Power System

In simulation tests of dynamic states of the power system (PS), the database of parameters of mathematical models of generating units is most commonly used. In many cases, the parameter values are burdened with large errors.

This CIGRE Green Book describes the state-of-the-art of power Systems asset management dealing with all aspects asset management practice. The major focus of the book is on documenting practical methods that bridge the gap between just satisfying an asset management process and achieving real asset management results in the form of smarter investment decisions.

This book includes original, peer-reviewed research papers from the 37th Annual Conference of Power System and Automation in Chinese Universities (CUS-EPSA), held in Hangzhou, China on October 23-25, 2022. These papers cover topics as Evolution and development path of the power system, Resilience assessment, analysis and planning of power system, Power system planning and reliability, Modelling and simulation of novel power system, Power electronic for power system stability analysis, Power system relay protection and automation and so on.

This book presents the state-of-the-art methods and procedures necessary for operating a power system. It takes into account the theoretical investigations and practical considerations of the modern electrical power system. It highlights in a systematic way the following sections: Power Sector Scenario in India, Distribution Planning and Optimization, Best practices in Operation & Maintenance of Sub-Transmission & Distribution Lines, Best Practices in Operation and Maintenance of Distribution Substation Equipment’s and Auxiliaries, Best Practice in Operation & Maintenance of Transformer and Protection Systems, International Best Practices in Operation & Maintenance (Advanced Gadgets), Aerial Bunch Conductor (ABC) based Distribution System, Best Practices in Operation & Maintenance of Energy Meters.

This book presents integrated optimization methods and algorithms for power system problems along with their codes in MATLAB. Providing a reliable and secure power and energy system is one of the main challenges of the new era. Due to the nonlinear multi-objective nature of these problems, the traditional methods are not suitable approaches for solving large-scale power system operation dilemmas. The integration of optimization algorithms into power systems has been discussed in several textbooks, but this is the first to include the integration methods and the developed codes.

Accurate, fast, and reliable fault classification techniques are an important operational requirement in modern-day power transmission systems. Application of Signal Processing Tools and Neural Network in Diagnosis of Power System Faults examines power system faults and conventional techniques of fault analysis. The authors provide insight into artificial neural networks and their applications, with illustrations, for identifying power system faults. Wavelet transform and its application are discussed as well as an elaborate method of Stockwell transform.

This book gathers outstanding research papers presented in the International Conference on Computational Intelligence and Emerging Power System (ICCIPS 2021), held on March 9-10, 2021, at Engineering College Ajmer.

This book addresses the pressing challenges faced by renewable power system operation (RPSO) due to the increasing penetration of renewable energy and flexible load. These challenges can be divided into two categories. Firstly, the inherent uncertainties associated with renewable energy sources pose significant difficulties in RPSO. Secondly, the presence of various types of flexible load, along with their complex constraint relationships, adds to the operational complexities. Recognizing the growing emphasis on the economic and low-carbon aspects of RPSO, this book focuses on the key issues of flexible load control. It mainly consists of following categories: (1) The control of data centers, a booming flexible load, to enhance RPSO through renewable energy integration and advanced robust multi-objective optimization. (2) The introduction of flexible industrial load control, employing effective demand-supply cooperative responding strategies for RPSO. (3) The exploration of electricvehicle flexible charging load control and centralized electric vehicle charging system control in the context of RPSO. The book also covers the emerging field of flexible integrated load control for renewable energy-based comprehensive energy system operation. Aimed at researchers, engineers, and graduate students in electrical engineering and computer science, this book provides a valuable resource for understanding and implementing flexible load control in the context of RPSO.