A capacitor based fast I-V characteristics tester for photovoltaic arrays. (July 2018)
- Record Type:
- Journal Article
- Title:
- A capacitor based fast I-V characteristics tester for photovoltaic arrays. (July 2018)
- Main Title:
- A capacitor based fast I-V characteristics tester for photovoltaic arrays
- Authors:
- Chen, Zhicong
Lin, Wencheng
Wu, Lijun
Long, Chao
Lin, Peijie
Cheng, Shuying - Abstract:
- Abstract: In order to efficiently evaluate the operating status of photovoltaic (PV) arrays, a design of fast current-voltage (I-V) characteristic tester is proposed in this paper. The tester uses the dynamic capacitor charging method to quickly sweep I-V characteristic curves. Then, a new artificial bee colony and Nelder-Mead simplex (ABC-NMS) hybrid algorithm is used to extract parameters of the single diode model of PV arrays. The experimental results show that the tester can quickly measure high-quality I-V curves of PV array and achieve accurate model parameters extraction. In addition, the root mean square error (RMSE) of curve fitting can be used to effectively indicate the partial shading condition.
- Is Part Of:
- Energy procedia. Volume 145(2018)
- Journal:
- Energy procedia
- Issue:
- Volume 145(2018)
- Issue Display:
- Volume 145, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 145
- Issue:
- 2018
- Issue Sort Value:
- 2018-0145-2018-0000
- Page Start:
- 381
- Page End:
- 387
- Publication Date:
- 2018-07
- Subjects:
- PV arrays -- I-V characteristics testing -- dynamic capacitor charging -- parameter extraction -- ABC-NMS algorithm -- partial shading
Power resources -- Congresses
Power resources -- Periodicals
Power resources
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Periodicals
333.7905 - Journal URLs:
- http://www.sciencedirect.com/science/journal/18766102 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.egypro.2018.04.032 ↗
- Languages:
- English
- ISSNs:
- 1876-6102
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3747.729700
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