Abstract:
This work addresses the issue of energy distribution between stations of an autonomous small-scale smart-grid network using a replicable and upscalable methodology that r...Show MoreMetadata
Abstract:
This work addresses the issue of energy distribution between stations of an autonomous small-scale smart-grid network using a replicable and upscalable methodology that relies on a Finite State Machine (FSM) approach. The development of the FSM approach involves the modelling of all systems (nodes) of the autonomous network and the identification of the needs and the requirements for energy management in a dynamic and distributed environment where Renewable Energy Sources (RES) are used as the main source of power to the grid. Furthermore, applicability of FSM approach is a main issue, since the final objective is its online implementation to the supervisory control system that derives and supplies the operations-related actions to the involved nodes of the network relying on industrial-grade software. Some indicative results are presented that demonstrate the response of the proposed method to a smart grid network with RES and hydrogen production, usage and storage.
Published in: 2018 5th International Conference on Control, Decision and Information Technologies (CoDIT)
Date of Conference: 10-13 April 2018
Date Added to IEEE Xplore: 25 June 2018
ISBN Information:
Electronic ISSN: 2576-3555