Power System Protection and Control of Renewable Energy Integrated Systems, Dynamic Modeling, and Sustainable Energy Systems

21世纪的电网正在利用数字通信技术和人工智能取得的重大进步来改善其运营。随着人们对环境污染的日益关注，世界各地的电力和能源部门也在推动零排放发电替代方案。我的研究项目集中在可再生能源综合电力系统的保护和控制，小型模块反应堆(SMR)等新型核电发电机的动态建模，以及可持续能源和电力系统的研究。它采用了实时仿真方法、人工智能技术、半实物仿真和基于稳定性的程序。我的长期目标是为采用零排放发电技术的现代互联电力系统的可靠运行开发保护和控制方法。在接下来的五年里，我将重点研究三个主题的项目： 1.高速继电保护、逆变器发电保护和故障定位： 可再生能源通常采用基于逆变器的接口，与传统发电相比，该接口具有显著不同的故障响应。我将研究新的通信辅助线路保护方案，用于连接可再生能源的电力系统，以及基于物联网(IoT)的方法，以准确检测和定位地下AC/DC配电电缆的故障。 2.电力系统中的实时失步预测和受控孤岛： 新的基于可再生能源的电网将容易发生停电。我将研究检测电力系统中不稳定情况的方法。我还将调查使用可再生能源的电力系统中的连锁停电情况。我还将开发使用图论的受控孤岛方法，以最大限度地减少停电面积。我还将开发新的方法来检测因逆变器发电和非线性负载而产生的短期电压稳定性。 3.可持续能源：平衡可再生能源与储存和新的核电技术，如SMR： 我将研究可用于电力系统保护和控制研究的新的核电通用类型模型。我将把反应堆侧的热力学模型包括在汽轮发电机模型中，以便进行负荷跟踪。我还将开发基于可持续能源(热电联产)的电力系统模型。 这项研究将使故障检测和定位更快，从而使电力系统更加可靠和稳定。实时受控的孤岛解决方案将限制最坏情况下的停电区域。随着新的补救行动计划的实施，这项研究将使加拿大电力和能源行业受益。可持续能源主题将有助于为主要电网以及离网地点(偏远社区)开发低碳能源系统。

The 21st-century electrical grid is exploiting significant progress made in digital communication technologies and AI to improve its operation. With increasing concerns regarding environmental pollution, power and energy sectors all over the world are also pushing towards emission-free generation alternatives. My research program focuses on the protection and control of renewable energy integrated power systems, dynamic modeling of new nuclear-powered generators such as small modular reactors (SMRs), and sustainable energy and power system studies. It employs real-time simulation approaches, AI techniques, hardware-in-the-loop simulations, and stability-based programs. My long-term objective is to develop protection and control methodologies for the reliable operation of modern interconnected power systems with emission-free generation technologies. During the next five years, I will focus on research projects within three themes: 1. High Speed Relaying, Protection with Inverter-Based Generation, and Fault Location: Renewable energy resources often feature an inverter-based interface that has a significantly different fault response compared to conventional generation. I will investigate new communication-aided line protection schemes for power systems interfaced with renewable energy as well as Internet of Things (IoT)-based methodologies for accurate fault detection and location in underground AC/DC distribution cables. 2. Real-Time Out-of-Step Prediction and Controlled Islanding in Power Systems: New renewable energy-based electric grids will be prone to blackouts. I will investigate methods to detect instability conditions in the power systems. I will also investigate cascading outage conditions in power systems with renewable energy. I will also develop controlled islanding methods using graph theory to minimize the area of blackout. I will also develop new methods for short-term voltage stability detection due to inverter-based generation and non-linear loads. 3. Sustainable Energy: Balancing renewable energy with storage and new nuclear power technologies such as SMRs: I will investigate new generic-type models for nuclear power generation that could be used for power system protection and control studies. I will include the reactor side thermodynamic model in the turbine-generator model for load following. I will also develop sustainable energy (combined heat and power production)-based power system models. The research will allow faster fault detection and location so that power systems can be made more reliable and stable. Real-time controlled islanding solutions would limit the region of blackout during worst-case conditions. The research will benefit the Canadian power and energy industry as new remedial action schemes are implemented. The sustainable energy theme will help develop low-carbon energy systems for primary electric grids as well as for off-grid locations (remote communities).