Abstract
Recently, DC power distribution is gaining more and more importance over its AC counterpart achieving increased efficiency, greater flexibility, reduced volumes and capital cost. In this paper, a 24-120-325V two-level DC distribution system for home appliances, each including three parallel DC-DC converters, is modeled. An active load sharing technique is proposed for the on-line optimization of the global efficiency of the DC distribution network. The algorithm aims at the instantaneous efficiency optimization of the whole DC network, based on the on-line load current sampling. A Look Up Table, is created to store the real efficiencies of the converters taking into account components tolerances. A MATLAB/Simulink model of the DC distribution network has been set up and a Genetic Algorithm has been employed for the global efficiency optimization. Simulation results are shown to validate the proposed solution.
Original language | English |
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Title of host publication | Proceedings of the 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) |
Number of pages | 5 |
Publisher | IEEE Press |
Publication date | Jun 2017 |
Article number | 7977568 |
ISBN (Electronic) | 978-1-5386-3917-7 |
DOIs | |
Publication status | Published - Jun 2017 |
Event | 17th IEEE International Conference on Environment and Electrical Engineering and 2017 1st IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2017 - Milan, Italy Duration: 6 Jun 2017 → 9 Jun 2017 |
Conference
Conference | 17th IEEE International Conference on Environment and Electrical Engineering and 2017 1st IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2017 |
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Country/Territory | Italy |
City | Milan |
Period | 06/06/2017 → 09/06/2017 |
Sponsor | IEEE EMC Society, IEEE Industry Applications Society (IAS), IEEE Power and Energy Society (PES) |
Keywords
- DC distribution
- Global efficiency optimization
- Optimal load sharing