Application of Distributed Collaborative Optimization in Building Multi-Energy Complementary Energy Systems

Yongchao Zhao, Yang Yang (), Jianmin Zhang, Hugeng Ling and Yawei Du
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Yongchao Zhao: School of Management, China University of Mining & Technology, Beijing 100083, China
Yang Yang: School of Management, China University of Mining & Technology, Beijing 100083, China
Jianmin Zhang: School of Management, China University of Mining & Technology, Beijing 100083, China
Hugeng Ling: Guizhou Environmental Energy Exchange Co., Ltd., Guiyang 550000, China
Yawei Du: Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong 999077, China

Sustainability, 2024, vol. 16, issue 22, 1-20

Abstract: This article investigates the application and physical mechanism exploration of distributed collaborative optimization algorithms in building multi-energy complementary energy systems, in response to the difficulties in coordinating various subsystems and insufficient dynamic control strategies. On the basis of modeling each subsystem, the Dual Decomposition algorithm is used to decompose the global optimization problem of the system into several independent sub problems, achieving independent optimization of each subsystem. Through an adaptive dynamic scheduling strategy, real-time data and predictive information are continuously updated and controlled, effectively allocating system resources. The experimental results show that compared to the original system before optimization, the improved algorithm in this paper reduces the total energy consumption of the system by 6.9% and 2.8% on typical summer and winter days, respectively. The conclusion shows that the algorithm proposed in this paper can effectively solve the problem of system coordination difficulties, improve system resource allocation and overall operation level, and provide a new perspective for the optimization design and operation control of energy systems.

Keywords: multi-energy complementary energy management; building energy; distributed collaborative optimization; dual decomposition; cooperative control (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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