomes papers describing fundamental advances in mathematical, statistical or computational methods with application to power and energy systems, as well as papers on applications, computation and modeling in the areas of electrical and energy systems with coupled information and communication technologies.