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Smart city article details
| Title | A Multi-Objective Problem In A Pso-Based Control System For Maximum Power Point Tracking |
|---|---|
| ID_Doc | 2837 |
| Authors | Yasukawa S.; Saito T. |
| Year | 2019 |
| Published | 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings |
| DOI | http://dx.doi.org/10.1109/CEC.2019.8790176 |
| Abstract | This paper studies a multi-objective problem in a control system of maximum power point tracking in a switching power converter with photovoltaic input. In order to extract the maximum power from the input, the control system adjusts the duty ratio of switching power converter. The control system uses the particle swarm optimizer from which two key parameters are selected. The objective problem aims at optimizing two objects: efficiency of input power and convergence speed of the control system. The problem is described by two objection functions of the key parameters. Applying a simple multi-objective evolutionary algorithm, it is clarified that there exists a trade-off between the two objects. The results give important information to design efficient renewable energy supply systems in the smart city era. © 2019 IEEE. |
| Author Keywords | Maximum power point tracking; MOEA/D; PSO |
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