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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국지능시스템학회 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS Vol.14 No.4
- 발행연도
- 2014.12
- 수록면
- 305 - 312 (8page)
이용수
초록· 키워드
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This paper discusses real-time peak shaving algorithms for a large-scale battery energy storage system (BESS). Although several transmission and distribution functions could be implemented for diverse purposes in BESS applications, this paper focuses on a real-time peak shaving algorithm for an energy time shift, considering wind power generation. In a high wind penetration environment, the effective load levels obtained by subtracting the wind generation from the load time series at each long-term cycle time unit are needed for efficient peak shaving. However, errors can exist in the forecast load and wind generation levels, and the real-time peak shaving operation might require a method for wind generation that includes comparatively large forecasting errors. To effectively deal with the errors of wind generation forecasting, this paper proposes a real-time peak shaving algorithm for threshold value-based peak shaving that considers fuzzy wind power generation.
목차
Abstract
1. Introduction
2. Peak Shaving Algorithm
3. Wind Power Generation Forecasting Based on Fuzzy Modeling
4. Simulation and Results
5. Conclusions
References
참고문헌 (12)
참고문헌 신청
1. [인터넷자원] - / / Electricity energy storage technology options
2. [단행본] - J. Eyer / 2010 / Energy Storage for the Electricity Grid: Benefits and Market Potential Assessment Guide:A Study for the DOE Energy Storage Systems Program [SAND2010-0815] / Sandia National Laboratories
3. [보고서] - J. B. Goodenough / 2007 / Basic Research Needs for Electrical Energy Storage
4. [보고서] - R. Lasseter / 2009 / Integration of Battery-Based Energy Storage Element in the CERTS Microgrid
5. [학술대회논문] - H. Song / 2012 / Long-term cycle scheduling algorithms in power management system for MW-scale batteries / Proceedings of the IEEE Vehicle Power and Propulsion Conference : 1006 ~ 1009
2. [단행본] - J. Eyer / 2010 / Energy Storage for the Electricity Grid: Benefits and Market Potential Assessment Guide:A Study for the DOE Energy Storage Systems Program [SAND2010-0815] / Sandia National Laboratories
3. [보고서] - J. B. Goodenough / 2007 / Basic Research Needs for Electrical Energy Storage
4. [보고서] - R. Lasseter / 2009 / Integration of Battery-Based Energy Storage Element in the CERTS Microgrid
5. [학술대회논문] - H. Song / 2012 / Long-term cycle scheduling algorithms in power management system for MW-scale batteries / Proceedings of the IEEE Vehicle Power and Propulsion Conference : 1006 ~ 1009
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