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首页> 外文会议>International Conference on Ecological Vehicles and Renewable Energies >Automatic topology identification of weak low voltage networks and load management strategies for micro-mobility applications
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Automatic topology identification of weak low voltage networks and load management strategies for micro-mobility applications

机译：弱低压网络的自动拓扑识别和微移动应用的负载管理策略

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摘要

With 55 % of the world's population residing in urban areas in 2018 and a projected rise up to 68% by 2050 [1], the challenge of integrating sustainable mobility solutions into the existing urban infrastructure is gaining worldwide attention. The new opportunities come with a challenge, which is focused on managing a dynamic combination of generations and loads on an existing infrastructure that is designed based on a set of particular standards and specification to support its static original conditions. Networks reinforcement is one solution, however this solution is expensive and typical usage times are short. An alternative is to integrate smart grid control techniques, avoiding relatively larger investments. For this purpose, an energy management system retrofitted to an existing public street lighting network can provide a more economic and reliable solution. In this work a systematic approach to optimizing the scheduling of loads and power flows in terms of maximizing load acceptance rate and the total delivered energy is presented.
机译：随着2018年全球55％的人口居住在城市地区，预计到2050年将增长68％[1]，将可持续交通解决方案集成到现有城市基础设施中的挑战正在引起全球关注。新的机遇带来了挑战，其重点在于管理现有基础架构上的代和负载的动态组合，该基础是基于一组特定的标准和规范设计的，以支持其静态原始条件。网络加固是一种解决方案，但是该解决方案价格昂贵并且典型的使用时间短。另一种选择是集成智能电网控制技术，从而避免相对较大的投资。为此，对现有公共街道照明网络进行改造的能源管理系统可以提供更经济，更可靠的解决方案。在这项工作中，提出了一种系统的方法，可以根据负载接受率和总输送能量的最大化来优化负载和潮流的调度。

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