{"title":"Chromaticity-based optoacoustic condition monitoring of high voltage circuit breaker","authors":"T. Owoeye, J. W. Spencer, R. Ferrero, G. Jones","doi":"10.1109/AMPS.2016.7602857","DOIUrl":"https://doi.org/10.1109/AMPS.2016.7602857","url":null,"abstract":"An approach is described for monitoring and characterizing the operating condition of high voltage circuit breakers. The approach employs optical fiber acoustic sensors to detect vibro-acoustic signals from the circuit breaker. The optical outputs are converted into electronic signals via a remote acoustic monitoring unit (AMU). The signals are then processed using a chromatic analysis technique to characterize the complex operation of the circuit breaker using only three parameters. The preliminary results obtained indicate that it is possible to distinguish changes in hydraulic pressure of the circuit breaker operating mechanism during final contact separation post-arc window for switching various levels of fault currents. This provides a means to monitor non-intrusively on line with good high voltage insulation capability and immunity to radio frequency interference.","PeriodicalId":290041,"journal":{"name":"2016 IEEE International Workshop on Applied Measurements for Power Systems (AMPS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127268703","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Ferdowsi, M. Mirz, A. Sadu, A. Monti, F. Ponci, C. Muscas
{"title":"Modular intelligent node for distribution systems","authors":"M. Ferdowsi, M. Mirz, A. Sadu, A. Monti, F. Ponci, C. Muscas","doi":"10.1109/AMPS.2016.7602862","DOIUrl":"https://doi.org/10.1109/AMPS.2016.7602862","url":null,"abstract":"This paper presents a low-cost, re-configurable Modular Intelligent Node for Distribution systems (MIND). It can serve as a sustainable and general-purpose module for monitoring and automation of power distribution systems. MIND is designed and built with low-cost hardware, interconnectivity with other modules, and highly reconfigurable design of hardware and software to support newly added monitoring and automation tasks. For tasks requiring limited computational power, MIND uses its local hardware, otherwise it uses the computational power of other MINDS within the same network or cloud services. The tests here show time synchronization and then application of MIND for power quality metering in an IEC 61850 framework. In this study, MIND is synchronized to the UTC time using the IEEE 1588 Precision Time Protocol (PTP) V2 protocol and the RMS calculation is done according to the IEC 6100-4-30 standard. Results show the accuracy of the time synchronization, the ability to track the voltage sags and swells, and the reporting latency.","PeriodicalId":290041,"journal":{"name":"2016 IEEE International Workshop on Applied Measurements for Power Systems (AMPS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129825981","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yong Xiao, Wei Zhao, Lei Chen, Songling Huang, Qing Wang
{"title":"Fast Quasi-Synchronous Harmonic Algorithm based on weight window function — Mixed Radix FFT","authors":"Yong Xiao, Wei Zhao, Lei Chen, Songling Huang, Qing Wang","doi":"10.1109/AMPS.2016.7602865","DOIUrl":"https://doi.org/10.1109/AMPS.2016.7602865","url":null,"abstract":"According to the requirements of IEC61850-9-2LE, digital energy metering devices mainly adopt 80×fr fixed sampling rate. When the harmonic analysis is carried out under asynchronous sampling, it will produce large errors due to spectral leakage. Quasi-Synchronous Algorithm has high accuracy, but the calculation process is complicated and the hardware overheads are high. Based on the characteristics of digital energy metering devices, this paper puts forward a Fast Quasi-Synchronous Harmonic Algorithm using weight window function combined with Mixed Radix Fast Fourier Transform Algorithm. It will reduce the calculation by more than 94%. Compared with the Triangle/Hanning/Nuttall4(III)-Windowed Interpolated FFT Algorithm, the proposed algorithm will perform better in accuracy and has the feature that the more asynchronous of the sampling, the more obvious the error will be.","PeriodicalId":290041,"journal":{"name":"2016 IEEE International Workshop on Applied Measurements for Power Systems (AMPS)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126560687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}