Analysis of the Voltage Stability of Power System with Large Wind Power Integration

Abstract

Renewable energy deployment is currently advocated globally as a key component in providing access to green energy, addressing current climate change and increasing energy services as well as creating economic opportunities. Wind power generation is one of renewable energy sources which are gaining more interest as a generation source to inject more power capacity to power system grid. This is as a result of the fluctuation of fuel prices affecting thermal power and unfavorable weather conditions affecting hydropower plants. According to world wind energy association, the total world wind power installed capacity had reached 651GW by end of 2019 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 rollout to meet the ever 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 on changing weather conditions. This generates power quality challenges such as uncontrollable reactive power and voltage fluctuations which negatively affect power system voltage stability. Since the rate of connecting wind power plants into 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 operators and planners in their daily power system operations. This paper aims at analyzing the impact of wind power integration on power system voltage stability. Line stability Index (Lmn) and Fast Voltage Stability Index (FVSI) were used to analyze voltage profiles. These line voltage indices show the proximity of transmission lines to voltage instability state. IEEE 30 bus system was used as a test system to carry out this research study. The research also investigated the effects of different location and different penetration levels of wind power into the power system using MATLAB simulation software.

Country : Kenya

1 Weldon K. Koskei2 David K. Murage3 Samuel Kangethe

  1. MSc Student, Department of Electrical and Electronic Engineering, Jomo Kenyatta University of Agriculture and Technology, Kenya
  2. Professor, Department of Electrical and Electronic Engineering, Jomo Kenyatta University of Agriculture and Technology, Kenya
  3. Professor, Department of Electrical and Electronic Engineering, Jomo Kenyatta University of Agriculture and Technology, Kenya

IRJIET, Volume 5, Issue 5, May 2021 pp. 52-58

doi.org/10.47001/IRJIET/2021.505009

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