Power Quality: Contemporary Issues and Solutions

近年来，在政府政策、技术发展和社会期望的推动下，电网正经历着前所未有的现代化压力。这一变化的主要驱动因素包括(1)大规模可再生能源的出现，(2)公众对能源效率和节约的兴趣增加，(3)社会对有弹性、可靠和高质量的电力供应的高期望，以及(4)信息和计算技术的进步。这些发展导致了一系列的研究、开发和应用活动，形成了一场名为“电网现代化”的全行业运动。 电能质量作为电网现代化的重要组成部分，也面临着类似的挑战。例如，由于可再生能源和节能电器的使用，电网正在经历越来越多的电力干扰。然而，处理这类问题的系统和有效的解决方案仍然难以捉摸。另一方面，采集了大量细小到多旋回波形的扰动数据。业界仍在寻找更好地利用这些数据的方法。 拟议的发现资助计划旨在解决此类当代电能质量问题，更具体地说，是开发创新的干扰诊断和数据分析解决方案。该计划由两个主题组成：(1)电能质量扰动诊断和(2)电力扰动数据分析。对于第一个主题，该计划将调查大规模采用节能家用电器和分布式能源对电能质量的影响。它将专注于创造创新的故障排除技术。对于第二个主题，将开发一个基于数据分析的框架，以从电力扰动数据中收集信息。其目标是为现代电网建立一种新的态势感知形式。 这一拟议计划的潜在影响包括：(A)减少节能和可再生技术对电能质量的负面影响，(B)改善电能质量的行业标准，以及(C)引入一个新的电网监测平台。

Electric power grids are experiencing unprecedented pressure to modernize in recent years, driven by government policies, technology developments and social expectations. Key drivers for the change include (1) the emergence of large scale renewable energy sources, (2) increased public interest in energy efficiency and conservation, (3) high social expectations for resilient, reliable, and high quality electricity supply and (4) the advancement in information and computing technology. These developments have led to a series of research, development, and application activities, resulting in an industry-wide movement called “electric grid modernization”. Power quality, as an essential component of grid modernization, is facing similar challenges. For example, the grid is experiencing increased power disturbances due to renewable energy sources and energy efficient appliances. Yet systematic and efficient solutions to deal with such problems are still elusive. On the other hand, massive amount of disturbance data with a granularity as fine as multi-cycle waveforms have been collected. Industry is still searching for ways to make good use of the data. The proposed discovery grant program is designed to address such contemporary power quality issues and, more specifically, to develop innovative disturbance diagnosis and data analytics solutions. The envisioned program is composed of two main themes: (1) power quality disturbance diagnosis and (2) power disturbance data analytics. For the first theme, the program will investigate the power quality impact of mass adoption of energy efficient home appliances and distributed energy sources. It will focus on creating innovative troubleshooting techniques. For the second theme, a data analytics based framework to harvest information from power disturbance data will be developed. The goal is to establish a new form of situational awareness for modern power grids. Potential impact of this proposed program includes (a) reducing the negative power quality impact of energy efficient and renewable technologies, (b) improving industry standards on power quality, and (c) introducing a new platform for grid monitoring.