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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2018.5
- 수록면
- 841 - 852 (12page)
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This paper presents a dual-algorithm search method (GWO-GSO) combining grey wolf optimization (GWO) and golden-section optimization (GSO) to realize maximum power point tracking (MPPT) for photovoltaic (PV) systems. First, a modified grey wolf optimization (MGWO) is activated for the global search. In conventional GWO, wolf leaders possess the same impact on decision-making. In this paper, the decision weights of wolf leaders are automatically adjusted with hunting progression, which is conducive to accelerating hunting. At the later stage, the algorithm is switched to GSO for the local search, which play a critical role in avoiding unnecessary search and reducing the tracking time. Additionally, a novel restart judgment based on the quasi-slope of the power-voltage curve is introduced to enhance the reliability of MPPT systems. Simulation and experiment results demonstrate that the proposed algorithm can track the global maximum power point (MPP) swiftly and reliably with higher accuracy under various
conditions.
conditions.
목차
Abstract
I. INTRODUCTION
II. BASIC OF GWO AND GSO
III. PRINCIPLE OF PROPOSED ALGORITHM
IV. SIMULATION RESULTS AND ANALYSIS
V. EXPERIMENTAL RESULTS
VI. CONCLUSIONS
REFERENCES
참고문헌 (27)
참고문헌 신청
M. Zouli, S. Ghoudelbourk, A. Ouari, and D. Dib, “Influence of the external and internal parameters on the characteristics of generator PV,” AIP Conference Proceedings, Vol. 1814, No. 1, pp. 020007, Feb. 2017.
T. Logeswaran and A. SenthilKumar, “A review of maximum power point tracking algorithms for photovoltaic systems under uniform and non-uniform irradiances,” Energy Procedia, Vol. 54, No. 2014, pp. 228-235, Jul. 2014.
S. Saravanan and N. R. Babu, “Maximum power point tracking algorithms for photovoltaic system ? A review,” Renewable and Sustainable Energy Reviews, Vol. 57, No. 2016, pp. 192-204, May. 2016.
L. Piegari, R. Rizzo, I. Spina, and P. Tricoli, “Optimized adaptive perturb and observe maximum power point tracking control for photovoltaic generation,” Energies, Vol. 8, No. 5, pp. 3418-3436, Apr. 2015.
R. Faraji, A. Rouholamini, H. R. Naji, R. Fadaeinedjad, and M. R. Chavoshian, “FPGA-based real time incremental conductance maximum power point tracking controller for photovoltaic systems,” IET Power Electronics, Vol. 7, No. 5, pp. 1294-1304, Oct. 2013.
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