Eigen Value Techniques for Small Signal Stability Analysis in Power System Stability

نویسندگان

  • G Naveen Kumar
  • Surya Kalavathi
  • B. Ravindhranath Reddy
چکیده

Many advanced techniques are being developed for Power Systems Stability Assessment. We can use Eigen value techniques for the purpose of increasing the calculation performance of eigen-algorithms for Power System Small Signal Stability Analysis. Firstly, we introduce a bulge chasing algorithm called the BR algorithm which is a novel and efficient method to find all Eigen values of upper Hessenberg matrices and has never been applied to eigen-analysis for power system small signal stability analysis. This paper analyzes differences between the BR and the QR algorithms with performance comparison in terms of CPU time based on stopping criteria and storage requirement on the basis of Eigen –value calculation. Secondly, we propose a method of small-signal stability analysis of power systems with microgrids which is based on the development of an integrated model in quadratic form and subsequent development of the transition matrix of the overall system. The Eigen values of the transition matrix provide the small-signal stability properties of the system.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Modelling and Simulation of Low-Head Hydro Turbine for Small Signal Stability Analysis in Power System

The hydro turbine dynamics have a considerable influence on the dynamic stability of power system. In the study of dynamic stability, the system is modeled by the linear differential equations (small  signal analysis). Small signal stability of power systems is needed in all conditions and only is dependent on the conditions of power system performance before commotion occurrence. This paper pr...

متن کامل

Optimal Design of FPI^λ D^μ based Stabilizers in Hybrid Multi-Machine Power System Using GWO ‎Algorithm

In this paper, the theory and modeling of large scale photovoltaic (PV) in the power grid and its effect on power system stability are studied. In this work, the basic module, small signal modeling and mathematical analysis of the large scale PV jointed multi-machine are demonstrated. The principal portion of the paper is to reduce the low frequency fluctuations by tuned stabilizer in the atten...

متن کامل

Multi-Objective Congestion Management in a Deregulated Power systemusing FACTS devices

Congestion management is one of the technical challenges in a Deregulated power system environment. Two types of Methodologies used in congestion Management are non-cost free methods and cost free methods. In this research work congestion is relieved by using cost-free methods considering FACTS Devices such as TCSC(Thyristor controlled series Compensator) and UPFC (Unified Power Flow Controller...

متن کامل

A Swarm Intelligence Based Robust Excitation Controller Design in Power System Dynamic Studies

In the Modern Power System Scenario, Power System damping controllers are widely used in industry to damp the Low Frequency Inertial Oscillations experienced due to disturbance in the System. In this paper, an Swarm intelligence based Algorithm namely Particle Swarm Optimization algorithm (PSO) is implemented to compute the Optimal value of the damping controller parameters to enhance Small sig...

متن کامل

N-1 Contingency analysis in a Congested power system and enhance the voltage stability using FACTS Devices

In a deregulated power systems environment, congestion management is one of the technical problem needs to maintain a system as stable condition. One of the objective functions in congestion management is N-1 contingency analysis. Using N-1 contingency analysis find out the worst line outage and analysis that line, maintain the whole system as stable after the line outage. Two types of Methodol...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2009