Pathways To A Smarter Power System
Download Pathways To A Smarter Power System PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Pathways To A Smarter Power System 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.
Pathways to a Smarter Power System
Pathways to a Smarter Power System studies different concepts within smart grids that are used in both industry and system regulators (e.g. distribution and transmission system operators) and research. This book covers these concepts from multiple perspectives and in multiple contexts, presenting detailed technical information on renewable energy systems, distributed generation and energy storage units, methods to activate the demand side of power systems, market structure needs, and advanced planning concepts and new operational requirements, specifically for power system protection, technological evolvements, and requirements regarding technology in ICT, power electronics and control areas. This book provides energy researchers and engineers with an indispensable guide on how to apply wider perspectives to the different technological and conceptual requirements of a smarter power system. - Includes concepts regarding conceptual and technological needs and investment planning suggestions for smart grid enabling strategies - Contains new electric power system operational concepts required by industry, along with R&D studies addressing new solutions to potential operational problems - Covers pathways to smarter power systems from successful existing examples to expected short, medium and long-term possibilities
Artificial Intelligence-based Smart Power Systems
Author: Sanjeevikumar Padmanaban
language: en
Publisher: John Wiley & Sons
Release Date: 2023-02-01
ARTIFICIAL INTELLIGENCE-BASED SMART POWER SYSTEMS Authoritative resource describing artificial intelligence and advanced technologies in smart power systems with simulation examples and case studies Artificial Intelligence-based Smart Power Systems presents advanced technologies used in various aspects of smart power systems, especially grid-connected and industrial evolution. It covers many new topics such as distribution phasor measurement units, blockchain technologies for smart power systems, the application of deep learning and reinforced learning, and artificial intelligence techniques. The text also explores the potential consequences of artificial intelligence and advanced technologies in smart power systems in the forthcoming years. To enhance and reinforce learning, the editors include many learning resources throughout the text, including MATLAB, practical examples, and case studies. Artificial Intelligence-based Smart Power Systems includes specific information on topics such as: Modeling and analysis of smart power systems, covering steady state analysis, dynamic analysis, voltage stability, and more Recent advancement in power electronics for smart power systems, covering power electronic converters for renewable energy sources, electric vehicles, and HVDC/FACTs Distribution Phasor Measurement Units (PMU) in smart power systems, covering the need for PMU in distribution and automation of system reconfigurations Power and energy management systems Engineering colleges and universities, along with industry research centers, can use the in-depth subject coverage and the extensive supplementary learning resources found in Artificial Intelligence-based Smart Power Systems to gain a holistic understanding of the subject and be able to harness that knowledge within a myriad of practical applications.
Regulatory Pathways For Smart Grid Development in China
The study’s recommendations describe institutional elements in the context of electric power sector regulation and has the objective to increase the understanding of the interdependencies of the institutional elements. In future work, the study results might be employed for designing very specific regulatory policies. The recommendations developed in this study focus primarily on the regulatory framework for smart grids and contains a quite detailed description of how the German electricity markets evolved. It also focuses on the effects of ambitiously expanding generation capacities of renewable energy sources (RES) on established electricity markets. The presented evidence will provide insights on how the regulatory framework in China could be designed to foster smart grids developments in the context of establishing electricity markets and expanding RES generation capacities.