Modelling Alberta's power systems load using PMU data

研究电力系统的一个主要组成部分是用电负荷，它消耗了系统中所有的发电量。在过去的十年里，艾伯塔省的电力系统得到了显著的扩展。阿尔伯塔省的系统负荷及其组成也随着系统的发展而变化。适当地模拟负荷是很重要的，因为它会影响系统研究的结果，这些研究是为了做出技术决策而进行的，从决定建造新的输电线路到决定将新设施连接到系统。在过去的十年中，随着相量测量单元（PMU）在电力系统中的部署，有机会使用PMU数据来改进现有的负载模型。与以前存在的数据相比，PMU数据更精确，分辨率更高。艾伯塔省电力系统运营商（AESO）与卡尔加里大学合作开展了这项合作研究和开发计划，以调查和实施基于PMU数据的艾伯塔省负荷模型的改进。在本研究计划中，我们提出了对艾伯塔省电力系统现有负荷数据库的改进。基于改进的数据库，我们将把负载分组为可管理的数量的负载类型，这些类型具有包容性，但实际上是可维护的。PMU数据将用于识别、测试和验证阿尔伯塔省系统的改进负载模型。将注意规划领域、将使用负荷模型的研究类型和负荷变化的季节性。该项目将培养两名全日制硕士研究生和一名非全日制硕士研究生。该项目的结果将为艾伯塔省电力系统研究提供更准确的负荷模型。这些研究是做出一些技术决策的基础，从日常的系统操作到长期的系统规划。做出更明智的决策将有利于艾伯塔省的纳税人。此外，在这项研究中获得的经验将有助于其他加拿大电力公司改进他们的负荷模型，从而使加拿大的电力消费者受益。**

One major component in studying power systems is the electric load that consumes all the generated electricity in the system. Alberta's power system has expanded significantly over the past decade. The Alberta's system load and its composition has also changed as the system has grown. Properly modelling the load is important because it impacts the outcomes of system studies that are conducted to make technical decisions, from decisions to build new transmission lines to those concerning interconnection of new facilities to the system. With the deployment of phasor measurement units (PMU) in power systems over the past decade, there is an opportunity to use PMU data to improve existing load models. PMU data is more precise and has higher resolution compared to the data that previously existed. The Alberta Electric System Operator (AESO) has partnered with the University of Calgary in this collaborative research and development program to investigate and implement improvements to Alberta load models based on PMU data. In this research program, we propose to improve the existing load database for Alberta's power system. Based on the improved database, we will group the loads into a manageable number of load types that is inclusive and yet practically maintainable. PMU data will be used to identify, test and validate improved load models for Alberta's system. Attention will be paid to planning ares, type of studies for which the load models are to be used and seasonality of load variations. Two full-time and one part-time Master's level students will be trained through this program. The outcome of this program will be more accurate load models for Alberta power system studies. Those studies are the basis of making several technical decisions, from day-to-day system operation to long-term system planning. Making more informed, and thus better decisions will benefit Alberta ratepayers. Also, the experience gained in this research will help other Canadian power utilities improve their load models, and thus, benefiting Canadian electricity consumers. **