A Novel Droop Control Strategy of Reactive Power Sharing Based on Adaptive Virtual Impedance in Microgrids

Fan, Bo; Li, Qikai; Wang, Wen; Yao, Ganzhou; Ma, Haihang; Zeng, Xiang Jun; Guerrero, Josep M.

doi:10.1109/tie.2021.3123660

Cited by 55 publications

(14 citation statements)

References 33 publications

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“…These lines play crucial roles in determining how the inverter responds to load disturbances since they are coupled with other inverters in the distributed grid. As shown in (19) and (20), they provide the state equation for the distribution line. Both the subscript "i" and the subscript "j" belong to distributed energy resources (DER1) (PV) & DER2 (Wind).…”

Section: State Space Model Of Droop-controlled Islanded Microgridmentioning

confidence: 99%

“…Reactive power-sharing in parallel inverters is developed using the novel droop controller called the adaptive virtual impedance controller. Optimal control parameters are obtained using the  ISSN: 2088-8694 small signal stability analysis of the parallel inverters using the adaptive controller [20]. A photovoltaic (PV) inverter with a non-renewable energy-based generator when connected in the islanded mode without energy storage need to regulate the maximum power generated from the PV inverter.…”

Section: Introductionmentioning

confidence: 99%

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Steady state stability assessment of voltage source converter in a DC microgrid under weak grid conditions

Viswanathan,

Jayaramaiah

2024

IJPEDS

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Traditionally, steady-state assessment involves analyzing numerous variables using Eigen analysis. This paper presents a decision support application for diagnosing the steady-state assessment of droop-controlled voltage source inverters in islanded microgrid operations or weak grid operations with reduced input attributes. This paper proposes an approach using feature extraction from the state space variables of the droop-controlled voltage source inverter (VSI). Photovoltaic (PV) and wind energy sources are considered with their stipulated power-delivering capability considered. To improve the generalization of the predictive model, preprocessing techniques are employed to eliminate data distortions. Dimensionality reduction is achieved through principal component analysis (PCA) applied to the steady-state variables. The evaluation of the VSI's steady-state stability is conducted utilizing support vector classification algorithm. To ascertain the reliability of the steady-state stability classification, an assessment of the support vector machine (SVM) model's performance is carried out, which includes the examination of metrics like the area under the curve (AUC) and the receiver operating characteristics (ROC) curve. The findings from the assessment of VSI's steady-state stability indicate a commendable level of performance, achieving an accuracy rate of 93.5%.

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Section: State Space Model Of Droop-controlled Islanded Microgridmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Steady state stability assessment of voltage source converter in a DC microgrid under weak grid conditions

Viswanathan,

Jayaramaiah

2024

IJPEDS

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“…Among common control methods for microgrids, distributed algorithms, which meet the distributed structure of DERs, have gained increasing attention [8–10]. Researches have been carried out to study the application of distributed control in the primary and secondary frequency/voltage control [11, 12], active/reactive power sharing [13, 14] and economic dispatch [15, 16] of DERs in microgrids. Here, we focus on distributed secondary frequency control strategies.…”

Section: Introductionmentioning

confidence: 99%

Distributed secondary optimal control for self‐maintaining microgrids on pelagic islands

Deng,

Chen,

Zhang

et al. 2023

IET Renewable Power Gen

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Considering the geographic distance, self‐maintaining microgrids are widely built to supply power on pelagic islands, where developing distributed autonomous control strategies while guaranteeing microgrids’ resilience and energy security have gained increasing attention. However, most existing distributed control strategies restore frequencies in an asymptotic manner, which may not meet the requirement for safe and rapid recovery after disasters. Meanwhile, self‐maintaining microgrids have relatively low percentages of fossil fuels. Power sharing among distributed energy sources (DERs) under most existing control relies on the droop coefficients, which may lead to inefficient operations. To overcome these challenges, this paper proposed a distributed control strategy for self‐maintaining microgrids. The frequency restoration time can be explicitly optimized and is robust to changes of system states, which provides faster recovery performance under disasters. The steady‐state powers of different DERs are regulated for different kinds of DERs separately and are independent of the droop coefficients, where the proper use of renewable energy under energy security can be achieved. The proposed control enhances the resilience of microgrids against disasters and meets the requirement of energy security on islands. The algorithms in the paper are verified by both simulation and experiment studies under various conditions.

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“…Down-scale solar arrays, battery banks, converters, transformers, and loads are actually constructed to demonstrate the experiments under both the grid-connected mode and islanding mode of the microgrid [19]. In addition, multiple converters adopting droop controls have been built for the control tests in the microgrids [20][21][22]. However, these dynamic simulation systems have several drawbacks: 1.…”

Section: Introductionmentioning

confidence: 99%

Flexible and Low-Cost Emulation of Control Behaviors for Testing and Teaching of AC Microgrid

Wang

Liu

2023

Energies

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The fast development of distributed generations enables the microgrid a popular solution for the construction of the modern power grid, where the control behaviors of power electronics converters play a crucial role. Under this scenario, the emulation of microgrid control behaviors is becoming an emerging need for the testing and teaching of the AC microgrid. However, conventional approaches, such as the dynamic simulation test and the Power-Hardware-In-Loop, are still costly or bulky to flexibly recreate the correct characteristics of microgrid including different layers of controls and the interactions among multiple converters. The dynamic simulation test is bulky and costly to emulate various types of control behaviors since all physical components in the test system may need to be adjusted. The high cost of Power-Hardware-In-Loop is mainly caused by the high-performance real-time simulator and power amplifier. In this paper, a novel emulation system is proposed for the testing of the AC microgrid. A low-cost circuit configuration, which includes two face-to-face connected DC–AC converters and some passive loads, is introduced with the possibility of flexibly emulating most of the typical control schemes in an AC microgrid. In addition, a user interface for the real-time operation and measurement of the hardware platform is introduced on a host computer to further facilitate the testing process. Finally, various control schemes in microgrids, including the voltage control, current control, droop control, and secondary control, are validated in the experiment setup based on the proposed emulation approach.

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A Novel Droop Control Strategy of Reactive Power Sharing Based on Adaptive Virtual Impedance in Microgrids

Cited by 55 publications

References 33 publications

Steady state stability assessment of voltage source converter in a DC microgrid under weak grid conditions

Steady state stability assessment of voltage source converter in a DC microgrid under weak grid conditions

Distributed secondary optimal control for self‐maintaining microgrids on pelagic islands

Flexible and Low-Cost Emulation of Control Behaviors for Testing and Teaching of AC Microgrid

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