Modified Invasive Weed Optimization for the Control of Photovoltaic Powered Induction Motor Drives in Water Pumping Systems

Applications of Photovoltaic (PV) panels are increasing day by day in worldwide. Electricity generation through PV panels is one of the best example for utilization of renewable energy sources i.e., solar energy. Hence, operating PV panels at their best utilization is must to make system cost effective. Due to nonlinear characteristics of a PV system, identifying a locations corresponding to operating condition at maximum power delivery is required to make system more efficient. In order to achieve the best utilization of PV panels, a maximum power point tracking (MPPT) technique should be implemented. Hence, a MPPT method plays an important role in PV based power generation systems. However, an efficient algorithm is must to operate PV system at its MPPT level. In this paper a comparative performance analysis of two famous MPPT algorithms is presented in this paper. The Perturb and observed (P&O) and Incremental Conductance (IC) methods are developed in this paper for comparing their responses under variable irradiances. MATLAB/Simulink based results are presented in this paper under various operating conditions.

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Osprey optimization algorithm for MPPT of PV system with forward DC to DC converter under partial shading conditions

Rao,

Kiran Kumar,

Suresh

et al. 2024

Eng. Res. Express

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Electric power is required anywhere for multiple purposes to do various tasks. Production of electricity from renewable sources such solar energy is feasible solution for many problems. Photovoltaic modules are generally used to produce electricity through solar irradiance. However, a maximum power point tracking device (MPPTD) must be incorporated to Photovoltaic system to ensure its maximum utilization or best efficiency. A forward DC to DC circuit is selected to work as MPPTD in this paper. Many conventional algorithms including incremental conductance, perturb & observe are available to work effectively for MPPTD under uniform solar irradiances. However, non-uniform irradiances will be received by Photovoltaic modules where many are connected to form a power generation system due to trees, shading, dust, birds, clouds, etc. Such phenomenon drags the system into Partial Shading Condition (PSC). Under PSC, conventional algorithms cannot identify the best location to harvest more energy. Hence, an optimization technique is required to operate Photovoltaic system at its outfit utilization during PSC. An optimization technique namely “Osprey Optimization Algorithm (OOA)” is developed in this paper on MPPTD to harvest more energy during PSC. The comparison among OOA, Grey Wolf Optimization (GWO), Modified Invasive Weed Optimization (MIWO) and Whale Optimization Algorithm (WOA) is also included in this paper. The Hardware – in the – Loop is establish by using OPAL-RT technology to collect various results for presenting analysis under different operating conditions.

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Modified Invasive Weed Optimization for the Control of Photovoltaic Powered Induction Motor Drives in Water Pumping Systems

Cited by 3 publications

References 23 publications

MIWO based MPPT of PV system for induction motor driven water pumping system

MIWO based MPPT of PV system for induction motor driven water pumping system

Comparative Analysis of P&O and INC MPPT Algorithms for PV System under Variable Irradiance

Osprey optimization algorithm for MPPT of PV system with forward DC to DC converter under partial shading conditions

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