Abstract
The depletion of non-renewable energy sources together with advancement in the new technologies has fueled the growth of various unconventional sources of energy like wind energy, solar energy, etc., so that customer’s energy demand is met. This has popularized the distributed generations (DG) concept whose adoption has expanded as a result of market deregulation and environmental concerns. But connecting DG to grid may pose a serious problem known as islanding. When a segment of a distributed energy network becomes separated from the utility but is still energized by DGs, this is known as islanding. Thus, the capability to detect islanding is a critical necessity for connecting DG to the power distributed system. Failure to trip the DGs during islanding can cause a slew of issues for various equipment and the loads they are linked to. In order to protect itself, consumer appliances, and line personnel, a DG should disconnect within 100–300 ms after the main supply is lost. To accomplish these objectives, each DG mandatorily provided with some equipment that can detect the islanding operation of DGs. Some equipment which can achieve such results are vector surge relay, ROCOF, etc. An efficient island detection technique (IDT) should have a negligible non-detection zone (NDZ), yet the techniques discussed above have inherent non-detection zone. In this paper, two signal processing approach for islanding detection is used, namely wavelet transform and S-transform. These two approaches are explored in the paper in depth, along with their uses and implication on a DG.
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Priyadarshi, A., Sahoo, R., Tiwari, V., Kumar, J. (2023). Islanding Detection Techniques in Distribution System. In: Namrata, K., Priyadarshi, N., Bansal, R.C., Kumar, J. (eds) Smart Energy and Advancement in Power Technologies. Lecture Notes in Electrical Engineering, vol 926. Springer, Singapore. https://doi.org/10.1007/978-981-19-4971-5_34
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DOI: https://doi.org/10.1007/978-981-19-4971-5_34
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