Maximum Power Point Tracking Algorithms Under Partial Shading Condition

Sheliya Shabir; Satish Saini; Dharminder Kumar

doi:10.55524/ijircst.2022.10.4.19

Abstract

High and rising fuel consumption has occurred in past times. resulted in enormous growth in renewable energy generation and consumption. As economies Photovoltaic (PV) solar is becoming more popular as the world's interest in cleaner energy grows. is becoming a more viable option. PV energy harvesting and managing have numerous advantages, but it also has certain disadvantages, such as low energy conversion efficiency due to optical and electrical losses. Because of the random component associated with its genesis, the partial shading problem, the first of these losses is typically the most hardest to deal with. As a result, shading countermeasures exist as an important component of power converting units, so as to reduce negative influence over power efficiency extraction. Despite the fact that each of these processes has its own set of shortcomings, a large range of different techniques has been devised as well as evaluated in literature so far. We proposes a MATLAB simulation to investigate the efficiency of a set of numerous high power point tracking approaches over a large range of shading speeds, where PV array layout is created in three different settings under various partial shading conditions.

Keywords

Photovoltaic (PV), Maximum Power Point Tracking (Mppt), Deterministic Algorithms, Stochastic Algorithms

References

[1]. Chih-Chiang Hua and Yi-min Chen. Modified perturb and observe MPPT with zero oscillation in steady-state for PV systems under partial shaded conditions. In 2017 IEEE Conference on Energy Conversion (CENCON), pages 5–9. IEEE, oct 2017.

[2]. Fiseha Mekonnen Guangul and Girma T. Chala. Solar Energy as Renewable Energy Source: SWOT Analysis. In 2019 4th MEC International Conference on Big Data and Smart City (ICBDSC), pages 1–5. IEEE, jan 2019.

[3]. H. Patel and V. Agarwal. Maximum Power Point Tracking Scheme for PV Systems Operating Under Partially Shaded Conditions. IEEE Transactions on Industrial Electronics, 55(4):1689–1698, apr 2008.

[4]. M Praful Raj and Ann Mary Joshua. Modeling and performance analysis of perturb & observe, incremental conductance and fuzzy logic MPPT controllers. In 2017 International Conference on Advances in Electrical Technology for Green Energy (ICAETGT), pages 13–18. IEEE, sep 2017.

[5]. Mohammad Jobayer Hossain, Bibek Tiwari, and Indranil Bhattacharya. An adaptive step size incremental conductance method for faster maximum power point tracking. In 2016 IEEE 43rd Photovoltaic Specialists Conference (PVSC), pages 3230–3233. IEEE, jun 2016.

[6]. Mohammad Taghi Ameli, Saeid Moslehpour, and Mehdi Shamlo. Economical load distribution in power networks that include hybrid solar power plants. Electric Power Systems Research, 78(7):1147–1152, jul 2008.

[7]. Nabil Karami, Nazih Moubayed, and Rachid Outbib. General review and classification of different MPPT Techniques. Renewable and Sustainable Energy Reviews, 68:1–18, feb 2017.

[8]. Noppadol Khaehintung, Theerayod Wiangtong, and Phaophak Sirisuk. FPGA Implementation of MPPT Using Variable Step-Size P&O Algorithm for PV Applications. In 2006 International Symposium on Communications and Information Technologies, pages 212–215. IEEE, oct 2006.

[9]. Tiong Meng Chung Tiong Meng Chung, H. Daniyal, M.H. Sulaiman, and M.S. Bakar. Comparative study of P&O and modified incremental conductance algorithm in solar maximum power point tracking. In 4th IET Clean Energy and Technology Conference (CEAT 2016), pages 43 (6 .)–43 (6 .). Institution of Engineering and Technology, 2016.

[10]. Zhihang Wang, Anna Roffey, Raul Losantos, Anders Lennartson, Martyn Jevric, Anne U. Petersen, Maria Quant, Ambra Dreos, Xin Wen, Diego Sampedro, Karl Börjesson, and Kasper Moth-Poulsen. Macroscopic heat release in a molecular solar thermal energy storage system. Energy & Environmental Science, 12(1):187–193, jan 2019.

Cites this article as

[Sheliya Shabir, Satish Saini, Dharminder Kumar (2022), Maximum Power Point Tracking Algorithms Under Partial Shading Condition, International Journal of Innovative Research in Computer Science and Technology (IJIRCST), Vol-10, Issue-4, Page No-159-168], (ISSN 2347 - 5552). www.ijircst.org

Corresponding Author

Sheliya Shabir

M. Tech Scholar, Department of Electrical Engineering, RIMT University, Mandi Gobingarh, Punjab, India

Download Full Paper

Download PDF

No. of Downloads: 30 | No. of Views: 559

Smart Management Attendance System with Facial Recognition Using Computer Vision Techniques on the Raspberry Pi

Fadhillah Azmi, Amir Saleh, Achmad Ridwan.

January 2023 - Vol 11, Issue 1
Grid Interactive Solar Inverters and Their Impact on Power System

Mohammad Irfan Lone.

November 2022 - Vol 10, Issue 6
In-Depth Energy Analysis and Consumption Prediction of India

Mudasir Ahmad Wani, Er. Dharminder Kumar, Dr Satish Saini.

September 2022 - Vol 10, Issue 5

IJIRCST

Maximum Power Point Tracking Algorithms Under Partial Shading Condition

Citations

Download Full Paper PDF

Total View 559

Total Download 30