Voltage Stability Analysis of Power System with Large Wind Power Integration
Keywords:
Induction Generator, Voltage stability, Fast Voltage Stability Index, Line Stability IndexAbstract
Renewable energy deployment is currently advocated globally as a key component in addressing current climate change, providing access to green energy and increasing energy services as well as creating economic opportunities. Wind power generation is one of renewable energy sources which is gaining more interest as a generation source to add more power capacity to power system grid. This is due to the fluctuation of fuel prices affecting thermal power and unfavorable weather conditions affecting hydropower. According to world wind energy association, the total world wind power installed capacity had reached 372GW by end of 2014 and is estimated to reach 8% of world electricity market by 2035. Many governments in the world today have enacted policies to promote renewable energy deployment to meet the increasing electricity demand and reduce dependence of power from hydro and thermal plants. Wind induction generators are non-conventional and use different
technology and their output depend upon changing weather conditions. This generate power quality challenges such as uncontrollable reactive power and voltage fluctuations which deteriorate power system voltage stability. Since the rate of integrating wind power generation
to transmission power systems is increasing rapidly, there is need to investigate their impact on power system voltage stability. This in turn
will help power system planners and operators in their daily power system operations. This paper aims at investigating the impact of wind
power integration on power system voltage stability. Fast Voltage Stability Index (FVSI) and Line stability Index (Lmn) were used. These line voltage indices indicate the proximity of transmission lines to voltage instability. IEEE 30 bus system was used as a test system to carry out this research. The research also investigated impacts of different location and different penetration levels of wind power into the power system using MATLAB simulation software.
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Copyright (c) 2022 Weldon K. Koskei, David K. Murage, Samuel Kangethe, Michael J. Saulo

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.