Deep learning enhanced situation awareness for high renewable-penetrated power systems with multiple data corruptions (English)
Free access
- New search for: Wang, Qi
- New search for: Bu, Siqi
- New search for: Wang, Qi
- New search for: Bu, Siqi
In:
IET Renewable Power Generation
;
14
, 7
;
1134-1142
;
2020
- Article (Journal) / Electronic Resource
-
Title:Deep learning enhanced situation awareness for high renewable-penetrated power systems with multiple data corruptions
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Contributors:
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Published in:IET Renewable Power Generation ; 14, 7 ; 1134-1142
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Publisher:
- New search for: The Institution of Engineering and Technology
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Publication date:2020-03-03
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Size:9 pages
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:learning (artificial intelligence) , renewable power output , enhanced situation awareness , security of data , power system security , power systems , realtime anomaly detection , renewable energy sources , conventional situation awareness , data manipulation , power engineering computing , enhanced SA model , data corruptions
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Source:
Metadata by IET is licensed under CC BY 3.0
Table of contents – Volume 14, Issue 7
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1105
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MPPT in PV systems using ant colony optimisation with dwindling populationKrishnan G, Satheesh / Kinattingal, Sundareswaran / Simon, Sishaj P / Nayak, Panugothu Srinivasa Rao et al. | 2020
- 1113
-
Automatic generation control of a large hydropower plant with head‐sensitive forbidden and restricted zonesShen, Jianjian / Hu, Lin / Cheng, Chuntian / Wang, Sen et al. | 2020
- 1124
-
Anticipatory AGC control strategy based on wind power variogram characteristicGuo, Yufeng / Wang, Qi / Zhang, Dongrui / Wan, Jie / Yu, Daren / Yu, Jilai et al. | 2020
- 1134
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Deep learning enhanced situation awareness for high renewable‐penetrated power systems with multiple data corruptionsWang, Qi / Bu, Siqi et al. | 2020
- 1143
-
GMPPT by using PSO based on Lévy flight for photovoltaic system under partial shading conditionsMotamarri, Rambabu / Nagu, Bhookya et al. | 2020
- 1156
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Inertia emulation control technique based frequency control of grid‐connected single‐phase rooftop photovoltaic system with battery and supercapacitorSarojini, Ratnam Kamala / Palanisamy, K. / Sanjeevikumar, P. / Nielsen, Jens Bo‐Holm et al. | 2020
- 1164
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Structural and behavioural evaluation of renewable energy power plants' impacts on transmission network congestion using an analytical approachPoursalimi Jaghargh, Mohammad Javad / Rajabi Mashhadi, Habib et al. | 2020
- 1174
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Impact of policy incentives on the promotion of integrated PV and battery storage systems: a techno‐economic assessmentNousdilis, Angelos I. / Kryonidis, Georgios C. / Kontis, Eleftherios O. / Barzegkar‐Ntovom, Georgios A. / Panapakidis, Ioannis P. / Christoforidis, Georgios C. / Papagiannis, Grigoris K. et al. | 2020
- 1184
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Reliability and economic feasibility analysis of parallel unity power factor rectifier for wind turbine systemKhan, Md Shafquat Ullah / Maswood, Ali I. / Tariq, Mohd / Dehghani Tafti, Hossein / Tripathi, Anshuman et al. | 2020
- 1193
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Stochastic constrained linear quadratic control in a network of smart microgridsBersani, Chiara / Dagdougui, Hanane / Ouammi, Ahmed / Sacile, Roberto et al. | 2020
- 1201
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Highly sensitive microgrid protection using overcurrent relays with a novel relay characteristicDarabi, Ahmad / Bagheri, Mehdi / B. Gharehpetian, Gevork et al. | 2020
- 1210
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Dynamic characteristics of a hydro‐turbine governing system considering draft tube pressure pulsationGuo, Pengcheng / Zhang, Hao / Gou, Dongming et al. | 2020
- 1219
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Improving the transient performance of DFIG wind turbine using pitch angle controller low pass filter timing and network side connected damper circuitryOkedu, Kenneth E. et al. | 2020
- 1228
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Load frequency control of smart isolated power grids with high wind farm penetrationsKazemi Golkhandan, Reza / Torkaman, Hossein / Aghaebrahimi, Mohammad Reza / Keyhani, Ali et al. | 2020
- 1239
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Does renewable energy really decarbonise a power system? – An investigationKathiravan, Renganathan / Kumudini Devi, Raguru Pandu et al. | 2020