Stability Analysis of a Grid-connected Large-scale DC Microgrid with a Hybrid Wind/Solar Farm

Wang, Li; Peng, Xian-Lun; Yang, Hao-Sin; Tzeng, Ching-Wen; Zhang, Jia-Ruei; Tseng, Chin-Hao

doi:10.1109/iet-iceta56553.2022.9971657

Cited by 3 publications

(3 citation statements)

References 3 publications

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“…V 0 is the voltage assumed at the point of interconnection. The system matrix of the complete network is given by (13). The current cluster consists of two systems, system 1 and system 2, which are coupled by a distribution line running between nodes i and j.…”

Section: B Case 2: Adding a New Network In Between A Distribution Linementioning

confidence: 99%

“…A sensitivity analysis is also performed to study how the system parameters affect the stability. A grid-connected DCMG with a hybrid photovoltaic (PV) and wind is assessed for its stability in [13]. Reference [14] discusses several restrictions connected to the traditional stability criteria such as right-half-plane (RHP) poles or subsystem zeros.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: B Case 2: Adding a New Network In Between A Distribution Linementioning

confidence: 99%

Section: Introductionmentioning

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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show abstract

“…The DC microgrid is connected to the grid through a bidirectional grid-connected converter (BGC). The BGC controls the energy exchange between the DC microgrid and the AC grid and plays a key role in stabilizing the DC bus voltage [8,9].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Virtual Inertia Control Strategy for a Grid-Connected Converter of DC Microgrid Based on an Improved Model Prediction

Zheng,

Su,

Liu

et al. 2023

Symmetry

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Aiming at the problem that the bus voltage in a low-inertia DC microgrid is prone to be affected by internal power fluctuations, an adaptive virtual inertia control strategy for a grid-connected converter of a DC microgrid based on an improved model prediction is proposed. Firstly, the adaptive analog virtual synchronous generator (AVSG) is introduced into the voltage outer loop by combining the inertial parameters with the voltage change rate, and the flexible adjustment of the inertial parameters is realized. Secondly, the improved model predictive control is introduced into the current inner loop to realize the fast-tracking of the given current value and improve the dynamic characteristics of the control system. Finally, a system model is established based on Matlab/Simulink for simulation. The results show that compared with the traditional virtual inertia control strategy, the proposed control strategy has smaller bus voltage fluctuation amplitude and better dynamic performance; when a 10 kW load mutation occurs, the magnitude of bus voltage drop is reduced by 60%, and the voltage recovery time is shortened by 30%. The proposed control strategy can effectively improve the stability of DC bus voltage and the operation ability of the system under asymmetric conditions.

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Optimal Configuration of a DC Microgrid Using a Grey Wolf Optimization Algorithm

Huynh,

Pham,

et al. 2024

2024 7th International Conference on Green Technology and Sustainable Development (GTSD)

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Stability Analysis of a Grid-connected Large-scale DC Microgrid with a Hybrid Wind/Solar Farm

Cited by 3 publications

References 3 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

Adaptive Virtual Inertia Control Strategy for a Grid-Connected Converter of DC Microgrid Based on an Improved Model Prediction

Optimal Configuration of a DC Microgrid Using a Grey Wolf Optimization Algorithm

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