Abstract
The article proposes a solution for low-efficiency and inadequate power distribution in zero-energy building grids. Distributed knowledge base application enables power grid segments with self-sustainability and amplification of zero-energy building efficiency. Proposed methodology of smart grids development is headed towards the optimal power generation and consumption control, adjusted power spike handling and improvements in operational reliability. Key performance indicators of various levels and hardware restrictions are taken into account. The system is able to function based on already existing equipment with minor adjustments. According to the proposed algorithm, a computer model is written. The model creates randomly generated power grid segments consisting of zero-energy buildings, non-producing buildings and supportive equipment. Each individual building receives its own power consumption and production levels. Those parameters are measured and analyzed within two series of experiments. The conducted tests showed efficiency of the proposed logic and measure potential power savings within the worst-case and the best-case scenarios and use cases.
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Kostenko, D., Arseniev, D.G., Onufriev, V.A. (2020). Distributed Knowledge Base of Intellectual Control in Smart Grids. In: Arseniev, D., Overmeyer, L., Kälviäinen, H., Katalinić, B. (eds) Cyber-Physical Systems and Control. CPS&C 2019. Lecture Notes in Networks and Systems, vol 95. Springer, Cham. https://doi.org/10.1007/978-3-030-34983-7_16
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DOI: https://doi.org/10.1007/978-3-030-34983-7_16
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