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Power Quality Improvement through DSRF-based Droop Control Optimized by PSO Algorithm

Publish Year: 1402
Type: Conference paper
Language: English
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NCEEM12_009

Index date: 21 November 2023

Power Quality Improvement through DSRF-based Droop Control Optimized by PSO Algorithm abstract

Within the power networks, voltage imbalance is an inevitable occurrence. If this voltage imbalance exceeds the acceptable threshold, it can have adverse effects on both customer equipment and network performance. This research introduces an innovative control approach aimed at addressing voltage imbalances in grid-connected microgrids. The proposed control technique is specifically designed for distributed generation units connected through inverters. It utilizes a combination of the double synchronous reference frame (DSRF) and particle swarm optimization (PSO) to achieve its objectives. By employing the DSRF method, the positive and negative sequence components can be effectively separated, enabling better control. The simulation results demonstrate that the suggested control strategy not only delivers rapid dynamic response but also mitigates the impact of uncertainties through PSO optimization. Furthermore, it successfully compensates for voltage imbalances.

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Power Quality Improvement through DSRF-based Droop Control Optimized by PSO Algorithm authors

Pooya Parvizi

School of Engineering, University of Birmingham, Birmingham, United Kingdom.

Alireza Mohammadi Amidi

Department of Electrical, Faculty of Science, Razi University, Kermanshah, Iran

Milad Jalilian

Department of Physics, Faculty of Science, Lorestan University, Lorestan, Iran.

Hana Parvizi

Department of Science, Faculty of Science, University of British Columbia, Vancouver, Canada