Power System Stability Improvement by TCSC Controller Employing a Multi - Objective Genetic Algorithm Approach

نویسندگان

  • Sidhartha Panda
  • R. N. Patel
  • N. P. Padhy
چکیده

Algorithm (GA) approach to tune the parameters of a Thyristor Controlled Series Compensator (TCSC), for power system stability improvement. Pareto method type of selection is used in the present multi-objective GA approach, which gives a set of solutions from which the best one can be chosen according to the requirements and needs. The design problem of TCSC controller is formulated as a parameter-constrained, multi objective optimization problem, and the parameters of the TCSC controller are optimally tuned. By minimizing the time-domain based multi objective function, in which the deviations in the oscillatory rotor angle, rotor speed and accelerating power of the generator are involved, stability performance of the system is improved. The proposed controllers are tested on a weakly connected power system subjected to a disturbance. Simulations are executed for an example power system to analyze the effectiveness and robustness of the proposed controllers.

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

Power System Stability Improvement via TCSC Controller Employing a Multi-objective Strength Pareto Evolutionary Algorithm Approach

This paper focuses on multi-objective designing of multi-machine Thyristor Controlled Series Compensator (TCSC) using Strength Pareto Evolutionary Algorithm (SPEA). The TCSC parameters designing problem is converted to an optimization problem with the multi-objective function including the desired damping factor and the desired damping ratio of the power system modes, which is solved by a SPEA ...

متن کامل

Power System Stability Improvement via TCSC Controller Employing a Multi-objective Strength Pareto Evolutionary Algorithm Approach

This paper focuses on multi-objective designing of multi-machine Thyristor Controlled Series Compensator (TCSC) using Strength Pareto Evolutionary Algorithm (SPEA). The TCSC parameters designing problem is converted to an optimization problem with the multi-objective function including the desired damping factor and the desired damping ratio of the power system modes, which is solved by a SPEA ...

متن کامل

Modelling, Simulation and Optimal Tuning of a Tcsc Controller for Enhancing Power System Stability

Abstract A systematic procedure for modeling, simulation and optimal tuning the parameters of a Thyristor Controlled Series Compensator (TCSC) controller, for the power system stability enhancement is presented in this paper. For the simulation purpose, the model of singlemachine infinite bus (SMIB) power system with TCSC controller is developed in MATLAB/SIMULINK. The design problem of TCSC co...

متن کامل

Load Frequency Control in Power Systems Using Multi Objective Genetic Algorithm & Fuzzy Sliding Mode Control

This study proposes a combination of a fuzzy sliding mode controller (FSMC) with integral-proportion-Derivative switching surface based superconducting magnetic energy storage (SMES) and PID tuned by a multi-objective optimization algorithm to solve the load frequency control in power systems. The goal of design is to improve the dynamic response of power systems after load demand changes. In t...

متن کامل

Optimal Supplementary Damping Controller Design for TCSC Employing RCGA

Optimal supplementary damping controller design for Thyristor Controlled Series Compensator (TCSC) is presented in this paper. For the proposed controller design, a multi-objective fitness function consisting of both damping factors and real part of system electromachanical eigenvalue is used and RealCoded Genetic Algorithm (RCGA) is employed for the optimal supplementary controller parameters....

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 2006