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Microgrids/Nanogrids Implementation, Planning, and Operation
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Today’s power system is facing the challenges of increasing global demand for electricity, high-reliability requirements, the need for clean energy and environmental protection, and planning restrictions. To move towards a green and smart electric power system, centralized generation facilities are being transformed into smaller and more distributed ones. As a result, the microgrid concept is emerging, where a microgrid can operate as a single controllable system and can be viewed as a group of distributed energy loads and resources, which can include many renewable energy sources and energy storage systems. The energy management of a large number of distributed energy resources is required for the reliable operation of the microgrid. Microgrids and nanogrids can allow for better integration of distributed energy storage capacity and renewable energy sources into the power grid, therefore increasing its efficiency and resilience to natural and technical disruptive events. Microgrid networking with optimal energy management will lead to a sort of smart grid with numerous benefits such as reduced cost and enhanced reliability and resiliency. They include small-scale renewable energy harvesters and fixed energy storage units typically installed in commercial and residential buildings. In this challenging context, the objective of this book is to address and disseminate state-of-the-art research and development results on the implementation, planning, and operation of microgrids/nanogrids, where energy management is one of the core issues.
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Keywords
- Bonobo Optimizer
- clean energy
- converter control system
- Cooperation
- distributed generation, microgrid
- droop control
- dynamic voltage restorer
- economic energy
- economic scheduling
- energy
- energy demand
- Energy Storage
- frequency restoration
- grid synchronization
- grid-synchronization
- Hierarchical Control
- History of engineering & technology
- hybrid renewable energy system
- lightning attachment procedure optimization (LAPO) algorithm
- LMI
- long-term forecasting
- Machine learning
- microgrid
- Monte Carlo
- n/a
- optimization
- photovoltaic panel
- Primary
- proportional resonant controller
- PV panels
- quantum mayfly algorithm (QMA)
- R programming
- Reliability
- Robust control
- secondary control
- Sliding mode control
- smart energy control
- solar power generation
- support vector regression
- Technology, engineering, agriculture
- Technology: general issues
- uncertainty
- voltage restoration
- wind turbine
Links
DOI: 10.3390/books978-3-0365-5652-9Editions