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A Simulation Approach for the Optimization of Solar Powered Smart Migro-Grids

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Complex, Intelligent, and Software Intensive Systems (CISIS 2017)

Abstract

A smart micro-grid requires information technology to fast detect and control grid instabilities and to validate that processes will work as designed. But real power grid can not be used for testing and validation, so it is convenient to develop tools to simulate the real system. A relevant challenge in this field is the modeling of the grid, including sensors, control, communication network and computational components using software simulation. But the choice of the simulator depends on the research questions to be answered and possible existing simulation tools to combine with. In this paper we present a simulator we have designed and developed in the context of the CoSSMic project in order to test and control system behavior when anomalies are injected or initial conditions are modified and in order to analyze system performance and quality of service.

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Notes

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    https://influxdb.com/.

  2. 2.

    http://grafana.org/.

References

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Acknowledgements

This work has been supported by CoSSMic (Collaborating Smart Solar-powered Micro-grids - FP7-SMARTCITIES-2013).

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Correspondence to Alba Amato .

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Amato, A., Aversa, R., Di Martino, B., Scialdone, M., Venticinque, S. (2018). A Simulation Approach for the Optimization of Solar Powered Smart Migro-Grids. In: Barolli, L., Terzo, O. (eds) Complex, Intelligent, and Software Intensive Systems. CISIS 2017. Advances in Intelligent Systems and Computing, vol 611. Springer, Cham. https://doi.org/10.1007/978-3-319-61566-0_80

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  • DOI: https://doi.org/10.1007/978-3-319-61566-0_80

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