GA-SMC Technique for Photovoltaic Systems under Non-Homogenous Meteorological Conditions
Cheikhne Cheikh Ahmed1, Mohamed Cherkaoui2, Mohcine Mokhlis3, Mouad Bahij4
1Cheikhne Cheikh Ahmed*, Department of Electrical Engineering, Mohammadia School of Engineering, Mohammed V University of Rabat, Rabat, Morocco.
2Mohamed Cherkaoui, Department of Electrical Engineering, Mohammadia School of Engineering, Mohammed V University of Rabat, Rabat, Morocco.
3Mohcine Mokhlis, Department of Electrical Engineering, Mohammadia School of Engineering, Mohammed V University of Rabat, Rabat, Morocco.
4Mouad Bahij, Department of Electrical Engineering, Mohammadia School of Engineering, Mohammed V University of Rabat, Rabat, Morocco.
Manuscript received on February 10, 2020. | Revised Manuscript received on February 21, 2020. | Manuscript published on March 10, 2020. | PP: 1481-1487 | Volume-9 Issue-5, March 2020. | Retrieval Number: E2925039520/2020©BEIESP | DOI: 10.35940/ijitee.E2925.039520
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: When the photovoltaic sources are subjected to the partial shading (PS) effect, the PV modules are consequently subjected to the different levels of the irradiation. Indeed, when the phenomenon of the partial shading occurs, the Power-Voltage curve of the PV panel presents several points of maximum power. These points are divided between local and global, where the global maximum point presents the superior maximum, and the local maximum points present the inferior maximums compared to the global one. In fact, the classical Maximum Power Point Tracking (MPPT) techniques can not distinguish the global maximum power point, but can track only the first maximum found at the right hand of the Power-Voltage curve. Thus, in some cases, the classical techniques can cause the high drop of power. To solve this issue, this paper proposes a new approach based on the genetic algorithm (GA), because of its ability to optimize the solar panels’ output power production under the PSC. This optimization method is combined with the robust Sliding Mode Controller (SMC). Here, the GA is used in order to locate and generate the reference voltage corresponding to the global maximum power. While the sliding mode controller is used in order to track the reference voltage by acting on the duty cycle of the SEPIC converter. To examine the performance of the proposed method, the comparison with some hybrid controller, which are P&O-SMC, P&O-BSC, INC-BSC and INC-SMC, is performed. The results show the tracking performances of the proposed method, which are the accuracy and rapidity. Moreover, the results illustrates the ability of the proposed hybrid controller to detect the partial shading and to distinguish the Global Maximum Power Point.
Keywords: Backstepping Controller, Genetic Algorithm, Incremental Conductance, Partial shading, Perturb and Observe, Sepic converter, Sliding Mode Controller.
Scope of the Article: Software Engineering Techniques and Production Perspectives