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Optimal PMU design based on sampling model and sensitivity analysis

The precise measurements of the synchrophasor and frequency from phasor measurement units (PMUs) are widely used in power grid applications. With the improvement of the technique, applications always require stable dynamic performance and higher accuracy for the synchrophasor and frequency measureme...

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Bibliographic Details
Published in:International journal of electrical power & energy systems 2023-06, Vol.148 (C), p.109004, Article 109004
Main Authors: Wu, Yuru, Yin, He, Qiu, Wei, Liu, Yilu, Gao, Shengyou
Format: Article
Language:English
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Summary:The precise measurements of the synchrophasor and frequency from phasor measurement units (PMUs) are widely used in power grid applications. With the improvement of the technique, applications always require stable dynamic performance and higher accuracy for the synchrophasor and frequency measurements, which is challenging for PMU development. To evaluate the contribution of PMU hardware to measurement accuracy, this paper proposes a general-purpose sampling model to analyze the measurement error. In the proposed sampling model, a strict mathematical derivation is derived, where its error is purely determined by the parameters of the PMU hardware. The sensitivity analysis is carried out by three methods, including mathematical analysis, computer simulation, and variance-based sensitivity analysis. Through the sensitivity analysis, this paper establishes the systematic formulation and the inclusion of synchrophasor, frequency, and ROCOF. Experimental results based on the real-world testbench involving distribution-level PMUs match the mathematical analysis conclusion, which verifies the correctness of the general-purpose sampling model. Furthermore, a strategy for the optimal PMU design is proposed, which could guide PMU design in the future. •A general-purpose sampling model based on PMU hardware is built.•Sensitivity analyses reveal the impact of hardware parameters on PMU accuracy.•Multiple experiments are performed in the laboratory to validate the model.•A strategy for the optimal PMU design is proposed.
ISSN:0142-0615
1879-3517
DOI:10.1016/j.ijepes.2023.109004