Research on energy optimization of building load based on the improved grey wolf optimizer

Zhenshang Wang; Wenjun Tang; Yuming Zhao; Jing Wang; Yi Qin; Guibin Liao

doi:10.1117/12.3011629

7 December 2023 Research on energy optimization of building load based on the improved grey wolf optimizer

Zhenshang Wang, Wenjun Tang, Yuming Zhao, Jing Wang, Yi Qin, Guibin Liao

Proceedings Volume 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023); 129413I (2023) https://doi.org/10.1117/12.3011629
Event: Third International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 203), 2023, Yinchuan, China

Abstract

Optimizing the energy use of adjustable load and improving the reliability and economy of building power supply are the key issues of building power supply system scheduling. Aiming at the problem of load energy optimization of public buildings, this paper proposes a building load energy optimization method based on the improved Grey Wolf Optimizer. Firstly, an optimal scheduling model was established based on the energy supply system of public buildings. Secondly, the teaching factor is introduced into Grey Wolf Optimizer (GWO) to improve its iterative updating mode, and to improve the searching ability of the algorithm. Finally, the improved Grey Wolf Optimizer is used to solve the economic optimization model of public building energy supply system, and the optimal results of day-ahead operation and cost of the public building energy supply system are obtained. Simulation examples show that compared with the particle swarm optimization algorithm and Grey Wolf Optimizer, the improved Grey Wolf Optimizer (IGWO) proposed in this paper has obvious advantages in terms of fast convergence and global optimization, and the proposed method can more effectively reduce the operating cost of the energy supply system of public buildings.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhenshang Wang, Wenjun Tang, Yuming Zhao, Jing Wang, Yi Qin, and Guibin Liao "Research on energy optimization of building load based on the improved grey wolf optimizer", Proc. SPIE 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023), 129413I (7 December 2023); https://doi.org/10.1117/12.3011629

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available