Smart Distribution Systems
The increasing importance of system reliability and resilience is changing the way distribution systems are planned and operated. To achieve a distribution system self-healing against power outages, emerging technologies and devices, such as remote-controlled switches (RCSs) and smart meters, are be...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2016-04-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1996-1073/9/4/297 |
| _version_ | 1818040785869733888 |
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| author | Yazhou Jiang Chen-Ching Liu Yin Xu |
| author_facet | Yazhou Jiang Chen-Ching Liu Yin Xu |
| author_sort | Yazhou Jiang |
| collection | DOAJ |
| description | The increasing importance of system reliability and resilience is changing the way distribution systems are planned and operated. To achieve a distribution system self-healing against power outages, emerging technologies and devices, such as remote-controlled switches (RCSs) and smart meters, are being deployed. The higher level of automation is transforming traditional distribution systems into the smart distribution systems (SDSs) of the future. The availability of data and remote control capability in SDSs provides distribution operators with an opportunity to optimize system operation and control. In this paper, the development of SDSs and resulting benefits of enhanced system capabilities are discussed. A comprehensive survey is conducted on the state-of-the-art applications of RCSs and smart meters in SDSs. Specifically, a new method, called Temporal Causal Diagram (TCD), is used to incorporate outage notifications from smart meters for enhanced outage management. To fully utilize the fast operation of RCSs, the spanning tree search algorithm is used to develop service restoration strategies. Optimal placement of RCSs and the resulting enhancement of system reliability are discussed. Distribution system resilience with respect to extreme events is presented. Test cases are used to demonstrate the benefit of SDSs. Active management of distributed generators (DGs) is introduced. Future research in a smart distribution environment is proposed. |
| first_indexed | 2024-12-10T08:20:03Z |
| format | Article |
| id | doaj.art-6afce9d2f9044dc0970598ed54e09835 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-12-10T08:20:03Z |
| publishDate | 2016-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-6afce9d2f9044dc0970598ed54e098352022-12-22T01:56:22ZengMDPI AGEnergies1996-10732016-04-019429710.3390/en9040297en9040297Smart Distribution SystemsYazhou Jiang0Chen-Ching Liu1Yin Xu2School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA 99164, USASchool of Electrical Engineering and Computer Science, Washington State University, Pullman, WA 99164, USASchool of Electrical Engineering and Computer Science, Washington State University, Pullman, WA 99164, USAThe increasing importance of system reliability and resilience is changing the way distribution systems are planned and operated. To achieve a distribution system self-healing against power outages, emerging technologies and devices, such as remote-controlled switches (RCSs) and smart meters, are being deployed. The higher level of automation is transforming traditional distribution systems into the smart distribution systems (SDSs) of the future. The availability of data and remote control capability in SDSs provides distribution operators with an opportunity to optimize system operation and control. In this paper, the development of SDSs and resulting benefits of enhanced system capabilities are discussed. A comprehensive survey is conducted on the state-of-the-art applications of RCSs and smart meters in SDSs. Specifically, a new method, called Temporal Causal Diagram (TCD), is used to incorporate outage notifications from smart meters for enhanced outage management. To fully utilize the fast operation of RCSs, the spanning tree search algorithm is used to develop service restoration strategies. Optimal placement of RCSs and the resulting enhancement of system reliability are discussed. Distribution system resilience with respect to extreme events is presented. Test cases are used to demonstrate the benefit of SDSs. Active management of distributed generators (DGs) is introduced. Future research in a smart distribution environment is proposed.http://www.mdpi.com/1996-1073/9/4/297feeder restorationoutage managementremote control capabilitysmart distribution system (SDSs)smart meter |
| spellingShingle | Yazhou Jiang Chen-Ching Liu Yin Xu Smart Distribution Systems Energies feeder restoration outage management remote control capability smart distribution system (SDSs) smart meter |
| title | Smart Distribution Systems |
| title_full | Smart Distribution Systems |
| title_fullStr | Smart Distribution Systems |
| title_full_unstemmed | Smart Distribution Systems |
| title_short | Smart Distribution Systems |
| title_sort | smart distribution systems |
| topic | feeder restoration outage management remote control capability smart distribution system (SDSs) smart meter |
| url | http://www.mdpi.com/1996-1073/9/4/297 |
| work_keys_str_mv | AT yazhoujiang smartdistributionsystems AT chenchingliu smartdistributionsystems AT yinxu smartdistributionsystems |