Advances in Power Science and Technology
With a continuous increase in renewable energy in power systems, technologies such as grid control and optimization, energy storage planning, and wind power forecasting have become increasingly important. These technologies can help realize the sustainable development of the power system. Therefore,...
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| Format: | Online |
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| Jezik: | angleščina |
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MDPI - Multidisciplinary Digital Publishing Institute
2024
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| Teme: | |
| Online dostop: | ONIX_20240906_9783725819232_101 |
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| _version_ | 1869525777942315008 |
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| collection | Directory of Open Access Books |
| description | With a continuous increase in renewable energy in power systems, technologies such as grid control and optimization, energy storage planning, and wind power forecasting have become increasingly important. These technologies can help realize the sustainable development of the power system. Therefore, how can we safely and economically reduce the grid connection losses of new energy generation systems and new energy? Exploring the ability of power generation systems to actively participate in voltage regulation control has become a popular topic in power systems and new energy generation. The purpose of power grid control and optimization is to ensure the stability and reliability of the power system through real-time monitoring and adjusting the power grid's operation. The purpose of energy storage planning is to optimize the power system's energy storage capacity and distribution to meet the load demand and respond to emergencies. The significant deviation between the two will increase the grid's real-time scheduling demand. The purpose of wind power prediction is to predict the future wind speed and wind energy using meteorology, statistics, and machine learning methods to optimize the planning and scheduling of wind power generation. The topic involves many fields, including power systems, energy storage technology, meteorology, statistics, and machine learning. Through relevant research, the challenges faced by the power system can be effectively solved, and the sustainable development of the power industry can be promoted. |
| format | Online |
| id | doab-20.500.12854ir-143739 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1437392024-09-06T08:16:00Z Advances in Power Science and Technology Yang, Bo Liu, Zhijian Jiang, Lin control optimization forecast plan power system thema EDItEUR::P Mathematics and Science thema EDItEUR::P Mathematics and Science::PH Physics thema EDItEUR::P Mathematics and Science::PH Physics::PHD Classical mechanics::PHDY Energy With a continuous increase in renewable energy in power systems, technologies such as grid control and optimization, energy storage planning, and wind power forecasting have become increasingly important. These technologies can help realize the sustainable development of the power system. Therefore, how can we safely and economically reduce the grid connection losses of new energy generation systems and new energy? Exploring the ability of power generation systems to actively participate in voltage regulation control has become a popular topic in power systems and new energy generation. The purpose of power grid control and optimization is to ensure the stability and reliability of the power system through real-time monitoring and adjusting the power grid's operation. The purpose of energy storage planning is to optimize the power system's energy storage capacity and distribution to meet the load demand and respond to emergencies. The significant deviation between the two will increase the grid's real-time scheduling demand. The purpose of wind power prediction is to predict the future wind speed and wind energy using meteorology, statistics, and machine learning methods to optimize the planning and scheduling of wind power generation. The topic involves many fields, including power systems, energy storage technology, meteorology, statistics, and machine learning. Through relevant research, the challenges faced by the power system can be effectively solved, and the sustainable development of the power industry can be promoted. 2024-09-06T08:15:56Z 2024-09-06T08:15:56Z 2024 book ONIX_20240906_9783725819232_101 9783725819232 9783725819249 https://directory.doabooks.org/handle/20.500.12854/143739 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/topic/9783 https://mdpi.com/books/pdfview/topic/9783 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-1924-9 10.3390/books978-3-7258-1924-9 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725819232 9783725819249 548 open access |
| spellingShingle | control optimization forecast plan power system thema EDItEUR::P Mathematics and Science thema EDItEUR::P Mathematics and Science::PH Physics thema EDItEUR::P Mathematics and Science::PH Physics::PHD Classical mechanics::PHDY Energy Advances in Power Science and Technology |
| title | Advances in Power Science and Technology |
| title_full | Advances in Power Science and Technology |
| title_fullStr | Advances in Power Science and Technology |
| title_full_unstemmed | Advances in Power Science and Technology |
| title_short | Advances in Power Science and Technology |
| title_sort | advances in power science and technology |
| topic | control optimization forecast plan power system thema EDItEUR::P Mathematics and Science thema EDItEUR::P Mathematics and Science::PH Physics thema EDItEUR::P Mathematics and Science::PH Physics::PHD Classical mechanics::PHDY Energy |
| topic_facet | control optimization forecast plan power system thema EDItEUR::P Mathematics and Science thema EDItEUR::P Mathematics and Science::PH Physics thema EDItEUR::P Mathematics and Science::PH Physics::PHD Classical mechanics::PHDY Energy |
| url | ONIX_20240906_9783725819232_101 |