A Self-Organized Optimal Scheduling Approach for Integrated Energy Systems Using Bottom-Up Modelling
Journal of Building Engineering(2024)SCI 2区
Zhejiang Univ
Abstract
In recent years, decentralized methods have received growing attentions in the field of optimal scheduling of integrated energy systems (IESs) due to their advantages in independent operation and privacy protection. However, the development of decentralized scheduling strategies is usually challenging and time-consuming in practice. To address this problem, this paper proposes a generic self-organized multi-agent-based decentralized scheduling framework for IESs. Four types of base agent models were defined firstly to characterize the individual benefits of various energy entities in IESs. They could construct customized decentralized scheduling models easily. A topology-based fully-decentralized coordination approach was further presented to resolve the conflicts of individual benefits among agents. The coordination rules could be generated in a selforganized manner according to the topological structure of target IESs. Finally, an improved fullydecentralized alternating direction method of multipliers was developed to achieve the fullydecentralized optimization. Simulation results indicate that the generated strategy can reach satisfactory optimization accuracy and computational efficiency. The relative error of optimal results with the benchmark strategy is lower than 0.02 %, and the computational time is reduced by 46.7 % compared with conventional decentralized strategies. This study provides a generic and cost-effective solution to generate customized decentralized scheduling strategies for various types of IESs.
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Key words
Optimal scheduling,Decentralized scheduling,Integrated energy system,Multi-agent system,Distributed optimization,Economic dispatch
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