Fault Diagnosis for Multi-energy Flows of Energy Internet: Framework and Prospects
| Autor: | Tianlei Zang, Mario J. Pérez-Jiménez, Jun Wang, Xiaoguang Wei, Zhennan Fan, Tao Wang, Tao Huang |
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| Přispěvatelé: | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial, Universidad de Sevilla. TIC193: Computación Natural, National Natural Science Foundation of China |
| Rok vydání: | 2017 |
| Předmět: |
business.industry
Computer science 020209 energy interoperability 02 engineering and technology Energy transition fault diagnosis Fault (power engineering) energy Internet Cascading failure Energy storage Reliability engineering Electric power system 0202 electrical engineering electronic engineering information engineering Astrophysics::Solar and Stellar Astrophysics multi-energy flow cascading fault The Internet Energy supply multi-energy flow business Energy (signal processing) |
| Zdroj: | idUS. Depósito de Investigación de la Universidad de Sevilla instname idUS: Depósito de Investigación de la Universidad de Sevilla Universidad de Sevilla (US) |
| Popis: | Energy Internet (EI) is an inevitable development trend of energy systems under the background of technology development, environmental pressure and energy transition. Multi-energy flow coupling is one of the key characteristics of the EI, which enhances the interoperability of different types of energy flows while consequently increases the probability of cascading failures. Therefore it is of great significance to study the multi-energy flow fault diagnosis of the EI to ensure its safe and stable operation as well as the continuous energy supply. This paper introduces the concept of multi-energy flow cascading fault of the EI for the first time. The energy internet framework for multi-energy flow cascading fault diagnosis is firstly proposed, and then characteristics of various energy networks in the EI are analyzed from the perspective of fault diagnosis. Finally, future research prospects are discussed. National Natural Science Foundation of China 61703345 National Natural Science Foundation of China 61472328 National Natural Science Foundation of China 51607146 |
| Databáze: | OpenAIRE |
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