Sensorless predictive control of voltage source inverters for renewable energies integration under unbalanced and distorted grid conditions

Triki, Yacine; Bechouche, Alı; Seddiki, Hamid; Abdeslam, Djaffar Ould

doi:10.1007/s00202-021-01432-0

Cited by 4 publications

(2 citation statements)

References 31 publications

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“…This includes factors such as variable power output and solar irradiance, which necessitate the use of predictive models. These models are crucial for forecasting PV generation, which in turn enables smart demand response, efficient energy management, and ensures an adequate supply [22][23][24][25][26][27][28]. Forecasts can be categorized into three types, based on the time horizon: short-term (from a few minutes to several hours), medium-term (from 1 week to 1 year), and long-term (longer than 1 year) [29].…”

Section: Introductionmentioning

confidence: 99%

On the Use of Indirect Measurements in Virtual Sensors for Renewable Energies: A Review

Benabdesselam,

Dollon,

Zemouri

et al. 2024

Electronics

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In the dynamic landscape of renewable energy, the primary goal continues to be the enhancement of competitiveness through the implementation of cutting-edge technologies. This requires a strategic focus on reducing energy costs and maximizing system performance. Within this framework, the continuous online monitoring of assets is essential for efficient operations, by conducting measurements that describe the condition of various components. However, the execution of these measurements can present technical and economic obstacles. To overcome these challenges, the implementation of indirect measurement techniques emerges as a viable solution. By leveraging measurements obtained in easily accessible areas, these methods enable the estimation of quantities in regions that would otherwise be inaccessible. This approach improves the monitoring process’s efficiency and provides previously unattainable information. Adopting indirect measurement techniques is also cost-effective, allowing the replacement of expensive sensors with existing infrastructure, which cuts down on installation costs and labor. This paper offers a detailed state-of-the-art review by providing an in-depth examination and classification of indirect measurement techniques and virtual sensing methods applied in the field of renewable energies. It also identifies and discusses the existing challenges and limitations within this topic and explores potential future developments.

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Section: Introductionmentioning

confidence: 99%

On the Use of Indirect Measurements in Virtual Sensors for Renewable Energies: A Review

Benabdesselam,

Dollon,

Zemouri

et al. 2024

Electronics

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“…The modulation methods [7] and predictive control strategy [8] have been proposed. The model predictive (MPC) is the most prominent closed-loop method among the proposed approaches [9][10][11][12]. The MPC strategy considers the mathematical description of the plant to calculate how the control variables change according to a given input signal.…”

Section: Introductionmentioning

confidence: 99%

Finite Control Set Model Predictive Control of Six-Phase Induction Motor

Gülbudak

Gökdağ

Akbaba

2022

Preprint

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Model predictive control (MPC) is a closed-loop technique to generate inputs to activate the process so that the outputs of the interest track a certain set point or reference signal. MPC performs this in a closed loop by updating the decision on the value of the input variables based on measurements from the system. MPC uses an explicit process model to predict what the system will do if a specific sequence of inputs is applied in the future. The MPC methods are popular in electrification and ac drive systems due to fast dynamic response. It offers great flexibility in handling multiple control goals and nonlinearities. This paper proposes a novel Finite Control Set MPC method that aims to keep control transitions to a minimum. In the proposed method, it is desired to achieve control targets by using minimum energy. The designed MPC controller meets all requirements for six-phase motor control. The proposed mathematical concept has been proven by experimental results. The experimental results have shown that the proposed method regulates system dynamics in a stable and effective way.

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A current source inverter with zero-voltage-switching for low-input voltage PMSM drive application

Jiang

2023

Electr Eng

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Sensorless predictive control of voltage source inverters for renewable energies integration under unbalanced and distorted grid conditions

Cited by 4 publications

References 31 publications

On the Use of Indirect Measurements in Virtual Sensors for Renewable Energies: A Review

On the Use of Indirect Measurements in Virtual Sensors for Renewable Energies: A Review

Finite Control Set Model Predictive Control of Six-Phase Induction Motor

A current source inverter with zero-voltage-switching for low-input voltage PMSM drive application

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