A Novel Hybrid Optimization Technique for Maximum Power Point Tracking under Partial Shading
Kaliraja T1, Martin Leo Manickam2, Chellaswamy C3

1Kaliraja T, Department of Electronics and Communication Engineering, Sathyabama Institute of Science and Technology, Chennai and SV Engineering College, Tirupati (Andhra Pradesh), India.
2Martin Leo Manickam, Department of Electronics and Communication Engineering, St. Joseph College of Engineering, Chennai (Tamil Nadu), India.
3Chellaswamy C, Department of Electronics and Communication Engineering, Lords Institute of Engineering and Technology, Hyderabad (Telangana), India.

Manuscript received on 18 June 2019 | Revised Manuscript received on 25 June 2019 | Manuscript published on 30 June 2019 | PP: 5-14 | Volume-8 Issue-5, June 2019 | Retrieval Number: D6409048419/19©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: Optimum solar electric power generation is performed by the use of an optimum power point tracking technique. During different atmospheric environmental conditions such as normal shading and partial shading, the optimized maximum power point tracking (OPPT) is necessary. The latest algorithms for optimum power point tracking have shortcomings that will be overcome by an algorithm proposed in this paper. This algorithm is a hybrid algorithm called as overall distribution-weighted differential evolution (OD-WDE) OPPT algorithm. The OD-WDE finds out the correct optimum power point direction in a multiple power point scenario with a short time period. Two different shading conditions such as 20% shading and 40% shading have been considered for testing the ruggedness of OD-WDE. The performance of the proposed OD-WDE is compared with the other two latest algorithms such as particle swarm algorithm (PSO) and perturb and observe (P and O) algorithm. The simulation and experimental results show that the OD-WDE algorithm exhibits better performance on effectiveness and efficiency for tracking of a solar panel for optimum power generation point.
Keywords: Weighted Differential Evolution Algorithm, Different Shading Conditions, Multiple Power Points, Solar Photo Voltaic System.

Scope of the Article: Discrete Optimization