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Erschienen in:
2023 | OriginalPaper | Buchkapitel
A Review of Frequency Control Techniques Using Artificial Neural Network for Urban Microgrid Applications
verfasst von : Louise Petit, Bruno Francois
Erschienen in: ELECTRIMACS 2022
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Abstract
The increasing penetration of intermittent Renewable Energy Sources (RES) induces more instability of the grid and constraints on the Energy Management (EM). Microgrids (MG) are more and more experimented to better implement local flexibilities for dynamically balancing the production and load demand inside a specific area as districts of a city, as example. New solutions like Artificial Intelligence (AI) and Artificial Neural Networks (ANN) are being developed in order to improve the real-time energy management. Specifically this paper deals with the operational management of energy resources via the tuning of the frequency control parameters to satisfy the load demand. A non-exhaustive review of ANN techniques for enhancing the frequency control in microgrids is proposed. ANN techniques are shown to be performing better than other AI techniques on the specific cases reported here.