Optimal Control of Hybrid Pressure Retarded Osmosis and Photovoltaic Thermal System

Yingxue Chen; Guanxiang Feng; Shengzhao Pang; Linfeng Gou

doi:10.1109/ICIEA61579.2024.10665148

Optimal Control of Hybrid Pressure Retarded Osmosis and Photovoltaic Thermal System

Yingxue Chen
, Guanxiang Feng
, Shengzhao Pang
, Linfeng Gou

School of Power and Energy

Northwestern Polytechnical University Xian

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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.

Original language	English
Title of host publication	2024 IEEE 19th Conference on Industrial Electronics and Applications, ICIEA 2024
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350360868
DOIs	https://doi.org/10.1109/ICIEA61579.2024.10665148
State	Published - 2024
Event	19th IEEE Conference on Industrial Electronics and Applications, ICIEA 2024 - Kristiansand, Norway Duration: 5 Aug 2024 → 8 Aug 2024

Publication series

Name	2024 IEEE 19th Conference on Industrial Electronics and Applications, ICIEA 2024

Conference

Conference	19th IEEE Conference on Industrial Electronics and Applications, ICIEA 2024
Country/Territory	Norway
City	Kristiansand
Period	5/08/24 → 8/08/24

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Hybrid energy system
improved honey badger algorithm
maximum power point tracking

Access to Document

10.1109/ICIEA61579.2024.10665148

Cite this

Chen, Y., Feng, G., Pang, S., & Gou, L. (2024). Optimal Control of Hybrid Pressure Retarded Osmosis and Photovoltaic Thermal System. In 2024 IEEE 19th Conference on Industrial Electronics and Applications, ICIEA 2024 (2024 IEEE 19th Conference on Industrial Electronics and Applications, ICIEA 2024). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIEA61579.2024.10665148

Chen, Yingxue ; Feng, Guanxiang ; Pang, Shengzhao et al. / Optimal Control of Hybrid Pressure Retarded Osmosis and Photovoltaic Thermal System. 2024 IEEE 19th Conference on Industrial Electronics and Applications, ICIEA 2024. Institute of Electrical and Electronics Engineers Inc., 2024. (2024 IEEE 19th Conference on Industrial Electronics and Applications, ICIEA 2024).

@inproceedings{1d9cd6277ffb450eaddfbaf15cba9754,

title = "Optimal Control of Hybrid Pressure Retarded Osmosis and Photovoltaic Thermal System",

abstract = "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.",

keywords = "Hybrid energy system, improved honey badger algorithm, maximum power point tracking",

author = "Yingxue Chen and Guanxiang Feng and Shengzhao Pang and Linfeng Gou",

note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 19th IEEE Conference on Industrial Electronics and Applications, ICIEA 2024 ; Conference date: 05-08-2024 Through 08-08-2024",

year = "2024",

doi = "10.1109/ICIEA61579.2024.10665148",

language = "英语",

series = "2024 IEEE 19th Conference on Industrial Electronics and Applications, ICIEA 2024",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2024 IEEE 19th Conference on Industrial Electronics and Applications, ICIEA 2024",

}

Chen, Y, Feng, G, Pang, S & Gou, L 2024, Optimal Control of Hybrid Pressure Retarded Osmosis and Photovoltaic Thermal System. in 2024 IEEE 19th Conference on Industrial Electronics and Applications, ICIEA 2024. 2024 IEEE 19th Conference on Industrial Electronics and Applications, ICIEA 2024, Institute of Electrical and Electronics Engineers Inc., 19th IEEE Conference on Industrial Electronics and Applications, ICIEA 2024, Kristiansand, Norway, 5/08/24. https://doi.org/10.1109/ICIEA61579.2024.10665148

Optimal Control of Hybrid Pressure Retarded Osmosis and Photovoltaic Thermal System. / Chen, Yingxue; Feng, Guanxiang; Pang, Shengzhao et al.
2024 IEEE 19th Conference on Industrial Electronics and Applications, ICIEA 2024. Institute of Electrical and Electronics Engineers Inc., 2024. (2024 IEEE 19th Conference on Industrial Electronics and Applications, ICIEA 2024).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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

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 - https://www.scopus.com/pages/publications/85205709501

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 -

Chen Y, Feng G, Pang S, Gou L. Optimal Control of Hybrid Pressure Retarded Osmosis and Photovoltaic Thermal System. In 2024 IEEE 19th Conference on Industrial Electronics and Applications, ICIEA 2024. Institute of Electrical and Electronics Engineers Inc. 2024. (2024 IEEE 19th Conference on Industrial Electronics and Applications, ICIEA 2024). doi: 10.1109/ICIEA61579.2024.10665148

Optimal Control of Hybrid Pressure Retarded Osmosis and Photovoltaic Thermal System

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this