Analysis of the Fault Characteristics of Microgrid with Inverter-Interfaced Distributed Generators

Xu, Yanchang; Mu, Longhua; Zhang, Fan; Mou, Zhiyu; Zhu, Jizhong

doi:10.1109/apap47170.2019.9225168

Cited by 3 publications

(4 citation statements)

References 9 publications

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“…A suitable tool for performing short-circuit studies in microgrids and accurately modeling the contribution from distributed generation, particularly from inverter-based generation, is currently unavailable; existing software solutions are unsuitable to handle the inherent computational costs and data requirements of microgrid simulation. Due to the current-limiting behavior of inverters, modeling inverter-based generation in a conventional phasor-based short-circuit analysis presents difficulties and requires the addition of outer iteration-loops to the short-circuit solver [154,155]; adequate solutions have yet to be developed.…”

Section: Microgridsmentioning

confidence: 99%

Resilience in an Evolving Electrical Grid

et al. 2021

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Fundamental shifts in the structure and generation profile of electrical grids are occurring amidst increased demand for resilience. These two simultaneous trends create the need for new planning and operational practices for modern grids that account for the compounding uncertainties inherent in both resilience assessment and increasing contribution of variable inverter-based renewable energy sources. This work reviews the research work addressing the changing generation profile, state-of-the-art practices to address resilience, and research works at the intersection of these two topics in regards to electrical grids. The contribution of this work is to highlight the ongoing research in power system resilience and integration of variable inverter-based renewable energy sources in electrical grids, and to identify areas of current and further study at this intersection. Areas of research identified at this intersection include cyber-physical analysis of solar, wind, and distributed energy resources, microgrids, network evolution and observability, substation automation and self-healing, and probabilistic planning and operation methods.

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Section: Microgridsmentioning

confidence: 99%

Resilience in an Evolving Electrical Grid

et al. 2021

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“…In this paper, structure of the unbalanced ACOPF problem is mapped into a graph [25]. That is, in the graph of the ACOPF problem (20), each node represents a variable V φ n , while two nodes V φ n and V ρ m are connected via an edge if and only if V φ n • (V ρ m ) * is involved in the ACOPF problem (20).…”

Section: A Graph Representation Of the Acopf Problemmentioning

confidence: 99%

“…Modeling inverter-interfaced generation in a conventional phasor-based short-circuit analysis presents difficulties on account of the current-limiting behavior of inverters which introduces nonlinear behavior into the problem. The addition of outer iteration-loops to the short-circuit solver for setting inverter current setpoints becomes necessary [20][21][22][23][24][25]. This paper discusses how an optimization-based formulation can be employed to perform short-circuit analysis.…”

Section: Introductionmentioning

confidence: 99%

Optimization-Based Formulations for Short-Circuit Studies with Inverter-Interfaced Generation in PowerModelsProtection.jl

et al. 2021

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Protecting inverter-interfaced microgrids is challenging as conventional time-overcurrent protection becomes unusable due to the lack of fault current. There is a great need for novel protective relaying methods that enable the application of protection coordination on microgrids, thereby allowing for microgrids with larger areas and numbers of loads while not compromising reliable power delivery. Tools for modeling and analyzing such microgrids under fault conditions are necessary in order to help design such protective relaying and operate microgrids in a configuration that can be protected, though there is currently a lack of tools applicable to inverter-interfaced microgrids. This paper introduces the concept of applying an optimization problem formulation to the topic of inverter-interfaced microgrid fault modeling, and discusses how it can be employed both for simulating short-circuits and as a set of constraints for optimal microgrid operation to ensure protective device coordination.

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“…When the distribution network fails, the magnitude of the fault current and the contribution of IIDG to the fault current need to be accurately analyzed. The fault current of IIDG depends on the control strategy adopted in the case of grid fault [15,16]. Moreover, the relationship among ride through time and short-circuit current is studied, and the short-circuit response of IIDG under different fault conditions was analyzed.…”

Section: Introductionmentioning

confidence: 99%

Fault Calculation Method of Distribution Network Based on Deep Learning

Zhang

Peng

et al. 2021

Symmetry

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Under the low voltage ride through (LVRT) control strategy, the inverter interfaced distributed generation (IIDG) needs to change the output mode of the inverter according to the voltage of the connected nodes. The short-circuit current is related to the system rated capacity, network short-circuit impedance, and distributed power output. So, based on the deep learning algorithm, a predicting method of the voltage drop is proposed. By predicting the voltage of connected nodes, the output mode of IIDG can be determined based on the LVRT control. Thus, the fault calculation model of IIDG is accurately established. Compared with the three-phase asymmetric Gaussian fault calculation method, the proposed method can achieve fault calculation accurately. Finally, a case study is built to verify the effectiveness of the proposed method. The results indicate that the proposed method can make accurate voltage prediction and improve the computation speed of the fault calculation.

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Analysis of the Fault Characteristics of Microgrid with Inverter-Interfaced Distributed Generators

Cited by 3 publications

References 9 publications

Resilience in an Evolving Electrical Grid

Resilience in an Evolving Electrical Grid

Optimization-Based Formulations for Short-Circuit Studies with Inverter-Interfaced Generation in PowerModelsProtection.jl

Fault Calculation Method of Distribution Network Based on Deep Learning

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