Autonomous Model Predictive Controlled Smart Inverter With Proactive Grid Fault Ride-Through Capability

Easley, Mitchell; Jain, Sarthak; Shadmand, Mohammad B.; Abu‐Rub, Haitham

doi:10.1109/tec.2020.2998501

Cited by 25 publications

(18 citation statements)

References 28 publications

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“…An important characteristic of a microgrid is the ability to seamlessly transition between grid-tied and islanded modes [40]. Ties to the utility grid are useful in default operation when the smaller network can import or export power as needed.…”

Section: Network Of Microgridsmentioning

confidence: 99%

Rank-Based Predictive Control for Community Microgrids With Dynamic Topology and Multiple Points of Common Coupling

Nun

Umar

Karaki

et al. 2022

IEEE J. Emerg. Sel. Top. Ind. Electron.

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The devastating effects of climate change paired with increasing geopolitical tensions and rising energy needs have prompted the development and incorporation of renewable energy technologies with the bulk power system in recent decades. Rapid advancements in technologies such as solar photovoltaics (PV) and wind harvesting devices have led to the proliferation of distributed energy resources at the distribution level. Decreasing costs of renewable energy systems and the ever-present dangers of climate change facilitate an increase in the saturation of these resources at the grid edge. However, a high penetration of intermittent energy generation dependent on solar irradiance and wind speed, as well as limited storage availability, creates challenges of grid resiliency and stability. A potential solution to overcome the aforementioned operational challenges is to realize hierarchical grid clusters with flexible boundaries towards resilient operation of future power grids. These hierarchical grid clusters, forming the entire grid, are also known as a grid of microgrids or grid of nanogrids. Hierarchical clusters of distributed energy resources (DERs) forming a grid of microgrids can share power more efficiently. A microgrid can operate in grid-connected or islanded modes which provide resiliency by supplying local loads within the microgrid boundary during natural disasters or other anomalies in power grid. The flexible boundaries of these microgrids requires multiple points of common coupling (MPCC) with adjacent microgrids and the rest of the power network which makes their synchronization challenging. Thus, in a power grid comprising a network of microgrids and MPCC, control and synchronization of voltage source converters (VSCs) is paramount to ensure optimal performance without jeopardizing network stability.This thesis presents a rank-based model predictive controller (MPC) for VSCs operating in a community microgrid with dynamically changing topology representing the flexible boundary of the microgrid. The proposed framework enables a fully synchronized microgrid with the ability to connect multiple distributed VSC buses to a utility grid simultaneously through MPCC. In addition, the control scheme offers redundancy to grid-forming sources when islanded, attaining a higher margin of resiliency, robustness, and flexibility. The MPC framework features an adaptive ranking system that assigns operational modes to the VSCs, i.e. voltage control (grid-forming) or current control (grid-following), and defines leader-follower directionality for synchronization. Communication among VSCs is achieved using a topologymirroring communication layer. The presented framework enables transformative microgrid topologies based on the adaptive operation of distributed VSC controllers towards resilient power grids with high penetration of renewables. v

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Section: Network Of Microgridsmentioning

confidence: 99%

Rank-Based Predictive Control for Community Microgrids With Dynamic Topology and Multiple Points of Common Coupling

Nun

Umar

Karaki

et al. 2022

IEEE J. Emerg. Sel. Top. Ind. Electron.

Self Cite

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“…Therefore, the controller performances is strongly dependent on the completeness of current decoupling, the accurate setting of PI parameters, as well as the grid voltage conditions. An alternative to the PI-based control method is the finite-control set model predictive current control (FCS-MPC), which has emerged as a powerful control approach in recent years [3], [5], [10]- [18]. The core idea of the FCS-MPC lies in the prediction of the future power converter behavior based on its developed mathematical model.…”

Section: Introductionmentioning

confidence: 99%

Simplified Predictive Direct Power Control of Three-Phase Three-Level Four-Leg Grid Connected NPC Converter

Bouzidi

Barkat

Krama

et al. 2022

IEEE Open J. Ind. Electron. Soc.

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Model Predictive Control (MPC) provides various advantages over traditional controllers in power electronics applications. However, reducing the complexity and computational burden of the Finitecontrol set-model predictive control (FCS-MPC) in multi-leg multilevel inverters is still a challenging task. In this paper, a simplified model predictive direct power control (MPDPC) for a three-level, four-leg gridconnected converter (4L-GCC) is proposed. The main idea of the proposed strategy is to reduce the computational burden of the control algorithm by using only the switching vectors of the first sector to optimize the cost function. The proposed control method can ensure accurate control of active and reactive powers, control of zero-sequence current, as well as DC capacitor voltages balancing without using any weighting factors. Simulation and experimental results are provided to prove the effectiveness and simplicity of the proposed MPC algorithm compared with most-recently proposed solutions.

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“…In [49], a nonlinear control for LVRT augmentation and post-fault recovery in a two-stage PV system is presented. In [50], a PV inverter control that decouples active and reactive power and smoothly switches between operating modes depending on the grid situation.…”

Section: Introductionmentioning

confidence: 99%

Modeling of Double Stage Photovoltaic Inverter System with Fast Delayed Signal Cancellation for Fault Ride-Through Control Application in Microgrids

Buraimoh

Davidson

2022

Energies

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This research presents a secondary control for a grid-supporting microgrid with photovoltaics sources to guarantee grid code compliance and ancillary services. The secondary control accomplishes the fault ride-through, which implements a delayed signal cancellation (DSC) algorithm for negative sequence detection. Without mode switching, the proposed control strategy meets grid code requirements and ensures voltage regulation at the secondary level, which is active and more salient throughout the transient period of host grid disturbances. This control also ensures a constant supply of the microgrid’s sensitive local load while adhering to grid code requirements. Similarly, active power injection into the main grid is limited by progressively altering the MPPT operating point dependent on the depth of voltage sag to optimize reactive power injection to sustain grid voltage sag. The recommended secondary control is triggered by utilizing the DSC process’s detection algorithm to identify the occurrence of a fault in a tiny fraction of a half-cycle in a grid fault. Consequently, while satisfying microgrid load needs, the devised technique guaranteed that increases in DC-link voltage and AC grid current were controlled. MATLAB Simscape ElectricalTM and OPAL-RT Lab are used to do time-domain simulations of the model using the recommended secondary control systems.

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Autonomous Model Predictive Controlled Smart Inverter With Proactive Grid Fault Ride-Through Capability

Cited by 25 publications

References 28 publications

Rank-Based Predictive Control for Community Microgrids With Dynamic Topology and Multiple Points of Common Coupling

Rank-Based Predictive Control for Community Microgrids With Dynamic Topology and Multiple Points of Common Coupling

Simplified Predictive Direct Power Control of Three-Phase Three-Level Four-Leg Grid Connected NPC Converter

Modeling of Double Stage Photovoltaic Inverter System with Fast Delayed Signal Cancellation for Fault Ride-Through Control Application in Microgrids

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