Renewable Energy Based Distributed Generation System

Описание: With emerging trends and advances in techniques in power electronics, Unified Power Quality Conditioner (UPQC) has a superior performance compared to other methods. The webinar discusses the application of an ANN-based UPQC to enhance the power quality of a three-phase Low-voltage network connected to a hybrid distribution generation (DG) system. The proposed work emphasizes the detailed performance analysis of a distributed generation system that integrates a solar PV and wind energy system by utilizing the Unified Power Quality Conditioner (UPQC) with an artificial neural network (ANN) controller with respect to a proportional-integral (PI) controller. The core objective of the proposed ANN is to offer good steady and dynamic state performance compared to the PID controller.

The system called UPQC-ANN-RE feeds energy generated by a photovoltaic array and a wind turbine into the electrical grid and loads attached to a system of 3-phase 4-wire electrical distribution. In addition to inserting active/real power in the utility grid, the system of UPQC-ANN-RE functions as a UPQC, improving power quality signs e.g., voltage and current harmonics and power factor. A detailed analysis of the active-real power flow by converters is carried out to allow a good understanding of the operation of the UPQC-ANN-RE. The simulation outcomes are presented to assess the dynamic and steady-state performance of the system of UPQC-ANN-RE connected to an electrical distribution system and to compare the consequences with the PI controller. s.

Key takeaways from this webinar:
Renewable Energy sector
Distributed Generation systems
Power system Quality

Presenter: Dr. Munira Batool, EIT Unit Coordinator and Lecturer
https://www.eit.edu.au/instructor_sto...
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