TRACKING MAXIMUM POWER POINT FOR PHOTOVOLTAIC SYSTEM USING A NOVEL DIFFERENTIAL PARTICLE SWARM OPTIMIZATION
Author(s):
Van Huong Dong1, Khai Hoan Nhu1,2, Thi Thom Hoang2, Thanh Cong Pham3
Affiliation(s):
1Ho Chi Minh City University of Transport, Ho Chi Minh city, Vietnam
2 Nha Trang University, Khanh Hoa, Vietnam
3Ho Chi Minh City University of Food Industry, Ho Chi Minh city, Vietnam
This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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 varying temperature 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.