Situation Awareness for Smart Distribution Systems
In recent years, the global climate has become variable due to intensification of the greenhouse effect, and natural disasters are frequently occurring, which poses challenges to the situation awareness of intelligent distribution networks. Aside from the continuous grid connection of distributed ge...
I tiakina i:
| Hōputu: | Online |
|---|---|
| Reo: | Ingarihi |
| I whakaputaina: |
MDPI - Multidisciplinary Digital Publishing Institute
2022
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| Ngā marau: | |
| Urunga tuihono: | ONIX_20220706_9783036545257_87 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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| _version_ | 1869530032436674560 |
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| collection | Directory of Open Access Books |
| description | In recent years, the global climate has become variable due to intensification of the greenhouse effect, and natural disasters are frequently occurring, which poses challenges to the situation awareness of intelligent distribution networks. Aside from the continuous grid connection of distributed generation, energy storage and new energy generation not only reduces the power supply pressure of distribution network to a certain extent but also brings new consumption pressure and load impact. Situation awareness is a technology based on the overall dynamic insight of environment and covering perception, understanding, and prediction. Such means have been widely used in security, intelligence, justice, intelligent transportation, and other fields and gradually become the research direction of digitization and informatization in the future. We hope this Special Issue represents a useful contribution. We present 10 interesting papers that cover a wide range of topics all focused on problems and solutions related to situation awareness for smart distribution systems. We sincerely hope the papers included in this Special Issue will inspire more researchers to further develop situation awareness for smart distribution systems. We strongly believe that there is a need for more work to be carried out, and we hope this issue provides a useful open-access platform for the dissemination of new ideas. |
| format | Online |
| id | doab-20.500.12854ir-87492 |
| 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-874922024-04-11T15:10:13Z Situation Awareness for Smart Distribution Systems Ge, Leijiao Yan, Jun Sun, Yonghui Wang, Zhongguan community integrated energy system energy management user dominated demand side response conditional value-at-risk electric heating load forecasting thermal comfort attention mechanism LSTM neural network smart distribution network situation awareness high-quality operation and maintenance critical technology comprehensive framework distributionally robust optimization (DRO) integrated energy system (IES) joint chance constraints linear decision rules (LDRs) Wasserstein distance load disaggregation denoising auto-encoder REDD dataset TraceBase dataset machine learning secondary equipment CNN short text classification electric vehicle short-term load forecasting convolutional neural network temporal convolutional network climate factors correlation analysis sustainable wind-PV-hydrogen-storage microgrid power-to-hydrogen receding horizon optimization storage photovoltaic (PV) system DC series arc fault power spectrum estimation attentional mechanism lightweight convolutional neural network capacity configuration wind-photovoltaic-thermal power system carbon emission multi-objective optimization inertia security region 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 In recent years, the global climate has become variable due to intensification of the greenhouse effect, and natural disasters are frequently occurring, which poses challenges to the situation awareness of intelligent distribution networks. Aside from the continuous grid connection of distributed generation, energy storage and new energy generation not only reduces the power supply pressure of distribution network to a certain extent but also brings new consumption pressure and load impact. Situation awareness is a technology based on the overall dynamic insight of environment and covering perception, understanding, and prediction. Such means have been widely used in security, intelligence, justice, intelligent transportation, and other fields and gradually become the research direction of digitization and informatization in the future. We hope this Special Issue represents a useful contribution. We present 10 interesting papers that cover a wide range of topics all focused on problems and solutions related to situation awareness for smart distribution systems. We sincerely hope the papers included in this Special Issue will inspire more researchers to further develop situation awareness for smart distribution systems. We strongly believe that there is a need for more work to be carried out, and we hope this issue provides a useful open-access platform for the dissemination of new ideas. 2022-07-06T11:52:22Z 2022-07-06T11:52:22Z 2022 book ONIX_20220706_9783036545257_87 9783036545257 9783036545264 https://directory.doabooks.org/handle/20.500.12854/87492 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/5690 https://mdpi.com/books/pdfview/book/5690 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-4526-4 10.3390/books978-3-0365-4526-4 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036545257 9783036545264 214 Basel open access |
| spellingShingle | community integrated energy system energy management user dominated demand side response conditional value-at-risk electric heating load forecasting thermal comfort attention mechanism LSTM neural network smart distribution network situation awareness high-quality operation and maintenance critical technology comprehensive framework distributionally robust optimization (DRO) integrated energy system (IES) joint chance constraints linear decision rules (LDRs) Wasserstein distance load disaggregation denoising auto-encoder REDD dataset TraceBase dataset machine learning secondary equipment CNN short text classification electric vehicle short-term load forecasting convolutional neural network temporal convolutional network climate factors correlation analysis sustainable wind-PV-hydrogen-storage microgrid power-to-hydrogen receding horizon optimization storage photovoltaic (PV) system DC series arc fault power spectrum estimation attentional mechanism lightweight convolutional neural network capacity configuration wind-photovoltaic-thermal power system carbon emission multi-objective optimization inertia security region 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 Situation Awareness for Smart Distribution Systems |
| title | Situation Awareness for Smart Distribution Systems |
| title_full | Situation Awareness for Smart Distribution Systems |
| title_fullStr | Situation Awareness for Smart Distribution Systems |
| title_full_unstemmed | Situation Awareness for Smart Distribution Systems |
| title_short | Situation Awareness for Smart Distribution Systems |
| title_sort | situation awareness for smart distribution systems |
| topic | community integrated energy system energy management user dominated demand side response conditional value-at-risk electric heating load forecasting thermal comfort attention mechanism LSTM neural network smart distribution network situation awareness high-quality operation and maintenance critical technology comprehensive framework distributionally robust optimization (DRO) integrated energy system (IES) joint chance constraints linear decision rules (LDRs) Wasserstein distance load disaggregation denoising auto-encoder REDD dataset TraceBase dataset machine learning secondary equipment CNN short text classification electric vehicle short-term load forecasting convolutional neural network temporal convolutional network climate factors correlation analysis sustainable wind-PV-hydrogen-storage microgrid power-to-hydrogen receding horizon optimization storage photovoltaic (PV) system DC series arc fault power spectrum estimation attentional mechanism lightweight convolutional neural network capacity configuration wind-photovoltaic-thermal power system carbon emission multi-objective optimization inertia security region 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 | community integrated energy system energy management user dominated demand side response conditional value-at-risk electric heating load forecasting thermal comfort attention mechanism LSTM neural network smart distribution network situation awareness high-quality operation and maintenance critical technology comprehensive framework distributionally robust optimization (DRO) integrated energy system (IES) joint chance constraints linear decision rules (LDRs) Wasserstein distance load disaggregation denoising auto-encoder REDD dataset TraceBase dataset machine learning secondary equipment CNN short text classification electric vehicle short-term load forecasting convolutional neural network temporal convolutional network climate factors correlation analysis sustainable wind-PV-hydrogen-storage microgrid power-to-hydrogen receding horizon optimization storage photovoltaic (PV) system DC series arc fault power spectrum estimation attentional mechanism lightweight convolutional neural network capacity configuration wind-photovoltaic-thermal power system carbon emission multi-objective optimization inertia security region 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_20220706_9783036545257_87 |