New Perspectives on Droop Control in AC Microgrid

Sun, Yang; Hou, Xiaochao; Yang, Jian; Han, Hua; Su, Mei; Guerrero, Josep M.

doi:10.1109/tie.2017.2677328

Cited by 241 publications

(154 citation statements)

References 12 publications

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“…< a i ≤ 1 and the control parameters are chosen according to Formulas (12), (15), (18), (39), (42) and (45), the system robustness can be guaranteed.…”

Section: Control Gain β Gi Will Increase Until βmentioning

confidence: 99%

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Adaptive Higher-Order Sliding Mode Control for Islanding and Grid-Connected Operation of a Microgrid

Han

Cui

2018

Energies

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Grid-connected and islanding operations of a microgrid are often influenced by system uncertainties, such as load parameter variations and unmodeled dynamics. This paper proposes a novel adaptive higher-order sliding mode (AHOSM) control strategy to enhance system robustness and handle an unknown uncertainty upper bounds problem. Firstly, microgrid models with uncertainties are established under islanding and grid-connected modes. Then, adaptive third-order sliding mode and adaptive second-order sliding mode control schemes are respectively designed for the two modes. Microgrid models' descriptions are divided into nominal part and uncertain part, and higher-order sliding mode (HOSM) control problems are transformed into finite time stability problems. Again, a scheduled law is proposed to increase or decrease sliding mode control gain adaptively. Real higher-order sliding modes are established, and finite time stability is proven based on the Lyapunov method. In order to achieve smooth mode transformation, an islanding mode detection algorithm is also adopted. The proposed control strategy accomplishes voltage control and current control of islanding mode and grid-connected mode. Control voltages are continuous, and uncertainty upper bounds are not required. Furthermore, adjustable control gain can further whittle control chattering. Simulation experiments verify the validity and robustness of the proposed control scheme.

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“…< a i ≤ 1 and the control parameters are chosen according to Formulas (12), (15), (18), (39), (42) and (45), the system robustness can be guaranteed.…”

Section: Control Gain β Gi Will Increase Until βmentioning

confidence: 99%

“…Many control methods are applied in the microgrid operation [10]. Droop control is a common voltage control method under islanding mode [11,12]. However, conventional droop control has some drawbacks, such as slow transient response and high dependence of filter impedance [13].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Higher-Order Sliding Mode Control for Islanding and Grid-Connected Operation of a Microgrid

Han

Cui

2018

Energies

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“…The inductive property of lines is virtually increased using the virtual impedance, and this, in turn, largely weakens the coupling of active and reactive powers. Although virtual impedance improves the performance of droop control, it is not able to suppress circulating current . The idea of adaptive virtual impedance was put forward to improve conventional virtual impedance strategy .…”

Section: Introductionmentioning

confidence: 99%

Modified droop control for improving adaptive virtual impedance strategy for parallel distributed generation units in islanded microgrids

Sabzevari

Karimi

Khosravi

et al. 2018

Int Trans Electr Energ Syst

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Summary This paper proposes a control strategy to improve adaptive virtual impedance performance. The proposed method compensates voltage drop across the output impedances of distributed generation (DG) units, intensified due to the use of virtual impedance, and regulates the voltage of busses feeding microgrid‐connected loads in a desired level. In addition, it preserves the advantages of adaptive virtual impedance strategy, including proper active and reactive power sharing and decreased circulating current among parallel DGs. To compensate voltage drop proportional to load variation, the reference voltage used in the droop control strategy is adaptively regulated. To evaluate the performance and efficacy of the proposed control strategy, it was implemented on an islanded microgrid with two DGs. Simulation results show that the proposed strategy makes a compromise between control objectives, including appropriate power sharing, compensation of voltage drop, and reduction of circulating current.

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“…In this scenario, microgrids are fundamental components to the modern power system aiming at the wide expansion of distributed generation (DG) . Microgrids can be classified in two categories regarding the operating mode: alternating current (ac) and direct current (dc), while both of them are able to operate in grid‐connected or standalone mode …”

Section: Introdutionmentioning

confidence: 99%

Analysis of a static model for DC microgrids based on droop and MPPT control

Gomes

Campos

Lopes

et al. 2018

Int Trans Electr Energ Syst

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Summary Dc microgrids are feasible and effective solutions for integrating renewable energy resources to the power system. However, the operation around an equilibrium point depends on the control strategy adopted for each operation mode. When operating in off‐grid mode, droop and maximum power point control are basic strategies employed to regulate the voltage across the dc link considering the lack of communication between the sources. In this context, this work describes some important issues regarding the application of such approaches in microgrids, where active and nonlinear loads such as constant‐power loads and constant‐impedance loads exist. In this case, the power sources are considered as a set of parallel‐connected current sources associated with their respective equivalent resistances. The proposed approximate model allows performing a nonlinear analysis to predict the qualitative behavior of the system due to the reduced number of differential equations. In addition, this analysis provides sufficient conditions to determine the operating points of the system, thus providing reliable design guidelines for the implementation of microgrids.

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New Perspectives on Droop Control in AC Microgrid

Cited by 241 publications

References 12 publications

Adaptive Higher-Order Sliding Mode Control for Islanding and Grid-Connected Operation of a Microgrid

Adaptive Higher-Order Sliding Mode Control for Islanding and Grid-Connected Operation of a Microgrid

Modified droop control for improving adaptive virtual impedance strategy for parallel distributed generation units in islanded microgrids

Analysis of a static model for DC microgrids based on droop and MPPT control

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