Stability Enhancement of Electrical Networks Integrated with Doubly Fed Induction Generator based Wind Turbines
This project aims to evaluate the transient stability of IEEE 9-Bus modified system during a three-phase fault at buses. Moreover, stability of the electrical network will be improved using Doubly Fed Induction Generator (DFIG). MATLAB / Simulink is used to design and simulate the electrical network integrated wind energy.
Nowadays, due to the increase in electricity demand and the environmental impacts, the countries are working together to develop clean energy. Besides, the number of power plants is growing. However, there are some challenges in power system networks such as faults at buses, drop voltage during the faults and stability issues. In this research, the proposed approach considers the DFIG based wind turbines to enhance the stability of the network. The purpose of this paper is to evaluate the transient stability and voltage stability of the IEEE 9-bus. To obtain the objective of the research, we used the excitation system. Preliminary work has been conducted for the load flow analysis to determine the accuracy of IEEE 9-bus. The fault analysis based on three-phase fault was taken from all buses to identify the bus location which may give the highest fault current. The switching time for the fault was set from 1second to 1.083 seconds to analyze the three-phase fault. During the fault, the system will experience some drop voltage on buses. Also, an excitation system was integrated into the synchronous generators to enhance the voltage stability, and as well as transient stability. The proposed approach is implemented to IEEE 9-bus. During the fault analysis, the fault impacts the performance of the network, voltage of buses, and power angle of synchronous generator. After the fault is released, the network remains unstable. An excitation system was integrated into the system. The parameters of the IEEE Type 1 excitation system provides better performance in the stability of the network before the DFIG is integrated into the system. Hence, the proposed approach is enabled to maintain the stable performance of the power system network.