TY - JOUR
T1 - Robust multi-agent system for efficient online energy management and security enforcement in a grid-connected microgrid with hybrid resources
AU - Elgamal, Mohamed
AU - Korovkin, Nikolay
AU - Elmitwally, Akram
AU - Chen, Zhe
N1 - Publisher Copyright:
© The Institution of Engineering and Technology 2020.
PY - 2020/5/11
Y1 - 2020/5/11
N2 - This study proposes a new multi-agent control system (MACS) for energy management in a microgrid (MG). Thelatter includes photovoltaic arrays and wind turbine generators as renewable energy resources. It also has microturbines, fuelcell units, and an energy storage system (ESS). The MACS determines the optimal active and reactive powers of thedispatchable energy resources. It also identifies the ESS charging/discharging times. The MACS supervises energymanagement among local distributed generators (DGs), main grid, and loads to maximise profit while satisfying all operationalconstraints. The MG collaborates in the electricity market. It purchases/sells active and reactive powers from/to the main grid.Furthermore, MACS dynamically corrects the possible voltage violations and eliminates line congestion using the coordinationof reactive power control. Agents at dispatchable DGs and ESS buses tackle the optimal economical operation. Other agentsregulate the nodes voltages and remove line congestions. A parallel computing-based full dynamic simulation model of theMACS and the MG power system is implemented. Moreover, the performance comparisons between the proposed MACS andrecent approaches are presented to evaluate the performance of MACS.
AB - This study proposes a new multi-agent control system (MACS) for energy management in a microgrid (MG). Thelatter includes photovoltaic arrays and wind turbine generators as renewable energy resources. It also has microturbines, fuelcell units, and an energy storage system (ESS). The MACS determines the optimal active and reactive powers of thedispatchable energy resources. It also identifies the ESS charging/discharging times. The MACS supervises energymanagement among local distributed generators (DGs), main grid, and loads to maximise profit while satisfying all operationalconstraints. The MG collaborates in the electricity market. It purchases/sells active and reactive powers from/to the main grid.Furthermore, MACS dynamically corrects the possible voltage violations and eliminates line congestion using the coordinationof reactive power control. Agents at dispatchable DGs and ESS buses tackle the optimal economical operation. Other agentsregulate the nodes voltages and remove line congestions. A parallel computing-based full dynamic simulation model of theMACS and the MG power system is implemented. Moreover, the performance comparisons between the proposed MACS andrecent approaches are presented to evaluate the performance of MACS.
UR - http://www.scopus.com/inward/record.url?scp=85083759518&partnerID=8YFLogxK
U2 - 10.1049/iet-gtd.2019.1284
DO - 10.1049/iet-gtd.2019.1284
M3 - Journal article
AN - SCOPUS:85083759518
SN - 1751-8687
VL - 14
SP - 1726
EP - 1737
JO - IET Generation, Transmission and Distribution
JF - IET Generation, Transmission and Distribution
IS - 9
ER -