Dynamic error testing method of electricity meters by a pseudo random distorted test signal

Xuewei Wang, Jing Wang, Ruiming Yuan and Zhenyu Jiang

Applied Energy, 2019, vol. 249, issue C, 67-78

Abstract: The complex random characteristics of dynamic loads in smart grid lead to the metering errors exceed the limits of electricity meters used in real field, these errors are called dynamic errors. By analyzing the typical intrinsic characteristics of large power dynamic loads and the nonadaptive linear modulation of compressive sensing (CS), this paper firstly constructs an orthogonal pseudo random measurement (OPRM) matrix to modulate distorted steady-state test signal (DSTS) and then proposes an orthogonal pseudo random measurement distorted dynamic test signal (OPRM-DDTS) with the intrinsic characteristics. In addition, an indirect likelihood function testing method is also proposed to solve the problems of both electricity meter dynamic error testing and dynamic reference electrical energy traceability. At last, a dynamic error testing system is built for verifying the indirect testing method under orthogonal pseudo random distorted dynamic test signal conditions, the dynamic errors of different electricity meters are given. Experimental results show that the orthogonal pseudo random distorted dynamic test signal and the indirect likelihood function testing method are effective for dynamic error testing of electricity meters, meanwhile, the measurement uncertainty of the dynamic error testing system is better than 0.042% (coverage factor k = 2).

Keywords: Dynamic error; Electricity meter; Compressive sensing; Dynamic load; Test signal (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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DOI: 10.1016/j.apenergy.2019.04.054

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