2019 IEEE International Conference on Industrial Technology (ICIT) 2019
DOI: 10.1109/icit.2019.8755078
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Distributed coordinated control of multi-agent system for medium and low voltage AC-DC distribution network

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Cited by 3 publications
(3 citation statements)
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“…Consequently, the stability analysis of a nonlinear system is simplified as the stability of a linear time-invariant system, but it also fundamentally depends on the Lyapunov function. The authors of [50] used the TS-LMI method to plot the second-order system's attractive region. The authors of [51] used the TS model to analyze the stability of a DC MG under a multi-constant power load and to investigate the optimal control strategy, ignoring the effect of control parameters on system stability.…”
Section: Large-signal Stability Analysismentioning
confidence: 99%
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“…Consequently, the stability analysis of a nonlinear system is simplified as the stability of a linear time-invariant system, but it also fundamentally depends on the Lyapunov function. The authors of [50] used the TS-LMI method to plot the second-order system's attractive region. The authors of [51] used the TS model to analyze the stability of a DC MG under a multi-constant power load and to investigate the optimal control strategy, ignoring the effect of control parameters on system stability.…”
Section: Large-signal Stability Analysismentioning
confidence: 99%
“…The application research of multi-agent technology [49,50] began in the 1980s and has progressively gained widespread recognition. It has risen to prominence in the field of distributed control.…”
Section: Application Of Consistency Algorithm In DC Mgsmentioning
confidence: 99%
“…The main disadvantage is that testing devices need to be installed, which are easily interfered, and only reflect specific working conditions, but not the parameter changes under different conditions [8]. The third is new methods based on big data AI theory, or special methods, such as innovation graph method [9], fuzzy mathematics [10], combination algorithm [11], minimum information loss method [12] and dynamic parameter identification method for massive data [13]. Reference [14] uses trajectory sensitivity analysis to identify parameters of equivalent model of wind farm, but the method is not suitable for identification of other equipment parameters; Reference [15] uses recursive least squares method to identify VSG parameters, but the accuracy is limited.…”
Section: Introductionmentioning
confidence: 99%