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This book narrates an assessment of numerous advanced power converters employed on primitive phase to enhance the efficiency of power translation pertaining to renewable energy systems. It presents the mathematical modelling, analysis, and control of recent power converters topologies, namely, AC/DC, DC/DC, and DC/AC converters. Numerous advanced DC-DC Converters, namely, multi-input DC-DC Converter, Cuk, SEPIC, Zeta and so forth have been assessed mathematically using state space analysis applied with an aim to enhance power efficiency of renewable energy systems. This book is aimed at researchers, graduate students in electric power engineering, power and industrial electronics, and renewable energy.
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The goals of restructuring of the power sector are competition and operating efficiency in the power industry that result in reliable, economical, and quality power supply to consumers. This comprehensive reference text provides an in-depth insight into these topics.Deregulated Electricity Structures and Smart Grids discusses issues including renewable energy integration, reliability assessment, stability analysis, reactive power compensation in smart grids, and harmonic mitigation, in the context of the deregulated smart electricity market. It covers important concepts including AC and DC grid modelling, harmonics mitigation and reactive power compensation in the deregulated smart grid, and extraction of energy from renewable energy sources under the deregulated electricity market with the smart grid.The text will be useful for graduate students and professionals in the fields of electrical engineering, electronics and communication engineering, renewable energy, and clean technologies.
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"Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies analyzes the changes in this energy generation shift, including issues of grid stability with variability in renewable energy vs. traditional baseload energy generation. Providing solutions to current critical environmental, economic and social issues, this book comprises various complex nonlinear interactions among different parameters to drive the integration of renewable energy into the grid. It considers how artificial intelligence and machine learning techniques are being developed to produce more reliable energy generation to optimize system performance and provide sustainable development."--
Renewable energy sources. --- Artificial intelligence --- Engineering --- Alternate energy sources --- Alternative energy sources --- Energy sources, Renewable --- Sustainable energy sources --- Power resources --- Renewable natural resources --- Agriculture and energy --- Engineering applications. --- Data processing --- Renewable energy sources --- Data processing.
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In the era of propelling traditional energy systems to evolve towards smart energy systems, including power generation, energy storage systems, and electricity consumption have become more dynamic. The quality and reliability of power supply are impacted by the sporadic and rising use of electric vehicles, domestic loads, and industrial loads. Similarly, with the integration of solid state devices, renewable sources, and distributed generation, power generation processes are evolving in a variety of ways. Several cutting-edge technologies are necessary for the safe and secure operation of power systems in such a dynamic setting, including load distribution, automation, energy regulation & control, and energy trading. This book covers the applications of various big data analytics,artificial intelligence, and machine learning technologies in smart grids for demand prediction, decision-making processes, policy, and energy management. The book delves into the new technologies for modern power systems such as the Internet of Things, Blockchain for smart home and smart city solutions in depth.
Artificial intelligence --- Smart power grids --- Engineering applications
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