Transient Stability Analysis of a Power System Having Large Scale Wind Generation

Abstract

Energy is one of the most important factors that continue to in uence the shape of civ- ilization in the 21st Century. The cost and availability of energy signi cantly impacts our quality of life, the health of national economies and the stability of our environment. In recent years there has been a signi cant global commitment to develop clean and al- ternative forms of energy resources. It is envisioned that by 2020, 10% of world energy demand will be supplied from renewable resources. It is expected that this gure will grow to 50% by 2050. Among renewable energy resources, wind generation technology has matured considerably. Wind is fairly distributed around the globe and therefore avail- able to everyone in the world. In the last decade, wind generation has been the fastest growing energy source globally. However more penetration of wind energy into existing power networks raises concern for power system operators and regulators. This research was aimed at carrying out transient stability analysis of a power system which has a large scale penetration of wind power. The Kenyan power system was used in this research. The proposed Lake Turkana Wind Project (LTWP) which is aimed at generating 300 MW of wind power forms the basis of the research. Analysis was carried out rst without the wind integration and then with wind integration. Comparison was carried out on the two commonly used wind generation technologies (SCIG and DFIG) to determine their e ect on the grid transient stability. This system was established and all the simulations and analysis carried out in the power system analysis tool DIgSILENT PowerFactory. The investigations were carried out with two excitation control con gurations; rst with man- iii ual excitation control only and secondly with excitation controlled by automatic voltage control (AVR) together with a power system stabilizer (PSS) Simulation results show that the inclusion of wind power from a DFIG based wind farm has less impact on transient stability of the Kenyan power system as compared to a SCIG based wind farm. The inclusion of the excitation controller improves system damping which enhances system transient stability.