Distributed Power Management for Dynamic Economic Dispatch in the Multimicrogrids Environment Academic Article

abstract

• 1993-2012 IEEE. In the multimicrogrids environment, this brief proposes a distributed power management strategy to minimize a sum of generation costs function subject to generator constraints, which includes the supply-demand balance constraint, the individual constraint, the capacity constraint, and the ramp-rate constraint. First, under the framework of discontinuous dynamical system, a distributed primal-dual consensus algorithm is discussed. Then, using the property of Laplacian matrix, it is proven that the algorithm is any-time, which indicates that supply-demand balance is not disturbed. Based on theory of dynamical system, the proposed algorithm is proven to be stable, and the optimization capabilities of the distributed primal-dual consensus algorithm are also discussed. Finally, case studies based on IEEE 30-bus, IEEE-57 bus, and IEEE 300-bus system show the effectiveness and performance of the proposed distributed primal-dual consensus algorithm.

authors

• Huang, Tingwen

published proceedings

• IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY

altmetric score

• 3

author list (cited authors)

• He, X., Yu, J., Huang, T., & Li, C.

citation count

• 41

complete list of authors

• He, Xing||Yu, Junzhi||Huang, Tingwen||Li, Chaojie

publication date

• July 2019

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE Transactions on Control Systems Technology  Journal

keywords

• Distributed Power Management Strategy
• Dynamical Economic Dispatch (ded)
• Multimicrogrids

Digital Object Identifier (DOI)

• 10.1109/TCST.2018.2816902

start page

• 1651

end page

• 1658

volume

• 27

issue

• 4

URL

• http://dx.doi.org/10.1109/tcst.2018.2816902