A fuzzy-PSO based controller for a grid independent photovoltaic system
Proceedings of the 2007 IEEE Swarm Intelligence Symposium, SIS 2007, Page: 227-233
2007
- 23Citations
- 64Usage
- 15Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Metrics Details
- Citations23
- Citation Indexes23
- 23
- CrossRef11
- Usage64
- Downloads64
- Captures15
- Readers15
- 15
Conference Paper Description
This paper presents a particle swarm optimization (PSO) method for optimizing a fuzzy logic controller (FLC) for a photovoltaic (PV) grid independent system consisting of a PV collector array, a storage battery, and loads (critical and non-critical loads). PSO is used to optimize both the membership functions and the rule set in the design of the FLC. Optimizing the PV system controller yields improved performance, allowing the system to meet more of the loads and keep a higher average state of battery charge. Potential benefits of a optimized controller include lower costs through smaller system sizing and a longer battery life. © 2007 IEEE.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=34548715335&origin=inward; http://dx.doi.org/10.1109/sis.2007.367942; http://ieeexplore.ieee.org/document/4223179/; http://xplorestaging.ieee.org/ielx5/4223143/4223144/04223179.pdf?arnumber=4223179; https://scholarsmine.mst.edu/ele_comeng_facwork/1361; https://scholarsmine.mst.edu/cgi/viewcontent.cgi?article=2360&context=ele_comeng_facwork
Institute of Electrical and Electronics Engineers (IEEE)
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