Improved MPPT Method Applied to PV System
This paper considers the maximum power point tracking (MPPT) problem of the photovoltaic array, an improved method (the application of genetic algorithms to optimize the fuzzy controller) is presented based on fuzzy control. The simulation results are sho
- PDF / 1,914,155 Bytes
- 9 Pages / 439.37 x 666.142 pts Page_size
- 31 Downloads / 216 Views
Improved MPPT Method Applied to PV System Wenchao Li, Yuchao Sun, Xin Li, Xiaopeng Sha, Zhiquan Li and Yiying Du
Abstract This paper considers the maximum power point tracking (MPPT) problem of the photovoltaic array, an improved method (the application of genetic algorithms to optimize the fuzzy controller) is presented based on fuzzy control. The simulation results are shown in different external environment conditions. It can be concluded that the proposed method can quickly track the maximum power point of photovoltaic arrays, and also reduce the maximum power point oscillation energy loss. Therefore, the energy conversion efficiency of photovoltaic power generation system is improved. Keywords Maximum power point tracking (MPPT) control Genetic algorithm
Photovoltaic
Fuzzy
95.1 Introduction At present, as the growing energy crisis and environmental issues, it has become a global concern for effective and rational use of existing resources. The photovoltaic power generation is a broad prospect of green energy, and has become the W. Li (&) School of Control and Engineering, Northeastern University at Qinhuangdao, Qinhuangdao 066004, People’s Republic of China Y. Sun X. Sha Z. Li Y. Du Institute of Electrical Engineering, Yanshan University, Qinhuangdao 066004, People’s Republic of China X. Li Control and Simulating Center, School of Astronautics, Harbin Institute of Technology, Harbin 150080, People’s Republic of China
W. Lu et al. (eds.), Proceedings of the 2012 International Conference on Information Technology and Software Engineering, Lecture Notes in Electrical Engineering 211, DOI: 10.1007/978-3-642-34522-7_95, Ó Springer-Verlag Berlin Heidelberg 2013
905
906
W. Li et al.
hotspot of domestic and international academic and industrial research. The bottleneck problem of the photovoltaic cell research is the low efficiency of photoelectric conversion. In order to solve this problem, an effective measurement of maximum power point tracking Maximum Power Point Tracking (MPPT) is employed to improve the efficiency of the PV system [1–3]. This approach allows to maximize the power output of photovoltaic cells in load and environmental conditions. Traditional MPPT control methods include the constant voltage method, perturbation and observation method and the incremental conductance method and so on [4]. But in practical application, there are various shortcomings for different methods. Recently, control based on smart technology becomes a common method [5]. In this paper, the fuzzy control technique is applied to the MPPT control, and genetic algorithms are used to optimize the fuzzy controller, which can further improve the performance of the MPPT controller. Simulation results show that this method can effectively improve the system’s ability to respond with changes of the external environment and reduce the oscillations around the maximum power point.
95.2 Characteristics of Photovoltaic Cells The relations between current and voltage of photovoltaic cell output is given by n h q i o
Data Loading...
