Simulation of MPPT based Standalone PV Module Design using GWO and PSO Technique
Manoj Kumar Sahu1, Shubhakam Hota2, Jagan Mohan Rao Malla3, Anup Kumar Panda4, Sribatsa Behera5
1Manoj Kumar Sahu, Dept. of Electrical Engineering, CAPGS, BPUT, India.
2Shubhakam Hota, Dept. of Electrical Engineering, DRIEMS, BPUT, Odisha, India.
3Jagan Mohana Rao Malla, Dept. of EE, BPUT, Govt. of Odisha, India.
4Anup Kumar Panda, Dept. of EE, NIT Rourkela, Odisha, India.
5Sribatsa Behera, Dept. of Instrumentation & Electronics Engineering, CET, BPUT, Govt. of Odisha, India.
Manuscript received on 20 August 2019. | Revised Manuscript received on 02 September 2019. | Manuscript published on 30 September 2019. | PP: 2754-2759 | Volume-8 Issue-11, September 2019. | Retrieval Number: K22380981119/2019©BEIESP | DOI: 10.35940/ijitee.K2238.0981119
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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: Maximum value of power can be derived from the solar PV system under the external discomposure and the variable solar irradiance using MPPT technique. Different literatures supplicate a number of MPPT techniques that can capture the power at the particular point known as maximum power point (MPP). This paper focuses on the grey wolf optimization (GWO) based MPPT technique and represents the comparison between PSO MPPT and the proposed GWO MPPT under same solar irradiance. A converter of boost type is implemented in this paper to rise the solar PV voltage. The suggested MPPT technique contributes meticulous and agile expelling for an isolated PV system. Comparisation between the two above mentioned MPPT methods is analyzed by using Matlab/ Simulink environment.
Keywords: Grey wolf optimization (GWO), maximum power point (MPP), particle swarm optimization (PSO), photovoltaic (PV) system, maximum power point tracking (MPPT), Simulink.
Scope of the Article: Swarm Intelligence