NSERC Industrial Research Chair for Colleges in Advanced Distribution System (ADS)

拟议主席的研究将集中在两个主要领域：电力系统保护/控制和电能质量。在保护和控制方面，目前的技术主要由机电设备(继电器)组成，没有联网、计算机智能或数据报告功能。现代一代的继电器，智能电子设备(IED)，可以提供微电网或先进配电系统(ADS)所期望的所有缺失功能。然而，需要进行彻底的调查和测试，以确保简易爆炸装置能够有效和可靠地集成到未来的电力系统中。就电能质量而言，人们普遍认为，现代技术和能源对电力系统构成了许多挑战。主席将调查谐波对电网的影响，提供建议，并提出改善电网性能的解决方案。除了帮助公用事业公司优化其资产管理战略外，这项研究还将支持电力设备制造商改进他们的产品，以满足公用事业公司和客户的期望。这样的好处也可以扩展到汽车和家电行业。主席采取的研究方法和方法将是：找出问题，获取真实世界数据，开发原型，并在现场电网中实施解决方案。具体来说，主席将创建一个数据库，其中包括从电网内不同点收集的测量数据。数据库信息将用于创建各种微电网组件的数学模型和系统原型。为了验证提出的解决方案，原型将在完全受控的实验室环境中构建和测试。最终的研究成果是经过验证的设计，可以按比例扩展并映射到现有的电力系统中。

The proposed Chair's research will focus on two major areas: power system protection/control and power quality. For protection and control, current technologies consist mainly of electromechanical devices (relays), with no networking, computer intelligence, or data reporting features. The modern generation of relays, Intelligent Electronic Devices (IEDs), can provide all the missing features expected within a microgrid, or Advanced Distribution System (ADS). However, thorough investigation and testing is required to ensure that IEDs can be integrated effectively and reliably into future power systems. For power quality, there is broad acceptance that modern technologies and energy sources pose many challenges to power systems. The Chair will investigate the impact of harmonics on power grids, provide recommendations, and propose solutions to improve grid performance. In addition to assisting utilities in optimizing their asset management strategies, the research will support power equipment manufacturers in improving their products to meet utilities' and customers' expectations. Such benefits can also be extended to the auto and appliance sectors. The research approach and methodology undertaken by the Chair will be to: identify problems, acquire real-world data, develop prototypes, and implement solutions within a live power grid. Specifically, the Chair will create a database that includes measurements collected from various points within the power grid. The database information will be used to create mathematical models and system prototypes for various microgrid components. To validate the proposed solutions, prototypes will be constructed and tested within a fully controlled lab environment. The final research outcomes are proven designs that can be scaled and mapped into an existing power system.