Master'sOpen Access

Voltage Stability Analysis of Grid-Connected Wind Farms with FACTS Devices

2022
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Advisor: Reza (Supervisor) Sirjani

Abstract (EN)

The renewable energy resources are the key for our future since the fossil fuel is limited and has very dangerous effects in the environment. However, the rapid growth in the usage of renewable-based generation poses challenges for the power system operators. In this thesis, a systematic approach will be proposed for voltage stability analysis of a power system with grid-connected wind farms using various techniques. Static analysis is used to analyze the voltage stability of the system under study, whilst the dynamic analysis is used to evaluate the voltage magnitude fluctuation during time. The static techniques that have been used are Power Flow, P–V curve analysis, and Q V modal analysis. In addition, different FACTS devices such as Static Var Compensator (SVC) and Static Synchronous Compensator (STATCOM) are added to the system as reactive power compensators, considering improving the violated voltage magnitudes of the weak buses. An IEEE-14 bus test system is used in order to study the voltage stability analysis on and the effects of implement FACTS devices such as STATCOM and SVC on the power system, where the voltage stability analysis have been done in 8 different cases showing the weakest areas and buses in the system as well as placing these different FACTS devices at once in different weak buses in order to show the effects of these devices in the voltage stability analysis outputs. The last case shows the optimal solution of the test power system where both FACTS devices STATCOM and SVC have been used showing that the system becomes more stable, and the voltage magnitude profile is enhanced in the whole power system as well as the laudability of the system increased.

Author

Dr. Hamza Ahmad M. Isied

How to Cite

Hamza Ahmad M. Isied (Master Thesis). Voltage Stability Analysis of Grid-Connected Wind Farms with FACTS Devices, 2022, Eastern Mediterranean University, Department of Electrical and Electronic Engineering.

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