安第斯电力系统基于地理位置的输电网络扩展战略

Wilian Guamán , Pablo Benalcazar , Kevin Ñacato , Israel Vaca
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引用次数: 0

摘要

在全球南部的许多国家,由于可用资源的多样性和特定的地理条件,输电网络的扩展面临着独特的挑战。这些挑战在地形复杂的地区尤为明显,例如安第斯地区,那里的海拔差异和不规则地形对电力基础设施的发展构成了巨大障碍。本研究通过采用非常规的输电网扩展战略来应对这些挑战,特别强调要适应安第斯地区独特的地理特征。为说明这一点,以厄瓜多尔作为安第斯地区地理多样性的代表国家,开发了一个名为 EC-45 总线系统的案例研究。此外,本研究还提出了一个混合整数线性规划 (MILP) 模型,该模型优先考虑现有线路的重新供电和重新配置,而不是新建线路。所采用的方法评估了建设新线路所需的投资,并考虑了三种地点类型(海拔 1000 米、≥1000 米和综合)的建设成本。定量结果表明,与线性判别模型所提供的解决方案相比,使用非常规解决方案可节省高达 30.60% 的投资成本。这种方法为更有效地管理资源提供了一种途径,尤其是在像安第斯山脉这样地理环境复杂的国家。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Geography-based transmission network expansion strategies for Andean electrical systems

In many countries of the Global South, transmission network expansion faces unique challenges due to the diversity of available resources and specific geographic conditions. These challenges are particularly evident in regions with complex geographies, such as the Andean region, where elevation differences and irregular topography pose significant obstacles to the development of electricity infrastructure. This study addresses these challenges by applying non-conventional strategies for transmission grid expansion, with a particular emphasis on adapting to the unique geographic features of the Andean region. To illustrate this, a case study called EC-45 bus system is developed using Ecuador as a country representative of the geographic diversity of the Andean region. Furthermore, this work presents a Mixed Integer Linear Programming (MILP) model that prioritizes the repowering and reconfiguration of existing lines over the construction of new lines. The methodology employed evaluates the investment required for the construction of new lines, considering construction costs for three site types (<1000 meters above sea level (m.a.s.l.), ≥1000 m.a.s.l., and combined). Quantitative results show that using non-conventional solution methods can generate savings of up to 30.60% in investment costs compared to the solution provided by the Linear Disjunctive model. This approach offers a way towards more efficient management of resources, especially in countries with complex geographies such as the Andean one.

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