Optimal tuning of power systems stabilizers and AVR gains using particle swarm optimization
نویسنده
چکیده
In this paper, the problem of simultaneous and coordinated tuning of stabilizers parameters and automatic voltage regulators (AVRs) gains in multi-machine power systems is considered. This problem is formulated as an optimization problem, which is solved using particle swarm optimization technique. The objective of the parameters optimization is formulated as nonlinear problem with constraints to represent the allowable region of the system parameters. The effectiveness of the proposed technique for tuning of multi-controllers in a large power system is tested by applying it to the well-known New England system. q 2005 Published by Elsevier Ltd.
منابع مشابه
Optimal Tuning of PID Controller for AVR System using Modified Particle Swarm Optimization
This paper present a new method to determine the optimal tuning of the PID controller parameter of an AVR system using Modified particle swarm optimization (MPSO) algorithm. the AVR is not robust to variations of the power system parameters therefore, it is necessary to use PID controller To increase the stability and performance of the AVR system. Fast tuning of optimum PID controller paramete...
متن کاملDynamic Analysis and Optimal Design of FLPSS for Power Network Connected Solid Oxide Fuel Cell Using of PSO
This paper studies the theory and modeling manner of solid oxide fuel cell (SOFC) into power network and its effect on small signal stability. The paper demonstrates the fundamental module, mathematical analysis and small signal modeling of the SOFC connected to single machine infinite bus (SMIB) system. The basic contribution of the study is to attenuate the low frequency oscillations by optim...
متن کاملAN OPTIMAL FUZZY SLIDING MODE CONTROLLER DESIGN BASED ON PARTICLE SWARM OPTIMIZATION AND USING SCALAR SIGN FUNCTION
This paper addresses the problems caused by an inappropriate selection of sliding surface parameters in fuzzy sliding mode controllers via an optimization approach. In particular, the proposed method employs the parallel distributed compensator scheme to design the state feedback based control law. The controller gains are determined in offline mode via a linear quadratic regular. The particle ...
متن کاملOptimal Tuning of Power System Stabilizers Using Modified Particle Swarm Optimization
This study proposed a novel algorithm to tune and coordinate power system stabilizers (PSSs) in multi-machine power systems. For a multi-machine power system, the coordination of the PSS parameters is generally formulated as an objective function with constraints including the damping ratio and damping factor. A novel hybrid particle swarm optimization (PSO) with the passive congregation algori...
متن کاملOptimal 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 کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Expert Syst. Appl.
دوره 31 شماره
صفحات -
تاریخ انتشار 2006