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논문 기본 정보

자료유형
학술저널
저자정보
Xufeng Xu (Tongji University) Joydeep Mitra (Michigan State University) Tingting Wang (American Electric Power) Longhua Mu (Tongji University)
저널정보
대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.11 No.1
발행연도
2016.1
수록면
47 - 54 (8page)

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초록· 키워드

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Microgrids offer several reliability benefits, such as the improvement of load-point reliability and the opportunity for reliability-differentiated services. The primary goal of this work is to investigate the impacts of operating condition on the reliability index for microgrid system. It relies on a component failure rate model which quantifies the relationship between component failure rate and state variables. Some parameters involved are characterized by subjective uncertainty. Thus, fuzzy numbers are introduced to represent such parameters, and an optimization model based on Fuzzy Chance Constrained Programming (FCCP) is established for reliability index calculation. In addition, we present a hybrid algorithm which combines scenario enumeration and fuzzy simulation as a solution tool. The simulations in a microgrid test system show that reliability indices without considering operating condition can often prove to be optimistic. We also investigate two groups of situations, which include the different penetration levels of microsource and different confidence levels. The results support the necessity of considering operating condition for achieving accurate reliability evaluation.

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Abstract
1. Introduction
2. Failure Rate Modeling for Feeders
3. Short-time Reliability Evaluation Model
4. Solution Process
5. Case Study
6. Conclusion
References

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UCI(KEPA) : I410-ECN-0101-2016-560-002322612