Grid-Interactive Smooth Transition Control of Wind-Solar-DG Based Microgrid at Unpredictable Weather Conditions

Puchalapalli, Sambasivaiah; Singh, Bhim; Das, Souvik

doi:10.1109/tia.2023.3322396

Cited by 5 publications

(3 citation statements)

References 25 publications

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“…In (17), K C represents the rated voltage constant while E C indicates the electromotive forces under standard pressure; T is the operating temperature and z and F are the transferring electron number and the Faraday constant, respectively. Moreover, P H 2 and P O 2 indicate the gas pressures, respectively.…”

Section: Fuel Cell Modeling and Its Controlmentioning

confidence: 99%

“…Recent works of scientific literature propose efficient algorithms for the control and management of energy flow, ensuring maximum power transfer (through the use of maximum point power (MPPT) directly in the algorithms [15,16]), even in adverse or otherwise changing weather conditions [17][18][19][20]. However, it should be noted that the scale limitations and the limited capacity of the accumulator do not allow AC-MGs to provide long-term energy, so it is necessary to use modular FCs to guarantee adequate power with continuity and with rapid response to load variations (common diesel generators are to be excluded because they are polluting and characterized by reduced efficiency) [21,22].…”

Section: Introductionmentioning

confidence: 99%

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Fuzzy Approach for Managing Renewable Energy Flows for DC-Microgrid with Composite PV-WT Generators and Energy Storage System

Versaci,

La Foresta

2024

Energies

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Recently, the implementation of software/hardware systems based on advanced artificial intelligence techniques for continuous monitoring of the electrical parameters of intelligent networks aimed at managing and controlling energy consumption has been of great interest. The contribution of this paper, starting from a recently studied DC-MG, fits into this context by proposing an intuitionistic fuzzy Takagi–Sugeno approach optimized for the energy management of isolated direct current microgrid systems consisting of a photovoltaic and a wind source. Furthermore, a lead-acid battery guarantees the stability of the DC bus while a hydrogen cell ensures the reliability of the system by avoiding blackout conditions and increasing interaction with the loads. The fuzzy rule bank, initially built using the expert’s knowledge, is optimized with the aforementioned procedure, maximizing external energy and minimizing consumption. The complete scheme, modeled using MatLab/Simulink, highlighted performance comparable to fuzzy Takagi–Sugeno systems optimized using a hybrid approach based on particle swarm optimization (to structure the antecedents of the rules) and minimum batch squares (to optimize the output).

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Section: Fuel Cell Modeling and Its Controlmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fuzzy Approach for Managing Renewable Energy Flows for DC-Microgrid with Composite PV-WT Generators and Energy Storage System

Versaci,

La Foresta

2024

Energies

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show abstract

“…Large-scale DFIGs are typically connected to the grid via series compensation lines in order to enhance the transmission capacity of the AC system [16]. However, in series compensation lines, the control system of the DFIG interacts with the compensation capacitor, rendering them susceptible to subsynchronous oscillations and potentially causing large-scale off-grid scenarios [17]. Therefore, there is a pressing demand for a small-signal stability analysis method tailored to the DFIGs system.…”

Section: Introductionmentioning

confidence: 99%

An Algorithm for Calculating the Parameter Selection Area of a Doubly-Fed Induction Generator Based on the Guardian Map Method

Wang,

Chen,

Jia

et al. 2024

Mathematics

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Large-scale wind farms incorporating doubly-fed induction generators (DFIGs) are considered a promising direction for modern energy supply systems due to their role in reducing dependence on fossil energy sources. However, the dynamic interactions between DFIGs and AC grids sometimes lead to sub-synchronous oscillation (SSO) that threatens the safe and stable operation of wind power systems. Therefore, it is essential to develop a mathematical model and design an algorithm to quantitatively design the control parameters. Such algorithms are helpful in preventing or mitigating system stability problems coming from wind power connected to the grid and reducing damage to power equipment. The traditional state-space model is mainly established to determine the stable operating point and analyze the influence of parameters on the system operating mode. However, this method does not provide the selection area for the system parameters. To address this shortcoming, this paper introduces a modular state-space model for DFIGs containing series compensation lines and proposes an algorithm for calculating the parameter selection area based on the Guardian map method. First, a detailed modular state-space model based on the virtual synchronous generator (VSG) control is established. The modular model helps to reflect the relationship between state variables and focuses on describing the operating state of DFIGs in wind farms. Second, this paper focuses on the influence of VSG control parameters and compensation capacitance on SSO. It aims to clarify the role of the series compensation level and control parameters on SSO based on VSG control. Then, an algorithm for the parameter selection area based on the Guardian map is proposed and the area of the VSG-controlled DFIG is obtained. Finally, the accuracy and validity of the algorithm are verified by time domain simulation in MATLAB/Simulink and HIL experiment.

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Reduced-order model-based reachability analysis of hybrid wind-solar microgrids considering primary energy uncertainty

Zhao,

Lu,

Fan

et al. 2024

International Journal of Electrical Power & Energy Systems

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Grid-Interactive Smooth Transition Control of Wind-Solar-DG Based Microgrid at Unpredictable Weather Conditions

Cited by 5 publications

References 25 publications

Fuzzy Approach for Managing Renewable Energy Flows for DC-Microgrid with Composite PV-WT Generators and Energy Storage System

Fuzzy Approach for Managing Renewable Energy Flows for DC-Microgrid with Composite PV-WT Generators and Energy Storage System

An Algorithm for Calculating the Parameter Selection Area of a Doubly-Fed Induction Generator Based on the Guardian Map Method

Reduced-order model-based reachability analysis of hybrid wind-solar microgrids considering primary energy uncertainty

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