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economicpowerdispatchinsmartgridsaframeworkfordistributedoptimizationandconsensusdynamics
Yu Wenwu1; Li Chaojie2; Yu Xinghuo2; Wen Guanghui1; Lu Jinhu3
2018
Source Publicationsciencechinainformationsciences
ISSN1674-733X
Volume61Issue:1Pages:16
AbstractAbstract By using the distributed consensus theory in multi-agent systems, the strategy of economic power dispatch is studied in a smart grid, where many generation units work cooperatively to achieve an optimal solution in a local area. The relationship between the distributed optimization solution and consensus in multi-agent systems is first revealed in this paper, which can serve as a general framework for future studies of this topic. First, without the constraints of capacity limitations, it is found that the total cost for all the generators in a smart grid can achieve the minimal value if the consensus can be reached for the incremental cost of all the generation units and the balance between the supply and demand of powers is kept. Then, by designing a distributed consensus control protocol in multi-agent systems with appropriate initial conditions, incremental cost consensus can be realized and the balance for the powers can also be satisfied. Furthermore, the difficult problem for distributed optimization of the total cost function with bounded capacity limitations is also discussed. A reformulated barrier function is proposed to simplify the analysis, under which the total cost can reach the minimal value if consensus can be achieved for the modified incremental cost with some appropriate initial values. Thus, the distributed optimization problems for the cost function of all generation units with and without bounded capacity limitations can both be solved by using the idea of consensus in multi-agent systems, whose theoretical analysis is still lacking nowadays. Finally, some simulation examples are given to verify the effectiveness of the results in this paper.
Language英语
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/44669
Collection系统科学研究所
Affiliation1.东南大学
2.墨尔本皇家理工大学
3.中国科学院数学与系统科学研究院
Recommended Citation
GB/T 7714
Yu Wenwu,Li Chaojie,Yu Xinghuo,et al. economicpowerdispatchinsmartgridsaframeworkfordistributedoptimizationandconsensusdynamics[J]. sciencechinainformationsciences,2018,61(1):16.
APA Yu Wenwu,Li Chaojie,Yu Xinghuo,Wen Guanghui,&Lu Jinhu.(2018).economicpowerdispatchinsmartgridsaframeworkfordistributedoptimizationandconsensusdynamics.sciencechinainformationsciences,61(1),16.
MLA Yu Wenwu,et al."economicpowerdispatchinsmartgridsaframeworkfordistributedoptimizationandconsensusdynamics".sciencechinainformationsciences 61.1(2018):16.
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