Research Papers

Framework for Monitoring and Assessing Small and Medium Solar Energy Plants

[+] Author and Article Information
Ildefonso Martínez Marchena

Dpto. Lenguajes y Ciencias de la Computación,
Universidad de Málaga,
Campus de Teatinos, sn,
Málaga 29071, Spain
e-mail: ilde@lcc.uma.es

Mariano Sidrach-de-Cardona

Dpto. Física Aplicada II,
Universidad de Málaga,
Campus de Teatinos, sn
Málaga 29071, Spain
e-mail: msidrach@uma.es

Llanos Mora-López

Associate Professor
Dpto. Lenguajes y Ciencias de la Computación,
Universidad de Málaga,
Campus de Teatinos, sn
Málaga 29071, Spain
e-mail: llanos@uma.es

1Corresponding author.

Contributed by the Solar Energy Division of ASME for publication in the JOURNAL OF SOLAR ENERGY ENGINEERING: INCLUDING WIND ENERGY AND BUILDING ENERGY CONSERVATION. Manuscript received May 26, 2014; final manuscript received July 28, 2014; published online September 30, 2014. Assoc. Editor: Santiago Silvestre.

J. Sol. Energy Eng 137(2), 021007 (Sep 30, 2014) (7 pages) Paper No: SOL-14-1158; doi: 10.1115/1.4028398 History: Received May 26, 2014; Revised July 28, 2014

The monitoring and assessment of small and medium solar energy plants were ruled out as the existing programs for these tasks are expensive and they are designed to run directly on the installation site, making it necessary to have both a monitoring system, such as data logger, and specialized staff capable of analyzing the monitoring data. To address these problems, this paper presents a framework that allows the development of programs for remote monitoring and automatic evaluation of solar energy plants without using any additional hardware. Software architecture based on separating the software functionalities into several layers and on using a hierarchical model of the plant elements is proposed. This framework allows the integration of different technologies and communication protocols of devices used in solar energy plants. A monitoring and assessing program for several dispersed solar energy installations has been developed as practical example.

Copyright © 2015 by ASME
Topics: Solar energy
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Lin, H., 2006, “On Line Web-Based Maximum Wind Power Monitoring and Control System,” IEEE International Conference on Systems, Man and Cybernetics, Taipei, Taiwan, Oct. 8–11, pp. 3932–3937. [CrossRef]
Wang, L., and Liu, K.-H., 2007, “Implementation of a Web-Based Real-Time Monitoring and Control System for a Hybrid Wind-PV-Battery Renewable Energy System,” International Conference on Intelligent Systems Applications to Power Systems, Toki Messe, Niigata, Nov. 5–8, pp. 99–105. [CrossRef]
Figueiredo, J., and Sa da Costa, J., 2008, “An Efficient System to Monitor and Control the Energy Production and Consumption,” 5th International Conference on European Electricity Market, Lisboa, Portugal, May 28–30, pp. 1–6. [CrossRef]
Benghanem, M., and Maafi, A., 1998, “Data Acquisition System for Photovoltaic Systems Performance Monitoring,” IEEE Trans. Instrum. Meas., 47(1), pp. 30–33. [CrossRef]
Chowdhury, S., Day, P., Taylor, G. A., Chowdhury, S. P., Markvart, T., and Song, Y. H., 2008, “Supervisory Data Acquisition and Performance Analysis of a PV Array Installation With Data Logger,” IEEE Power and Energy Society General Meeting—Conversion and Delivery of Electrical Energy in the 21st Century, Pittsburgh, PA, July 20–24, pp. 1–8. [CrossRef]
Guozhen, H., Tao, C., Changsong, C., and Shanxu, D., 2009, “Solutions for Scada System Communication Reliability in Photovoltaic Power Plants,” IEEE 6th International Power Electronics and Motion Control Conference, Wuhan, China, May 17–20, pp. 2482–2485. [CrossRef]
Ulieru, V. D., Cepisca, C., Ivanovici, T. D., Poboata, A., Husu, A., and Pascale, L., 2010, “Measurement and Analysis in PV Systems,” Proceedings of the International Conference on Circuits, ICC 2010, WSEAS, Korfu Island, Greece, July 22–24, pp. 137–142.
Torres, M., Muñoz, F. J., Muñoz, J. V., and Rus, J. C., 2012 “Online Monitoring System for Stand-Alone Photovoltaic Applications—Analysis of System Performance From Monitored Data,” ASME J. Sol. Energy Eng., 134(3), p. 034502–034502-8. [CrossRef]
Chouder, A., Silvestre, S., Taghezouit, B., and Karatepe, E., 2013, “Monitoring, Modelling and Simulation of PV Systems Using labview,”Sol. Energy, 91, pp. 337–349. [CrossRef]
Silvestre, S., Chouder, A., and Karatepe, E., 2013 “Automatic Fault Detection in Grid Connected pv Systems,” Sol. Energy, 94, pp. 119–127. [CrossRef]
Wills, L., Kannan, S., Sander, S., Guler, M., Heck, B., Prasad, J. V. R., Schrage, D., and Vachtsevanos, G., 2001, “An Open Platform for Reconfigurable Control,” IEEE Control Syst., 21(3), pp. 49–64. [CrossRef]
Holley, D. W., 2004 “Understanding and Using opc Maintenance and Reliability Applications,” Comput. Control Eng. J., 15(1), pp. 28–31. [CrossRef]
Lange, J., Iwanitz, F., and Burke, T., 2010, OPC–From Data Access to Unified Architecture, VDE Verlag GMBH, Berlin, Germany.
Schellenberg, F. M., Toublan, O., Capodieci, L., and Socha, B., 2001, “Adoption of OPC and the Impact on Design and Layout,” Technical Report, DAC, Las Vegas, NV.
Liu, J., Lim, K. W., Ho, W. K., Tan, K. C., Tay, A., and Srinivasan, R., 2005, “Using the opc Standard for Real-Time Process Monitoring and Control,” IEEE Softw., 22(6), pp. 54–59. [CrossRef]
Blaesser, G., and Munro, D., eds., 1995, “Guidelines for the Assessment of Photovoltaic Plants. Document B. Analysis and Presentation of Monitoring Data,” Technical report, report eur 16339 en., Joint Research Centre, European Commission. Institute for Systems Engineering and Informatics.
Ayompe, L. M., Duffy, A., McCormack, S. J., and Conlon, M., 2011, “Measured Performance of a 1.72 kw Rooftop Grid Connected Photovoltaic System in Ireland,” Energy Convers. Manage., 52(2), pp. 816–825. [CrossRef]
Osterwald, C. R., 1986, “Translation of Device Performance Measurements to Reference Conditions,” Sol. Cells, 18(3–4), pp. 269–279. [CrossRef]
Vergura, S., Acciani, G., Amoruso, V., Patrono, G. E., and Vacca, F., 2009, “Descriptive and Inferential Statistics for Supervising and Monitoring the Operation of pv Plants,” IEEE Trans. Indust. Electron., 56(11), pp. 4456–4464. [CrossRef]
Jarque, C. M., Bera, A., and Anil, K., 1987, “A Test for Normality of Observations and Regression Residuals,” Int. Stat. Rev., 55(2), pp. 163–172. [CrossRef]


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Fig. 1

Layered software architecture of the proposed framework

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Fig. 2

Hierarchy of the different installation elements

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Fig. 3

OPC devices communication

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Fig. 4

OPC scheme for including assessment models

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Fig. 9

Daily final yield for five installations in the same location

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Fig. 10

Recorded values of PCA and irradiance for a day with low daily final yield

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Fig. 11

PCA (measured) versus PCA* (estimated). In red circles, the pairs where the installation did not work properly

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Fig. 8

Wp and Yf,day for all the installations

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Fig. 7

Scheme of the developed monitoring and assessment system for 40 photovoltaic solar energy plants

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Fig. 6

Scheme of a photovoltaic solar energy plant and the proposed monitoring and assessment program

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Fig. 5

Flowchart for assessing solar energy plants




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