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This paper proposes a SUGPDS model based on Detection and Isolation algorithm and smart sensors, namely micro phasor measurement unit, smart sensing and switching device, phasor data concentrator, and ZigBee technology, etc. for the identification, classification, and isolation of the various fault occurs in the underground power cable in the distribution system. The proposed SUGPDS is a quick and smart tool in supervising, managing, and controlling various faults and issues and maintaining the reliability, stability, and uninterrupted flow of electricity. First, the SUGPDS model is analyzed using a distributed parameter approach. Then, the proper arrangement of the system required for the implantation of SUGPDS is demonstrated using figures. The Phasor data concentrator plays an essential role in developing the detection and classification report for identification and classification. Finally, smart sensing and switching device installed at a different location isolated the faulty phase from a healthy network. This approach helps to decrease power consumption. Hence, SUGPDS has super abilities compared to the underground power distribution system. The effectiveness of the proposed method and model is demonstrated via figures and tables. Keywords Fault detection and isolation • Micro phasor measurement unit (µPMU) • Underground power cable • Phasor data concentrator (PDC) • Smart sensing and switching device (SSSD) • Smart underground power distribution system (SUGPDS) • Short-circuit fault • Open-circuit fault • Ground fault

In almost all industries adjustable-speed motor drives are used.Electric drives have inherent advantages over other prime movers.Conventionally, dc motors have been used in such applications.However, moderndevelopments in semiconductor power electronics, microelectronics and artificial intelligence have made it possible to use ac motors in many variable speed drive applications. Introduction of new control techniques, like vector control, variable-structure control with sliding-mode features have made ac motorsviable alternatives to dc motors in high-performance drive applications. These complex techniques have been made possible due to implementation of microprocessors / microcontrollers / microcomputers/soft computing techniques (GA, Fuzzy Logic, ANN). In this paper development of the control is discussed, focusing on recent trends suitable for practical applications in industry with good dynamic behaviour.

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