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| Content Provider | IET Digital Library |
|---|---|
| Author | Vatani, Mehrnoosh Amraee, Turaj Ranjbar, Ali Mohammad Mozafari, Babak |
| Abstract | This study presents a passive model to detect islanding conditions of synchronous distributed generation resources in a distribution network or a microgrid. The proposed approach uses the classification and regression tree algorithm for distinguishing between islanding and non-islanding situations. It utilises the rate of change of frequency (ROCOF) and harmonic content of the equivalent reactance seen at the location of distributed generation as input features for decision tree construction. Indeed the thresholds of the proposed input features are extracted by the decision tree algorithm. The output if-then rules of the decision tree algorithm are then utilised to make a new relay logic for islanding detection. The proposed scheme successfully classifies the input data with approximately zero non-detection zone and prevent false operation of traditional scheme. The performance of the proposed protective algorithm is compared with the traditional ROCOF relay, artificial neural network and support vector machine techniques. The proposed method is implemented in a typical microgrid, which is connected to the transmission network of the dynamic WSCC three-machine, 9bus test system with considering electric faults at upstream transmission and sub-transmission networks. |
| Starting Page | 1254 |
| Ending Page | 1263 |
| Page Count | 10 |
| ISSN | 17518687 |
| Volume Number | 9 |
| e-ISSN | 17518695 |
| Issue Number | Issue 12, Sep (2015) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-gtd/9/12 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2014.0373 |
| Journal | IET Generation, Transmission & Distribution |
| Publisher Date | 2015-04-13 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Active Distribution System Artificial Neural Network Classification-regression Tree Algorithm Decision Tree Construction Distributed Generation Location Distributed Power Generation Distribution Network Dynamic WSCC Three-machine 9-bus Test System Electric Fault Equivalent Reactance False Operation Prevention Feature Extraction Harmonic Content Islanding Condition Detection Knowledge Engineering Technique Neural Computing Technique Neural Nets Output If-then Rules Passive Model Power Distribution Protection Power Engineering Computing Power System Protection Power Transmission Fault Power Transmission Reliability Protective Algorithm Rate-of-change-of-frequency Relay Logic Relay Protection Reliability Subtransmission Network Support Vector Machine Support Vector Machine Technique Synchronous Distributed Generation ReSource Traditional ROCOF Relay Typical Microgrid Upstream Transmission Network Zero-nondetection Zone |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering |
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