Improved alternating direction method of multipliers for solving optimal chiller loading problem in swarm intelligent control system

被引：0

作者：

Yu J.-Q. ^{[1
]}

Chen S.-Y. ^{[1
]}

Zhao A.-J. ^{[1
]}

Feng Z.-X. ^{[1
]}

Gao Z.-K. ^{[2
]}

机构：

[1] School of Building Services Science and Engineering, Xi'an University of Architecture and Technology, Xi'an

[2] School of Information and Control Engineering, Xi'an University of Architecture and Technology, Xi'an

来源：

Kongzhi Lilun Yu Yingyong/Control Theory and Applications | 2021年 / 38卷 / 07期

关键词：

Air-conditioning system; Alternating direction method of multipliers; Distributed optimization; Multi-chiller systems; Optimal chiller loading; Swarm intelligent;

D O I：

10.7641/CTA.2021.00625

中图分类号：

学科分类号：

摘要：

As a multi-block optimization problem, the optimal chiller loading (OCL) in the swarm intelligent control system is difficult to obtain a convergent solution by using the conventional distributed algorithm. To solve this problem, an improved alternating direction multiplier method (ADMM) was used in this article. In the method, the convergence characteristic was improved by an effective Gaussian penalty function (GPF) update strategy. An optimal chiller loading model based on ADMM-GPF-GBS double-layer distributed computing framework was established, and the global optimal solution can be obtained by parallel computing only by using the information transmission between adjacent nodes. The effectiveness of the proposed optimization method was compared and analyzed by two numerical examples, and the algorithm was further applied and verified in the actual hardware system. The results indicate that ADMM-GPF-GBS is suitable for the central air conditioning multi-chiller systems under the swarm intelligent control framework and has excellent optimization ability with good convergence. The energy-saving effect is remarkable. © 2021, Editorial Department of Control Theory & Applications South China University of Technology. All right reserved.

引用

页码：947 / 962

页数：15

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