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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2018.5
- 수록면
- 18 - 29 (12page)
- DOI
- 10.5207/JIEIE.2018.32.5.018
이용수
초록· 키워드
오류제보하기
In this paper, a new design optimal economical sizing of a Hybrid PV/WT/Diesel/Battery energy system is presented in order to assist the designers to take into consideration both the economical and ecological aspects. The reliability and cost of a hybrid system are two main criteria for designing a stand-alone hybrid system. The aim of this design is minimization of total annual cost(TAC) considered loss power supply probability and annual fuel cost of diesel generation system. A hybrid Teaching-Learning-Based Optimization algorithm is used for choosing the optimal number and type of units and the Total Annual Cost and Loss of Power Supply Probability are taken as the multi-objective functions of the proposed optimization algorithm. The effectiveness of the proposed method is verified using Matlab software and the simulation results confirm that the proposed method is more efficient than conventional methods and a feasible solution for stand-alone applications at the remote location.
목차
Abstract
1. 서론
2. 독립형 하이브리드 에너지시스템
3. 하이브리드 시스템의 모델링
4. 하이브리드에너지시스템 비용모델링
5. 최적화 알고리즘
6. 모의실험 결과
7. 결론
References
참고문헌 (19)
참고문헌 신청
Maleki, A., Askarzadeh, A., “Comparative study of artificial intelligence techniques for sizing of a hydrogen-based stand-alone photovoltaic/wind hybrid system,” Int. Journal of Hydrogen Energy, 39, pp. 9973-9984, 2014.
Fathima, A. H., Palanisamy, K.,“Optimization in microgrids with hybrid energy systems?a review,” Renewable and Sustainable Energy Reviews, pp. 45, 431-446, 2015.
Yang, H., Wei, Z., “Chengzhi, L. Optimal design and techno-economic analysis of a hybrid solar?wind power generation system,” Applied Energy 86, pp. 163-169, 2009.
Yang, H., Lu, L., Zhou, W., “A novel optimization sizing model for hybrid solar-wind power generation system,” Solar energy 81, pp. 76-84, 2007.
Diaf, S., Diaf, D., Belhamel, M., “A methodology for optimal sizing of autonomous hybrid pv/wind system,” Energy Policy 35, pp. 5708-5718, 2007.
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