Dynamic Error Testing of Electricity Meter Based on Distorted m-sequence Dynamic Test Signal
Wang Jing, Wang Xuewei
Abstract:
The complex random characteristics of smart grid lead to large dynamic errors of static electricity meters in electrical energy metering. According to the typical intrinsic characteristics of large power dynamic loads (LPDL), this paper firstly proposes a distorted m-sequence dynamic test (DmDT) signal model to reflect the characteristics. In addition, a likelihood function indirect testing method is also proposed to solve the problems of both static electricity meter dynamic error testing and dynamic reference electrical energy traceability. Then, a dynamic error testing system is also built for verifying the likelihood function indirect testing method under different DmDT signal conditions and the dynamic error testing results are given out. Experimental results show that the DmDT signal and the likelihood function indirect testing method are effective for dynamic error testing of static electricity meters. At last, the measurement uncertainty of the dynamic error testing system is better than 0.04% (coverage factor k = 2).
Keywords:
dynamic error, static electricity meter, dynamic load, test signal
