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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Raman, S. Gokaraju, R. Jain, A. |
| Copyright Year | 2013 |
| Description | Author affiliation: Power Syst. Res. Centre, Int. Inst. of Inf. Technol., Canada (Raman, S.; Jain, A.) || Electr. & Comput. Eng., Univ. of Saskatchewan, Saskatoon, SK, Canada (Gokaraju, R.) |
| Abstract | Summary form only given: This paper presents a fuzzy logic based scheme for the operation of generator phase backup distance protection, otherwise popularly known as the `phase 21' function, in the presence of a STATCOM installed at the generator bus. The presence of STATCOM impacts the normal functioning of the distance relay based on its location as well as that of the fault. The method introduced here counters its adverse effects by formulating an adaptive mho relay for the phase 21 function, which accounts for the fast and dynamic compensation provided by the STATCOM throughout the operating time domain. Fuzzy logic is used in this paper to handle this varied compensation with its capability to process uncertain variation using linguistic variables to good effect. Two particular feature inputs from the STATCOM which have a direct impact on the reach of the relay are considered as the fuzzy system inputs. The objective is to counter and minimize the effect of current infeed from the STATCOM, on the apparent reach observed by the phase 21 relay, and thus achieve the desired coordination. |
| Sponsorship | IEEE Power Energy Soc. |
| Starting Page | 1 |
| Ending Page | 1 |
| File Size | 60626 |
| Page Count | 1 |
| File Format | |
| ISBN | 9781479913039 |
| ISSN | 19449925 |
| DOI | 10.1109/PESMG.2013.6672442 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-07-21 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Automatic voltage control Relays Fuzzy logic Generators Radiation detectors Fuzzy systems Adaptive systems |
| Content Type | Text |
| Resource Type | Article |
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