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Modelling Alberta's power systems load using PMU data

Modelling Alberta's power systems load using PMU data
使用 PMU 数据对艾伯塔省电力系统负载进行建模
批准号:
485374-2015
负责人:
Zareipour, Hamidreza
金额:
$1.46万
依托单位:
依托单位国家:
加拿大
项目类别:
Collaborative Research and Development Grants
财政年份:
2016
资助国家:
加拿大
项目状态:
已结题
起止时间:
2016-01-01 至 2017-12-31

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中文摘要
翻译
研究电力系统的一个主要组成部分是消耗系统中所有发电量的电力负荷。艾伯塔省的电力系统在过去十年里有了显着的扩张。随着系统的发展,艾伯塔省的系统负荷和组成也发生了变化。对负荷进行适当的建模很重要,因为它影响为作出技术决策而进行的系统研究的结果,从建造新输电线路的决定到有关新设施与系统互联的决定。随着相量测量单元(PMU)在过去十年中在电力系统中的部署,利用PMU数据来改进现有的负荷模型成为可能。与已有数据相比,PMU数据具有更高的精度和分辨率。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一合作研发计划,以调查和实施基于PMU数据的艾伯塔省负荷模型的改进。在这项研究计划中,我们建议改善艾伯塔省电力系统现有的负荷数据库。基于改进的数据库,我们将把负载分组为可管理数量的负载类型,这些负载类型包括在内,但实际上是可维护的。PMU数据将用于识别、测试和验证艾伯塔省系统改进的负荷模型。将注意规划区域、要使用负荷模型的研究类型以及负荷变化的季节性。通过该项目将培养两名全日制和一名兼职硕士研究生。该计划的结果将是艾伯塔省电力系统研究的更准确的负荷模型。这些研究是做出从日常系统运行到长期系统规划的几项技术决策的基础。做出更有见地的决定,从而做出更好的决定将使艾伯塔省的差饷缴纳人受益。此外,这项研究中获得的经验将帮助其他加拿大电力公司改进其负荷模型,从而使加拿大电力消费者受益。
英文摘要
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.
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Modelling Uncertainty in Modern Power Systems
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