Distributed finite‐time cooperative control of droop‐controlled microgrids under switching topology

Wang, Xinsheng; Zhang, Huaqiang; Li, Changxi

doi:10.1049/iet-rpg.2016.0526

Cited by 56 publications

(29 citation statements)

References 24 publications

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“…Reference [56] suggests a finite-time controller method for voltage and frequency restoration with accurate power-sharing. Reference [60] proposes a finite-time convergence control method for synchronizing the frequency and voltage during the islanded mode of a microgrid, and changing of communication topologies. Moreover, Reference [61] suggests a robust finite-time control method for voltage and frequency control and regulation in an autonomous AC microgrid with high penetration of RES.…”

Section: Finite-time Convergence Control Methodsmentioning

confidence: 99%

Distributed Control Methods and Impact of Communication Failure in AC Microgrids: A Comparative Review

et al. 2019

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The objectives of this paper are to review and compare the distributed control methods in AC microgrids and also to identify the impact of communication failure on this type of the controller. The current AC microgrids are distinguished from the traditional power system topologies because of the high penetration of advanced control methods, measurements, sensors, power electronic devices, and communication links. Also, because of the increasing integration of renewable energy sources, control strategy for congestion management, frequency control, and optimal dispatch of microgrids has become more complicated. This paper explains the characteristics and features of distributed control systems and discusses the challenges of these approaches. In addition, a comprehensive review of the advantages and disadvantages of these techniques are explained in detail. On the other hand, the possible challenges, related to communication failure, noise, delay, and packet dropout on the operation of the distributed controller are presented, and several techniques, which reduce the impact of communication failure of the distributed controller, are compared. This comprehensive study on distributed control systems reveals the challenges in and future possible studies on this issue.

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Section: Finite-time Convergence Control Methodsmentioning

confidence: 99%

Distributed Control Methods and Impact of Communication Failure in AC Microgrids: A Comparative Review

et al. 2019

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“…Conversely, decentralized methods exhibit more flexibility and agree well with the use of innovative new control schemes based on artificial intelligence and multi-agent systems consensus [2,10,[22][23][24][25][26]. The fundamental feature of multi-agent-based control methods is enabling the computational abilities at every DGU node to participate in the decision-making process, thus enabling all said agents to arrive at a consensus of corrective measures for the system in time.…”

Section: Introductionmentioning

confidence: 95%

A Quasi-Average Estimation Aided Hierarchical Control Scheme for Power Electronics-Based Islanded Microgrids

Hashmi

Khan

et al. 2019

Electronics

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Self-governed micro power networks are a promising solution for meeting the energy needs of isolated communities not having access to regular transmission networks. The control of such isolated networks requires regulation and “fair” sharing of several power generation and storage resources as well as efficient peer-to-peer coordination between power converters operating in the network. The regulation of key parameters as voltage, frequency and power sharing is to be ensured for the system to operate optimally. This paper proposes a new, de-centralized, and hierarchical control approach for power inverters in isolated micro networks with multi-layered controls, each addressing the regulation of key system parameters. The proposed scheme uses distributed quasi-averaging estimators at each participating node to achieve resilience towards disturbances caused by delayed transmission of measurement and control signals in the data acquisition and information exchange layer. Detailed system models are developed using MATLAB and Sim-power systems to test the effectiveness of the proposed scheme under varying control and network scenarios. The results of these studies are presented as pole zero evolutions, stability margins and case study wise simulations. The studies carried out verify the validity of the proposed control strategy for micro-distribution networks.

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“…The multiagent consensus algorithms implemented across the MG system converge over time according to [29]. The global system dynamics can therefore be given as (15) and (16). The multiagent consensus algorithms implemented across the MG system converge over time according to [29].…”

Section: Communication Networkmentioning

confidence: 99%

A Virtual Micro-Islanding-Based Control Paradigm for Renewable Microgrids

et al. 2018

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Improvements in control of renewable energy-based microgrids are a growing area of interest. A hierarchical control structure is popularly implemented to regulate key parameters such as power sharing between generation sources, system frequency and node voltages. A distributed control infrastructure is realized by means of a communication network that spans the micro-distribution grid. Measured and estimated values, as well as corrective signals are transmitted across this network to effect required system regulation. However, intermittent latencies and failures of component communication links may result in power imbalances between generation sources, deviations in node voltages and system frequency. This paper proposes a hierarchical control structure to regulate the operation of an islanded AC microgrid experiencing communication link failures. The proposed strategy aims to virtually sub-divide the microgrid into controllable "islands". Thereafter, active power sharing, frequency and voltage restoration is achieved by competing converter systems through multi-agent consensus. The effectiveness of the proposed methodology has been verified through stability analyses using system wide mathematical small signal models and case study simulations in MATLAB, Simpower systems.

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Distributed finite‐time cooperative control of droop‐controlled microgrids under switching topology

Cited by 56 publications

References 24 publications

Distributed Control Methods and Impact of Communication Failure in AC Microgrids: A Comparative Review

Distributed Control Methods and Impact of Communication Failure in AC Microgrids: A Comparative Review

A Quasi-Average Estimation Aided Hierarchical Control Scheme for Power Electronics-Based Islanded Microgrids

A Virtual Micro-Islanding-Based Control Paradigm for Renewable Microgrids

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