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논문 기본 정보

자료유형
학술저널
저자정보
Mojtaba Saeedimoghadam (Islamic Azad University) Majid Moazzami (Islamic Azad University) Seyed. M. H. Nabavi (Islamic Azad University) Majid Dehghani (Islamic Azad University)
저널정보
대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.9 No.6
발행연도
2014.11
수록면
1,822 - 1,831 (10page)

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초록· 키워드

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Micro-grid is connected to the main power grid through a static switch. One of the critical issues in micro-grids is protection which must disconnect the micro-grid from the network in shortcircuit contingencies. Protective methods of micro-grid mainly follow the model of distribution system protection. This protection scheme suffers from improper operation due to the presence of single-phase loads, imbalance of three-phase loads and occurrence of power swings in micro-grid. In this paper, a new method which prevents from improper performance of static micro-grid protection is proposed. This method works based on artificial neural network (ANN) and able to differentiate short circuit from power swings by measuring impedance and the rate of impedance variations in PCC bus. This new technique provides a protective system with higher reliability.

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Abstract
1. Introduction
2. Detection of Short-circuit Using Sequence Components and Over Current Relays
3. Detection of Short Circuit by Using Impedance Variation
4. Power Swings
5. Artificial Neural Network
6. Application of ANN in Power Swing Detection
7. Test system
8. Simulation Results
9. Conclusions
References

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