A Closed-Loop Maximum Power Point Tracker for Subwatt Photovoltaic Panels

This paper proposes a closed-loop maximum power point tracker (MPPT) for subwatt photovoltaic (PV) panels used in wireless sensor networks. Both high power efficiency and low circuit complexity are achieved. A microcontroller (μC) driven by a fast clock was used to implement an MPPT algorithm with a low processing time. This leads to a maximum central-processing-unit duty cycle of 6% and frees the μC to be used in the remaining tasks of the autonomous sensor, such as sensing, processing, and transmitting data. In order to reduce power consumption, dynamic power management techniques were applied, which implied the use of predictive algorithms. In addition, the measurement and acquisition of the output current and voltage of the PV panel, which increase circuit complexity, was avoided. Experimental measurements showed power consumptions of the MPPT controller as low as 52 μW for a 2.7-mW PV power and up to 388 μW for a 94.4-mW PV power. Tracking efficiency was higher than 99.4%. The overall efficiency was higher than 90% for a PV panel power higher than 20 mW. Field measurements showed an energy gain 15.7% higher than that of a direct-coupled solution.

[1]  Alessandro Chini,et al.  Boost-converter-based solar harvester for low power applications , 2010 .

[2]  Luca Benini,et al.  A survey of design techniques for system-level dynamic power management , 2000, IEEE Trans. Very Large Scale Integr. Syst..

[3]  P.L. Chapman,et al.  Comparison of Photovoltaic Array Maximum Power Point Tracking Techniques , 2007, IEEE Transactions on Energy Conversion.

[4]  Timothy C. Green,et al.  Energy Harvesting From Human and Machine Motion for Wireless Electronic Devices , 2008, Proceedings of the IEEE.

[5]  Luigi Rovati,et al.  Micro-power photovoltaic harvester based on a frequency-to-voltage MPPT tracker , 2010 .

[6]  Luca Benini,et al.  Modeling and Optimization of a Solar Energy Harvester System for Self-Powered Wireless Sensor Networks , 2008, IEEE Transactions on Industrial Electronics.

[7]  Pai H. Chou,et al.  AmbiMax: Autonomous Energy Harvesting Platform for Multi-Supply Wireless Sensor Nodes , 2006, 2006 3rd Annual IEEE Communications Society on Sensor and Ad Hoc Communications and Networks.

[8]  Johan H R Enslin,et al.  Integrated photovoltaic maximum power point tracking converter , 1997, IEEE Trans. Ind. Electron..

[9]  Sanjib Kumar Panda,et al.  Optimized Wind Energy Harvesting System Using Resistance Emulator and Active Rectifier for Wireless Sensor Nodes , 2011, IEEE Transactions on Power Electronics.

[10]  David E. Culler,et al.  Perpetual environmentally powered sensor networks , 2005, IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005..

[11]  Regan Zane,et al.  Power Management System for Online Low Power RF Energy Harvesting Optimization , 2010, IEEE Transactions on Circuits and Systems I: Regular Papers.

[12]  Adel Nasiri,et al.  Indoor power harvesting using photovoltaic cells for low power applications , 2009, 2009 13th European Conference on Power Electronics and Applications.

[13]  Oscar Lopez-Lapena,et al.  A New MPPT Method for Low-Power Solar Energy Harvesting , 2010, IEEE Transactions on Industrial Electronics.

[14]  Cesare Alippi,et al.  An Adaptive System for Optimal Solar Energy Harvesting in Wireless Sensor Network Nodes , 2008, IEEE Transactions on Circuits and Systems I: Regular Papers.

[15]  Mani B. Srivastava,et al.  Design considerations for solar energy harvesting wireless embedded systems , 2005, IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005..

[16]  P.H. Chou,et al.  Efficient Charging of Supercapacitors for Extended Lifetime of Wireless Sensor Nodes , 2008, IEEE Transactions on Power Electronics.

[17]  Luca Benini,et al.  Design of a Solar-Harvesting Circuit for Batteryless Embedded Systems , 2009, IEEE Transactions on Circuits and Systems I: Regular Papers.