论文标题
电力市场和系统中的异常检测
Anomaly Detection in Power Markets and Systems
论文作者
论文摘要
在过去的几十年中，信息和通信技术（ICT）的广泛使用一直是电力系统数字化背后的主要催化剂。同时，随着物联网（IoT）的利用率（IoT）的使用速率随着ICT的最新进展而继续上升，需要对关键基础设施（例如电网和参与其中的代理商）进行安全和计算有效监控的需求正在增长。由于多种原因，网络物理系统（例如电网）可能会出现异常。这些可能包括身体缺陷，测量和通信中的错误，网络攻击以及其他类似事件。这项研究的目的是强调电源系统最常见的事件，并概述和分类查找问题的最常见方法，从消费者/制造商最终开始延伸到主要电力生产者。此外，本文旨在讨论用于识别电力系统和市场中异常情况的人工智能（AI）之类的方法和技术。
The widespread use of information and communication technology (ICT) over the course of the last decades has been a primary catalyst behind the digitalization of power systems. Meanwhile, as the utilization rate of the Internet of Things (IoT) continues to rise along with recent advancements in ICT, the need for secure and computationally efficient monitoring of critical infrastructures like the electrical grid and the agents that participate in it is growing. A cyber-physical system, such as the electrical grid, may experience anomalies for a number of different reasons. These may include physical defects, mistakes in measurement and communication, cyberattacks, and other similar occurrences. The goal of this study is to emphasize what the most common incidents are with power systems and to give an overview and classification of the most common ways to find problems, starting with the consumer/prosumer end working up to the primary power producers. In addition, this article aimed to discuss the methods and techniques, such as artificial intelligence (AI) that are used to identify anomalies in the power systems and markets.
