DocumentCode :
2829753
Title :
Optimal design of a boost-type DC-DC converter for PV power-supplied wireless sensor networks
Author :
Mandourarakis, Ioannis ; Koutroulis, Eftichios
Author_Institution :
Sch. of Electron. & Comput. Eng., Tech. Univ. of Crete, Chania, Greece
fYear :
2015
fDate :
17-19 March 2015
Firstpage :
1100
Lastpage :
1105
Abstract :
Wireless Sensor Networks (WSNs) are widely installed during the last years for monitoring multiple parameters of interest over distributed areas in the environment, buildings and industries. The WSN nodes are frequently installed in geographically remote areas. Thus, they are power-supplied by renewable energy sources and a DC-DC power converter is employed for interfacing the generated energy to a battery bank and the electric load of the WSN node. In this paper, an optimization method is presented for performing circuit-level optimization of a Photovoltaic (PV) power-supplied Boost-type DC-DC power converter, which is employed in a WSN node. Using the proposed technique enables to calculate the optimal switching frequency and values of the components comprising the circuit of the DC-DC converter, such that either the power loss at nominal output power, or the total power loss during the year, or the Levelized Cost Of the Electricity generated (LCOE), are alternatively minimized. The design optimization and experimental results demonstrate the features of the proposed technique and confirm the performance superiority of the DC-DC converters, which are designed using the proposed method, compared to the non-optimized DC-DC converter structures.
Keywords :
DC-DC power convertors; optimisation; photovoltaic power systems; power supplies to apparatus; power system measurement; renewable energy sources; wireless sensor networks; LCOE; PV power-supplied wireless sensor networks; WSN; battery bank; boost-type DC-DC converter; circuit-level optimization; distributed areas; levelized cost of the electricity generated; photovoltaic power-supplied boost-type DC-DC power converter; renewable energy sources; switching frequency; Batteries; DC-DC power converters; MOSFET; Optimization; Power generation; Switching frequency; Wireless sensor networks; DC-DC converter; efficiency; genetic algorithms; optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Technology (ICIT), 2015 IEEE International Conference on
Conference_Location :
Seville
Type :
conf
DOI :
10.1109/ICIT.2015.7125244
Filename :
7125244
Link To Document :
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