A Model Based Maximum Power Point Tracking for PV Panels using Genetic Algorithm
Lini T Koshy1, Rini Jones S.B2
1Lini T Koshy, Electronics and Communication Department, Lourdes Matha College of Science and Technology, Thiruvananthapuram (Kerala), India.
2Dr.Rini Jones S.B, Electronics and Communication Department, Lourdes Matha College of Science and Technology, Thiruvananthapuram (Kerala), India.
Manuscript received on 15 August 2015 | Revised Manuscript received on 25 August 2015 | Manuscript Published on 30 August 2015 | PP: 59-63 | Volume-4 Issue-6, August 2015 | Retrieval Number: F4161084615/15©BEIESP
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© 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: This paper presents a genetic algorithm (GA) based technique in Model Based (MB) maximum power point tracking (MPPT) controller for photo voltaic (PV) system. Maximum power point tracking is the main solution to reduce the power loss in the photo voltaic system when temperature and solar irradiance variation occurs. The PV system has an operating point that can supply maximum power to the load. The point that gathers the power called the maximum-power point (MPP). A model-based MPPT offers a better dynamic performance, because it is relatively easy to obtain an accurate model of a single PV panel, thus predicting the maximum power point voltage for given environmental conditions. Experiments reveal that the existing MB MPPT gives improved tracking error but minimum power extraction. To overcome this disadvantage an optimization algorithm called Genetic Algorithm based MB MPPT is presented. The proposed GA based MB MPPT can reduce the tracking error as well as maximum power is extracted as compared to the existing MB MPPT.
Keywords: Energy Efficiency, Genetic Algorithm (GA), Modeling, Maximum Power Point Tracking (MPPT), Parameter Estimation, Photo Voltaic (PV) System
Scope of the Article: Algorithm Engineering