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Article type: Research Article
Authors: Janardhan, G.a; * | Surendra Babu, N. N. V.b | Srinivas, G. N. c
Affiliations: [a] Department of Electrical and Electronics Engineering, CVR College of Engineering, Hyderabad, Telangana, India | [b] Department of Electrical and Electronics Engineering, KIOT, Wollo University, Ethiopia | [c] Department of Electrical and Electronics Engineering, JNTU Hyderabad, India
Correspondence: [*] Corresponding author. G. Janardhan, Assistant Professor, Department of Electrical and Electronics Engineering, CVR College of Engineering, Hyderabad, Telangana, India. E-mail: [email protected].
Abstract: A hybrid method for transformer-less grid-tie hybrid Renewable Energy Source (HRES), such as photovoltaic (PV) and wind energy system (WES) with minimization of common mode leakage current is proposed in this manuscript. The proposed system is the combined execution of Vascular Invasive Tumor Growth (VSTG) Optimization Algorithm and extreme gradient boosting (XGBOOST) named VSTG-XGBOOST control topology. The main intention of transformerless grid-connected HRES system is “to lessen the leakage current, maximum power point (MPP) extraction and maximal power point tracking (MPPT), the active and reactive power controller, and having the unity power factor. To attain the above-mentioned aims, the following actions have been performed in this proposed work. Two turn-off snapper circuits are inserted parallel to the switches to share the input DC voltage among snubber capacitors. By then, VSTG is used to estimate the optimal gain parameters under various source currents as normal value is used to generate the optimal control signal database offline. Based on the attained dataset, the XGBOOST forecasts the optimal control signals of the grid-connected HRES inverter in the online way. This control technique allows two sources to supply the load separately depending on the availability of the energy sources and keeps common DC voltage constant.
Keywords: Transformer-less grid-tie inverter, common mode leakage current, photovoltaic, Hybrid Renewable Energy Source, snubber capacitors
DOI: 10.3233/JIFS-213362
Journal: Journal of Intelligent & Fuzzy Systems, vol. 43, no. 6, pp. 7995-8019, 2022
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