Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/97703
Title: Optimal energy management and scheduling of a microgrid in grid-connected and islanded modes
Authors: Zacharia, Lazaros
Tziovani, Lysandros
Savva, Maria
Hadjidemetriou, Lenos
Kyriakides, Elias
Bintoudi, Angelina D.
Tsolakis, Apostolos C.
Tzovaras, Dimitrios
Martinez-Ramos, José Luis
Marano, Alejandro
Azzopardi, Brian
Martensen, Nis
Khiat, Mounir
Onen, Ahmet
Al-Agtash, Salem
Keywords: Smart power grid
Energy storage
Photovoltaic power systems
Microgrids (Smart power grids)
Electric power distribution
Power electronics
Issue Date: 2019
Publisher: IEEE
Citation: Zacharia, L., Tziovani, L., Savva, M., Hadjidemetriou, L., Kyriakides, E., Bintoudi, A. D., ... & Al-Agtash, S. (2019, September). Optimal energy management and scheduling of a microgrid in grid-connected and islanded modes. In 2019 International Conference on Smart Energy Systems and Technologies (SEST), Portugal. 1-6
Abstract: Microgrids are becoming one of the main components of future smart grids. Ensuring their optimal and stable operation is of crucial importance and can be a challenging task. In this paper, two optimization algorithms are implemented for scheduling the microgrid operation in grid-connected and islanded modes, according to the priorities and objectives in each mode. For achieving an optimal operation at each mode, the proposed scheme is able to shed loads, define the generation level of the photovoltaics and regulate the charging/discharging level of the Energy Storage System (ESS). The effectiveness of the proposed scheduling is demonstrated through an analytical real-time simulation, where various transitions between the grid-connected and islanded modes are considered. The results indicate that the proposed scheme is able to regulate successfully the energy flows of the microgrid even under various transitions.
URI: https://www.um.edu.mt/library/oar/handle/123456789/97703
Appears in Collections:Scholarly Works - FacEngSCE

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