Maximum Power Extraction with Improved Terminal Load Voltage for Standalone Wind Generating Systems Based on Model Predictive Control

Habib, Habib Ur Rahman; Wang, Shaorong; Elmorshedy, Mahmoud F.; IEEE

Abstract

Global warming, high carbon emission and increasing energy demand requires high penetration of green and clean renewable energy resources in existing microgrid systems. Remote areas need reliable solutions for fulfilling electricity needs for their daily life activities across the globe. Wind energy utilization is increasing worldwide with wind-battery-load topology as a cost-effective solution for remote area electrification and standalone hybrid microgrid clusters. Intelligent control of voltage source inverter (VSI) ensures high power quality with efficient voltage and frequency profile for sensitive and critical loads. While maximum wind power extraction provides reliable solution with battery energy storage system (BESS). In this paper, finite control set model predictive voltage control (FCS-MPVC) is proposed for wind-battery based standalone microgrid to regulate load voltage and frequency. Control hierarchy consists of dc-dc converters and VSI. Wind maximum power is extracted by using dc-dc boost converter and DC bus voltage is stabilized by using bidirectional battery converter. MPC strategy is used for primary control, which includes power droop control, three phase reference generator, and inner control loop. Fluctuating wind under variable ac load conditions are simulated. Results show the effectiveness of MPC as compared to PI controller in obtaining load voltage with THD less than 1%.

Más información

Título según WOS: ID WOS:000610369700008 Not found in local WOS DB
Título de la Revista: 2019 4TH INTERNATIONAL CONFERENCE ON INTELLIGENT GREEN BUILDING AND SMART GRID (IGBSG 2019)
Editorial: IEEE
Fecha de publicación: 2019
Página de inicio: 34
Página final: 39
Notas: ISI