Tracking Maximum Power Point For Photovoltaic System Using A Novel Differential Particle Swarm Optimization

Van Huong Dong, Thi Thom Hoang Hoang and Thanh Cong Pham
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Van Huong Dong: Ho Chi Minh City University of Transport, Ho Chi Minh city, VietnamAuthor-Name: Khai Hoan Nhu
Thi Thom Hoang Hoang: Nha Trang University, Khanh Hoa, Vietnam
Thanh Cong Pham: Ho Chi Minh City University of Food Industry, Ho Chi Minh city, Vietnam

Journal of Mechanical Engineering Research & Developments (JMERD), 2018, vol. 41, issue 4, 116-121

Abstract: In this paper, a new differential particle swarm optimization (DPSO) method is investigated for tracking the maximum power point (MPP) for the photovoltaic (PV) system in order to enhance the operating efficiency of the PV system. The DPSO-based MPPT method is not only able to tract the MPP using few iterations, but also avoids the steady-state oscillation phenomenon. Moreover, the proposed method is capable for extracting the optimization power under varyingtemperature condition as well as large fluctuations of irradiation. To demonstrate the effectiveness of the proposed, the obtained results are compared to those obtained using the conventional perturb and observation (P&O), incremental conductance (IncCond), and classical particle swarm optimization (PSO). Furthermore, a boost converter supplied by a solar array simulator is done to check the stability of the circuit. Meanwhile, the DPSO-MPPT algorithm is embedded in the PV system simulated by using Simulink software and MATLAB Toolbox. The simulating results show the superiority of the proposed approach in improving the efficiency of the photovoltaic system.

Keywords: Boost converter; maximum power point tracking (MPPT); particle swarm optimization (PSO); photovoltaic (PV) system; solar insolation.Journal: Journal of Mechanical Engineering Research and Developments (JMERD) (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:zib:zjmerd:v:41:y:2018:i:4:p:116-121

DOI: 10.26480/jmerd.04.2018.116.121

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