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| Content Provider | IET Digital Library |
|---|---|
| Author | Yan, Tao Tang, Wei Wang, Yue Zhang, Xianliang |
| Abstract | For the reliability assessment of a distribution system with microgrids (MGs), considerable computation time has to be cost to ensure convergence of an applied Monte-Carlo method (MCM) to estimating indices of interest, in the context of adopting multi-state models of constituent components. Towards achieving an efficient and accurate reliability assessment as much as possible, multi-state models of distributed generation resources, especially the battery energy storage system, are proposed. Based on the proposed models, effect analysis of a given sampled MG state is conducted in a proposed analytical manner. Moreover, an accelerated MCM nesting the proposed effect analysis methodology is also presented, dedicated to reliability evaluation of a resulting multi-state distribution system from the multi-state constituent components. Case studies on a modified IEEE-RBTS Bus6 F4 system demonstrate the effectiveness of the proposed method, against the plain MCM. In addition, impact of an important parameter, termed total state number of state-of-charge, on the convergence and speed of the proposed method has been fully analysed. |
| Starting Page | 3221 |
| Ending Page | 3229 |
| Page Count | 9 |
| ISSN | 17518687 |
| Volume Number | 12 |
| e-ISSN | 17518695 |
| Issue Number | Issue 13, Jul (2018) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-gtd/12/13 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2017.1794 |
| Journal | IET Generation, Transmission & Distribution |
| Publisher Date | 2018-04-25 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Accelerated MCM Accelerated Monte-Carlo Method Battery Energy Storage System Battery Storage Plants Distributed Generation Resource Distributed Power Generation Distribution Network Effect Analysis Methodology Microgrid System Modified IEEE-RBTS Bus6 F4 System Monte Carlo Method Multistate Constituent Component Multistate Distribution System Other Power Stations And Plant Power Distribution Reliability Power Generation Reliability Reliability Reliability Assessment Sampled MG State |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering |
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