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 are...
I tiakina i:
| Hōputu: | Online |
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| Reo: | Ingarihi |
| I whakaputaina: |
MDPI - Multidisciplinary Digital Publishing Institute
2022
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| Ngā marau: | |
| Urunga tuihono: | ONIX_20221117_9783036556529_97 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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| _version_ | 1869519073685012480 |
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| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-93840 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-938402024-04-09T23:16:02Z Microgrids/Nanogrids Implementation, Planning, and Operation Benbouzid, Mohamed Muyeen, S. M. energy demand long-term forecasting machine learning R programming solar power generation support vector regression economic energy Bonobo Optimizer hybrid renewable energy system microgrid PV panels wind turbine energy storage hierarchical control primary secondary control droop control frequency restoration voltage restoration grid synchronization proportional resonant controller robust control distributed generation, microgrid LMI optimization lightning attachment procedure optimization (LAPO) algorithm photovoltaic panel uncertainty cooperation energy reliability Monte Carlo smart energy control grid-synchronization dynamic voltage restorer converter control system sliding mode control economic scheduling clean energy quantum mayfly algorithm (QMA) n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology 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. 2022-11-17T16:27:17Z 2022-11-17T16:27:17Z 2022 book ONIX_20221117_9783036556529_97 9783036556529 9783036556512 https://directory.doabooks.org/handle/20.500.12854/93840 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/6269 https://mdpi.com/books/pdfview/book/6269 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-5652-9 10.3390/books978-3-0365-5652-9 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036556529 9783036556512 180 Basel open access |
| spellingShingle | energy demand long-term forecasting machine learning R programming solar power generation support vector regression economic energy Bonobo Optimizer hybrid renewable energy system microgrid PV panels wind turbine energy storage hierarchical control primary secondary control droop control frequency restoration voltage restoration grid synchronization proportional resonant controller robust control distributed generation, microgrid LMI optimization lightning attachment procedure optimization (LAPO) algorithm photovoltaic panel uncertainty cooperation energy reliability Monte Carlo smart energy control grid-synchronization dynamic voltage restorer converter control system sliding mode control economic scheduling clean energy quantum mayfly algorithm (QMA) n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Microgrids/Nanogrids Implementation, Planning, and Operation |
| title | Microgrids/Nanogrids Implementation, Planning, and Operation |
| title_full | Microgrids/Nanogrids Implementation, Planning, and Operation |
| title_fullStr | Microgrids/Nanogrids Implementation, Planning, and Operation |
| title_full_unstemmed | Microgrids/Nanogrids Implementation, Planning, and Operation |
| title_short | Microgrids/Nanogrids Implementation, Planning, and Operation |
| title_sort | microgrids nanogrids implementation planning and operation |
| topic | energy demand long-term forecasting machine learning R programming solar power generation support vector regression economic energy Bonobo Optimizer hybrid renewable energy system microgrid PV panels wind turbine energy storage hierarchical control primary secondary control droop control frequency restoration voltage restoration grid synchronization proportional resonant controller robust control distributed generation, microgrid LMI optimization lightning attachment procedure optimization (LAPO) algorithm photovoltaic panel uncertainty cooperation energy reliability Monte Carlo smart energy control grid-synchronization dynamic voltage restorer converter control system sliding mode control economic scheduling clean energy quantum mayfly algorithm (QMA) n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | energy demand long-term forecasting machine learning R programming solar power generation support vector regression economic energy Bonobo Optimizer hybrid renewable energy system microgrid PV panels wind turbine energy storage hierarchical control primary secondary control droop control frequency restoration voltage restoration grid synchronization proportional resonant controller robust control distributed generation, microgrid LMI optimization lightning attachment procedure optimization (LAPO) algorithm photovoltaic panel uncertainty cooperation energy reliability Monte Carlo smart energy control grid-synchronization dynamic voltage restorer converter control system sliding mode control economic scheduling clean energy quantum mayfly algorithm (QMA) n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | ONIX_20221117_9783036556529_97 |