A Method of Detecting and Tracking for Improving Optimization Characteristic of PV Output
Abstract:As the output power of photovoltaic array changes with the change of external environment and load, the Maximum Power Point Tracking (MPPT) technology is needed to bring the efficiency of photovoltaic device into full play. In this paper, a new method based on the genetic algorithm and pattern search is applied on the MPPT technology of photovoltaic system. As the genetic algorithm has the advantages of flexibility, randomicity, and can not be limited by local optimization, it is used for rough searching, based on this, using pattern search to enhance aborative searching. Comparative tests show that the proposed method can track the step response quickly and accurately, at the same time get better optimization result under partially shadowing condition. Simulation and experiment results showed the effectiveness and good performance of the proposed method.
Document Type: Research Article
Publication date: October 1, 2011
More about this publication?
- The growing interest and activity in the field of sensor technologies requires a forum for rapid dissemination of important results: Sensor Letters is that forum. Sensor Letters offers scientists, engineers and medical experts timely, peer-reviewed research on sensor science and technology of the highest quality. Sensor Letters publish original rapid communications, full papers and timely state-of-the-art reviews encompassing the fundamental and applied research on sensor science and technology in all fields of science, engineering, and medicine. Highest priority will be given to short communications reporting important new scientific and technological findings.
- Editorial Board
- Information for Authors
- Subscribe to this Title
- Terms & Conditions
- Ingenta Connect is not responsible for the content or availability of external websites