Model predictive controller for single‐phase distributed generator with seamless transition between grid and off‐grid modes

Sekhar, P. C.; Tupakula, Ratna Rahul

doi:10.1049/iet-gtd.2018.6345

Cited by 6 publications

(2 citation statements)

References 36 publications

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“…Besides, the proposed approach does not require an islanding detection system [25,26]. Thus, the drawbacks of islanding detection such as deviation in current and voltage due to mismatch in frequency, phase, and amplitude [27][28][29], during the switching between the islanded and grid modes are avoided. The outline and contribution of this paper is summarized as follows:…”

Section: Introductionmentioning

confidence: 99%

Robust Control for Optimized Islanded and Grid-Connected Operation of Solar/Wind/Battery Hybrid Energy

2022

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Wind and solar energy systems are among the most promising renewable energy technologies for electric power generations. Hybrid renewable energy systems (HRES) enable the incorporation of more than one renewable technology, allowing increased reliability and efficiency. Nevertheless, the introduction of variable generation sources in concurrence with the existing system load demand necessitates maintaining the power balance between the components of the HRES. Additionally, the efficiency of the hybrid power supply system is drastically affected by the number of converters interfacing its components. Therefore, to improve the performance of the HRES, this paper proposes a robust sliding mode control strategy for both standalone and grid-connected operation. The control strategy achieves maximum power point tracking for both the renewable energy sources and stabilizes the DC-bus and load voltages irrespective of the disturbances, change in load demand, variations of irradiance level, temperature, and wind speed ensuring an efficient energy management. Furthermore, the solar PV system is directly linked to the DC-bus obviating the need for redundant interfacing boost converters with decreased costs and reduced system losses. Lyapunov candidate function is used to prove the asymptotic stability and the convergence of the entire system. The robustness of the proposed control strategy is tested and validated under various conditions of HRES, demonstrating its efficacy and performance under various conditions of the HRES.

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Section: Introductionmentioning

confidence: 99%

Robust Control for Optimized Islanded and Grid-Connected Operation of Solar/Wind/Battery Hybrid Energy

2022

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“…Different control techniques have already been proposed to have a good performance in both modes of operation. Some of the proposed control strategies based on advanced control theory are sliding-mode [6], adaptive back stepping [7], and model predictive control [8], [9]. Although these algorithms provide a single scheme in both modes of operation, they have a complex structure and are not easily implemented.…”

mentioning

confidence: 99%

Linear Quadratic Regulator Based Smooth Transition Between Microgrid Operation Modes

Ganjian-Aboukheili

Shahabi

Shafiee

et al. 2021

IEEE Trans. Smart Grid

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Dual mode operation capability of distributed energy resources in microgrids is an attractive feature that makes these systems a promising solution for improving reliability and economy of the power system. However, the transition between microgrid operation modes (grid-connected and islanding) may lead to a significant deviation in voltage and current because of inconsistency in phase, frequency, and voltage amplitude. To minimize the fluctuations and provide a smooth transition, this paper presents an optimal control framework based on linear quadratic regulator. The framework includes two regulators that separately designed for each transition mode: 1) grid-connected to islanding smooth regulator, and 2) islanding to grid-connected smooth regulator. Optimality based on optimizing solution, smooth transition, ease of implementation due to its simple state feedback form and compatibility with familiar cascade loops are the main advantages of the proposed approach. Experimental results are presented to validate the efficacy of the proposed approach.

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Model Predictive Control Based Inverter to Enhance the Performance Under Grid Frequency Variations

Rahul

2020

Recent Advances in Power Electronics and Drives

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Model predictive controller for single‐phase distributed generator with seamless transition between grid and off‐grid modes

Cited by 6 publications

References 36 publications

Robust Control for Optimized Islanded and Grid-Connected Operation of Solar/Wind/Battery Hybrid Energy

Robust Control for Optimized Islanded and Grid-Connected Operation of Solar/Wind/Battery Hybrid Energy

Linear Quadratic Regulator Based Smooth Transition Between Microgrid Operation Modes

Model Predictive Control Based Inverter to Enhance the Performance Under Grid Frequency Variations

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