A Simplified Equivalent Model for the Analysis of Low-Frequency Stability of Multi-Bus DC Microgrids

Rashidirad, Nasim; Hamzeh, Mohsen; Sheshyekani, Keyhan; Afjei, E.

doi:10.1109/tsg.2017.2705194

Cited by 54 publications

(22 citation statements)

References 26 publications

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“…Voltage stability has drawn increased attentions in DC systems due to the high penetration of power electronic converters [26][27]. The virtual capacitance can improve the voltage quality of DC grids by suppressing voltage mutation rate.…”

Section: Stability Analysis Of the Proposed Adc Strategymentioning

confidence: 99%

“…Taking Vdc, φ and θ as state variables, (23), (25) and (26) can be linearized as (27) where matrixes YE and Yy are given in Appendix. According to (22) and (27), the linearized small-signal model of the DC grid is given as…”

Section: ) Modelling Of the DC Gridmentioning

confidence: 99%

“…For low frequency disturbances, some recent studies have shown that droop controlled converters may affect low-frequency stability of DC grids [27]. However, the virtual capacitance cannot be set too large considering the system stability.…”

Section: B Small-signal Stability Analysismentioning

confidence: 99%

“…Some modified droop controllers have been presented recently to further enhance the voltage quality and stability of DC grids [22][23][24][25][26][27]. In [22], an improved decentralized DC power management strategy based on P-Vdc 2 droop is designed to enhance the dynamics of DC power regulation.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Adjustable Inertial Response From the Converter With Adaptive Droop Control in DC Grids

Wáng

Wang

et al. 2019

IEEE Trans. Smart Grid

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Section: Stability Analysis Of the Proposed Adc Strategymentioning

confidence: 99%

Section: ) Modelling Of the DC Gridmentioning

confidence: 99%

Section: B Small-signal Stability Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Adjustable Inertial Response From the Converter With Adaptive Droop Control in DC Grids

Wáng

Wang

et al. 2019

IEEE Trans. Smart Grid

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show abstract

“…Integration of renewable energy resources into power grid, 1,2 has led to the microgrid development for more accurate regulation of both AC and DC state variables 3‐5 . Among microgrid configurations, the hybrid DC/AC microgrid has attracted high attentions from prospective control system design in recent years 6‐9 .…”

Section: Introductionmentioning

confidence: 99%

Lypunov theory combined with small signal linearization for regulated operation of a hybridDC/ACmicrogrid

Souraki

Radmehr

Rezanejad

2020

Int Trans Electr Energ Syst

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Summary This paper proposes a new control strategy for enforcing a AC‐DC hybrid microgrid to attain stable responses in both steady state and dynamic operating conditions. The proposed controller is designed based on combining direct Lyapunov method and small signal linearization (SSL). The dynamic parts of converter control functions are achieved through providing the global asymptotical stability of the hybrid microgrid by using its total saved energy function. Then, the steady‐state components of the controller, unlike other existing Lyapunov‐based methods, are obtained according to SSL‐based mathematical terms as the main novelty of this paper. This novelty simultaneously provides several contributions within the proposed control technique structure as (a) the direct control of the PCC voltage frequency and DC‐link voltage errors, (b) the enhanced decoupling feature for DC/AC converter current, and (c) the direct control of the input voltage error for bidirectional DC/DC converter. Finally, comparative simulation results in MATLAB/Simulink software are presented to verify the superiority of proposed controller combined with SSL under AC and DC load variations, discharging/charging of storage unit, different grid power factors and AC loads shared among grid side and DC sources.

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The islanded micro‐grid large signal stability analysis based on neuro‐fuzzy model

Ahmadi

Kazemi

2020

Int Trans Electr Energ Syst

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Summary The study and identification of stability condition in an islanded micro‐grid are critical due to the lack of generation resources and load changes. On the other hand, the output power of the renewable units and the load level in a micro‐grid are uncertain and the system does not have a dominant operating point. Therefore, small signal analysis methods results have small validity range and cannot be generalized to the whole system. Therefore, a Lyapunov function (LF) based large signal stability method is proposed in this article to address the problem of small signal methods. Also, a Neuro‐Fuzzy system is proposed to consider uncertainties and network modeling. In this study, the Takagi‐Sugeno (T‐S) fuzzy system is used. Artificial neural network is also applied to provide an optimal tool for identifying system uncertainties, while T‐S rules are used to provide a framework of previous knowledge of the system. The main purpose is to propose an identification and modeling process to study the stability condition and boundaries in an islanded micro‐grid. After the uncertain system is modeled, the system LF is calculated using Linear Matrix Inequality and the system domain of attraction is determined.

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A Simplified Equivalent Model for the Analysis of Low-Frequency Stability of Multi-Bus DC Microgrids

Cited by 54 publications

References 26 publications

Adjustable Inertial Response From the Converter With Adaptive Droop Control in DC Grids

Adjustable Inertial Response From the Converter With Adaptive Droop Control in DC Grids

Lypunov theory combined with small signal linearization for regulated operation of a hybridDC/ACmicrogrid

The islanded micro‐grid large signal stability analysis based on neuro‐fuzzy model

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