Advanced Approaches, Business Models, and Novel Techniques for Management and Control of Smart Grids
Material type:
ArticleLanguage: English Publication details: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020Description: 1 electronic resource (210 p.)ISBN: - books978-3-03936-759-7
- 9783039367580
- 9783039367597
- History of engineering & technology
- power system oscillations
- stability
- Prony method
- intrinsic mode functions (IMFs)
- wide-area measurement system (WAMS)
- phasor measurement units (PMUs)
- frequency stability
- load frequency control
- communication system delay
- virtual inertia
- microgrid
- recursive damped least squares
- black-box modeling
- online identification
- energy management system
- demand-side management
- uncertainty
- energy storage
- distributed generation
- activity recognition
- activity detection
- activity prediction
- smart building
- energy and comfort management
- digital microgrid
- power grid
- integer linear programming
- routing energy
- distributed energy resources
- Dijkstra algorithm
- Islanding detection
- modern power system
- anti-islanding
- protection
- sequence components
- earth fault location
- negative sequence current
- holistic power system architecture
- smart grid
- fractal design
- fractal grid
- LINK-paradigm
- market design
- local electricity market
- large-scale
- distributed generations
- low-voltage active distribution network
- islanded mode
- non-homogeneous model
- synchronization
- n/a
Open Access star Unrestricted online access
The current power system should be renovated to fulfill social and industrial requests and economic advances. Hence, providing economic, green, and sustainable energy are key goals of advanced societies. In order to meet these goals, recent features of smart grid technologies need to have the potential to improve reliability, flexibility, efficiency, and resiliency. This book aims to address the mentioned challenges by introducing advanced approaches, business models, and novel techniques for the management and control of future smart grids.
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