Flexible job-shop rescheduling based multi-agent system considering TOU electricity price

Bin Sun; ZhenYu Xia; HaiJuan Ye; XinKang Chen; ShiQi Pan; BinQi Li; HaoMai Sun

doi:10.1117/12.2680476

31 May 2023 Flexible job-shop rescheduling based multi-agent system considering TOU electricity price

Bin Sun, ZhenYu Xia, HaiJuan Ye, XinKang Chen, ShiQi Pan, BinQi Li, HaoMai Sun

Proceedings Volume 12704, Eighth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2023); 127042W (2023) https://doi.org/10.1117/12.2680476
Event: 8th International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE 2023), 2023, Hangzhou, China

Abstract

This paper presents a multi-agent structure and optimization algorithm to enhance energy utilization in a flexible jobshop environment under Time-of-Use (TOU) electricity pricing, in the presence of system changes. The proposed control structure based on multi-agent systems (MAS) takes into account re-scheduling in the workshop under TOU pricing. A multi-objective rescheduling model was developed to minimize due dates, makespan, total power consumption, and energy consumption costs. An improved genetic algorithm (GA) was designed to solve this model by converting the multi-objective into a single objective by optimizing each objective individually and combining the results. Simulation results demonstrate the effectiveness of the proposed algorithm and the application of the MAS structure.

Citation Download Citation

Bin Sun, ZhenYu Xia, HaiJuan Ye, XinKang Chen, ShiQi Pan, BinQi Li, and HaoMai Sun "Flexible job-shop rescheduling based multi-agent system considering TOU electricity price", Proc. SPIE 12704, Eighth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2023), 127042W (31 May 2023); https://doi.org/10.1117/12.2680476

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