基于粒子群优化的海水电池最大功率点跟踪

2018 IEEE International Conference on Innovative Research and Development (ICIRD) Pub Date : 2018-05-11 DOI:10.1109/ICIRD.2018.8376295

Soedibyo, M. Ridwan, A. Pradipta, Sjamsjul Anam, M. Ashari

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引用次数: 2

摘要

海水电池在印度尼西亚被提议作为一种可再生能源，因为它适用于一个群岛国家。海水的盐度使海水电池的功率发生变化。提出了用粒子群算法跟踪海水电池最大功率点的方法。结果表明，在盐度变化的情况下，PSO能很好地跟踪最大功率点。对于3kw海水电池设计，随盐度变化的平均输出功率为2964瓦。

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Particle swarm optimization based maximum power point tracking for seawater battery application

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.

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2018 IEEE International Conference on Innovative Research and Development (ICIRD)

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