Active Power Oscillation and Suppression Techniques Between Two Parallel Synchronverters During Load Fluctuations

Shuai, Zhikang; Huang, Wen; Shen, Z. John; Luo, An; Tian, Zhen

doi:10.1109/tpel.2019.2933628

Cited by 87 publications

(56 citation statements)

References 31 publications

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“…Moreover, the firstorder power-angle dynamic of the non-inertial controllers allows the GFMI to recover from a fault even when the critical clearing time is exceeded [93], [95]. On the other hand, overshoots and oscillations can be observed in the power angle and the active power transient of inertial GFMIs, e.g., VSGs and synchronverters, under and after voltage sag conditions or load fluctuations [93], [96], [97]. The overshoot in the power angle may exceed the unstable equilibrium point of the GFMI, hence resulting in angle instability after a fault.…”

Section: ) Transient Stabilitymentioning

confidence: 99%

Grid Forming Inverter Modeling, Control, and Applications

et al. 2021

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This paper surveys current literature on modeling methods, control techniques, protection schemes, applications, and real-world implementations pertaining to grid forming inverters (GFMIs). Electric power systems are increasingly being augmented with inverter-based resources (IBRs). While having a growing share of IBRs, conventional synchronous generator-based voltage and frequency control mechanisms are still prevalent in the power industry. Therefore, IBRs are experiencing a growing demand for mimicking the behavior of synchronous generators, which is not possible with conventional grid following inverters (GFLIs). As a solution, the concept of GFMIs is currently emerging, which is drawing increased attention from academia and the industry. This paper presents a comprehensive review of GFMIs covering recent advancements in control technologies, fault ride-through capabilities, stability enhancement measures, and practical implementations. Moreover, the challenges in adding GFMIs into existing power systems, including a seamless transition from grid-connected mode to the standalone mode and vice versa, are also discussed in detail. Recently commissioned projects in Australia, the UK, and the US are taken as examples to highlight the trend in the power industry in adding GFMIs to address issues related to weak grid scenarios. Research directions in terms of voltage control, frequency control, system strength improvement, and regulatory framework are also discussed. This paper serves as a resource for researchers and power system engineers exploring solutions to the emerging problems with high penetration of IBRs, focusing on GFMIs.INDEX TERMS Current control, fault ride-through, grid forming inverters, power synchronization control, small-signal and transient stability, virtual inertia.

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Section: ) Transient Stabilitymentioning

confidence: 99%

Grid Forming Inverter Modeling, Control, and Applications

et al. 2021

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“…Most researchers seem to agree that the future inverters must inherit some features of synchronous generator and their prime movers, such as frequency and voltage droops and inertia, see for instance [1]- [3], [5], [8], [9], [11], [19], [23], [28], [30], [34]. One way to meet this demand are synchronverters, introduced in [35], and further developed in [2], [6], [7], [9], [10], [20], [22], [24], [25], [27]- [29], [31]- [33] and several other references.…”

Section: Introductionmentioning

confidence: 99%

The Sensitivity of Grid-Connected Synchronverters With Respect to Measurement Errors

Kustanovich¹,

Reißner

Shivratri

2021

IEEE Access

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The synchronverter algorithm is a way to control a switched mode power converter that connects a DC energy source to the AC power grid. The main features of this algorithm are frequency and voltage droops as well as synthetic inertia, so that the inverter resembles a synchronous generator (SG). Many versions of this algorithm have been proposed and tested, but all share the same "basic control algorithm", which is based on the equations of a SG. We analyze the sensitivity of the output currents of a synchronverter, with respect to the measurement errors. We show that some of the sensitivity functions exhibit high gains at the relevant frequencies, leading to distorted grid currents, which makes the use of this inverter control algorithm problematic. We then do a similar analysis assuming that we have controlled current sources available at the grid output of the converter, that we control using virtual currents generated in the algorithm. The virtual currents are flowing through virtual output inductors, that we can choose to be significantly larger than the actual output inductors. We show that using the current sources reduces the sensitivity considerably, thus indicating a better approach to synchronverter design.

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“…The adjustment of VSG internal control parameters such as inertia and damping/droop coefficients are investigated in [10,15] to improve system damping performance. However, it is also described that adjusting such parameters have limited impacts on system oscillation damping [17] and smaller inertia constant or larger damping coefficients can even degrade system behavior [6,18,21]. The virtual reactance was introduced to improve the system damping characteristics [22] while it may lead to reactive calculation error [18].…”

Section: Introductionmentioning

confidence: 99%

Coordinated Damping Control Design for Power System With Multiple Virtual Synchronous Generators Based on Prony Method

Zhao

Yin²,

Xue

et al. 2021

IEEE Open J. Power Energy

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With more renewables integrated into power grids, the systems are being transformed into low inertia power electronic dominated systems. In this situation, the virtual synchronous generator (VSG) control strategy was proposed to deal with insufficient inertia challenge caused by the reduction of synchronous generation. However, as the VSG control method emulates the dynamic behavior of traditional synchronous machines, the interaction between multiple VSG controllers and synchronous generators (SGs) may cause low-frequency oscillation similar to that caused by the interaction between multiple SGs. This paper reveals that the system low-frequency oscillatory modes are affected by multiple VSGs. Then Prony analysis is utilized to extract the system mode information which will be subsequently used for VSG controller design, and a decentralized sequential coordinated method is proposed to design the supplementary damping controller (SDC) for multiple VSGs. The system low-frequency oscillation is first analyzed based on a modified two-area system with a linearized state-space model, and a further case study based on a revised New England 10-machine 39-bus system is used to demonstrate the effectiveness of the proposed coordinated method for multiple VSGs.

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Active Power Oscillation and Suppression Techniques Between Two Parallel Synchronverters During Load Fluctuations

Cited by 87 publications

References 31 publications

Grid Forming Inverter Modeling, Control, and Applications

Grid Forming Inverter Modeling, Control, and Applications

The Sensitivity of Grid-Connected Synchronverters With Respect to Measurement Errors

Coordinated Damping Control Design for Power System With Multiple Virtual Synchronous Generators Based on Prony Method

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