Vol. 3, No. 4, December 2014, pp. 424~437
ISSN: 2088-8694
424
Maximum Power Point Tracking Algorithms for GridConnected Photovoltaic Energy Conversion System
J. Surya Kumari1, Ch. Saibabu2
1
Department of Electrical and Electronics Engineering, RGMCET, Nandyal, Kurnool, INDIA
2
Department of Electrical Engineering, JNTUK, Kakinada, INDIA
Article Info
ABSTRACT
Article history:
The output power of Photovoltaic (PV) arrays is always changing with weather conditions, i.e., solar irradiation and atmospheric temperature.
Therefore, a Maximum Power Point Tracking (MPPT) control to extract maximum power from the PV arrays at real time becomes indispensable in
PV generation system. In recent years, a large number of techniques have been proposed for tracking the maximum power point (MPP). MPPT is used in photovoltaic (PV) systems to maximize the photovoltaic array output power, irrespective of the temperature and radiation conditions and of the load electrical characteristics the PV array output power is used to directly control the dc/dc converter, thus reducing the complexity of the system. The resulting system has high-efficiency. This paper presents in details comparison of most popular MPPT algorithms techniques which are Perturb
& Observe algorithm (P&O) and Improved Perturb & Observe algorithm
(IP&O). In this paper, an improved perturbation and observation method
(IP&O) based on adaptive algorithm is proposed, which is automatically adjusts the reference step size and hysteresis bandwidth for power cumparison. The results show that the IP&O increases the total PV output power at an unsettled weather condition compare to traditional perturbation and observation method (P&O).
Received Aug 19, 2013
Revised Oct 7, 2013
Accepted Oct 26, 2013
Keyword:
Improved P&O algorithm
Maximum Power Point Tracking
Perturb & Observe algorithm
Photovoltaic
References: Power Point Tracking Systems: International Conference on Energy and Environment 2006” (ICEE 2006) R.Kiranmayi, K Vijaya kumar Reddy and M Vijaya kumar, “Modeling and an MPPT Method for Solar Cells: Journal of Engineering and Applied Sciences”, 3(1):128-133, 2008. A. Yafaoui, B.Wu and R.Cheung, “Implementation of Maximum Power Point Tracking Algorithm for Residential Photovoltaic Systems” 2nd Canadian solar buildings conference Calgary, June 10-14, 2007.