The Internet of Things is a rapidly growing field that promises to revolutionize how we interact with and control devices in our environment. As the number of Internet of Things devices increases, the need for efficient and intelligent ways to manage devices becomes increasingly important. However, the heterogeneity and scale of Internet of Things devices pose significant challenges to the effective integration and management. Semantic technology provide a solution by enabling devices to understand and interpret user intentions more accurately. In this study, an improved semantic model was designed based on related concepts and application of semantics in perception and execution for the Internet of Things. The proposed semantic frameworks was highlighted in enabling device-to-device communication and data aggregation, facilitating a holistic understanding of user needs. The importance of open standards and interoperability was also emphasized in realizing the full potential of semantic technology in the Internet of Things. The understanding and control of Internet of Things devices can be improved based on semantic technology, leading to more efficient and user-friendly systems.
Due to the dispersion effect of the traveling wave, the wave speed has frequency variation characteristics, and the error of the fault ranging method using empirical wave speed is large. To address this problem, this paper proposes a fault ranging method based on Multisynchrosqueezing Transform (MSST) for flexible DC transmission lines, the MSST method is used to perform time-frequency analysis of the fault line mode voltage traveling wave, to obtain the precise time and frequency information of the traveling wave arriving at the measurement points on both sides of the line, and to calculate the distance of the fault point according to the double-end ranging principle by combining the frequency variation characteristic curve of the wave speed. Since MSST squeezes the signal several times, it effectively improves the time-frequency aggregation of the signal, and the time-frequency feature extraction of the traveling wave and the identification of the wave head are more accurate. Finally, the effectiveness of the fault ranging algorithm was verified by the simulation of PSCAD and MATLAB.
The access of distributed power sources has changed the structure and operation of distribution networks, which makes protection methods currently no longer applicable, and the small probability of extreme disasters makes protections of distribution network face new challenges. In order to make the protection of active distribution network response to different fault types at the same time, a new method of active distribution network pilot protection based on the comparison of the projected and actual values of voltage fault components is proposed based on the analysis of the voltage fault component characteristics of the distribution network when a fault occurs. The method can effectively identify the faults in the zone under different fault types, and has the advantages of not being affected by unmeasurable branches, not being affected by distributed power penetration, and having strong ability to withstand transition resistance.
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