String level optimisation on grid‐tied solar PV systems to reduce partial shading loss

2017 ◽  
Vol 12 (2) ◽  
pp. 143-148 ◽  
Author(s):  
Ahsan Sarwar Rana ◽  
Mashood Nasir ◽  
Hassan Abbas Khan
Keyword(s):  
Solar Pv ◽  
Electronics ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 1121
Author(s):  
Kamran Ali Khan Niazi ◽  
Yongheng Yang ◽  
Tamas Kerekes ◽  
Dezso Sera

A reconfiguration technique using a switched-capacitor (SC)-based voltage equalizer differential power processing (DPP) concept is proposed in this paper for photovoltaic (PV) systems at a cell/subpanel/panel-level. The proposed active diffusion charge redistribution (ADCR) architecture increases the energy yield during mismatch and adds a voltage boosting capability to the PV system under no mismatch by connected the available PV cells/panels in series. The technique performs a reconfiguration by measuring the PV cell/panel voltages and their irradiances. The power balancing is achieved by charge redistribution through SC under mismatch conditions, e.g., partial shading. Moreover, PV cells/panels remain in series under no mismatch. Overall, this paper analyzes, simulates, and evaluates the effectiveness of the proposed DPP architecture through a simulation-based model prepared in PSIM. Additionally, the effectiveness is also demonstrated by comparing it with existing conventional DPP and traditional bypass diode architecture.


Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2308
Author(s):  
Kamran Ali Khan Niazi ◽  
Yongheng Yang ◽  
Tamas Kerekes ◽  
Dezso Sera

Partial shading affects the energy harvested from photovoltaic (PV) modules, leading to a mismatch in PV systems and causing energy losses. For this purpose, differential power processing (DPP) converters are the emerging power electronic-based topologies used to address the mismatch issues. Normally, PV modules are connected in series and DPP converters are used to extract the power from these PV modules by only processing the fraction of power called mismatched power. In this work, a switched-capacitor-inductor (SCL)-based DPP converter is presented, which mitigates the non-ideal conditions in solar PV systems. A proposed SCL-based DPP technique utilizes a simple control strategy to extract the maximum power from the partially shaded PV modules by only processing a fraction of the power. Furthermore, an operational principle and loss analysis for the proposed converter is presented. The proposed topology is examined and compared with the traditional bypass diode technique through simulations and experimental tests. The efficiency of the proposed DPP is validated by the experiment and simulation. The results demonstrate the performance in terms of higher energy yield without bypassing the low-producing PV module by using a simple control. The results indicate that achieved efficiency is higher than 98% under severe mismatch (higher than 50%).


IJOSTHE ◽  
2019 ◽  
Vol 5 (6) ◽  
pp. 5
Author(s):  
Neha Singh ◽  
Prof. Govind Prasad Pandiya

Solar energy is one of the most used and readily available renewable energy sources among the other energy sources. The power generated by PV systems is dependent on solar irradiance and temperature parameters. In the literature, many researchers and studies are interested in estimating true maximum efficiency point for the PV systems. Due to that fact, MPPT applications and techniques become an important issue for PV systems under both uniform and non uniform conditions. Although, PV system under uniform environment has only one maxima point on P-V curve which is simple to estimate correctly by conventional MPPT techniques, it is not as simple as under non-uniform condition such as partial shading and mismatch effects. To overcome the drawbacks of the conventional MPPTs under non uniform condition, researchers has been investigated new soft computing MPPTs, PV array configurations, system architectures and topologies.


IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Rupendra Kumar Pachauri ◽  
Isha Kansal ◽  
Thanikanti Sudhakar Babu ◽  
Hassan Haes Alhelou

This paper presents a thorough audit on various techniques of Photovoltaic (PV) framework under Partial Shading Conditions (PSC) which improves the yield voltage and power. Various productions report on PV with respect to control upgrades and its execution. In any case, perplexity emerges while choosing an approach that performs under every climatic circumstance. In this way, a fundamental audit of PSC systems is considered, which depends on most extreme power point following (MPPT) at Standard Test Conditions (STC). These MPPT strategies can follow the Global Peak (GP) at PSC. Broad research has been investigated in this field and numerous systems have been accounted for. In this paper, a point by point portrayal and order on various procedures of PV at PSC have been made as far as control factors, structure and hardware utilized in down to earth and business applications. Incomplete Shading is a significant test in photovoltaic (PV) frameworks which influences the quality and amount of the output power. The ordinary change of condition and the diminished profitability of PV Array is a significant obstruction in the brisk advancement of the sunlight based power age. A Solar PV system involves PV cluster connected with an Inverter through a dc-dc converter and the yield of the Inverter is associated with the heap. In any case, expansion to PV modules, and exhibit design, control electronic converters are in like manner fundamental parts for a sun oriented based power generation. It is basic to fathom the effect of fractional concealing to make compelling and strong Photovoltaic vitality transformation structure. PV exhibit course of action, converter arrangement and MPPT control strategy are the three basic districts where the vitality extraction from PV bunch can be improved under incomplete concealed condition. A point by point assessment study is coordinated among central and Micro-Inverter based PV systems and particular MPPT control techniques were pondered and considered under fractional concealed condition using MATLAB/Simulink.


Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4086
Author(s):  
Timmidi Nagadurga ◽  
Pasumarthi Venkata Ramana Lakshmi Narasimham ◽  
V. S. Vakula ◽  
Ramesh Devarapalli ◽  
Fausto Pedro García Márquez

This paper proposes the application of a metaheuristic algorithm inspired by the social behavior of chimps in nature, called Chimp Optimization Algorithm (ChOA), for the maximum power point tracking of solar photovoltaic (PV) strings. In this algorithm, the chimps hunting process is mathematically articulated, and new mechanisms are designed to perform the exploration and exploitation. To evaluate the ChOA, it is applied to some fixed dimension benchmark functions and engineering problem application of tracking maximum power from solar PV systems under partial shading conditions. Partial shading condition is a common problem that appears in the solar PV modules installed in domestic areas. This shading alters the power developed by the solar PV panel, and exhibits multiple peaks on the power variation with voltage (P-V) characteristic curve. The dynamics of the solar PV system have been considered, and the mathematical model of a single objective function has been framed for tuning the optimal control parameter with the suggested algorithm. Implementing various practical shading patterns of solar PV systems with the ChOA algorithm has shown improved solar power point tracking performance compared to other algorithms in the literature.


Photovoltaic (PV) systems are the most popular electric power generation systems for domestic as well as industrial applications because of its sustainability and excess availability in nature. Under Partial Shading Condition (PSC), the nonlinear characteristics of solar PV consist of multiple local Maximum Power Points (MPPs) and one global MPP. Hence, it is difficult to operate the operating point of the solar PV closer to true MPP. There are different tracking methods available for MPP Tracking in the literature. The classical Maximum Power Point Tracking (MPPT) methods are not suitable under partial shading conditions because the operating point of PV may settle down to any one of the local MPP. Also, these methods failed to mitigate the oscillations across the operating point of solar PV. The recently developed evolutionary based MPPT techniques are becoming more prominent in order to avoid the drawbacks of classical MPP techniques. In this article, different types of MPPT techniques such as evolutionary, metaphor-metaheuristic and hybrid MPPT techniques are discussed in detail along with their advantages and disadvantages. The comparative analysis is carried out by considering the parameters such as tracking speed, oscillation across MPP, settling time, implementation complexity and efficiency


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