Consensus-Based Distributed Coordination Control of Hybrid AC/DC Microgrids

Yoo, Hyeong-Jun; Nguyen, Thai-Thanh; Kim, Hak-Man

doi:10.1109/tste.2019.2899119

Cited by 83 publications

(39 citation statements)

References 26 publications

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“…Alternatively, a four-leg converter (at the AC-side) can be utilised to interface with 4-leg MGs. The study of distributed control strategies that integrate the secondary control loop in both sides of a hybrid AC/DC-MG has not been appropriately addressed yet in the literature [30], [224], [258], [259]. The research has been focused on developing separate secondary control loops on each side (AC and DC).…”

Section: Distributed Secondary Control Of Hybrid Ac/dc-microgridsmentioning

confidence: 99%

Distributed Control Strategies for Microgrids: An Overview

et al. 2020

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There is an increasing interest and research effort focused on the analysis, design and implementation of distributed control systems for AC, DC and hybrid AC/DC microgrids. It is claimed that distributed controllers have several advantages over centralised control schemes, e.g., improved reliability, flexibility, controllability, black start operation, robustness to failure in the communication links, etc. In this work, an overview of the state-of-the-art of distributed cooperative control systems for isolated microgrids is presented. Protocols for cooperative control such as linear consensus, heterogeneous consensus and finitetime consensus are discussed and reviewed in this paper. Distributed cooperative algorithms for primary and secondary control systems, including (among others issues) virtual impedance, synthetic inertia, droopfree control, stability analysis, imbalance sharing, total harmonic distortion regulation, are also reviewed and discussed in this survey. Tertiary control systems, e.g., for economic dispatch of electric energy, based on cooperative control approaches, are also addressed in this work. This review also highlights existing issues, research challenges and future trends in distributed cooperative control of microgrids and their future applications.

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Section: Distributed Secondary Control Of Hybrid Ac/dc-microgridsmentioning

confidence: 99%

Distributed Control Strategies for Microgrids: An Overview

et al. 2020

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“…The study in [44] presents the MG shown in the Figure 13, consisting of an AC and DC microgrid, connected with an interlinking converter. The interlinking converter in a hybrid AC/DC MG system plays an important role of maintaining power sharing between AC and DC MG systems.…”

Section: Distributed Coordination Control In Hybrid Ac/dc Microgrid Wmentioning

confidence: 99%

“…The pulse width modulated signals generated by the controllers in OP4510s were sent to distributed generation units and interlinking converter. Detailed structure of the configuration of the tested system and exchanged signals between OP4510s and real hardware system can be found in [44].…”

Section: Distributed Coordination Control In Hybrid Ac/dc Microgrid Wmentioning

confidence: 99%

“…1. Microgrid prototyping and validation: Testing AC, DC, and Hybrid MGs requires a wide variety of techniques and methodologies including: benchmarks and prototyping platforms [32][33][34][35], testing chains and procedures for centralized and decentralized controllers [36][37][38][39][40][41], and rapid control prototyping (RCP) for a quick development of new control strategies in a real hardware environments [42][43][44]. 2.…”

Section: Introductionmentioning

confidence: 99%

“…Circuit diagram of hybrid AC/DC MG[44]. Reproduced with permission from Hyeong-Jun Yoo, Consensus-Based Distributed Coordination Control of Hybrid AC/DC Microgrids; published by IEEE, 2020.…”

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confidence: 99%

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Advanced Laboratory Testing Methods Using Real-Time Simulation and Hardware-in-the-Loop Techniques: A Survey of Smart Grid International Research Facility Network Activities

et al. 2020

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The integration of smart grid technologies in interconnected power system networks presents multiple challenges for the power industry and the scientific community. To address these challenges, researchers are creating new methods for the validation of: control, interoperability, reliability of Internet of Things systems, distributed energy resources, modern power equipment for applications covering power system stability, operation, control, and cybersecurity. Novel methods for laboratory testing of electrical power systems incorporate novel simulation techniques spanning real-time simulation, Power Hardware-in-the-Loop, Controller Hardware-in-the-Loop, Power System-in-the-Loop, and co-simulation technologies. These methods directly support the acceleration of electrical systems and power electronics component research by validating technological solutions in high-fidelity environments. In this paper, members of the Survey of Smart Grid International Research Facility Network task on Advanced Laboratory Testing Methods present a review of methods, test procedures, studies, and experiences employing advanced laboratory techniques for validation of range of research and development prototypes and novel power system solutions.

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Model predictive control—Based distributed control algorithm for bidirectional interlinking converter in hybrid microgrids

Ali

Aamir²,

Jafri

et al. 2021

Int Trans Electr Energ Syst

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Summary A hybrid AC/DC microgrid takes advantages of both DC and AC microgrids with distributed generation (DG) units in both the respective grids connected through a bidirectional interlinking converter (BIC). Control of hybrid AC/DC microgrid presents a significant research and engineering challenge and hence needs increased research efforts. Existing control algorithms restrict individual controllers to control only designated parameters. This paper proposes MPC‐based distributed control algorithm that will analyze grid conditions, and it would designate BIC to regulate the highest deviated parameter (AC/DC voltage or current) in all nonlinear conditions by performing multivariable optimization using variable control scheme in MPC. Other parameters would be controlled by individual controllers as per their capability. MPC being a nonlinear control technique having an excellent dynamic response and constraint inclusion feature has advantage as compared to other linear and nonlinear techniques. The performance of the proposed algorithm has been compared against other techniques and proved in MATLAB/SIMULINK simulation.

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Consensus-Based Distributed Coordination Control of Hybrid AC/DC Microgrids

Cited by 83 publications

References 26 publications

Distributed Control Strategies for Microgrids: An Overview

Distributed Control Strategies for Microgrids: An Overview

Advanced Laboratory Testing Methods Using Real-Time Simulation and Hardware-in-the-Loop Techniques: A Survey of Smart Grid International Research Facility Network Activities

Model predictive control—Based distributed control algorithm for bidirectional interlinking converter in hybrid microgrids

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