Comparison of INC and P&O Algorithms in Maximum Power Point Tracking Control of Independently PV System

Received: 20-05-2015

Accepted: 19-11-2015

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KỸ THUẬT VÀ CÔNG NGHỆ

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Ngu, N., Tam, L., Thuong, T., & Truong, N. (2024). Comparison of INC and P&O Algorithms in Maximum Power Point Tracking Control of Independently PV System. Vietnam Journal of Agricultural Sciences, 13(8), 1452–1463. http://testtapchi.vnua.edu.vn/index.php/vjasvn/article/view/234

Comparison of INC and P&O Algorithms in Maximum Power Point Tracking Control of Independently PV System

Nguyen Viet Ngu (*) 1 , Le Thi Minh Tam 1 , Tran Thi Thuong 1 , Nguyen Xuan Truong 2

  • 1 Khoa Điện - Điện tử, Trường Đại học Sư phạm kỹ thuật Hưng Yên
  • 2 Khoa Cơ - Điện, Học viện Nông nghiệp Việt Nam
  • Keywords

    Incremental Conductance algorithm (INC), Maximum Power Point Tracking (MPPT); Perturb and Observer algorithm (P&O); Photovoltaics (PV)

    Abstract


    Solar energy is clean and free of cost and does not pollute the environment. The research of solar energy systems plays a very important role that contributes to fully exploit the natural energy resources while traditional energy sources become scare. Maximum Power Point Tracker (MPPT) control for Solar panels considered as an indispensable part of the solar power system is applied in order to improve the efficiency of solar panels. This paper described and compaired Perturb and Observer (P&O) and Incremental Conductance (INC) algorithms that were used to implement for Maximum Power Point control of Solar panels. Simulation results showed that INC algorithm had a better effect than P&O algorithm did.

    References

    Akihiro.Oi (2005). Design and Simulation of Photovoltaic Water Pumping System, Electrical Engineering, Master of Science in Electrical Engineering. San Luis Obispo: California Polytechnic State University, p. 113.

    Ali Reza Reisi, Mohammad Hassan Moradi, Shahriar Jamasb (2013). Classification and comparison of maximum power point tracking techniques for photovoltaic system, pp. 433-443.

    Chandani Sharma, Anamika Jain (2014). Solar Panel Mathemaical Modeling Using Simulink, Journal of Enginering Research and Applications, ISSN: 2248-9622, 4(5): 67-72.

    Hairul Nissah Zainudin, Saad Mekhile (2010). Comparison Study of Maximum Power Point Tracker techniques for PV Systems”, Proceeding of the 14 International Middle East Power Systems Conference, Cairo University, Egypt, December 19-21, paper ID 278.

    Hohm D.P. and M.E.Ropp (2003). Comparative Study of Maximum Power point tracking algorithms, Progress in photovoltaic, research and application, pp. 47-62

    Hohm D.P (2000). Comparative study of maximum power point tracking algorithms using an experimental, programmable, maximum power point tracking test bed, pp. 1699-1702, ISSN: 0160-8371.

    Nguyen Viet Ngu, Wang Hong-hua, Nguyen Xuan Truong, Vo Van Nam, Le Thi Minh Tam (2011). Simulation of Maximum Power point tracking for solar cells based on fuzzy control, Journal of Science and Development, 9(2): 278-285.

    Sivagamasundari M.S., Dr.P. MelbaMary, V.K. Velvizhi (2013). Maximum power point tracking for photovoltaic system by perturb and observe method using buck boost converter, International Journal of Advanced research in electrical, Electronics and Instrumentation Engineering, 2(6), ISSN: 2278-8875.

    Vikrant.A.Chaudhari (2005). Automatic Peak Power Traker for Solar PV Modules Using dSpacer Software.,Maulana Azad National Institute Of Technology Vol. Degree of Master of Technology, Energy. Bhopal: Deemed University, p. 9.