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    王东

    • 教授     博士生导师   硕士生导师
    • 性别:男
    • 毕业院校:大连理工大学
    • 学位:博士
    • 所在单位:控制科学与工程学院
    • 学科:控制理论与控制工程. 模式识别与智能系统. 导航、制导与控制
    • 办公地点:控制科学与工程学院海山楼A628
    • 联系方式:dwang[@]dlut.edu.cn

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    Distributed Extremum Seeking for Optimal Resource Allocation and Its Application to Economic Dispatch in Smart Grids

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    论文类型:期刊论文

    发表时间:2019-10-01

    发表刊物:IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS

    收录刊物:SCIE

    卷号:30

    期号:10

    页面范围:3161-3171

    ISSN号:2162-237X

    关键字:Distributed optimization; economic dispatch; extremum-seeking; multiagent system; resource allocation

    摘要:This paper proposes a first-order extremum-seeking algorithm to solve the resource allocation problem, where the specific expression form and gradient information of the local cost functions are not required. Agents take advantage of measurements of local cost functions to minimize the sum of their cost functions while satisfying the resource constraint, where agents exchange the estimated decisions with their neighbors under an undirected and connected graph. Making use of the Lyapunov stability theory and the average analysis method, the convergence of the proposed algorithm to the neighborhood of the optimal solution is presented. In addition, it is obtained that the designed algorithm is semiglobally practically asymptotically stable. Then, the first-order algorithm is extended to the second-order algorithm with low-pass filters, which achieves better convergence performance than the first-order algorithm. Finally, the effectiveness of the proposed algorithm is illustrated by numerical examples and its application to economic dispatch in smart grids.