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Design and Implementation of New Topology for Solar PV Based Transformerless Forward Microinverter
Premkumar M,Sumithira T.R 대한전기학회 2019 Journal of Electrical Engineering & Technology Vol.14 No.1
Recently, transformerless inverters play a vital role for single phase low voltage solar photovoltaic (PV) due to low cost, lesser weight, small size and high efficiency. However, the leakage current produces electromagnetic interferences (EMI), current distortion on the grid with additional losses which affects the performance of the inverter. In this paper, a new inverter topology, to deal with the problem of leakage current is proposed. The various conventional H6 topologies are simulated, compared and evaluated based on the leakage current, performance and safety with the proposed inverter topology. This work focuses on transformerless inverter which is best suitable for Module Integrated Converter (MIC) or microinverter. The proposed topology is employed with unipolar sinusoidal pulse width modulation, and it can reduce the common mode (CM) current. The performance analysis is carried out on different topologies using MATLAB/Simulink environment and the proposed inverter experimentally verified on a 150W prototype. Based on the analysis, simulation and experimental results, the comparison also presented for future reference.
Premkumar, Manoharan,Sumithira, Rameshkumar The Korean Institute of Power Electronics 2018 JOURNAL OF POWER ELECTRONICS Vol.18 No.6
This paper proposes a novel hybrid maximum power point tracking (MPPT) algorithm combining a Whale Optimization Algorithm (WOA) and the conventional Perturb & Observation (P&O) to track/extract the highest amount of power from a solar photovoltaic (SPV) system working under partial shading conditions (PSCs). The proposed hybrid algorithm is based on a WOA which predicts the initial global peak (GP) and is followed by P&O in the final stage to achieve a quicker convergence to a GP. Thus, this hybrid algorithm overcomes the computational burden encountered in a standalone WOA, grey wolf optimization (GWO) and hybrid GWO reported in the literature. The conventional algorithm searches for the maximum power point (MPP) in the predicted region by the WOA. The proposed MPPT technique is modelled and simulated using MATLAB/Simulink for simulating an environment to check its effectiveness in accurately tracking the MPP during the GP region. This hybrid algorithm is compared with a standalone WOA, GWO and hybrid GWO. From the simulating results, it is shown that the proposed algorithm offers high tracking performance and that it increases the output power level of a SPV system under partial shading. The algorithm also verified experimentally on various PSCs.
Manoharan Premkumar,Rameshkumar Sumithira 전력전자학회 2018 JOURNAL OF POWER ELECTRONICS Vol.18 No.6
This paper proposes a novel hybrid maximum power point tracking (MPPT) algorithm combining a Whale Optimization Algorithm (WOA) and the conventional Perturb & Observation (P&O) to track/extract the highest amount of power from a solar photovoltaic (SPV) system working under partial shading conditions (PSCs). The proposed hybrid algorithm is based on a WOA which predicts the initial global peak (GP) and is followed by P&O in the final stage to achieve a quicker convergence to a GP. Thus, this hybrid algorithm overcomes the computational burden encountered in a standalone WOA, grey wolf optimization (GWO) and hybrid GWO reported in the literature. The conventional algorithm searches for the maximum power point (MPP) in the predicted region by the WOA. The proposed MPPT technique is modelled and simulated using MATLAB/Simulink for simulating an environment to check its effectiveness in accurately tracking the MPP during the GP region. This hybrid algorithm is compared with a standalone WOA, GWO and hybrid GWO. From the simulating results, it is shown that the proposed algorithm offers high tracking performance and that it increases the output power level of a SPV system under partial shading. The algorithm also verified experimentally on various PSCs.