Situational Awareness and Protection Technologies for Low-Carbon Economic Operation of New Power Systems
With the challenges associated with global climate change, the "low-carbon economy" based on low energy consumption, low pollution, and low emissions has become a frequently debated topic on a global scale, which places further emphasis on the need to develop higher requirements for safely operating...
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| Formato: | Online |
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| Idioma: | inglês |
| Publicado em: |
MDPI - Multidisciplinary Digital Publishing Institute
2026
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| Acesso em linha: | ONIX_20260416T142754_9783725863228_8 |
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| _version_ | 1869515019434065920 |
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| collection | Directory of Open Access Books |
| description | With the challenges associated with global climate change, the "low-carbon economy" based on low energy consumption, low pollution, and low emissions has become a frequently debated topic on a global scale, which places further emphasis on the need to develop higher requirements for safely operating power systems. State estimation or situational awareness, as well as protection technologies, are key technological products that can acquire, understand, display, and predict future development trends of factors that can cause changes in a system in a large-scale environment. It has been applied in many fields such as power energy, aerospace, etc. New power systems have diverse application scenarios, complex operating conditions, and strong safety constraints. Therefore, how to apply situational awareness and protection technologies to adapt to different scenarios and ensure the reliable, safe, high-quality, low-carbon, and economic operation of new power systems has become an important topic of research within the field. This Reprint focuses on the development of state estimation, situational awareness, and protection technologies of power systems. It aims to lay a foundation for the low-carbon economic and safe operation of new power systems. |
| format | Online |
| id | doab-20.500.12854ir-175153 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1751532026-04-16T19:15:43Z Situational Awareness and Protection Technologies for Low-Carbon Economic Operation of New Power Systems Wang, Yi Sun, Yonghui Wang, Yaoqiang Guo, Yanxun Distribution network Fault analysis Protective relays Current differential protection Inverter-interfaced distributed generators Convolution power Direct current boundary High voltage direct current transmission Line protection Load aggregators Dynamic aggregation Markov chain Load forecasting State estimation Multi-stakeholders Photovoltaic (PV) plant Optimal capacity of energy storage Modified particle swarm optimization Renewable energy station Long short-term memory neural network Adam optimization algorithm Wasserstein generative adversarial network Parallel ensemble learning Data repair DC MG FDIA Fusion adaptive CKF algorithm Attack detection Spot bidding equilibrium Monthly homogeneous decomposition Medium- and long-term markets Electrical load forecasting Load prediction XGBoost Regression ML-based load prediction Distributed energy storage system Grid-tied inverter Impedance variation Phase-locked loop Compensation strategy System stability PV power Multi-level FE–MI Stacking ensemble learning Dynamic KDE Probabilistic prediction thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNB Energy industries and utilities With the challenges associated with global climate change, the "low-carbon economy" based on low energy consumption, low pollution, and low emissions has become a frequently debated topic on a global scale, which places further emphasis on the need to develop higher requirements for safely operating power systems. State estimation or situational awareness, as well as protection technologies, are key technological products that can acquire, understand, display, and predict future development trends of factors that can cause changes in a system in a large-scale environment. It has been applied in many fields such as power energy, aerospace, etc. New power systems have diverse application scenarios, complex operating conditions, and strong safety constraints. Therefore, how to apply situational awareness and protection technologies to adapt to different scenarios and ensure the reliable, safe, high-quality, low-carbon, and economic operation of new power systems has become an important topic of research within the field. This Reprint focuses on the development of state estimation, situational awareness, and protection technologies of power systems. It aims to lay a foundation for the low-carbon economic and safe operation of new power systems. 2026-04-16T19:15:35Z 2026-04-16T19:15:35Z 2025 book ONIX_20260416T142754_9783725863228_8 9783725863228 9783725863235 https://directory.doabooks.org/handle/20.500.12854/175153 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/ https://mdpi.com/books/pdfview/book/12065 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-6323-5 10.3390/books978-3-7258-6323-5 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725863228 9783725863235 208 CH open access |
| spellingShingle | Distribution network Fault analysis Protective relays Current differential protection Inverter-interfaced distributed generators Convolution power Direct current boundary High voltage direct current transmission Line protection Load aggregators Dynamic aggregation Markov chain Load forecasting State estimation Multi-stakeholders Photovoltaic (PV) plant Optimal capacity of energy storage Modified particle swarm optimization Renewable energy station Long short-term memory neural network Adam optimization algorithm Wasserstein generative adversarial network Parallel ensemble learning Data repair DC MG FDIA Fusion adaptive CKF algorithm Attack detection Spot bidding equilibrium Monthly homogeneous decomposition Medium- and long-term markets Electrical load forecasting Load prediction XGBoost Regression ML-based load prediction Distributed energy storage system Grid-tied inverter Impedance variation Phase-locked loop Compensation strategy System stability PV power Multi-level FE–MI Stacking ensemble learning Dynamic KDE Probabilistic prediction thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNB Energy industries and utilities Situational Awareness and Protection Technologies for Low-Carbon Economic Operation of New Power Systems |
| title | Situational Awareness and Protection Technologies for Low-Carbon Economic Operation of New Power Systems |
| title_full | Situational Awareness and Protection Technologies for Low-Carbon Economic Operation of New Power Systems |
| title_fullStr | Situational Awareness and Protection Technologies for Low-Carbon Economic Operation of New Power Systems |
| title_full_unstemmed | Situational Awareness and Protection Technologies for Low-Carbon Economic Operation of New Power Systems |
| title_short | Situational Awareness and Protection Technologies for Low-Carbon Economic Operation of New Power Systems |
| title_sort | situational awareness and protection technologies for low carbon economic operation of new power systems |
| topic | Distribution network Fault analysis Protective relays Current differential protection Inverter-interfaced distributed generators Convolution power Direct current boundary High voltage direct current transmission Line protection Load aggregators Dynamic aggregation Markov chain Load forecasting State estimation Multi-stakeholders Photovoltaic (PV) plant Optimal capacity of energy storage Modified particle swarm optimization Renewable energy station Long short-term memory neural network Adam optimization algorithm Wasserstein generative adversarial network Parallel ensemble learning Data repair DC MG FDIA Fusion adaptive CKF algorithm Attack detection Spot bidding equilibrium Monthly homogeneous decomposition Medium- and long-term markets Electrical load forecasting Load prediction XGBoost Regression ML-based load prediction Distributed energy storage system Grid-tied inverter Impedance variation Phase-locked loop Compensation strategy System stability PV power Multi-level FE–MI Stacking ensemble learning Dynamic KDE Probabilistic prediction thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNB Energy industries and utilities |
| topic_facet | Distribution network Fault analysis Protective relays Current differential protection Inverter-interfaced distributed generators Convolution power Direct current boundary High voltage direct current transmission Line protection Load aggregators Dynamic aggregation Markov chain Load forecasting State estimation Multi-stakeholders Photovoltaic (PV) plant Optimal capacity of energy storage Modified particle swarm optimization Renewable energy station Long short-term memory neural network Adam optimization algorithm Wasserstein generative adversarial network Parallel ensemble learning Data repair DC MG FDIA Fusion adaptive CKF algorithm Attack detection Spot bidding equilibrium Monthly homogeneous decomposition Medium- and long-term markets Electrical load forecasting Load prediction XGBoost Regression ML-based load prediction Distributed energy storage system Grid-tied inverter Impedance variation Phase-locked loop Compensation strategy System stability PV power Multi-level FE–MI Stacking ensemble learning Dynamic KDE Probabilistic prediction thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNB Energy industries and utilities |
| url | ONIX_20260416T142754_9783725863228_8 |