Modelling Alberta's power systems load using PMU data
Modelling Alberta's power systems load using PMU data
批准号:
485374-2015
负责人:
Zareipour, Hamidreza
金额:
$1.02万
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:
2018
资助国家:
加拿大
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31
中文摘要
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。阿尔伯塔的电力系统在过去十年中有了显著的扩展。随着系统的发展,阿尔伯塔的系统负荷及其组成也发生了变化。正确建模的负载是很重要的,因为它会影响系统研究的结果,进行技术决策,从决定建立新的输电线路的新设施的互连系统。随着相量测量单元(PMU)在过去十年中在电力系统中的部署,有机会使用PMU数据来改进现有的负荷模型。PMU数据比以前存在的数据更精确,分辨率更高。阿尔伯塔电力系统运营商(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数据的阿尔伯塔负荷模型的改进。在这项研究计划中,我们建议改善现有的负荷数据库为阿尔伯塔的电力系统。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,这些类型是包容性的,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系统的改进负荷模型。将注意规划战神,类型的研究,负荷模型将被使用和季节性的负荷变化。两名全日制和一名兼职硕士水平的学生将通过该计划进行培训。这一计划的成果将是更准确的负荷模型,阿尔伯塔电力系统的研究。这些研究是做出从日常系统操作到长期系统规划的若干技术决策的基础。作出更明智的决定,从而更好的决定将有利于阿尔伯塔纳税人。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善他们的负荷模型,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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