Efficient PV‐grid system integration with PV‐voltage‐source converter reactive power support. Issue 2 (12th February 2018)

• Record Type: Journal Article
• Authors: Samir, Ammar; Taha, Mohamed; Sayed, Mahmud Muhammad; Ibrahim, Ahmed
• Is Part Of: Journal of engineering. Volume 2018:Issue 2(2018)
• Page Start: 130
• Page End: 137
• Publication Date: 2018-02-12
• Subjects: reactive power -- power grids -- power generation control -- power factor -- photovoltaic power systems -- distributed power generation -- maximum power point trackers; efficient PV‐grid system integration -- PV‐voltage‐source converter reactive power support -- complete model -- photovoltaic distributed generation system -- utility grid -- study support the active power -- given feeder -- output power quality -- PV‐DGS unit -- PV arrays -- total power yield -- maximum power point tracking -- direct current‐DC converter -- unity output power factor -- reactive power compensation -- different control techniques -- conventional proportional‐integral controller -- voltage 2.0 PV -- power 200.0 kW; Engineering -- Periodicals; Engineering; Electronic journals; Periodicals; 620.005
• DOI: 10.1049/joe.2017.0877
• Languages: English
• ISSNs: 2051-3305

Abstract

Abstract : In this work, a complete model for the integration between the Photovoltaic Distributed Generation System (PV‐DGS) and the utility grid is simulated by MATLAB/SIMULINK. The aims of this study are to provide active power of a given feeder and to improve the output power quality from the PV‐DGS unit. To achieve these aims, Two PV‐arrays with total power yield equal to 200 KW are modeled. The maximum power point tracking based on the perturb and observe technique is used to control the DC‐DC converter. The voltage source converter is controlled to allow the system to operate in different modes. These modes are the unity output power factor and the reactive power compensation. Different control techniques have been applied including the conventional PI controller as well as the intelligent optimization tuning. A complete comparison between both techniques has been introduced and analyzed.