论文标题
主动分配系统通过人工智能协调控制方法
Active Distribution System Coordinated Control Method via Artificial Intelligence
论文作者
论文摘要
最终部署在分配系统中创建了主动分配系统的使用电力资源。不受控制的主动分配系统在一天中表现出广泛的电压和负载变化，因为其中一些资源在最大功率跟踪高度可变的风和太阳照射下运行，而其他资源则表现出随机变化和/或对天气条件的依赖性。有必要控制系统以在正常电压和频率下可靠地提供功率。经典的优化方法可以控制系统的系统，遭受问题的维度以及对全球优化方法的需求，以协调大量的小型资源。人工智能（AI）方法提供了一种可以为此问题提供实际方法的替代方法。我们建议具有自我注意力机制的神经网络有可能协助系统的优化。在本文中，我们介绍这种方法并提供有希望的初步结果。
The increasing deployment of end use power resources in distribution systems created active distribution systems. Uncontrolled active distribution systems exhibit wide variations of voltage and loading throughout the day as some of these resources operate under max power tracking control of highly variable wind and solar irradiation while others exhibit random variations and/or dependency on weather conditions. It is necessary to control the system to provide power reliably and securely under normal voltages and frequency. Classical optimization approaches to control the system towards this goal suffer from the dimensionality of the problem and the need for a global optimization approach to coordinate a huge number of small resources. Artificial Intelligence (AI) methods offer an alternative that can provide a practical approach to this problem. We suggest that neural networks with self-attention mechanisms have the potential to aid in the optimization of the system. In this paper, we present this approach and provide promising preliminary results.
