Truncation-based Approximation of Autonomous Microgrid

Chaudhary, Richa; Singh, V. P.; Mathur, Akhilesh; Meena, V. P.; Murari, Krishna

doi:10.1109/kpec61529.2024.10676110

Cited by 4 publications

References 18 publications

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Brayton–Moser passivity based controller for constant power load with interleaved boost converter

Nithara,

Anand,

Ramprabhakar

et al. 2024

Sci Rep

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A DC microgrid with renewable energy sources can achieve reduced current ripple, higher efficiency, faster dynamics, high voltage gain, and less operational stress by interfacing with an interleaved boost converter (IBC). The stability of an IBC linked to a DC microgrid supplying a constant power load (CPL) can be imperceptibly guaranteed by a conventional controller. A tightly regulated CPL with nonlinear and negative incremental impedance characteristics will lead to stability issues. Uncertainties such as load and line variations will further affect the stability of the system. A nonlinear passivity-based control algorithm requires more attention than a traditional controller to achieve the stability of power converters. This article explains the Brayton–Moser (BM) passivity-based controller (PBC) for a 2-level interleaved boost converter (IBC) interfaced DC microgrid with CPL. The suggested controller can achieve high signal stability by injecting a series-connected virtual impedance. The stability of the proposed controller has been assessed using the Lyapunov stability approach. A BM passivity-based controller for a 2-level IBC with CPL has been derived and investigated under various operating modes using MATLAB and Simulink. It was also observed that the proposed system achieves at least improvement in efficiency and reduction in current ripple. To evaluate the performance of BM Passivity-based controller, a comparative analysis was performed between the suggested controller and the traditional PI controller, which is also included in this paper.

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Brayton–Moser passivity based controller for constant power load with interleaved boost converter

Nithara,

Anand,

Ramprabhakar

et al. 2024

Sci Rep

View full text Add to dashboard Cite

show abstract

Order Reduction of Autonomous Microgrids using Pade and Routh Approximation

Deepika,

Reddy,

Charan

et al. 2024

2024 4th International Conference on Sustainable Expert Systems (ICSES)

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A comprehensive review of microgrid challenges in architectures, mitigation approaches, and future directions

Punitha,

Subramaniam,

Vimal Raj

2024

Journal of Electrical Systems and Inf Technol

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Microgrids (MGs) have the potential to be self-sufficient, deregulated, and ecologically sustainable with the right management. Additionally, they reduce the load on the utility grid. However, given that they depend on unplanned environmental factors, these systems have an unstable generation capacity. Central power system failures have persisted as a result of the microgrids' instability. Microgrid technology integration at the load level has been the main focus of recent research in the field of microgrids. The conventional power grids are now obsolete since it is difficult to protect and operate numerous interconnected distributed generators. A proper investigation of microgrid architectures is presented in this work. This research also explores deep investigations for the improvement of concerns and challenges in various power converter topologies with the aid of control strategies and communication techniques. This in-depth research is aimed at upgrading the appropriate power converter configuration to enhance sustainable growth in power quality, stability, and control over power sharing.

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Truncation-based Approximation of Autonomous Microgrid

Cited by 4 publications

References 18 publications

Brayton–Moser passivity based controller for constant power load with interleaved boost converter

Brayton–Moser passivity based controller for constant power load with interleaved boost converter

Order Reduction of Autonomous Microgrids using Pade and Routh Approximation

A comprehensive review of microgrid challenges in architectures, mitigation approaches, and future directions

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