Open Access
Optimising PV array performance using real time measurements
S. Ransome,J. Wohlgemuth,R. Morgan +2 more
- 18 May 2003
- Vol. 3, pp 2396-2399
TL;DR: In this paper, mathematical methods used to analyse instantaneous or averaged array data in real time to determine when arrays are not performing optimally and shows how to help identify what is causing the loss.
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Abstract: BP Solar is involved in long term studies on IV swept, maximum power point tracked or grid connected arrays at currently 67 sites worldwide. Recent studies have shown that many PV arrays can suffer lower performance than expected due mainly to BOS limitations like inverter efficiency, mismatch, shading, thermal losses and V/sub MAX/ tracking accuracy. This paper discusses mathematical methods used to analyse instantaneous or averaged array data in real time to determine when arrays are not performing optimally and shows how to help identify what is causing the loss. Empirical equations are introduced to help determine what power the system should be producing during each measurement period.
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Citations
Power Operation Optimization of Photovoltaic Stand Alone System with Variable Loads Using Fuzzy Voltage Estimator and Neural Network Controller
B.C. Paucar,J.L.R. Ortiz,K.S. Collazos,L.L.C. Leite,J.O.P. Pinto +4 more
- 01 Jul 2007
TL;DR: In this article, a fuzzy logic system is implzemented to estimate, from radiation and temperature data, the maximum voltage of operation of a PV generator, and charge and discharge of the battery and the SOC battery are controlled with a radial basis function neural network (RBF-NN).
12
An overview of 4 years of kWh/kW/sub p/ monitoring at 67 sites worldwide
S. Ransome,J. Wohlgemuth +1 more
- 18 May 2003
TL;DR: In this paper, the authors show that the differences between different PV systems depend strongly on module power tolerance, mismatch between series connected modules, BOS losses and downtime, as well as the number of series connections.
•Dissertation
Grid connected solar photovoltaic system efficiency : case study for landed residential
Donny Seng Pey Chew
- 01 Jun 2014
TL;DR: In this article, the authors evaluate the field test efficiency of grid connected solar PV system by simulation, field test results and real time data monitoring, the peak power produced is measured and compared with the manufacturing test report to ensure all the modules in the string will have power rating at the acceptable tolerance.
Application Of RBF-NN On Power Operation Optimization Of Photovoltaic Stand Alone System With Variable Loads
B. Chuco,J. L. R. Ortiz,J. O. P. Pinto,K. S. C. Linares,L.L.C. Leite +4 more
- 14 Apr 2016
TL;DR: The application of Artificial Neural Network is presented to a maximum voltage estimator and control system to maintain the photovoltaic (PV) generator in the maximum power point, independent of load variations.
A low-cost and fast PV I-V curve tracer based on an open source platform with M2M communication capabilities for preventive monitoring☆
Panagiotis Papageorgas,Dimitrios Piromalis,T. Valavanis,S. Kambasis,T. Iliopoulou,Georgios A. Vokas +5 more
TL;DR: In this paper, a low-cost I-V curve tracer for solar panels is presented, which is based on an open-source platform with an embedded microcontroller that integrates contemporary technologies for power consumption and measurement together with networking technologies for M2M communication.
References
Analysis of factors influencing the annual energy production of photovoltaic systems
David L. King,William E. Boyson,Jay A. Kratochvil +2 more
- 19 May 2002
TL;DR: In this paper, the effect of the primary factors influencing the DC-energy available from different photovoltaic module technologies, and contrasts these influences with other system-level factors that often result in significantly less AC-energy delivered to the load than the array is capable of providing.
167
kWh/kWp dependency on PV technology and balance of systems performance
S.J. Ransome,J.H. Wohlgemuth +1 more
- 19 May 2002
TL;DR: In this article, the authors study how only some of the differences found depend on the intrinsic properties of the PV module and how much depend on other factors like BOS performance (inverter, V/sub MAX/ tracking) and "rated versus actual" watts.
An overview of 4 years of kWh/kW/sub p/ monitoring at 67 sites worldwide
S. Ransome,J. Wohlgemuth +1 more
- 18 May 2003
TL;DR: In this paper, the authors show that the differences between different PV systems depend strongly on module power tolerance, mismatch between series connected modules, BOS losses and downtime, as well as the number of series connections.