Abstract
Off-Grid systems are energetic objects independent of an external power supply. It uses primarily renewable sources what causes low and variable short-circuit power that must be controlled. Also in the Off-Grid system is a need to keep power quality parameters in requested limits. This requires a power quality parameters forecast and also a forecast of electric energy production from renewable sources. For these forecasts a complex analysis of Off-Grid parameters is an important task. This paper proposes method that processes data set from the Off-Grid system using Dimensionality Reduction and the Self-organizing Map to obtain relations and dependencies between power quality parameters, electric power parameters and meteorological parameters.
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Acknowledgments
This paper was conducted within the framework of the IT4Innovations Centre of Excellence project, reg. no. CZ.1.05/1.1.00/02.0070, project ENET CZ.1.05/2.1.00/03.0069, Students Grant Competition project reg. no. SP2015/142, SP2015/146, SP2015/170, SP2015/178, project LE13011 Creation of a PROGRES 3 Consortium Office to Support Cross-Border Cooperation (CZ.1.07/2.3.00/20.0075) and project TACR: TH01020426.
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Burianek, T., Vantuch, T., Stuchly, J., Misak, S. (2015). Off-Grid Parameters Analysis Method Based on Dimensionality Reduction and Self-organizing Map. In: Matoušek, R. (eds) Mendel 2015. ICSC-MENDEL 2016. Advances in Intelligent Systems and Computing, vol 378. Springer, Cham. https://doi.org/10.1007/978-3-319-19824-8_19
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DOI: https://doi.org/10.1007/978-3-319-19824-8_19
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