Future Smart Grid Systems

• Format: eBook
• Language: English
• Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
• Subjects: Research and information: general; Technology: general issues; automatic intrusion mitigation unit; binary logistic regression; capacity prediction; centralised hydrogen production; community energy management; conditional value at risk; continuous wavelet transform (CWT); cost analysis; cybersecurity; decentralized; deep neural networks; demand flexibility; demand response; digitalization; dynamic programming; energy management; energy storage; FPID controller; HVAC control; hydrogen economy; improved multi-layer artificial bee colony algorithm; industry 4.0; interconnected power system; island communities; life cycle costing; lithium-ion battery; market regulations; methane reforming; microgrid; nonlinear optimization; optimization; parameter tuning; phasor machine learning; regulatory barriers; renewable energy; risk-based hybrid demand response; Sensors; short-term load forecasting; smart grids (intelligent networks); state of health estimation; storage policy; sustainability; SWOT analysis; time-frequency image analysis; two-stage optimization; uncertainties; Virtual Oscillator Control; voltage-mode inverter; water electrolysis; wireless network
• Online Access: Open Access: DOAB: description of the publication; Open Access: DOAB, download the publication
• Physical Description: 1 online resource (241 p.)
• ISBN: 9783036513355; 9783036513362; books978-3-0365-1335-5
• Access: Open Access

This book focuses on the analysis, design and implementation of future smart grid systems. This book contains eleven chapters, which were originally published after rigorous peer-review as a Special Issue in the International Journal of Energies (Basel). The chapters cover a range of work from authors across the globe and present both the state-of-the-art and emerging paradigms across a range of topics including sustainability planning, regulations and policy, estimation and situational awareness, energy forecasting, control and optimization and decentralisation. This book will be of interest to researchers, practitioners and scholars working in areas related to future smart grid systems.