TY - GEN
T1 - A comprehensive MPC based energy management framework for isolated microgrids
AU - Zhang, Yan
AU - Meng, Fanlin
AU - Wang, Rui
N1 - Funding Information:
ACKNOWLEDGMENT This research was financially supported by the National Natural Science Foundation of China (61403404) and the Outstanding Natural Science Foundation of Hunan Province (2017JJ1001). The second author would like to thank Durham Energy Institute for the DEI Small Grant funding.
Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/1
Y1 - 2017/7/1
N2 - Isolated regions and remote islands are facing problems such as imported fossil-fuel dependency, increasing electricity prices, and low electricity quality. Isolated microgrids technologies which integrate large scale of renewable energy resources, energy storages, flexible loads, traditional fossil-fuel generators and advanced electric electrical devices have been seen as the answer the above problems. In addition, a closed-loop based energy management operation framework is needed to accommodate the fluctuated renewable energy generation with a comprehensive energy management optimization strategy considering integer variables/discrete constraints and complex operation constraints in generators and energy storage models. To this end, this paper proposed a model predictive control (MPC) based energy management and operation framework for isolated microgrids where the optimal energy management for the microgrid is formulated as a mixed integer quadratic programming problem (MIQP). Numerical results demonstrate the effectiveness of our approach.
AB - Isolated regions and remote islands are facing problems such as imported fossil-fuel dependency, increasing electricity prices, and low electricity quality. Isolated microgrids technologies which integrate large scale of renewable energy resources, energy storages, flexible loads, traditional fossil-fuel generators and advanced electric electrical devices have been seen as the answer the above problems. In addition, a closed-loop based energy management operation framework is needed to accommodate the fluctuated renewable energy generation with a comprehensive energy management optimization strategy considering integer variables/discrete constraints and complex operation constraints in generators and energy storage models. To this end, this paper proposed a model predictive control (MPC) based energy management and operation framework for isolated microgrids where the optimal energy management for the microgrid is formulated as a mixed integer quadratic programming problem (MIQP). Numerical results demonstrate the effectiveness of our approach.
KW - Isolated microgrids
KW - Model predictive control
KW - Renewable energy
UR - http://www.scopus.com/inward/record.url?scp=85046257024&partnerID=8YFLogxK
U2 - 10.1109/ISGTEurope.2017.8260240
DO - 10.1109/ISGTEurope.2017.8260240
M3 - Conference contribution
AN - SCOPUS:85046257024
T3 - 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2017 - Proceedings
SP - 1
EP - 6
BT - 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2017 - Proceedings
PB - IEEE
T2 - 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2017
Y2 - 26 September 2017 through 29 September 2017
ER -
