After discussing analysis of photovoltaic (PV) cell characteristics, and the study of existing PV system maximum power point tracking (MPPT) methods, a MPPT technology based on combination of incremental conductance (INC) and fuzzy control (FC) is proposed to improve the tracking behavior of the single method. The algorithm based on MATLAB 7.6 is developed. The simulation results show that combination algorithm can make the photovoltaic generation system quickly and accurately track the maximum power point (MPP), and its fast response and steady-state performance achieve expectation. Finally, the correctness and effectiveness of the algorithm is verified via power generation statistical data of PV system experimental platform.
목차
Abstract 1. Introduction 2. Analysis of PV Cell Characteristic 2.1 Equivalent Circuit 2.2 Poser Characteristics 3. Description of INC and FC 3.1 Incremental-conductance Method[8] 3.2 Fuzzy Control Method 4. Proposed FC-INC MPPT 4.1 The Combination Principle of INC and FC 4.2 Establish the Fuzzy controller Variables 4.3 Determine Membership Function 4.4 Design Fuzzy Rules 5. Modeling and Analysis for FC-INC MPPT 5.1 Simulation Model 5.2 Simulation Results and Analysis 6. Experimental Results and Analysis 7. Conclusion Acknowledgement Conflicts of Interest References
키워드
Photovoltaic cellincremental conductancefuzzy controlmaximum power point tracking (MPPT)
저자
Wang Fei [ School of Electrical Engineering & Automation, Jiangsu Normal University, Xuzhou 221116, Jiangsu, China ]
보안공학연구지원센터(IJCA) [Science & Engineering Research Support Center, Republic of Korea(IJCA)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Control and Automation
간기
월간
pISSN
2005-4297
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Control and Automation Vol.8 No.5