A Dynamic Diffusion Algorithm for Distributed Secondary Control of DC Microgrids

Liao, Dawei; Gao, Fei; Zhao, Yutong; Rogers, Daniel

doi:10.1109/ecce44975.2020.9235782

Cited by 7 publications

(3 citation statements)

References 15 publications

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“…A diffusion algorithm was originally proposed for adaptive networks which consist of a collection of agents to solve an optimization problem in a distributed fashion [38]. In previous studies, the diffusion and its variants, EDA and DDA, are adopted in tertiary and secondary control layers [30], [33]. But the relation between them has not been mentioned yet.…”

Section: Derivation Of Dda and Its Superiority To Traditional Consens...mentioning

confidence: 99%

“…In addition, the network graph should be strongly connected, which means that there exists at least one path between any two nodes and at least one diagonal entry of A is non-zero. For the convenience of comparison, following the rules in [33] and [42], Metropolis rule [26] is adopted in this paper:…”

Section: B Derivation Of Ddamentioning

confidence: 99%

“…Reference [32] implements a secondary controller using a diffusion algorithm in an AC MG, of which the stability is analyzed via a continuous-time small-signal model. Reference [33] proposes a dynamic diffusion algorithm (DDA) based secondary control scheme in a single-bus DC MG, which requires the estimation of line impedances. In addition, the relation among different diffusion algorithms is not revealed in the aforementioned studies.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Distributed Secondary Control Based on Dynamic Diffusion Algorithm for Current Sharing and Average Voltage Regulation in DC Microgrids

Liao,

Gao,

J. Rogers

et al. 2024

Journal of Modern Power Systems and Clean Energy

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This paper introduces a distributed secondary control scheme for achieving current sharing and average voltage regulation objectives in a DC microgrid. The proposed scheme employs a dynamic diffusion algorithm (DDA) instead of the consensus algorithm to enable distributed communication among converters. To help understand DDA, the relation of DDA and other diffusion algorithms is discussed in detail and its superiority is shown by comparison with diffusion and consensus algorithms. Furthermore, considering the discrete nature and different sampling time of the digital controller and communication network, a z-domain model of the entire DC microgrid is established. The influence of communication and secondary control parameters on the system stability is investigated. Based on the established model, the tolerable communication rates are obtained. Real-time simulations conducted on the OPAL-RT platform validate the effectiveness of the proposed scheme, showcasing its advantages in terms of convergence speed and stability.

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Section: Derivation Of Dda and Its Superiority To Traditional Consens...mentioning

confidence: 99%