Duty-Cycle Predictive Control of Quasi-Z-Source Modular Cascaded Converter Based Photovoltaic Power System

Guo, Yingjun; Sun, Haiyan; Zhang, Yi; Liu, Yushan; Li, Xiao; Xue, Yaosuo

doi:10.1109/access.2020.3024935

Cited by 13 publications

(7 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Basically, the number is limited by the number of possible states of the constant power supply, that from the status of the power converter operation, in which the above process allows to predict the next time status [26]. The predicted values calculated the state of the correct switching action and was selected by the cost function [27]. The control technique can be summarized as follows: The purpose of MPC is to limit the error between the measured current and the reference current.…”

Section: Mppt and Inverter Designmentioning

confidence: 99%

A Modified-Simplified MPPT Technique for Three-Phase Single-State Grid-Connected PV Systems

Aurairat¹,

Plangklang²

2022

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

Nowadays, the single state inverter for the grid-connected photovoltaic (PV) systems is becoming more and more popular as they can reduce circuit complexity resulting in less power losses of the inverter. This paper focuses on the use of model predictive control (MPC) to control a 3-phase and 2-level single-state grid-connected inverter in order to regulate the PV maximum power point (MPP). The algorithm of MPC scheme was done to measure the simultaneous current signal including predicting the next sampling current flow. The reference current (I d * ) was used to control the distribution of electrical power from the solar cell to the grid. To be able to control the maximum power point tracking (MPPT) when the sunlight suddenly changes, so that a developing MPPT based on estimation current perturbation and observation (ECP&O-MPPT) technique was used to control the reference current. This concept was experimented by using MATLAB/Simulink software package. The proposed technique was tested and compared with the old technique. The simulation results showed that the developed MPPT technique can track the MPP faster when the light changes rapidly under 1,000 W/m 2 , 25°C standard climatic conditions. The MPPT time was 0.015 s. The total harmonic distortion (THD) was 2.17% and the power factor was 1.

show abstract

Section: Mppt and Inverter Designmentioning

confidence: 99%

A Modified-Simplified MPPT Technique for Three-Phase Single-State Grid-Connected PV Systems

Aurairat¹,

Plangklang²

2022

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

show abstract

“…The step size in all of these algorithms is constant, and its precise determination is important, because the small size of the step decreases the speed of the MPP tracking, and its large size increases the oscillations around the MPP. To solve this problem, the authors implemented many ideas by modifying common algorithms [18][19][20], for example, the developed P&O algorithm [21] and the modified InC method [22], the self-adaptive incremental conductance algorithm [23], the low-cost improved incremental conductance algorithm [17], etc. In all of these methods, by improving the performance of the system under steady-state conditions, the performance of the system under dynamic conditions is reduced.…”

Section: Introductionmentioning

confidence: 99%

Improvement of Self-Predictive Incremental Conductance Algorithm with the Ability to Detect Dynamic Conditions

et al. 2021

View full text Add to dashboard Cite

This paper presents a new version of the incremental conductance algorithm for more accurate tracking of the maximum power point (MPP). The modified algorithm is called self-predictive incremental conductance (SPInC), and it recognizes the operational region. It is capable of detecting dynamic conditions, and it detects sudden changes in power resulting from changes in the intensity of radiation or temperature. By selecting the appropriate step size, it obtains maximum power from the panel at any moment. The improved algorithm reduces output power ripple and increases the efficiency of the system by detecting the operating area and selecting the appropriate step size for each region. The SPInC algorithm divides the system’s work areas into three operating zones. It calculates the size of the appropriate step changes for each region after identifying the regions, which allows for more accurate tracking of the MPP and increases the system efficiency at a speed equal to the speed of the conventional method. These additional operations did not result in a system slowdown in the tracking maximum power. According to the MATLAB/Simulink simulation results, the SPInC algorithm is more efficient than conventional InC, and the ripple output power is reduced. SPInC is also compared to the improved perturb and observe (P&O) algorithm. In general, SPInC can compete with the popular algorithms that have been recently proposed for MPPT in the other researches.

show abstract

“…In the former approach, the PV system is optimized by choosing either a distributed power VOLUME 4, 2016 conversion stage or a centralized power converter. Several methods of distributed MPPT are utilised in [6], [7], where separate converters are proposed for each PV module. But this increases the system cost and leads to coordinationrelated-reliability concerns, making the overall system complex.…”

Section: Introductionmentioning

confidence: 99%

“…The last class of GMPPT includes control-based methods such as constant input power control [40], but this method suffers from power loss due to a low voltage operation when power command exceeds the instantaneous system availability. Second such method is introduced in [6] where proportional-integral (PI) controllers are used in each distributed inverter to track individual peaks of each PV module, leading to increased component count and reliability issues.…”

Section: Introductionmentioning

confidence: 99%

Optimized Global Maximum Power Point Tracking of Photovoltaic Systems Based on Rectangular Power Comparison

Bharadwaj

2021

IEEE Access

View full text Add to dashboard Cite

Global maximum power point tracking (GMPPT) refers to the extraction of the maximum power from photovoltaic (PV) modules in real time under changing ambient conditions. Due to the installation of PV systems in densely built-up areas, partial shading scenarios are commonplace. Commercially established GMPPTs suffer from low tracking speeds and inefficiency. A novel GMPPT algorithm is proposed here based on the rectangular power comparison (RPC), which exploits the fundamental relationship between the shading factor, the bypass diode voltage and the global maximum power point. The entire theoretical formulation of RPC is presented systematically for the first time. This method boasts of increased conversion speeds owing to the precomputation of the module voltage versus the shading factor correlations using the regression of diode model from the experimentally obtained bypass diode characteristics. The proposed method is simple to implement with the computational complexity of order n, which represents the number of uniquely shaded PV modules in a series string. The proposed approach addresses the much-needed intersection problem between the distributed and centralized PV systems and therefore targets PV strings which are most common in residential and small to medium scale commercial PV installations world over. The proposed approach is validated with the in-house developed prototype hardware set-up and software control implementation giving a 99% tracking efficiency with a recorded tracking time of 10 ms. The experimental results show 50 times improvement in speed and 95% increase in power gain as compared to the other popular existing methods namely scanning based GMPPT and local MPPT methods respectively, with negligible computational burden and less than 0.5% added cost to the conventional PV energy conversion system. INDEX TERMS Efficiency optimization, Global maximum power point tracking, Partial shading, Photovoltaic module measurements and Solar energy conversion.

show abstract

Duty-Cycle Predictive Control of Quasi-Z-Source Modular Cascaded Converter Based Photovoltaic Power System

Cited by 13 publications

References 48 publications

A Modified-Simplified MPPT Technique for Three-Phase Single-State Grid-Connected PV Systems

A Modified-Simplified MPPT Technique for Three-Phase Single-State Grid-Connected PV Systems

Improvement of Self-Predictive Incremental Conductance Algorithm with the Ability to Detect Dynamic Conditions

Optimized Global Maximum Power Point Tracking of Photovoltaic Systems Based on Rectangular Power Comparison

Contact Info

Product

Resources

About