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Optimal Energy Management and Scheduling of a Microgrid in Grid-Connected and Islanded Modes
Computer Science and Engineering
  • Lazaros Zacharia
  • Lysandros Tziovani
  • M. Savva
  • Lenos Hadjidemetriou
  • Elias Kyriakides
  • Angelina D. Bintoudi
  • Apostolos C. Tsolakis
  • Dimitrios Tzovaras
  • José Luis Martínez-Ramos
  • A. Marano
  • Brian Azzopardi
  • Nis Martensen
  • Mounir Khiat
  • Ahmet Onen
  • Salem Al-Agtash, Santa Clara University
Document Type
Conference Proceeding
Publication Date
9-1-2019
Publisher
IEEE
Disciplines
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.

Comments

Published in: 2019 International Conference on Smart Energy Systems and Technologies (SEST)

Date of Conference: 09-11 September 2019

Date Added to IEEE Xplore: 26 September 2019

Citation Information
Zacharia, L., Tziovani, L., Savva, M., Hadjidemetriou, L., Kyriakides, E., Bintoudi, A. D., Tsolakis, A., Tzovaras, D., Martinez-Ramos, J. L., Marano, A., Azzopardi, B., Martensen, N., Khiat, M., Onen, A., & Al-Agtash, S. (2019). Optimal Energy Management and Scheduling of a Microgrid in Grid-Connected and Islanded Modes. 2019 International Conference on Smart Energy Systems and Technologies (SEST), 1–6. https://doi.org/10.1109/SEST.2019.8849121