Distributed secondary and tertiary controls for
            <i>I–V</i>
            droop‐controlled‐paralleled DC–DC converters

Wang, Haojie; Han, Minxiao; Guerrero, Josep M.; Vasquez, Juan C.; Teshager, Bitew Girmaw

doi:10.1049/iet-gtd.2017.0948

Cited by 26 publications

(13 citation statements)

References 31 publications

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“…The ESD control strategies can be divided into two main areas: 1) Allocation of various load components to different ESUs using energy management system and 2) Coordinated power management and controlled voltage operation among the distributed energy storage units (ESUs) in the MG [14]. To achieve the above control objectives, a multi‐layer hierarchical control technique was implemented [15]. Depending on the communication method, upper level or secondary control level uses distributed consensus control scheme for effective power management in homogeneous network with limited sources [15].…”

Section: Introductionmentioning

confidence: 99%

“…To achieve the above control objectives, a multi‐layer hierarchical control technique was implemented [15]. Depending on the communication method, upper level or secondary control level uses distributed consensus control scheme for effective power management in homogeneous network with limited sources [15]. If the MG system contains multiple sources, dynamics of the DERs would be different resulting in disturbances occurring on the system.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Disturbance Observer Based Distributed Consensus Control Strategy of Multi‐Agent System with External Disturbance in a Standalone DC Microgrid

Metihalli

Jayalakshmi

2020

Asian Journal of Control

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This article proposes the secondary voltage control of microgrid on the basis of cooperative control of multi agent system. The distributed cooperative control utilizes disturbance observer technique to synchronize the DC bus voltage. The proposed controller achieves balanced power sharing among the battery energy storage units (BESUs) in the presence of external disturbances in heterogeneous microgrid (MG) network. The dynamics of heterogeneous nodes affected by constant disturbance such as error measurements, sudden load variations and communication link failure between distributed generator units make the network highly heterogeneous. Firstly, a disturbance observer is established to estimate the disturbance generated from the MG system. Secondly, distributed consensus control law is designed to suppress the disturbances acting on the multi‐agent system. Furthermore, communication delays are explicitly considered in the analysis. The presented control strategy is compared with the existing mainstream algorithms to check the feasibility of the designed control method. The effectiveness of the proposed control law for isolated DC MG system has been validated by MATLAB/Simulink platform using simulation case studies.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Disturbance Observer Based Distributed Consensus Control Strategy of Multi‐Agent System with External Disturbance in a Standalone DC Microgrid

Metihalli

Jayalakshmi

2020

Asian Journal of Control

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“…Distributed control is a modern control approach developed as a natural solution for the naturally distributed systems as a more reliable control strategy, since the control is geographically distributed along with the system. It has applications in several fields including robotics [14][15][16][17][18][19], power electronics [20][21][22][23][24] and microgrid control [1,[25][26][27][28][29][30]. A distributed controller uses the informations of its neighboring components in addition to its local data to achieve regulation and reference tracking without having access to the reference itself.…”

Section: Introductionmentioning

confidence: 99%

Fixed-time observer-based distributed secondary voltage and frequency control of islanded AC microgrids

Ghazzali

Haloua

Giri

2020

IJECE

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This paper deals with the problem of voltage and frequency control of distributed generators (DGs) in AC islanded microgrids. The main motivation of this work is to obviate the shortcomings of conventional centralized and distributed control of micro-grids by providing a better alternative control strategy with better control performance than state-of-the art approaches. A distributed secondary control protocol based on a novel fixed-time observer-based feedback control method is designed for fixed-time frequency and voltage reference tracking and disturbance rejection. Compared to the existing secondary microgrid controllers, the proposed control strategy ensures frequency and voltage reference tracking and disturbance rejection before the desired fixed-time despite the microgrid initial conditions, parameters uncertainties and the unknown disturbances. Also, the controllers design and tuning is simple, straightfor-ward and model-free.i.e, the knowledge of the microgrid parameters, topology, loads or transmission lines impedance are not needed in the design procedure. The use of distributed control approach enhances the reliability of the system by making the control system geographically distributed along with the power sources, by using the neighboring DGs informations instead of the DG’s local informations only and by cooperatively rejecting external disturbances and maintaining the frequency and the voltage at their reference values at any point of the microgrid. The efficiency of the proposed approach is verified by comparing its performance in reference tracking and its robustness to load power variations to some of the works in literature that addressed distributed secondary voltage and frequency control.

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“…Daniel et al [17] presented a centralized secondary control in parallel operation of buck converters. Energy storage system, vehicle to grid (V2G) control, tertiary or management level control, and entire energy management in DC Microgrids are well presented in [18][19][20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

An Implementation of Parallel Buck Converters for Common Load Sharing in DC Microgrid

et al. 2019

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The increase in demand for clean, safe, and environmentally friendly renewable energy sources faces several challenges such as system design and reliable operations. DC microgrid (MG) is a promising system due to higher efficiency and natural interface to renewable sources. In the hierarchical control of DC Microgrid, the V-I droop control is deployed usually in primary control level for common load sharing between converters. However, conventional droop control causes improper current sharing, voltage variations, and circulating current regulation due to the presence of droop and line resistance between converters. The aim of this paper is to presents the primary control level design of buck converters in current mode control according to the concepts of time constant and time delay, and secondary control design for parallel operations in distributed manners by combining methods, namely, low bandwidth communication (LBC), circulating current minimization techniques, and average voltage/current control. Moreover, different time delays are used for two converters to testify the effects of communication delays on current sharing and voltage restoration. The simulation is done for 2 × 2.5 KWdc parallel buck converters in PLECS (a Simulation software used for high speed simulation for power electronics) environment which shows excellent results in minimizing circulation currents, enhancing proportional current sharing, and restoring the grid voltage.

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Distributed secondary and tertiary controls for I–V droop‐controlled‐paralleled DC–DC converters

Cited by 26 publications

References 31 publications

Disturbance Observer Based Distributed Consensus Control Strategy of Multi‐Agent System with External Disturbance in a Standalone DC Microgrid

Disturbance Observer Based Distributed Consensus Control Strategy of Multi‐Agent System with External Disturbance in a Standalone DC Microgrid

Fixed-time observer-based distributed secondary voltage and frequency control of islanded AC microgrids

An Implementation of Parallel Buck Converters for Common Load Sharing in DC Microgrid

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