This book presents the state-of-the-art approach for transmission line protection schemes for smart power grid. It provides a comprehensive solution for real-time development of numerical relaying schemes for future power grids which can minimize cascade tripping and widespread blackout problems prevailing all around the world. The book also includes the traditional approach for transmission line protection along with issues and challenges in protection philosophy. It highlights the issues for sheltering power grid from unwanted hazards with very fundamental approach. The book follows a step-by-step approach for resolving critical issues like high impedance faults, power swing detection and auto-reclosing schemes with adaptive protection process. The book also covers the topic of hardware solution for real-time implementation of auto-reclosing scheme for transmission line protection schemes along with comparative analysis with the recently developed analytical approach such as Artificial Neural Network (ANN), Support Vector Machine (SVM) and other machine learning algorithms. It will be useful to researchers and industry professionals and students in the fields of power system protection.

This book provides a comprehensive overview of protection schemes used for power transformers and describes the internal fault conditions and external abnormalities that may disrupt the operation of a power transformer. It also highlights the issues of current protective schemes, which pose several challenges in terms of the detection of internal faults and abnormalities, including computational burden, reduced accuracy, difficulty to implement, increased cost, computational complexity, impermeability to high resistance faults (HRF), and malfunction in conditions like cross-country fault. To address these problems, the book develops an effective novel transformer protection scheme that can eliminate all the said difficulties using an innovative algorithm. Given its scope, it is a useful resource for researchers and practitioners working in the field of power system protection, allowing them to design novel protection schemes, and providing insights into the hardware validation of developed technique.

This book provides a comprehensive overview of protection schemes used for power transformers and describes the internal fault conditions and external abnormalities that may disrupt the operation of a power transformer. It also highlights the issues of current protective schemes, which pose several challenges in terms of the detection of internal faults and abnormalities, including computational burden, reduced accuracy, difficulty to implement, increased cost, computational complexity, impermeability to high resistance faults (HRF), and malfunction in conditions like cross-country fault. To address these problems, the book develops an effective novel transformer protection scheme that can eliminate all the said difficulties using an innovative algorithm. Given its scope, it is a useful resource for researchers and practitioners working in the field of power system protection, allowing them to design novel protection schemes, and providing insights into the hardware validation of developed technique.

This book presents the state-of-the-art approach for transmission line protection schemes for smart power grid. It provides a comprehensive solution for real-time development of numerical relaying schemes for future power grids which can minimize cascade tripping and widespread blackout problems prevailing all around the world. The book also includes the traditional approach for transmission line protection along with issues and challenges in protection philosophy. It highlights the issues for sheltering power grid from unwanted hazards with very fundamental approach. The book follows a step-by-step approach for resolving critical issues like high impedance faults, power swing detection and auto-reclosing schemes with adaptive protection process. The book also covers the topic of hardware solution for real-time implementation of auto-reclosing scheme for transmission line protection schemes along with comparative analysis with the recently developed analytical approach such as Artificial Neural Network (ANN), Support Vector Machine (SVM) and other machine learning algorithms. It will be useful to researchers and industry professionals and students in the fields of power system protection.