Reduced-Order State Space Model for Dynamic Phasors in Active Distribution Networks

Wang, Hui‐Fang; Jiang, Kuan; Shahidehpour, Mohammad; Ben-teng, HE

doi:10.1109/tsg.2019.2945541

Cited by 18 publications

(12 citation statements)

References 39 publications

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“…Note that the TD state-space model is actually a series of differential equations. Thus, it can be both linear [48] and nonlinear [61] based on different modeling assumptions. The nonlinear modular state-space models can also be linearized around different operating points, the elements of the resultant Jacobian matrix can also be transformed to transfer function and FD methods can be used.…”

Section: Figure 8 Application Range Of Different Modeling Methodsmentioning

confidence: 99%

Modeling Techniques and Stability Analysis Tools for Grid-Connected Converters

Peng

Buticchi

Tan

et al. 2022

IEEE Open J. Power Electron.

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Large-scale integration of renewable generation interfaced to the network through power electronic converters has led to drastic changes in power system dynamics. In islanded microgrids or weak grids, different control concepts for the synchronization of converters have been proposed to provide virtual inertia and improve their resilience against transient events, ensuring safe operation without heavy redundant design. The complexity of these power-related control algorithms and their interaction with the inner control loops causes problems in frequency components above the range of traditional studies which calls on modeling techniques with a wider bandwidth. This work aims to provide an outline of modeling methods for grid-connected converter dynamics from subsynchronous to switching sideband frequency range and relevant analyzing tools. The major contributions of this work are: 1. Theoretical foundations and the derivation processes are discussed for each of the modeling methods within the time domain, frequency domain and harmonic domain. 2. Similarities and differences between these methods are highlighted and recommendations are given regarding different grid situations. 3. A case study with an active front end converter is shown and the analysis results are validated by simulation and Hardwarein-the-Loop (HiL) test, illustrating the effectiveness of these methods.

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Section: Figure 8 Application Range Of Different Modeling Methodsmentioning

confidence: 99%

Modeling Techniques and Stability Analysis Tools for Grid-Connected Converters

Peng

Buticchi

Tan

et al. 2022

IEEE Open J. Power Electron.

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“…The probabilistic techniques include the Gaussian Mixture Models [145], the Extreme Value Theory [146], the State-Space Models [147], the Kernel Density Estimators [148], and the Negative Selection [149]. These techniques estimate the value of density from the normal class, and assume that areas of low density in the training set indicate a low probability to contain normal objects.…”

Section: Techniques That Could Be Possible Potential Solutions To The...mentioning

confidence: 99%

Advances in Power Quality Analysis Techniques for Electrical Machines and Drives: A Review

et al. 2022

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The electric machines are the elements most used at an industry level, and they represent the major power consumption of the productive processes. Particularly speaking, among all electric machines, the motors and their drives play a key role since they literally allow the motion interchange in the industrial processes; it could be said that they are the medullar column for moving the rest of the mechanical parts. Hence, their proper operation must be guaranteed in order to raise, as much as possible, their efficiency, and, as consequence, bring out the economic benefits. This review presents a general overview of the reported works that address the efficiency topic in motors and drives and in the power quality of the electric grid. This study speaks about the relationship existing between the motors and drives that induces electric disturbances into the grid, affecting its power quality, and also how these power disturbances present in the electrical network adversely affect, in turn, the motors and drives. In addition, the reported techniques that tackle the detection, classification, and mitigations of power quality disturbances are discussed. Additionally, several works are reviewed in order to present the panorama that show the evolution and advances in the techniques and tendencies in both senses: motors and drives affecting the power source quality and the power quality disturbances affecting the efficiency of motors and drives. A discussion of trends in techniques and future work about power quality analysis from the motors and drives efficiency viewpoint is provided. Finally, some prompts are made about alternative methods that could help in overcome the gaps until now detected in the reported approaches referring to the detection, classification and mitigation of power disturbances with views toward the improvement of the efficiency of motors and drives.

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“…In this work, a simplified version of the state-space model described in [20] has been implemented. State-space representation is a widely used technique in modeling dynamic systems [30], [31]. In this representation, the system is characterized by state variables, which define the current state of the system.…”

Section: State-space Model Of the Pv Systemmentioning

confidence: 99%

Systematic Evaluation of Photovoltaic MPPT Algorithms Using State-Space Models Under Different Dynamic Test Procedures

Riquelme-Dominguez

Martínez

2022

IEEE Access

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Maximum Power Point Tracking (MPPT) algorithms are essential in solar photovoltaic (PV) generation. In the last years, a major research effort has been made in order to get more efficient MPPT algorithms. However, in the literature, there is not a unique methodology for testing and comparing these kind of algorithms when facing dynamic irradiance conditions. This paper proposes a systematic way of evaluating and comparing MPPT algorithms for PV systems, at the simulation stage, unifying the following aspects: the PV system configuration, the type of simulation to be performed, and the dynamic irradiance tests to take into account. The MPPT algorithm is implemented into the dc-dc converter of the system for simplification purposes, simulations are carried out through state-space equations in order to reduce the total simulation time, and three irradiance dynamic tests are used systematically to provide full comparison under different environmental conditions. To test the flexibility of the proposed technique, a comparison of three commonly known Perturb and Observe (P&O) algorithms has been performed, giving special attention to the MPPT drift phenomenon. All interested researchers can request a computer application that implements the proposed methodology.

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Reduced-Order State Space Model for Dynamic Phasors in Active Distribution Networks

Cited by 18 publications

References 39 publications

Modeling Techniques and Stability Analysis Tools for Grid-Connected Converters

Modeling Techniques and Stability Analysis Tools for Grid-Connected Converters

Advances in Power Quality Analysis Techniques for Electrical Machines and Drives: A Review

Systematic Evaluation of Photovoltaic MPPT Algorithms Using State-Space Models Under Different Dynamic Test Procedures

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