TY - GEN
T1 - Supervisory Energy Management in Hybrid AC-DC Microgrids Based on a Hybrid Distributed Algorithm
AU - Papari, Behnaz
AU - Cox, Robert
AU - Sockeel, Nicolas
AU - Hoang, Phuong H.
AU - Ozkan, Gokhan
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/3
Y1 - 2020/3
N2 - As awareness of human global footprint grows, solution is investigated to reduce greenhouse gas emission (GHG). To reduce the carbon intensity of electricity production, a large deployment of renewable energy sources (RESs), such as solar panels and wind turbine, has become a mandatory goal. Therefore, more and more microgrids (MGs) appear. In this context, this paper proposes an effective framework for optimal operation management of hybrid AC-DC microgrids (MGs) incorporating both dispatchable and non-dispatchable energy sources as well as battery energy storage system (BESS). The proposed method is constructed based on mixture of an alternating direction method of multipliers (ADMM) and firefly algorithm (FA) as a non-linear optimization algorithm. The performance of the ADMM-MFA is assessed using a typical hybrid AC-DC microgrid. The simulation results show the high efficacy and accuracy of the proposed method in comparison with other well-known methods.
AB - As awareness of human global footprint grows, solution is investigated to reduce greenhouse gas emission (GHG). To reduce the carbon intensity of electricity production, a large deployment of renewable energy sources (RESs), such as solar panels and wind turbine, has become a mandatory goal. Therefore, more and more microgrids (MGs) appear. In this context, this paper proposes an effective framework for optimal operation management of hybrid AC-DC microgrids (MGs) incorporating both dispatchable and non-dispatchable energy sources as well as battery energy storage system (BESS). The proposed method is constructed based on mixture of an alternating direction method of multipliers (ADMM) and firefly algorithm (FA) as a non-linear optimization algorithm. The performance of the ADMM-MFA is assessed using a typical hybrid AC-DC microgrid. The simulation results show the high efficacy and accuracy of the proposed method in comparison with other well-known methods.
KW - Alternating Direction Method of Multipliers
KW - Distributed Control
KW - Hybrid Microgrid
KW - Multi-Agent
KW - Optimization Algorithm
UR - https://www.scopus.com/pages/publications/85089159205
U2 - 10.1109/PSC50246.2020.9131226
DO - 10.1109/PSC50246.2020.9131226
M3 - Conference contribution
AN - SCOPUS:85089159205
T3 - Clemson University Power Systems Conference, PSC 2020
BT - Clemson University Power Systems Conference, PSC 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 Clemson University Power Systems Conference, PSC 2020
Y2 - 10 March 2020 through 13 March 2020
ER -