Recent advancements on the development of microgrids

Li, Qing; Xu, Zhao; Yang, Li

doi:10.1007/s40565-014-0069-8

Cited by 44 publications

(23 citation statements)

References 24 publications

(22 reference statements)

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“…For example, the simulation of high ground impedances of 20+0.26j Ohms has been tested in case 1, and we observe that the linear model is still valid but the voltage differences among various fault positions become 1 mV. As HIF cases may happen in microgrids [24], [25] for ship, space station, military base, island, and mission-critical scenarios, or when the lines are buried underground or implanted in the structure, there is a need in the future research to investigate new methods for HIF cases without the need of obtaining high-resolution voltage samples.…”

Section: Robustness Of the Proposed Algorithmmentioning

confidence: 91%

A Novel Method of Fault Location for Single-Phase Microgrids

Duan

Zhang

Cheng

2015

IEEE Trans. Smart Grid

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This paper presents a novel fault location method for single-phase microgrids. In order to locate a fault, a feature specific to the fault location is found, namely the maximum oscillation magnitude of the transient voltage signal induced by the fault. Our theoretical study and extensive simulations demonstrate that there is an approximated linear relationship between the maximum magnitude of the transient signal observed by a sensor, and the distance between the sensor and the fault location. Based on the discovered relationship, microgrid topology and sensor location information, we have designed an algorithm capable of locating the fault in the single-phase microgrids. The proposed fault location method has been implemented and validated through simulations in Electro-Magnetic TransientsProgram and MATLAB. The average localization error is less than 10% in the evaluation results, which manifests the significance of the novel method, as there is little research done for fault location in single-phase microgrids.

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Section: Robustness Of the Proposed Algorithmmentioning

confidence: 91%

A Novel Method of Fault Location for Single-Phase Microgrids

Duan

Zhang

Cheng

2015

IEEE Trans. Smart Grid

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“…3 shows the classical hierarchical control structure, which contains the primary, secondary and tertiary control. The primary control loop mainly adopts droop control, in order to regulate the local power, voltage and current, and avoid the voltage and frequency instability, and solve the problems of power sharing among the multiple DGs [18,131]. This principle can be achieved by using the well-known P/Q droop method:…”

Section: A the Classical Hierarchical Control Strategies Formentioning

confidence: 99%

MAS-Based Distributed Coordinated Control and Optimization in Microgrid and Microgrid Clusters: A Comprehensive Overview

Han

Zhang

et al. 2018

IEEE Trans. Power Electron.

349

182

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Abstract-The increasing integration of the distributed renewable energy sources highlights the requirement to design various control strategies for microgrids (MGs) and microgrid clusters (MGCs). The multi-agent system (MAS)-based distributed coordinated control strategies shows the benefits to balance the power and energy, stabilize voltage and frequency, achieve economic and coordinated operation among the MGs and MGCs. However, the complex and diverse combinations of distributed generations in multi-agent system increase the complexity of system control and operation. In order to design the optimized configuration and control strategy using MAS, the topology models and mathematic models such as the graph topology model, non-cooperative game model, the genetic algorithm and particle swarm optimization algorithm are summarized. The merits and drawbacks of these control methods are compared. Moreover, since the consensus is a vital problem in the complex dynamical systems, the distributed MAS-based consensus protocols are systematically reviewed. NOMENCLATURE

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“…The basic idea is known as virtual synchronous generator (VSG) which can behave as synchronous generator (SG) with inertia and damping, so as to enhance the system stability. VSG is playing an increasingly important role in power systems due to its controllability and flexibility, especially in microgrids and active distribution power networks [3,4].…”

Section: Introductionmentioning

confidence: 99%

Flexible unbalanced control with peak current limitation for virtual synchronous generator under voltage sags

Chen

Guo

Mei

2017

J. Mod. Power Syst. Clean Energy

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Virtual synchronous generator (VSG) is gridfriendly for integrating distributed generations (DGs) since it can emulate the operation mechanism of traditional synchronous generator (SG). However, the traditional VSG control strategy, which is mainly suitable for balanced voltage conditions, may lead to power oscillations, current unbalance and even overcurrent under unbalanced voltage sags. To overcome this difficulty, a flexible unbalanced control with peak current limitation for VSG under unbalanced operating conditions is proposed. Based on the basic VSG control algorithm, the control strategy integrates two novel control modules, which are current reference generator (CRG) and power reference generator (PRG). The proposed control strategy can flexibly meet different operation demands, which includes current balancing, constant active or reactive power. And the injected currents are kept within safety values for a better utilization of the VSG power capacity. Furthermore, the experimental platform is built. Experimental results demonstrate the validness and effectiveness of the proposed control strategy.

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Recent advancements on the development of microgrids

Cited by 44 publications

References 24 publications

A Novel Method of Fault Location for Single-Phase Microgrids

A Novel Method of Fault Location for Single-Phase Microgrids

MAS-Based Distributed Coordinated Control and Optimization in Microgrid and Microgrid Clusters: A Comprehensive Overview

Flexible unbalanced control with peak current limitation for virtual synchronous generator under voltage sags

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