Double-Consensus Based Distributed Optimal Energy Management for Multiple Energy Hubs
Autor: | Tian Yi Li, Jianguo Zhou, Bo Nan Huang, Yushuai Li |
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Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
Operation method
Mathematical optimization Consensus energy management Energy management Computer science 020209 energy 02 engineering and technology lcsh:Technology Energy hub energy hub lcsh:Chemistry Convergence (routing) 0202 electrical engineering electronic engineering information engineering Standard test General Materials Science Projection (set theory) Instrumentation lcsh:QH301-705.5 Fluid Flow and Transfer Processes distributed algorithm Distributed algorithm lcsh:T Process Chemistry and Technology General Engineering lcsh:QC1-999 Computer Science Applications Constraint (information theory) lcsh:Biology (General) lcsh:QD1-999 consensus lcsh:TA1-2040 lcsh:Engineering (General). Civil engineering (General) Energy (signal processing) lcsh:Physics |
Zdroj: | Applied Sciences, Vol 8, Iss 9, p 1412 (2018) Applied Sciences Volume 8 Issue 9 Li, Y S, Li, T Y, Zhou, J G & Huang, B N 2018, ' Double-consensus based distributed optimal energy management for multiple energy hubs ', Applied Sciences (Switzerland), vol. 8, no. 9, 1412 . https://doi.org/10.3390/app8091412 |
ISSN: | 2076-3417 |
DOI: | 10.3390/app8091412 |
Popis: | This paper presents a novel distributed double-consensus algorithm to solve the optimal energy management problem for multiple energy hubs interconnected with each other. The objective is achieved by establishing two interactive and paralleled consensus procedures modified by their corresponding feedback terms. Meanwhile, a novel projection operation method is proposed to map the infeasible values into the feasible operating region. The proposed algorithm can effectively handle the coupled variables problem existing in the objective function and constraint limits. Moreover, the optimality and convergence analysis are performed strictly under strong connectivity conditions only. Simulations performed on standard test cases are provided to illustrate the effectiveness of the proposed distributed algorithm. |
Databáze: | OpenAIRE |
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