TY - GEN
T1 - Optimal Control of Hybrid Pressure Retarded Osmosis and Photovoltaic Thermal System
AU - Chen, Yingxue
AU - Feng, Guanxiang
AU - Pang, Shengzhao
AU - Gou, Linfeng
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Due to the development of various renewable energy sources, hybrid energy systems have gradually become an important part of the power grid. Energy coordination management of hybrid energy systems has been studied for resource scheduling, while optimal control of hybrid systems still has room for improvement. Therefore, an improved honey badger algorithm (IHBA) is proposed to perform optimal control of hybrid pressure retarded osmosis (PRO) and photovoltaic thermal (PV/T) systems to maintain the maximum power output under variable operating environments. From the case study of hybrid energy systems, IHBA achieves a maximum power with a value of 1541.30W an increase of 5.34% compared to the incremental conductance (INC). IHBA exhibits good global optimization capabilities and robustness compared with other smart and traditional methods, which proves the superiority of the proposed IHBA.
AB - Due to the development of various renewable energy sources, hybrid energy systems have gradually become an important part of the power grid. Energy coordination management of hybrid energy systems has been studied for resource scheduling, while optimal control of hybrid systems still has room for improvement. Therefore, an improved honey badger algorithm (IHBA) is proposed to perform optimal control of hybrid pressure retarded osmosis (PRO) and photovoltaic thermal (PV/T) systems to maintain the maximum power output under variable operating environments. From the case study of hybrid energy systems, IHBA achieves a maximum power with a value of 1541.30W an increase of 5.34% compared to the incremental conductance (INC). IHBA exhibits good global optimization capabilities and robustness compared with other smart and traditional methods, which proves the superiority of the proposed IHBA.
KW - Hybrid energy system
KW - improved honey badger algorithm
KW - maximum power point tracking
UR - http://www.scopus.com/inward/record.url?scp=85205709501&partnerID=8YFLogxK
U2 - 10.1109/ICIEA61579.2024.10665148
DO - 10.1109/ICIEA61579.2024.10665148
M3 - 会议稿件
AN - SCOPUS:85205709501
T3 - 2024 IEEE 19th Conference on Industrial Electronics and Applications, ICIEA 2024
BT - 2024 IEEE 19th Conference on Industrial Electronics and Applications, ICIEA 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 19th IEEE Conference on Industrial Electronics and Applications, ICIEA 2024
Y2 - 5 August 2024 through 8 August 2024
ER -
