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Proceedings ArticleDOI

An adaptive static VAr compensator using genetic algorithm and radial basis function network for enhancing power system stability

Komsan Hongesombut, +2 more
- Vol. 2, Iss: 6, pp 2509-2510
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TLDR
In this article, a GA employing the concept of hierarchical genetic algorithm (HGA) has been applied for designing an optimal proportional-integral-derivative (PID) controller for a SVC by selecting a necessary control type and optimizing those of control parameters under various operating conditions.
Abstract
This paper presents an approach to enhance power system damping with long distant bulk power transmission by a static VAr compensator (SVC) using a radial basis function (RBF) network. A genetic algorithm (GA) employing the concept of hierarchical genetic algorithm (HGA) has been applied for designing an optimal proportional-integral-derivative (PID) controller for a SVC by selecting a necessary control type and optimizing those of control parameters under various operating conditions. An RBF network is then trained by using these data. The effectiveness of this control method is verified by simulation results compared with those from an optimal fixed gain PID controller using a GA without an RBF network.

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Citations
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Journal ArticleDOI

Multiobjective Underfrequency Load Shedding in an Autonomous System Using Hierarchical Genetic Algorithms

TL;DR: In this article, a hierarchical genetic algorithm is employed to minimize the amount of shed load and maximize the lowest swing frequency for the underfrequency relay in an autonomous system with diesel generators and wind-power generators.
Proceedings Article

Optimal selection of sssc based damping controller parameters for improving power system dynamic stability using genetic algorithm

TL;DR: In this article, a new genetic-based approach is proposed for optimal selection of the static synchronous series compensator (SSSC) damping controller parameters in order to shift the closed loop eigenvalues toward the desired stability region.
Proceedings ArticleDOI

Application of Multi-Objective Genetic Algorithm for Optimal Design of SSSC Based Robust Damping Controllers to Improve Small Signal Stability

TL;DR: In this paper, a new genetic approach is proposed for optimal selection of the static synchronous series compensator (SSSC) based conventional lead-lag damping controller parameters, which is tuned in order to shift the lightly damped and undamped modes under various loading conditions toward the prescribed stability region.
References
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Journal ArticleDOI

Simultaneous tuning of power system damping controllers using genetic algorithms

TL;DR: In this paper, a method that simultaneously tune multiple power system damping controllers using genetic algorithms (GAs) is presented for global PSS tuning to the well-known New England system and coordinated tuning of 22 PSSs in a 1762-bus modified equivalent South-Southeastern Brazilian system.
Journal ArticleDOI

Optimal capacitor placement using deterministic and genetic algorithms

TL;DR: In this article, a procedure for solving the power capacitor placement problem is presented, where the objective is to determine the minimum investment required to satisfy suitable reactive constraints, and optimal capacitor placement leads to a nonlinear programming problem with mixed (discrete and continuous) variables.
Journal ArticleDOI

Radial basis function (RBF) network adaptive power system stabilizer

TL;DR: A new approach for real-time tuning the parameters of a conventional power system stabilizer (PSS) using a radial basis function (RBF) network using an orthogonal least squares (OLS) learning algorithm.
Journal ArticleDOI

Damping of generator oscillations using an adaptive static VAR compensator

TL;DR: In this article, the design of a static voltampere reactive (VAr) controller using a novel adaptive scheme is investigated, which makes use of self-tuning proportional-integral-derivative (PID) control, can provide better damping characteristics than a fixed-gain PID control SVC over a wide range of operating conditions.
Journal ArticleDOI

Capability of the static VAr compensator in damping power system oscillations

TL;DR: In this paper, the capability of the static VAr compensator in damping power system oscillations is investigated on the basis of a Phillips-Heffron model of single-machine infinite-bus power systems.
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