Dynamic Line Rating Solutions for Alberta

阿尔伯塔省的互联电力系统正在经历一个重大变革的时期。艾伯塔省政府表示，计划到2030年淘汰艾伯塔省的煤炭发电，50%-75%的煤炭发电能力将被可再生能源所取代；目前，煤炭发电约占发电量的40%，占所有电力生产的一半以上。随着发电机组的变化，阿尔伯塔省预计将经历人口和工业部门能源需求的快速增长，这就需要扩大阿尔伯塔省互联电力系统（AIES）的总体容量。《气候领导报告》设想，在14年内，可再生能源发电能力将占总发电能力的30%，其余的发电能力可能由燃气发电提供。预期的增长和发电源的重大变化对设计合适的输电系统提出了挑战。政策和法规要求必须不受限制地接受全优发电，新输电的监管审批过程漫长，以及建设或升级线路的高成本，使这些挑战变得更加复杂。由于这些原因，艾伯塔省的独立系统运营商（AESO）和输电设施所有者（TFO）都对最大限度地利用输电系统的方法感兴趣，这样艾伯塔省就有了成本效益高、安全可靠的电力供应。最大限度地提高输电利用率的一种方法是在现有环境条件的安全限制下动态运行系统，称为动态线路额定值（DLR）。该项目汇集了电气、计算机和机械工程方面的高级教授，研究如何最好地预测传输线多跨的环境条件，以及如何使用这些环境条件来预测传输线的实时容量。该项目将开发实用的解决方案，展示DLR对系统的价值。

Alberta's Interconnected Electrical System is undergoing a period of substantial change. The AlbertaGovernment has indicated that it plans to retire coal generation in Alberta by 2030, with 50%-75% of the coalcapacity being replaced with renewable sources; coal-based generation currently accounts for approximately40% of generating capacity and over half of all electrical energy production. As this change to generation fleetoccurs, Alberta is also expected to experience a rapid growth in population and industrial sector energydemand, requiring expansion of the overall capacity of the Alberta Interconnected Electrical System (AIES).The Climate Leadership Report envisages a system with 30% of generating capacity from renewable sourceswithin 14 years, with the remainder of capacity likely provided by gas-fired generation. The expected increasein growth and substantial change to generating sources present challenges to the design of a suitabletransmission system. These challenges are compounded by policy and regulations, which require that allin-merit generation must be accepted without constraint, a lengthy regulatory approval process for newtransmission, and the high cost to build or upgrade lines. For these reasons, the independent system operator(AESO) and transmission facility owners (TFO's) in Alberta are interested in approaches that maximize theutilization of transmission systems such that Alberta has a cost-effective, safe and reliable electrical supply.One approach to maximize transmission utilization is to dynamically operate systems to the safe limit of theexisting environmental conditions at the time, known as dynamic line rating (DLR). The project brings togethersenior Professors in Electrical, Computer and Mechanical Engineering to investigate how best to predict theenvironmental conditions across multiple spans of a transmission line, and how to use those environmentalconditions to predict the real-time ampacity of the transmission line. The project will work develop practicalsolutions, demonstrating the value of DLR to the system.