A New Optimized ANN Algorithm Based Single Phase Grid Connected PV-Wind System Using Single Switch High Gain DC-DC Converter

Abstract

A novel topology of Single phase grid connected system based on photo voltaic system through high gain single switch DC-DC Luo converter is proposed in this paper. In this novel topology the single phase grid connected to PV-Wind system followed by Luo converter and single phase voltage source inverter. The PV system voltage fluctuation problems are overcome by maximum power point tracking algorithm. The new optimized Artificial Neural Network technique (ANN) is used. It extracts the maximum power from the PV system. To compare the conventional schemes the proposed topology is modeled with the help of reference frames includes direct axis and quadrature axis elements. The LUO converter inherits the advantages compared to other DC-DC to converter topologies. The ANN based MPPT algorithm shows excellent performance under various testing conditions and the outcomes are differentiated with P&O algorithm and Fuzzy based MPPT algorithm. The PWM generators are used to trigger the inverter and LUO converter. Steady state and transient response of the controllers are discussed and implement the excellent operation of the PV fed energy system. The grid current synchronization is achieved by using PI controller also reduces the THD and satisfies the IEEE harmonics standard. The proposed system reduces the power quality issues in the PV based single phase grid connected system.

Performance Comparison of PID & FOPID for Solar PV & Wind Power Grid Integration

“…For handling the power quality issues under maximum power point tracking algorithm (MPPT), a novel Fuzzy and neural network based Luo converter has been implemented on single phase solar PV & wind integrated system. The value of THD under various testing conditions is 3.18% using PI controller [9]. In ref.…”

Artificial neural network based DC-DC converter for grid connected transformerless PV system

“…India is to reach 175GW renewable energy capacity by 2022 out of which it is 100 GW of solar PV is expected. It is forecasted that the solar PV capacity is raising at a rate of 16% between 2018 to 2026 [1]. The global solar market recording new trends in its installation due to the availability of advanced power conversion technologies in industry and sophisticated research.…”

Dual Input Z-source Indirect Matrix Converter for Grid Connected Hybrid Renewable Energy Systems

“…According the literature review, several studies have been done on HRES whether connected to the grid [1,2] or standalone with storage systems [3][4][5], aimed to enhance the performance of HRES by extracting maximum power using Maximum Power Point Tracking (MPPT) algorithms such as fuzzy logic [4] and Artificial Neural Network MPPT algorithms [1]. The authors [3,4], have proposed different power management strategies applied to stand-alone hybrid power system enabling the continuity of energy flow.…”