Development of new passive anti-islanding method for distributed generators

在电力系统(EPS)中增加由风能和太阳能等可再生能源驱动的分布式发电机(DG)的兴趣越来越大。然而，在EPS中添加大量的DG可能会损害EPS的稳定性和可靠性。由于安全和设备的风险，公用事业公司不允许DGS作为孤岛运行。反孤岛是分布式电源与电动助力发电系统互联互通的重要组成部分，也是制约分布式电源广泛应用的技术障碍之一。 虽然已经研究了许多反孤岛方法，但还没有开发出一种具有足够稳健性和可靠性的通用反孤岛方法。拟议研究的目的是开发一种方法，使现有方案以及新方案的最佳属性能够无缝地纳入确定是否存在岛屿情况的创新分类模型中。建议的技术将是通用的，因此，适用于通过旋转发电机直接连接到EPS的分布式电源，也适用于通过电力电子转换器连接到EPS的DG。该项目的成功将使可再生能源在电力市场中的渗透率更高，并促进温室气体减排和经济发展。 研究将按照明确的任务时间表进行，其中包括：开发模拟模型、开发训练事件数据库、开发和验证分类模型、进行与其他方法的比较分析、建造互连设备和进行实地核查测试。互联设备将在我们研究设施中的光伏DG装置(基于功率转换器)和风力涡轮机DG装置(基于感应发电机)上进行测试。该项目将为两名博士生和一名理工科硕士学生提供研究和实验室培训，这些学生的技能是加拿大工业界非常需要的。

There is a growing interest in adding distributed generators (DGs) that are driven by renewable energy resources such as wind and solar energy to the electric power systems (EPS). However, adding a large numbers of DGs to the EPS may compromise the stability and reliability of the EPS. DGs operating as islands are not permitted by utilities as a result of risks to safety and equipment. Anti-islanding is a critically important component of the interconnection system between a DG and the EPS, and is also a challenging technical problem that has been recognized as one of the technical barriers preventing widespread deployment of DGs. Although numerous anti-islanding methods have been investigated, a universal anti-islanding method that possesses adequate robustness and reliability is yet to be developed. The objective of the proposed research is to develop a methodology that allows the best attributes of existing schemes as well as new schemes to be seamlessly incorporated into an innovative classification model that identifies whether an island condition exists or not. The proposed technique will be universal and hence, applicable for DGs that interface directly to the EPS through rotary generators and also for DGs that interface to the EPS through power electronic converters. The success of this project will enable higher penetration of renewable energy in electricity markets and facilitate greenhouse gas reduction and economic development. The research will proceed along a timeline with well defined tasks that include: developing a simulation model, developing a database of training events, developing and validating a classification model, performing a comparative analysis with other approaches, constructing an interconnection apparatus and conducting field verification tests. The interconnection apparatus will be tested on both a photovoltaic DG installation (power converter based) and a wind turbine DG installation (induction generator based) that reside in our research facilities. This project will provide research and laboratory based training for two Ph.D. students and one M.Sc.E. student with skills that are in high demand by Canadian industry.