Faculty Publications
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Item STFT Filter Bank Based Islanding Detection Technique(Institute of Electrical and Electronics Engineers Inc., 2023) Pinto, J.A.; Vittal, K.P.Depleting coal reserves and increasing carbon emissions have propelled the use of renewable energy sources to generate electricity. Microgrids have been recognised as one of the solutions to provide continuity of power to critical loads even during natural disasters, as they can connect or disconnect from the main grid. The presence or absence of the grid is critical to the operation of the various inverter-based resources and load management in the Microgrid. Various active and passive methods have been proposed by researchers to detect islanding. This paper focuses on detecting the islanding condition based on the filter bank approach of Short Time Fourier Transform. The voltage at the interface of distributed generation was sensed and the amplitude of a particular frequency component was estimated using the filter bank approach. The estimated amplitude was then checked against a set threshold to detect islanding. The proposed islanding detection technique was tested and was found effective on a sample Microgrid for conditions like normal operation, operation during faults and operation during turning ON and OFF loads and sources. © 2023 IEEE.Item Adaptive Protection of Solar PV Microgrid Without ESS(Springer Science and Business Media Deutschland GmbH, 2024) Meitei, L.P.; Vittal, K.P.; Pinto, J.A.Conventional sources play a major role in today’s power scenario. However, the trend has now been shifted toward non-conventional sources, viz., Solar, wind, tidal, etc. considering the depletion rate of fossil fuels, transmission losses and environmental impacts. As a result, Microgrids are getting popular nowadays due to its high reliability, nature of operation, and low operational cost. In this paper, an adaptive protection scheme is developed in MATLAB for a solar PV Microgrid without Energy Storage Systems (ESS) which can operate in both Grid connected mode (GCM) and Islanded Mode (IM). © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2024.Item Passive Islanding Detection Scheme Based on Instantaneous Voltage and Current for a Multi-DG Microgrid(Institute of Electrical and Electronics Engineers Inc., 2024) Pinto, J.A.; Vittal, K.P.; Manjunatha Sharma, K.M.The electricity grid has been transforming since its inception. The increase in carbon emissions and scarcity of fossil fuels has led to using renewable energy sources for power generation. In recent times, microgrids have been gaining popularity, as they can connect to the grid or disconnect from the grid to supply power to the local loads during grid failure and calamities. The presence or absence of the utility grid is crucial to the overall operation of the microgrid. This paper focuses on early islanding detection by considering the instantaneous values of phase voltage and line currents. In the proposed method, the relative position of voltage and current signals are monitored, and a coincidence index keeps track of any change in their relative positions. During the grid-connected operation, the coincidence index remains low. However, when the grid is disconnected, the coincidence index rises. Islanding is detected when the coincidence index crosses a fixed threshold. MATLAB/Simulink-based simulation studies were carried out on the IEEE 13 bus system to check the effectiveness of the proposed Instantaneous Islanding Detection technique during normal operation, faults, switching of loads, and switching of Distributed Generators. It was found that the proposed scheme could detect islanding in less than one-fourth of the cycle and has a low non-detection zone. Also, during the evaluation, the proposed instantaneous islanding detection technique identified islanding much earlier than existing methods. © 2024 The Authors.