A stored energy-based control strategy to improve LVRT capability of HRES using PSO & WCA optimized DVR

Abstract

The article presented here utilize the particle swarm optimization (PSO) and water cycle algorithm (WCA) based dynamic voltage restorer (DVR) to augment the low voltage ride through (LVRT) performance of a hybrid renewable energy system (HRES). The HRES system considered here consist of solar photovoltaic system and wind based wind turbine plant. Dynamic voltage restorer is linked to the point of common coupling (PCC). Control strategy is accomplished by regulating the load voltage at different condition. Here PSO and WCA algorithm is employed to control the voltage source converter gate signals by regulating D-Q axis voltage signal. The algorithm is used to tune the PI controller parameter. Further battery energy storage system (BESS) is connected over the DC terminals of the DVR to enhance the compensating capability by improving current, voltage and power waveform of the energy sources. By improved compensation performance, the load and whole system remains uninterrupted of HRES and maintain LVRT capability. Results shows that the BESS enabled DVR performs better in all respect for the compensation of voltage sag and make the system self LVRT capable.