Online fractional open‐circuit voltage maximum output power algorithm for photovoltaic modules

Nadeem, Ahsan; Sher, Hadeed Ahmed; Murtaza, Ali Faisal

doi:10.1049/iet-rpg.2019.0171

Cited by 36 publications

(17 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, it is expected that the traditional P&O will not be capable of extracting the global maximum all the time. In this regard, the studied methods can successfully track the highest peak if this peak is the last one [14]. This case is clarified in Fig.…”

Section: Performance Of the Proposed Mppt Under Partial Shading Condi...mentioning

confidence: 73%

“…Modelbased MPPT algorithms are also discussed in the literature, such as the fractional open-circuit voltage method, and fractional short-circuit current [13]. In this regard, online estimation for the open-circuit voltage or the short-circuit current can be implemented to decrease the power loss in the conventional methods [14]. Furthermore, hybrid techniques, where a combination of two methods can be utilized.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Model-Based Maximum Power Point Tracking Algorithm With Constant Power Generation Capability and Fast DC-Link Dynamics for Two-Stage PV Systems

et al. 2022

View full text Add to dashboard Cite

In this paper, a model-based maximum power point tracking (MPPT) technique is presented for a two-stage grid-connected photovoltaic (PV) system, where the loci of the maximum power points (MPPs) is specified accurately based on a new formulation. In this formulation, the effect of both irradiance and temperature is taken into consideration, whereas the irradiance is estimated to reduce the cost of the system and enhance its reliability. Furthermore, constant power generation (CPG) is integrated with the developed MPPT method to facilitate other power regulation schemes in the PV system. The proposed methodology is compared with the well-known perturb and observe (P&O) method for evaluation. Additionally, a modified version of the P&O is included in the comparison for better assessment. The effect of different partial shading conditions on the system's performance is also investigated. The DClink PI controller is replaced with a new adaptive DC-link controller to enhance the transient behavior of the PV system. Moreover, the suggested DC-link controller removes the DC offsets, which appear in case of gradient increase or decrease in the input PV power. In contrast to the conventional PI controller, which has poor performance at such circumstances. The active and reactive power exchange with the grid is managed using a computationally efficient finite-set model predictive control (FS-MPC) algorithm. Furthermore, switching frequency minimization is added as a secondary objective using a weighting factorless procedure. The grid-voltage sensors are eliminated and estimated using an extended Kalman filter (EKF). The overall control strategy is evaluated using experimental implementation, hardware-in-the-loop (HIL), and matlab/simulink.

show abstract

Section: Performance Of the Proposed Mppt Under Partial Shading Condi...mentioning

confidence: 73%

Section: Introductionmentioning

confidence: 99%

Model-Based Maximum Power Point Tracking Algorithm With Constant Power Generation Capability and Fast DC-Link Dynamics for Two-Stage PV Systems

et al. 2022

View full text Add to dashboard Cite

show abstract

“…As a result, an MPP tracker is necessary to ensure that the MPP remains operational regardless of the weather conditions. In the previous two decades, a significant amount of the literature has been documenting the various types of MPPT algorithms utilized in optimizing the energy of PV arrays, including traditional techniques such as perturb and observe [5], hill-climbing [6] and incremental conductance [7], fractional open-circuit voltage [8], and fractional short-circuit current [9]. However, due to partial shading, these may just be stuck in one of the local maxima and fail to track the MPP.…”

Section: Introductionmentioning

confidence: 99%

African Vulture Optimization Algorithm-Based PI Controllers for Performance Enhancement of Hybrid Renewable-Energy Systems

et al. 2022

View full text Add to dashboard Cite

An effective maximum power point tracking (MPPT) technique plays a crucial role in improving the efficiency and performance of grid-connected renewable energy sources (RESs). This paper uses the African Vulture Optimization Algorithm (AVOA), a metaheuristic technique inspired by nature, to tune the proportional–integral (PI)-based MPPT controllers for hybrid RESs of solar photovoltaic (PV) and wind systems, as well as the PI controllers in a storage system that are used to smooth the output fluctuations of those RESs in a hybrid system. The performance of the AVOA is compared with that of the widely used the particle swarm optimization (PSO) technique, which is commonly acknowledged as the foundation of swarm intelligence. As a result, this technique is introduced in this study to draw a comparison. It is observed that the proposed algorithm outperformed the PSO algorithm in terms of the tracking speed, robustness, and best convergence to the minimum value. A MATLAB/Simulink model was built, and optimization and simulation for the proposed system were carried out to verify the introduced algorithms. In conclusion, the optimization and simulation results showed that the AVOA is a promising method for solving a variety of engineering problems.

show abstract

“…However, these techniques have serious problems that reduce their tracking performance. For that reason, many improved versions of algorithms based on the aforementioned traditional direct methods are suggested [11][12][13][14][15][16] including indirect MPPT schemes, such as fractional open-circuit voltage (FOCV) [17] and short-circuit current (FSCC) [18]; intelligent techniques MPPT schemes include fuzzy logic controller (FLC) [19,20], partial swarm optimization (PSO) [21,22], firefly algorithm (FA) [23], ant colony optimization (ACO) [24], neural network algorithm (NNA) [24], hybrid adaptive neurofuzzy inference system flower pollination algorithm (ANFIS-FPA) [25], and hybrid adaptive neurofuzzy inference system (ANFIS) and artificial bee colony (ABC) algorithm [26]. These MPPT schemes differ in some factors, such as fluctuations in steady-state operation, convergence speed, especially under fast irradiation or temperature change, complexity, required sensors, time response, and tracking of the real MPP at partial shading effect [2].…”

Section: Introductionmentioning

confidence: 99%

An Advanced MPPT Scheme for PV Systems Application with Less Output Ripple Magnitude of the Boost Converter

Chellakhi

Beid

Abouelmahjoub

2022

International Journal of Photoenergy

View full text Add to dashboard Cite

The purpose of this paper is to enhance the performance and tracking efficiency of solar photovoltaic systems. This aim can be achieved by operating the photovoltaic array at its optimum power and reducing the output ripple problem of DC-DC converters that affect and stress sensible electronic loads. In view of that, an advanced maximum power point (MPP) tracking (MPPT) scheme, which can guarantee zero oscillation tracking of the accessible MPP and less ripple magnitude on the output side of the DC-DC boost converter, is used. Various simulations are carried out under three conditions of solar irradiance variation, namely, standard test conditions (STC), rapid, and Sin scenarios, using the MATLAB/Simulink® environment, to assess and benchmark the robustness of the tracking of the new MPPT scheme over the celebrated Increment of Conductance (INC) MPPT scheme. Based on the simulation results, the proposed scheme can significantly improve tracking accuracy and reduce the magnitude of ripples on both sides of the boost converter compared to the INC scheme. Certainly, the proposed scheme can provide a shorter time response (0.011 seconds) to locate and track the expected MPP, which is 2.55 times less than that of the INC scheme; a zero power magnitude oscillation instead of 15.9 watts of the INC scheme; and six-time minimization of the magnitude of output voltage ripples compared to the INC scheme. Furthermore, the suggested MPPT scheme has the better tracking efficiency in all scenarios; 99.86%, 99.60%, and 99.62% in the STC, rapid, and Sin scenarios, respectively, with an average value of 99.69% compared to the INC MPPT scheme, which has 94.23%, 95.28%, and 97.87% in the STC, rapid, and Sin scenarios, respectively, with a moderate average tracking efficiency of 95.79%. Finally, the accuracy and tracking performance of the proposed MPPT scheme are verified by real-time examination using the RT-LAB simulator. According to the results obtained, the proposed scheme provides the highest tracking efficiency of 99.80% and 97.77% under the STC and sudden insolation change scenarios, respectively, compared to the INC scheme, which shows, respectively, 97.8% and 96.5% under both scenarios.

show abstract

Online fractional open‐circuit voltage maximum output power algorithm for photovoltaic modules

Cited by 36 publications

References 27 publications

Model-Based Maximum Power Point Tracking Algorithm With Constant Power Generation Capability and Fast DC-Link Dynamics for Two-Stage PV Systems

Model-Based Maximum Power Point Tracking Algorithm With Constant Power Generation Capability and Fast DC-Link Dynamics for Two-Stage PV Systems

African Vulture Optimization Algorithm-Based PI Controllers for Performance Enhancement of Hybrid Renewable-Energy Systems

An Advanced MPPT Scheme for PV Systems Application with Less Output Ripple Magnitude of the Boost Converter

Contact Info

Product

Resources

About