TY - GEN
T1 - Novel electron drifting algorithm based BESS scheduling in home energy management system
AU - Liao, J. T.
AU - Yang, H. T.
N1 - Funding Information:
This work was supported by the Ministry of Science and Technology, Taiwan, under Grants MOST 105-3113-E-006-007.
Publisher Copyright:
© 2016 IEEE.
PY - 2016/12/21
Y1 - 2016/12/21
N2 - Battery energy storage system (BESS) operation management, including charging/discharging scheduling, is generally a complicated, non-linear optimization problem with constrains. To solve the high-dimension optimization problems, this paper proposes a novel electron drifting algorithm (EDA) to avoid the common disadvantages that most existing optimization algorithms have, such as easy to trap in a local optimal point and sensitive to given initial solutions. All the proposed EDA mainly mimics the features of electron drifting. The solutions having been searched in the past iterations are stored in a database to constitute an electric field. The electrons, which represent solutions, are generated at random location and drift according to the electric field. Benchmark functions are adopted to verify the effectiveness of the proposed EDA before its application to the BESS scheduling problem of a home energy management system (HEMS). The numerical results obtained from the proposed EDA are compared with the existing optimization algorithms to verify the enhanced searching efficiency and capability of the proposed EDA.
AB - Battery energy storage system (BESS) operation management, including charging/discharging scheduling, is generally a complicated, non-linear optimization problem with constrains. To solve the high-dimension optimization problems, this paper proposes a novel electron drifting algorithm (EDA) to avoid the common disadvantages that most existing optimization algorithms have, such as easy to trap in a local optimal point and sensitive to given initial solutions. All the proposed EDA mainly mimics the features of electron drifting. The solutions having been searched in the past iterations are stored in a database to constitute an electric field. The electrons, which represent solutions, are generated at random location and drift according to the electric field. Benchmark functions are adopted to verify the effectiveness of the proposed EDA before its application to the BESS scheduling problem of a home energy management system (HEMS). The numerical results obtained from the proposed EDA are compared with the existing optimization algorithms to verify the enhanced searching efficiency and capability of the proposed EDA.
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U2 - 10.1109/IECON.2016.7793472
DO - 10.1109/IECON.2016.7793472
M3 - Conference contribution
AN - SCOPUS:85010040335
T3 - IECON Proceedings (Industrial Electronics Conference)
SP - 3996
EP - 4001
BT - Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society
PB - IEEE Computer Society
T2 - 42nd Conference of the Industrial Electronics Society, IECON 2016
Y2 - 24 October 2016 through 27 October 2016
ER -