Real-time operation of multi-micro-grids using a multi-agent system
Elsevier-Energy • 2019
Publication Information
Authors
H.E. Keshta; A.A. Ali; E.M. Saied; F.M. Bendary
Keywords
Multi-micro-grids
Multi-agent system (MAS)
Distributed generation and energy
management
Journal
Elsevier-Energy
Publisher
ScienceDirect
Volume
174
Issue
1 May 2019
Pages
576-590
publication.type
International
Paper Link
Open Link
Supplementary Materials
Not Available
Abstract
The inaccurate prediction of solar irradiance, wind speed and demand load may significantly influence
the operation of micro-grids. This condition causes unbalances between generation and load that lead to
variations in DC and AC bus voltages, and may affect system stability. A multi-agent system (MAS) is
proposed in this study to achieve optimal energy management for voltage regulation and to enhance the
stability of a system under different weather conditions and load perturbations for two connected microgrids.
Optimum operation is achieved through two stages. The first stage is the optimum day-ahead
energy from each source based on historical data. The second stage is implemented to maintain the
balance between generation and load by considering economic operation during real-time operation.
This stage can be realized by controlling converters related to each source in both micro-grids. Different
scenarios are presented to evaluate the effectiveness of the proposed MAS. The simulation results
demonstrate that the performance of the proposed energy management system is efficient.
the operation of micro-grids. This condition causes unbalances between generation and load that lead to
variations in DC and AC bus voltages, and may affect system stability. A multi-agent system (MAS) is
proposed in this study to achieve optimal energy management for voltage regulation and to enhance the
stability of a system under different weather conditions and load perturbations for two connected microgrids.
Optimum operation is achieved through two stages. The first stage is the optimum day-ahead
energy from each source based on historical data. The second stage is implemented to maintain the
balance between generation and load by considering economic operation during real-time operation.
This stage can be realized by controlling converters related to each source in both micro-grids. Different
scenarios are presented to evaluate the effectiveness of the proposed MAS. The simulation results
demonstrate that the performance of the proposed energy management system is efficient.
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