Microgrids/Nanogrids Implementation, Planning, and Operation

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...

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Bibliographic Details
Other Authors: Benbouzid, Mohamed (Editor), Muyeen, S. M. (Editor)
Format: Electronic Book Chapter
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
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DOAB: description of the publication
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520 |a 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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653 |a energy demand 
653 |a long-term forecasting 
653 |a machine learning 
653 |a R programming 
653 |a solar power generation 
653 |a support vector regression 
653 |a economic energy 
653 |a Bonobo Optimizer 
653 |a hybrid renewable energy system 
653 |a microgrid 
653 |a PV panels 
653 |a wind turbine 
653 |a energy storage 
653 |a hierarchical control 
653 |a primary 
653 |a secondary control 
653 |a droop control 
653 |a frequency restoration 
653 |a voltage restoration 
653 |a grid synchronization 
653 |a proportional resonant controller 
653 |a robust control 
653 |a distributed generation, microgrid 
653 |a LMI 
653 |a optimization 
653 |a lightning attachment procedure optimization (LAPO) algorithm 
653 |a photovoltaic panel 
653 |a uncertainty 
653 |a cooperation 
653 |a energy 
653 |a reliability 
653 |a Monte Carlo 
653 |a smart energy control 
653 |a grid-synchronization 
653 |a dynamic voltage restorer 
653 |a converter control system 
653 |a sliding mode control 
653 |a economic scheduling 
653 |a clean energy 
653 |a quantum mayfly algorithm (QMA) 
653 |a n/a 
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