scholarly journals A Novel MPPT Technique Based on Mutual Coordination between Two PV Modules/Arrays

Energies ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 6996
Author(s):  
Ali Faisal Murtaza ◽  
Hadeed Ahmed Sher ◽  
Filippo Spertino ◽  
Alessandro Ciocia ◽  
Abdullah M. Noman ◽  
...  
Keyword(s):  
Weather Conditions ◽  
Fast Response ◽  
Graphical Analysis ◽  
Superior Performance ◽  
Pv Systems ◽  
Point Tracking ◽  
Perturb And Observe ◽  
Pv Modules ◽  
Power Point ◽  
Stage 1

A novel maximum power point tracking (MPPT) technique based on mutual coordination of two photovoltaic (PV) modules/arrays has been proposed for distributed PV (DPV) systems. The proposed technique works in two stages. Under non-mismatch conditions between PV modules/arrays, superior performance stage 1 is active, which rectifies the issues inherited by the perturb and observe (P&O) MPPT. In this stage, the technique revolves around the perturb and observe (P&O) algorithm containing an intelligent mechanism of leader and follower between two arrays. In shading conditions, stage 2 is on, and it works like conventional P&O. Graphical analysis of the proposed technique has been presented under different weather conditions. Simulations of different algorithms have been performed in Matlab/Simulink. Simulation results of the proposed technique compliment the graphical analysis and show a superior performance and a fast response as compared to others, thus increasing the efficiency of distributed PV systems.

Research on MPPT of PV Systems Based on BP Neural Network

2012 ◽  
Vol 466-467 ◽  
pp. 930-934
Author(s):  
Wen Ying Chen ◽  
Yong Jun Lin ◽  
Wei Liang Liu ◽  
Shuang Sai Liu
Keyword(s):  
Control Structure ◽  
Maximum Power ◽  
Solar Irradiation ◽  
Maximum Power Point ◽  
Hardware Platform ◽  
Pv Systems ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Perturb And Observe ◽  
Power Point

In order to obtain more output power of photovoltaic (PV) array, which depends on solar irradiation and ambient temperature, maximum power point tracking (MPPT) techniques are employed. Among all the MPPT strategies, the Perturb and Observe (P&O) algorithm is more attractive due to the simple control structure. Nevertheless, steady-state oscillations always appear due to the perturbation. In this paper, a new MPPT method based on BP Neural Networks and P&O is proposed for searching maximum power point (MPP) fast and exactly, and its effectiveness is validated by experimental results using hardware platform based on microcomputer.

Novel MPPT Schemes with Direct Duty Ratio Perturbation for Solar PV Systems

2012 ◽  
Vol 622-623 ◽  
pp. 1039-1047
Author(s):  
P. Venkata Sriram ◽  
Bhattacharya Swagnik
Keyword(s):  
Research Work ◽  
Standard Test ◽  
Duty Ratio ◽  
Solar Pv ◽  
Pv Systems ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Perturb And Observe ◽  
Direct Duty ◽  
Power Point

The Maximum Power Point Tracking (MPPT) is a very important function in a Solar Photovoltaic (SPV) system. While previous research has been focussed on optimizing the performance of the MPPT, there is further scope to improve upon the MPPT efficiency without compromising on the complexity of the MPPT technique in terms of the algorithm and hardware requirements. The research work presented in this paper aims to address this gap. The paper presents two novel MPPT schemes which are the proposed Perturb and Observe (P&O) and proposed Incremental Conductance (IC) methods based on two-step control and direct duty ratio perturbation. The proposed techniques are efficient, computationally less complex and hardware minimal than previous study in this field. For verification, simulation has been performed for extensive irradiation profiles of Standard Test Conditions (STC), rapidly changing and gradually changing insolation conditions which are representative of the boundary cases. Results of the proposed MPPT methods are compared with that of conventional MPPT methods. The results show that proposed MPPT schemes have excellent tracking efficiency and dynamic response with respect to previous research.

scholarly journals Comparison between P&O and SSO techniques based MPPT algorithm for photovoltaic systems

2022 ◽  
Vol 12 (1) ◽  
pp. 32
Author(s):  
Mohamed Hussein Mohamedy Ali ◽  
Mahmoud Mohammed Sayed Mohamed ◽  
Ninet Mohamed Ahmed ◽  
Mohamed Bayoumy Abdelkader Zahran
Keyword(s):  
Search Time ◽  
Weather Conditions ◽  
Maximum Power ◽  
Solar Photovoltaic ◽  
Maximum Power Point ◽  
Pv Systems ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Optimal Power ◽  
Power Point

Solar photovoltaic (SPV) systems are a renewable source of energy that are environmentally friendly and recyclable nature. When the solar panel is connected directly to the load, the power delivered to the load is not the optimal power. It is therefore important to obtain maximum power from SPV systems for enhancing efficiency. Various maximum power point tracking (MPPT) techniques of SPV systems were proposed. Traditional MPPT techniques are commonly limited to uniform weather conditions. This paper presents a study of MPPT for photovoltaic (PV) systems. The study includes a discussion of different MPPT techniques and performs comparison for the performance of the two MPPT techniques, the P&O algorithm, and salp swarm optimization (SSO) algorithm. MATLAB simulations are performed under step changes in irradiation. The results of SSO show that the search time of maximum power point (MPP) is significantly decreased and the MPP is obtained in the shortest time with high accuracy and minimum oscillations in the generated power when compared with P&O.

scholarly journals Grid connected photovoltaic system efficiency and quality improvement using fuzzy-incond MPPT

2020 ◽  
Vol 11 (3) ◽  
pp. 1536
Author(s):  
Amara Yasmine ◽  
Bradai Rafik ◽  
Boukenoui Rachid ◽  
Mellit Adel
Keyword(s):  
Weather Conditions ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Perturb And Observe ◽  
Power Point ◽  
Improved Technique ◽  
Tracking Response

Maximum Power Point Tracking (MPPT) techniques are developed to harvest and supply maximum power to the load. This depends on the power generated and the MPPT accuracy. Under quick-changing weather conditions, Incremental Conductance (InCond) and numerous different algorithms may fail to track the exact Maximum Power Point (MPP) which may result in significant power loss. Fuzzy Logic (FL) based MPPT is quick and accurate in tracking the MPP, but the high complexity and the implementation difficulty are their main disadvantages. A novel FL-InCond MPPT improved technique is developed based on the features of InCond and FL techniques to overcome their drawbacks.The newly developed approach can automatically adjust the variation of the duty cycle for tracking the MPP with accuracy. The obtained results are compared with conventional Perturb and observe (P&O) and InCond MPPTs for grid-connected mode under fast weather conditions. It is demonstrated that the developed method outperforms the aforementioned MPPT techniques in terms of tracking response, efficiency and the delivered current quality.

scholarly journals BICO MPPT: A Faster Maximum Power Point Tracker and Its Application for Photovoltaic Panels

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Hadi Malek ◽  
YangQuan Chen
Keyword(s):  
Weather Conditions ◽  
Maximum Power ◽  
Extremum Seeking ◽  
Maximum Power Point ◽  
Pv Systems ◽  
Pv Array ◽  
Point Tracking ◽  
Transient Rise ◽  
Power Point ◽  
Array Performance

This paper develops a maximum power point tracking (MPPT) algorithm to optimize photovoltaic (PV) array performance and make it more compatible to rapidly varying weather conditions. In particular, a novel extremum seeking controller (ESC), which uses a Bode ideal cutoff (BICO) filter in its structure, is designed and tested on a simulated PV array. The new algorithm is compared against the commonly used ESC MPPT algorithm with first-order filters. The BICO extremum seeking controller achieves transient rise to the MPP faster than the common extremum seeking MPPT, which is the faster and more robust method among all other methods. This claim has been discussed and proved mathematically in this paper, in addition to simulation illustrations. This faster extremum seeking algorithm enables PV systems to detect rapid variations in the environmental conditions like irradiation and temperature changes.

scholarly journals A Review and New Problems Discovery of Four Simple Decentralized Maximum Power Point Tracking Algorithms—Perturb and Observe, Incremental Conductance, Golden Section Search, and Newton’s Quadratic Interpolation

Energies ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 2966 ◽  
Author(s):  
Victor Andrean ◽  
Pei Chang ◽  
Kuo Lian
Keyword(s):  
Golden Section ◽  
Maximum Power Point ◽  
Pv Systems ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Golden Section Search ◽  
Incremental Conductance ◽  
Quadratic Interpolation ◽  
Perturb And Observe ◽  
Power Point

Maximum Power Point Tracking (MPPT) enables photovoltaic (PV) systems to extract as much solar energy as possible. Depending on which type of controller is used, PV systems can be classified as centralized MPPT (CMPPT) or decentralized MPPT (DMPPT). In substring-level systems, it is known that the energy yield of DMPPT can outweigh the power electronics cost. At the substring level, it is usually assumed that the PV curve exhibits a single peak, even under partial shading. Thus, the control algorithms for DMPPT are usually less complicated than those employed in CMPPT systems. This paper provides a comprehensive review of four simple DMPPT algorithms, which are perturb and observe (P&O), incremental conductance (INC), golden section search (GSS), and Newton’s quadratic interpolation (NQI). The comparison of these algorithms are done from the perspective of numerical analysis. Guidelines on how to set initial conditions and convergence criteria are thoroughly explained. This is of great interest to PV engineers when selecting algorithms for use in MPPT implementations. In addition, various problems that have never previously been identified before are highlighted and discussed. For instance, the problems of NQI trap is identified and methods on how to mitigate it are also discussed. All the algorithms are tested under various conditions including static, dynamic, and rapid changes of irradiance. Both simulation and experimental results indicate that P&O and INC are the best algorithms for DMPPT.

scholarly journals Hybrid Energy System with MPPT Techniques: A Review

2020 ◽  
Vol 6 (7) ◽  
pp. 20-23
Author(s):  
Suraj Kumar ◽  
Varsha Mehar
Keyword(s):  
Energy System ◽  
Fast Response ◽  
Tracking Accuracy ◽  
Maximum Power Point ◽  
Hybrid Energy ◽  
Pv Systems ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Design Requirements ◽  
Power Point

The efficient use of energy produced from renewable energies is more important in this scenario. This document provides a detailed overview of the hybrid power system (HPS) with solar and MPPT controls. An autonomous solar system is the best choice for a rural area to provide uninterrupted energy. MPPT (Maximum Power Point Tracking) is generally used in photovoltaic (PV) systems to maximize the output power of photovoltaic panels regardless of climate change. Fast response and high tracking accuracy are two essential design requirements for MPPT control.

scholarly journals Efficient Perturb and Observe Algorithm for Photovoltaic Maximum Power Point Tracking and Drift Avoidance using SEPIC Converter

2019 ◽  
Vol 8 (10) ◽  
pp. 693-696
Keyword(s):  
Maximum Power Point Tracking ◽  
Sudden Change ◽  
Maximum Power ◽  
Atmospheric Conditions ◽  
Maximum Power Point ◽  
Pv Systems ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Perturb And Observe ◽  
Power Point

Maximum power point tracking is a commonly used technique for extracting maximum possible power from solar photovoltaic (PV) systems under all conditions. Various methods used for implementation of MPPT algorithm, out of those methods, perturb and observe (P&O) is very popular and commonly using method owing to its simplicity, easy implementation and highly efficient nature. However, P&O algorithm has disadvantage that it suffers from drift phenomenon in which during sudden change in atmospheric conditions, the algorithm drifts away from the maximum power point (MPP). This paper proposes modifications in the conventional P&O algorithm to overcome the drifting of MPP during suddenly changing atmospheric conditions. This algorithm takes change in current into consideration along with change in voltage and power and is verified using MATLAB/Simulink. DC/DC control is achieved using SEPIC converter and simulation results of the proposed algorithm show that the system can track the MPP in transient whether conditions and drifting is avoided

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