A Lyapunov function based model predictive control for three phase grid connected photovoltaic converters

Golzari, Shahram; Rashidi, Farzan; Farahani, H.

doi:10.1016/j.solener.2019.02.005

Cited by 28 publications

(14 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The non-linearities associated with grid-tied inverters, especially model uncertainties or grid instabilities, can be tackled with non-linear (NL) controllers. 96 NL current controllers can obtain robustness against the unmodelled disturbances along with excellent dynamic performance. However, the practical implementation of the NL controller is a challenging task.…”

Section: Non-linear Current Controllersmentioning

confidence: 99%

Grid‐connected photovoltaic inverters with low‐voltage ride through for a residential‐scale system: A review

Talha

Amir

Raihan

et al. 2020

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

Background: Recent advancements in solar power generation technology have paved the way for a vast number of photovoltaic (PV) systems integration into the grid network. The global installed capacity of rooftop PV systems has already surpassed a 50 GW mark in 2020, while the total installed capacity of all types of PV systems is reaching beyond 500 GW. The influx of distributed PV-generators must be equipped with sophisticated control to ensure grid stability, especially during grid faults. A devastating grid outage may occur if the grid-tied PV inverters are not equipped with the "fault-ride-through" mechanism. Many countries have already enforced a mandatory grid code which includes a low-voltage-ride through requirements for PV-generators. Aim and Objective: This paper reviews the design of a rooftop PV inverters in the light of low-voltage-ride-through requirements.Materials and Methods: For the implementation of low-voltage-ride-through (LVRT), the design of low-voltage-sag detection, grid-synchronization, filterselection, and power-controllers are examined through simulations and literature survey. LVRT implementation issues are highlighted with an emphasis on the current controller performance during grid sags.Results and Discussion: From the review and analysis conducted in this study, this paper concludes that ensuring a stable DC-link and appropriate control-reference-signals during the grid faults are the keys to the LVRT implementation. Conclusion:In addition to robust power control, an autonomous PV generator should promptly detect the grid conditions and fulfils the ancillary services

show abstract

Section: Non-linear Current Controllersmentioning

confidence: 99%

Grid‐connected photovoltaic inverters with low‐voltage ride through for a residential‐scale system: A review

Talha

Amir

Raihan

et al. 2020

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

show abstract

“…Many of the intermittent renewable energy based generators have an inverter connected to a grid, which is focused on applications that can take advantage from voltage regulation. One of the most common ways to grid connect a power source is via an active rectifier [2], that can be used for photovoltaic (PV) systems [3], [4]. Another example of a renewable system is Doubly Fed Induction Generators (DFIG) based wind energy conversion system.…”

Section: Introductionmentioning

confidence: 99%

Repetitive Predictive Control for Current Control of Grid-Connected Inverter Under Distorted Voltage Conditions

et al. 2022

View full text Add to dashboard Cite

A repetitive predictive control for grid-connected inverter current control scheme is presented in this paper under voltage harmonic distortion in the stationary reference frame. Predictive control is an approach that uses a receding horizon to achieve the optimal track for the reference. In this approach, the repetitive controller behavior is added to the predictive control to increase its performance under distorted voltage conditions. In addition, to apply the controller in the generation system, controller is designed from the perspectives of the power system. The controller is designed considering the state-space model in the stationary reference frame. The controller performance was verified using a laboratory experimental setup under distorted grid voltage condition. Experimental results confirm that the proposed controller can effectively suppress harmonics under both normal operation and distorted grid voltage conditions, and also satisfy the requirements stipulated in IEEE Std.

show abstract

“…[31] Ref. Due to their significant benefits, predictive control methods have attracted the intention of many researches and they have been implemented in a wide range of applications, including power converters, actuator faults, pharmaceuticals industry, chemical processes, and induction motors [27][28][29][30][31][32][33][34][35][36][37][38]. Hence, in comparison with the conventional P&O algorithm, an improvement of 10.52% in the overall PV system efficiency was achieved by various research groups/researchers [27] via the application of the MPC technique.…”

Section: Introductionmentioning

confidence: 99%

“…In [28], an overall efficiency of 90% for a grid connected system was achieved by applying the MPC for a three-phase inverter, where the efficiency was approximately 98% for the maximum power point tracking (MPPT) control method and 92% for the inverter. A Lyapunov-function-based MPC was proposed by authors of [29], where the results showed that the proposed control strategy maintains the active and reactive powers close to the desired values with an error of less than 3%. Various research groups/researchers [30] have proposed a combination of MPC with an extended Kalman filter (EKF) for a two-level inverter.…”

Section: Introductionmentioning

confidence: 99%

High-Performance Tracking for Proton Exchange Membrane Fuel Cell System PEMFC Using Model Predictive Control

et al. 2021

View full text Add to dashboard Cite

Proton exchange membrane (PEM) fuel cell has recently attracted broad attention from many researchers due to its cleanliness, high efficiency and soundless operation. The obtention of high-performance output characteristics is required to overcome the market restrictions of the PEMFC technologies. Therefore, the main aim of this work is to maintain the system operating point at an adequate and efficient power stage with high-performance tracking. To this end, a model predictive control (MPC) based on a global minimum cost function for a two-step horizon was designed and implemented in a boost converter integrated with a fuel cell system. An experimental comparative study has been investigated between the MPC and a PI controller to reveal the merits of the proposed technique. Comparative results have indicated that a reduction of 15.65% and 86.9%, respectively, in the overshoot and response time could be achieved using the suggested control structure.

show abstract

A Lyapunov function based model predictive control for three phase grid connected photovoltaic converters

Cited by 28 publications

References 44 publications

Grid‐connected photovoltaic inverters with low‐voltage ride through for a residential‐scale system: A review

Grid‐connected photovoltaic inverters with low‐voltage ride through for a residential‐scale system: A review

Repetitive Predictive Control for Current Control of Grid-Connected Inverter Under Distorted Voltage Conditions

High-Performance Tracking for Proton Exchange Membrane Fuel Cell System PEMFC Using Model Predictive Control

Contact Info

Product

Resources

About