TY - GEN
T1 - Secondary Control of Microgrid using Multi-Agent Systems
AU - Al-Issaei, Ahmed
AU - Al-Abri, Rashid
AU - Yousef, Hasan
AU - Soliman, Hisham M.
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/6
Y1 - 2019/6
N2 - Microgrids are a way to integrate multiple local generation units, including Renewable Energy Resources, power storage, and load under one entity. The purpose of Microgrid is to increase the penetration of renewable energy, optimize Grid operations, and incorporate communication in a way that allow for the realization of Smart Grids. This concept promises to resolve many of the issues and challenges faced by the increase in the demand of electrical power. In this paper, a Power Management System algorithm in secondary control of a Microgrid is developed and simulated. The algorithm is implemented using Multi-Agent System technology and simulated in both MATLAB/SIMULINK and Java Agent Development Environment environments. The Microgrid is operated in grid-connected mode and consists of 2 distributed generation units (representing a Photo voltaic System and a Wind Turbine), a distributed storage unit, a variable RL load. The simulation for this Microgrid is run and the performance of the algorithm is finally presented.
AB - Microgrids are a way to integrate multiple local generation units, including Renewable Energy Resources, power storage, and load under one entity. The purpose of Microgrid is to increase the penetration of renewable energy, optimize Grid operations, and incorporate communication in a way that allow for the realization of Smart Grids. This concept promises to resolve many of the issues and challenges faced by the increase in the demand of electrical power. In this paper, a Power Management System algorithm in secondary control of a Microgrid is developed and simulated. The algorithm is implemented using Multi-Agent System technology and simulated in both MATLAB/SIMULINK and Java Agent Development Environment environments. The Microgrid is operated in grid-connected mode and consists of 2 distributed generation units (representing a Photo voltaic System and a Wind Turbine), a distributed storage unit, a variable RL load. The simulation for this Microgrid is run and the performance of the algorithm is finally presented.
KW - Distributed Generation
KW - Hierarchical Control
KW - Microgrid
KW - Multi-Agent Systems
KW - Power Management System
KW - Primary Control
KW - Renewable Energy
KW - Secondary Control
KW - Smart Grid
UR - http://www.scopus.com/inward/record.url?scp=85070576779&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85070576779&partnerID=8YFLogxK
U2 - 10.1109/ISIE.2019.8781532
DO - 10.1109/ISIE.2019.8781532
M3 - Conference contribution
AN - SCOPUS:85070576779
T3 - IEEE International Symposium on Industrial Electronics
SP - 171
EP - 176
BT - Proceedings - 2019 IEEE 28th International Symposium on Industrial Electronics, ISIE 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 28th IEEE International Symposium on Industrial Electronics, ISIE 2019
Y2 - 12 June 2019 through 14 June 2019
ER -
