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Application of Hybrid Petri Nets for the Energy Dispatching of an Isolated Micro-Grid

Application of Hybrid Petri Nets for the Energy Dispatching of an Isolated Micro-Grid

Dalia Fendri, Maher Chaabene
Copyright: © 2020 |Volume: 11 |Issue: 1 |Pages: 12
ISSN: 1947-8283|EISSN: 1947-8291|EISBN13: 9781799802846|DOI: 10.4018/IJAMC.2020010105
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MLA

Fendri, Dalia, and Maher Chaabene. "Application of Hybrid Petri Nets for the Energy Dispatching of an Isolated Micro-Grid." IJAMC vol.11, no.1 2020: pp.61-72. http://doi.org/10.4018/IJAMC.2020010105

APA

Fendri, D. & Chaabene, M. (2020). Application of Hybrid Petri Nets for the Energy Dispatching of an Isolated Micro-Grid. International Journal of Applied Metaheuristic Computing (IJAMC), 11(1), 61-72. http://doi.org/10.4018/IJAMC.2020010105

Chicago

Fendri, Dalia, and Maher Chaabene. "Application of Hybrid Petri Nets for the Energy Dispatching of an Isolated Micro-Grid," International Journal of Applied Metaheuristic Computing (IJAMC) 11, no.1: 61-72. http://doi.org/10.4018/IJAMC.2020010105

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Abstract

Renewable energy-based autonomous installations sometimes have an energy deficiency or excess caused by the intermittence of renewable sources and the dynamics of the load. Storage systems are unable to cover load supply during long weather instability. In case of neighboring autonomous installations, some have a lack of energy while neighbors have overproduction. Hence, interconnecting installations via a micro-grid (MG) should allow supply installations experiencing an energy lack by sending them energy surplus from others. This article presents a Hybrid Petri Net (HPN) strategy for a micro-grid energy provider in order to make hourly decisions on dispatching energy between the connected installations. An HPN model combines discrete events (house energy state) and continuous events (energy flow) to cover the need of some installations by energy surplus offered by its neighbours. The algorithm has been validated for three connected houses with different load profiles. Results show that installations cover each other in energy without the need to refer to their batteries in case of a lack of energy.

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