Enhancement of overhead transmission line capacity through evolutionary computing

J. Acosta, M. Tavares
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引用次数: 7

Abstract

Most human activities depend on electrical systems. Thereby, energy that flows toward the electrical systems has to be conducted through transmission lines. However, conventional lines are limited by their natural power capacity. Thus, this paper proposes a mathematical model to be used with evolutionary computing in order to optimize the overhead transmission line power capacity. This enhancement is achieved by modifying the position of phase conductors in overhead transmission lines. Electrical and mechanical aspects are analyzed during the optimization process. Depending on the voltage level, different tower configurations with higher power capacity and lesser right of way are obtained, being more friendly with the environment. In $500~\mathrm {k}\mathrm {V}$ were obtained geometries with 20.89% to 105.13% higher power capacity than conventional lines. Compared with previous approaches the model shows good results obtaining solutions with similar or higher power capacity. Thus, the obtained geometries can be used in new transmission line projects when a higher transmission capacity and lesser right of way is desired.
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基于进化计算的架空输电线路容量增强
大多数人类活动依赖于电力系统。因此,流向电力系统的能量必须通过传输线传导。然而,传统线路受到其天然电力容量的限制。为此,本文提出了一种基于进化计算的架空输电线路容量优化数学模型。这种增强是通过改变架空输电线路中相导体的位置来实现的。在优化过程中对电气和机械方面进行了分析。根据电压等级的不同,可以得到功率容量大、路权小、对环境更友好的不同塔架结构。在$500~\mathrm {k}\mathrm {V}$中获得了比传统线路高20.89% ~ 105.13%功率容量的几何形状。与以往的方法相比,该模型得到了相似或更高功率容量的解。因此,所获得的几何形状可用于新的输电线路工程中,当需要更高的传输容量和较小的通行权时。
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