Ieee Std C37 118 2005 Revision Of Ieee Std 1344 1995
Download Ieee Std C37 118 2005 Revision Of Ieee Std 1344 1995 PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Ieee Std C37 118 2005 Revision Of Ieee Std 1344 1995 book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
IEEE Standard for Synchrophasors for Power Systems
This standard defines synchronized phasor measurements used in power system applications. It provides a method to quantify the measurement, tests to be sure the measurement conforms to the definition, and error limits for the test. It also defines a data communication protocol, including message formats for communicating this data in a real-time system.
Smart Grid Stability and Control
This book features papers from the International Conference on Sustainable Power and Energy Research, ICSPER 2024. Covering the spectrum of power and energy, it focuses on various aspects of emerging technologies, research ideas, real-time experiences, and understanding of technology utilization in electrical power and energy systems. The book introduces new ideas in Power system stability, Operation, and Control; Renewable energy resources and energy storage; Power electronics drives and Electric vehicles; Smart grid and wide area monitoring; Data science applications and cyber security in power systems; Energy market and deregulation; Power System Protection; Condition monitoring and HV engineering; Soft computing Techniques in electrical engineering; Power electronic applications in power systems.
Monitoring and Control of Electrical Power Systems using Machine Learning Techniques
Monitoring and Control of Electrical Power Systems using Machine Learning Techniques bridges the gap between advanced machine learning techniques and their application in the control and monitoring of electrical power systems, particularly relevant for heavily distributed energy systems and real-time application. The book reviews key applications of deep learning, spatio-temporal, and advanced signal processing methods for monitoring power quality. This reference introduces guiding principles for the monitoring and control of power quality disturbances arising from integration of power electronic devices and discusses monitoring and control of electrical power systems using benchmark test systems for the creation of bespoke advanced data analytic algorithms. - Covers advanced applications and solutions for monitoring and control of electrical power systems using machine learning techniques for transmission and distribution systems - Provides deep insight into power quality disturbance detection and classification through machine learning, deep learning, and spatio-temporal algorithms - Includes substantial online supplementary components focusing on dataset generation for machine learning training processes and open-source microgrid model simulators on GitHub