A New Hybrid State Estimation Considering Different Accuracy Levels of PMU and SCADA Measurements

IF 5.9 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Instrumentation and Measurement Pub Date : 2018-10-17 DOI:10.1109/TIM.2018.2872446
Mehdi Kabiri;Nima Amjady
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引用次数: 29

Abstract

This paper proposes a new hybrid state estimation (SE) model where the supervisory control and data acquisition (SCADA) and phasor measurement unit (PMU) measurements are decoupled. The proposed hybrid SE can effectively handle different accuracy levels of PMU and SCADA measurements which is a problem for conventional hybrid SEs due to increasing the condition number of SE gain matrix. In addition, the proposed hybrid SE model is fully compatible with PMU measurements, particularly current measurements, which increase the complexity of conventional hybrid SE formulation. The proposed hybrid SE model is tested on the IEEE 118-bus test system as well as on the real-world Iran's power system. Moreover, the proposed hybrid SE is compared with conventional hybrid SE using a large number of scenarios modeling uncertain telemetry noises. The comparative results illustrate better performance of the proposed hybrid SE than conventional hybrid SE in terms of the gain matrix condition number, SE run time, and SE accuracy.
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一种新的考虑PMU和SCADA测量不同精度水平的混合状态估计
本文提出了一种新的混合状态估计(SE)模型,其中监控和数据采集(SCADA)和相量测量单元(PMU)测量解耦。所提出的混合SE可以有效地处理PMU和SCADA测量的不同精度水平,这对于传统的混合SE来说是一个问题,因为增加了SE增益矩阵的条件数。此外,所提出的混合SE模型与PMU测量完全兼容,特别是电流测量,这增加了传统混合SE公式的复杂性。所提出的混合SE模型在IEEE 118总线测试系统以及真实世界的伊朗电力系统上进行了测试。此外,使用大量建模不确定遥测噪声的场景,将所提出的混合SE与传统的混合SE进行了比较。比较结果表明,在增益矩阵条件数、SE运行时间和SE精度方面,所提出的混合SE比传统混合SE具有更好的性能。
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来源期刊
IEEE Transactions on Instrumentation and Measurement
IEEE Transactions on Instrumentation and Measurement 工程技术-工程:电子与电气
CiteScore
9.00
自引率
23.20%
发文量
1294
审稿时长
3.9 months
期刊介绍: Papers are sought that address innovative solutions to the development and use of electrical and electronic instruments and equipment to measure, monitor and/or record physical phenomena for the purpose of advancing measurement science, methods, functionality and applications. The scope of these papers may encompass: (1) theory, methodology, and practice of measurement; (2) design, development and evaluation of instrumentation and measurement systems and components used in generating, acquiring, conditioning and processing signals; (3) analysis, representation, display, and preservation of the information obtained from a set of measurements; and (4) scientific and technical support to establishment and maintenance of technical standards in the field of Instrumentation and Measurement.
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