Real-time operation of multi-micro-grids using a multi-agent system
Elsevier-Energy • 2019
معلومات البحث
المؤلفون
H.E. Keshta; A.A. Ali; E.M. Saied; F.M. Bendary
الكلمات المفتاحية
Multi-micro-grids
Multi-agent system (MAS)
Distributed generation and energy
management
المجلة العلمية
Elsevier-Energy
الناشر
ScienceDirect
المجلد
174
العدد
1 May 2019
الصفحات
576-590
publication.type
International
رابط البحث
Open Link
المواد المرفقة
Not Available
الملخص
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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