@inproceedings{a75718015db649b680f47800da64f80b,
title = "Particle swarm optimization based maximum power point tracking for seawater battery application",
abstract = "Sea water battery is proposed as a renewable energy source in Indonesia, since it is suitable alternative applied for an archipelago country. The salinity of sea water causes the power of seawater battery is going to be changed. Particle Swarm Optimization (PSO) is proposed for tracking the maximum power point of sea water battery. The result shows that PSO can track the maximum power point very well though the salinity changes every time. The average power output with the change of salinity is obtained as 2964 watt for 3 kW seawater battery design.",
keywords = "Maximum power point tracking (mppt), Particle swarm optimization (pso), Renewable energy, Sea water battery",
author = "Soedibyo and Mohamad Ridwan and Andri Pradipta and Sjamsjul Anam and Mochamad Ashari",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE International Conference on Innovative Research and Development, ICIRD 2018 ; Conference date: 11-05-2018 Through 12-05-2018",
year = "2018",
month = jun,
day = "8",
doi = "10.1109/ICIRD.2018.8376295",
language = "English",
series = "2018 IEEE International Conference on Innovative Research and Development, ICIRD 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--6",
booktitle = "2018 IEEE International Conference on Innovative Research and Development, ICIRD 2018",
address = "United States",
}
