A Centralized Control Algorithm for Power Management in Interconnected DC Microgrids

Jithin, K.; Harikumar, R.; Mayadevi, N.; Mini, V. P.

doi:10.1007/978-981-16-1978-6_39

Cited by 7 publications

(5 citation statements)

References 12 publications

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“…The central controller, which employs an algorithm for the optimal dispatch, provides the value of I ref [29]. The controller gains are obtained using Ziegler-Nichols method [30], [31].…”

Section: Transfer Function Of Converter-based Dcmgsmentioning

confidence: 99%

Stability Analysis of DC Microgrid Clusters Based on Step-by-step System Matrix Building Algorithm

Jithin,

Mayadevi,

Hari Kumar

et al. 2024

Journal of Modern Power Systems and Clean Energy

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DC microgrids (DCMGs) are made up of a network of sources and loads that are connected by a number of power electronic converters (PECs). The increase in the number of these PECs instigates major concerns in system stability. While interconnecting the microgrids to form a cluster, the system stability must be ensured. This paper proposes a novel stepby-step system matrix building (SMB) algorithm to update the system matrix of an existing DCMG cluster when a new microgrid is added to the cluster through a distribution line. The stability of the individual DCMGs and the DCMG cluster is analyzed using the eigenvalue method. Further, the particle swarm optimization (PSO) algorithm is used to retune the controller gains if the newly formed cluster is not stable. The simulation of the DCMG cluster is carried out in MATLAB/Simulink environment to test the proposed algorithm. The results are also validated using the OP4510 real-time simulator (RTS).

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“…The central controller, which employs an algorithm for the optimal dispatch, provides the value of I ref [29]. The controller gains are obtained using Ziegler-Nichols method [30], [31].…”

Section: Transfer Function Of Converter-based Dcmgsmentioning

confidence: 99%

Stability Analysis of DC Microgrid Clusters Based on Step-by-step System Matrix Building Algorithm

Jithin,

Mayadevi,

Hari Kumar

et al. 2024

Journal of Modern Power Systems and Clean Energy

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“…The overall transfer function of the system, derived by reducing the block diagram in Figure 7 and substituting the parameter values from Table 5, is obtained as (3).…”

Section: Fuel Cell With Boost Convertermentioning

confidence: 99%

“…However, the huge capacity requirement and charging/ discharging issues of these devices create concern. Thus, clustering of grids becomes a more efficient and reliable solution to overcome these drawbacks 3–6 . As compared with independent MGs, clustered MGs have less operational cost, increased reliability, and optimized use of storage devices 7,8 …”

Section: Introductionmentioning

confidence: 99%

A novel system matrix building algorithm for stability analysis of interconnected DC microgrids

et al. 2023

Circuit Theory & Apps

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DC microgrids (DCMGs) are achieving critical significance these days because of their colossal benefits as compared with the existing AC systems. However, with the high penetration of sources interfaced to the grid using various power electronic converters (PECs), stability is often a crucial issue, especially during the interconnected operation of microgrids (MGs). Hence, before the interconnection of DCMGs, the stability of the resultant system needs to be guaranteed. In this work, a novel step‐by‐step procedure, which does not require a complete rebuilding of the system matrix when a new DCMG is added through a distribution line to the cluster, is proposed. Furthermore, stability analysis of the individual DCMGs and the cluster is performed from a control system perspective using the eigenvalue method. From the analysis, it is seen that, even though the individual DCMG units operate as a stable system, the resulting clusters may not be stable. The stability issues of the cluster are resolved by tuning the controller parameters with particle swarm optimization (PSO). The results reveal the importance of stability analysis and the selection of optimum controller gains for the reliable operation of DCMG clusters. Also, the algorithm is verified using simulation in MATLAB/Simulink environment and real‐time experiment using OPAL‐RT simulator.

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“…A lot of research has been performed already on LV DC microgrids, focusing on control and stability [2], system architecture [3], and planning and implementation issues [4]. Measurements in real DC trial grids have been reported as well, investigating the power flow [5], energy management and harmonics [6], and efficiency, losses, and potential energy savings [7].…”

Section: Introductionmentioning

confidence: 99%

Power Quality Measurements in a Low-Voltage DC Microgrid in an Open Parking Garage

van den Brom,

van Leeuwen,

Warmerdam

et al. 2024

2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)

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A Centralized Control Algorithm for Power Management in Interconnected DC Microgrids

Cited by 7 publications

References 12 publications

Stability Analysis of DC Microgrid Clusters Based on Step-by-step System Matrix Building Algorithm

Stability Analysis of DC Microgrid Clusters Based on Step-by-step System Matrix Building Algorithm

A novel system matrix building algorithm for stability analysis of interconnected DC microgrids

Power Quality Measurements in a Low-Voltage DC Microgrid in an Open Parking Garage

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