Inverse dynamic analysis type of MPPT control strategy in a thermoelectric-solar hybrid energy harvesting system

This study presents the development of a novel inverse dynamic analysis-maximum power point tracking (IDA-MPPT) scheme in a hybrid energy harvesting system between thermoelectric module (TEM) and solar array (SA). The proposed method initially changes the harvested voltage response from both sources to be the third-order exponential function. This input function selection is based on the capability of this function to stabilize the initial response system and maintain its final position despite a prolonged response time. The mV voltage value from TEM is easily boosted up to nearly 5 V using this method. With this hybridization, the total obtained voltage is doubled to become 9.7 V, which results in a total power of 0.722 W. Furthermore, the method also allows for a fast tracking system, which enables faster voltage boosting and supercapacitor charging. The supercapacitor only requires less than 5 min to complete charging and boost the voltage to almost 5 V. Thus, a satisfactory value is obtained as compared with that of the TEM system with a chosen MPPC board.

[1]  Seppo Valkealahti,et al.  Differentiation of multiple maximum power points of partially shaded photovoltaic power generators , 2014 .

[2]  M. N. Sahinkaya Input shaping for vibration-free positioning of flexible systems , 2001 .

[3]  Julien Gomand,et al.  Maximum Power point Tracking Using P&O Control Optimized by a Neural Network Approach: A Good Compromise between Accuracy and Complexity , 2013 .

[4]  Christopher G. Provatidis,et al.  Computational and experimental analysis of a commercially available Seebeck module , 2015 .

[5]  Chulwoo Kim,et al.  An Energy-Efficient Fast Maximum Power Point Tracking Circuit in an 800-μW Photovoltaic Energy Harvester , 2013, IEEE Transactions on Power Electronics.

[6]  Anantha Chandrakasan,et al.  A Battery-Less Thermoelectric Energy Harvesting Interface Circuit With 35 mV Startup Voltage , 2010, IEEE Journal of Solid-State Circuits.

[7]  Youbing Zhang,et al.  Modeling and maximum power point tracking (MPPT) method for PV array under partial shade conditions , 2014 .

[8]  S. K. Panda,et al.  An optimized MPPT circuit for thermoelectric energy harvester for low power applications , 2011, 8th International Conference on Power Electronics - ECCE Asia.

[9]  Sina Y. Caliskan,et al.  Dwell-time computation for stability of switched systems with time delays , 2013 .

[10]  Dong Yue,et al.  Analysis and synthesis of randomly switched systems with known sojourn probabilities , 2014, Inf. Sci..

[11]  Azah Mohamed,et al.  Dynamic modeling and simulation of a thermoelectric-solar hybrid energy system using an inverse dynamic analysis input shaper , 2014 .

[12]  Alberto Bemporad,et al.  Stabilizing Dynamic Controllers for Hybrid Systems: A Hybrid Control Lyapunov Function Approach , 2014, IEEE Transactions on Automatic Control.

[13]  Mamadou Lamine Doumbia,et al.  Novel fuzzy logic based sensorless maximum power point tracking strategy for wind turbine systems driven DFIG (doubly-fed induction generator) , 2014 .

[14]  S. Grainger,et al.  Thermoelectric power generation: Properties, application and novel TCAD simulation , 2011, Proceedings of the 2011 14th European Conference on Power Electronics and Applications.

[15]  Afida Ayob,et al.  Model building of thermoelectric generator exposed to dynamic transient sources , 2013 .

[16]  Stefan Daraban,et al.  A novel maximum power point tracker based on analog and digital control loops , 2011 .

[17]  Aurelio Piazzi,et al.  Minimum-time system-inversion-based motion planning for residual vibration reduction , 2000 .

[18]  Koushil Sreenath,et al.  Rapidly Exponentially Stabilizing Control Lyapunov Functions and Hybrid Zero Dynamics , 2014, IEEE Transactions on Automatic Control.

[19]  Jie Lian,et al.  New results on stability of switched positive systems: an average dwell-time approach , 2013 .

[20]  D. Petreus,et al.  A novel MPPT (maximum power point tracking) algorithm based on a modified genetic algorithm specialized on tracking the global maximum power point in photovoltaic systems affected by partial shading , 2014 .

[21]  W. L. Chan,et al.  PLL-less single stage grid-connected photovoltaic inverter with rapid maximum power point tracking , 2013 .

[22]  Kinattingal Sundareswaran,et al.  Application of a combined particle swarm optimization and perturb and observe method for MPPT in PV systems under partial shading conditions , 2015 .

[23]  Joung-Hu Park,et al.  Maximum power point tracking without current sensor for photovoltaic module integrated converter using Zigbee wireless network , 2014 .