Abstract
In this article, we present a collection of significant (computationally-hard) search problems, encountered in contemporary decentralized power grids, such as complex smart grids. Against this background, we show how Answer Set Programming (ASP) can be utilized as a powerful tool for efficiently addressing these problems. The overall demonstration provides the ability to assess potential (harmful) issues that a power electrical system may face, due to a variety of topological failures, a fact which, in turn, results in augmented reliability and robustness of energy distribution and management.
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The authors are grateful to the anonymous reviewers for their valuable input.
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Aravanis, T., Petratos, A., Douklia, G., Plati, E. (2021). Search Problems in Contemporary Power Girds. In: Iliadis, L., Macintyre, J., Jayne, C., Pimenidis, E. (eds) Proceedings of the 22nd Engineering Applications of Neural Networks Conference. EANN 2021. Proceedings of the International Neural Networks Society, vol 3. Springer, Cham. https://doi.org/10.1007/978-3-030-80568-5_28
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