Application of genetic algorithm in optimization of unified power flow controller parameters and its location in the power system network

a b s t r a c t This work demonstrates the application of Genetic Algorithm (GA) technique for the simultaneous stabilization of power systems using a Unified Power Flow Controller (UPFC). The GA is applied to find the optimal location of the UPFC and to tune its control parameters under different operating conditions. The problem is formulated as a multiobjective optimization problem which aims at maximizing the damping ratio of the electromechanical modes using different lines fitted with the UPFC. The approach is successfully tested on the 16-machine 68-bus New England-New York interconnected system and on the Iraqi National Super Grid System (INSGS) to validate its effectiveness in the damping of local and inter-area modes of oscillations. In addition, the proposed approach demonstrated better performance when compared to a fuzzy-based UPFC damping controller

Experimental Tensile Study on the Behavior of Composite Material with Roving Waviness

This paper describes the materials and the methods used to make a tensile test of composite materail. The experimental study is conducted to observe the crashing behavior of composite material using different types of material namely; glass/epoxy carbon/epoxy and jute/epoxy specimens. Then, the behavior of the composite specimens is observed to determine the best material that produced the highest mechanical properties to be used as a material for a straight bevel gear in robotic arm application. The experimental work has been divided into two stages. The first stage is the experimental process, which involves fabrication of the specimens for the tensile test. The second stage is the preparation of specimens for the tensil test.</jats:p

Damping of low-frequency oscillations using Takagi-Sugeno Fuzzy stabilizer in real-time

A new methodology for the implementation of a power system model for damping low-frequency oscillations in field programmable gate array (FPGA)-based real-time simulator is proposed. The continuous form of the model is converted to discrete-time domain model, and then reduced to block diagrams involving the delay operators and gains for the implementation in the FPGA. The hardware implementation of a power system stabilizer (PSS) to control the system is also introduced using FPGA. The real-time implementation of the proposed approach in an FPGA is described. To verify the effectiveness of the proposed FPGA-based simulator, a single machine infinite bus system (SMIB) is tested with the stabilizer under different operating conditions. Results show the capability of implementing the power system with the stabilizer in an FPGA. Additionally, very short time and constant computation time per simulation time-step are established

A coordinated design of PSSs and UPFC-based stabilizer using Genetic Algorithm

This paper details a new coordinated design between Power System Stabilizers (PSSs) and Unified Power Flow Controller (UPFC) using Genetic Algorithm (GA). The GA determines the optimal location for the UPFC while tuning its control parameters, resulting in the optimization of the quantity, parameters and locations of PSSs under different operating conditions. The problem is formulated as a multiobjective optimization problem in order to maximize the damping ratio(s) of the electromechanical modes, matching different numbers of PSSs with UPFC. The approach is successfully tested on the New England-New York interconnected system (16-machine and 68-bus), proving its effectiveness in damping local and inter-area modes of oscillations

Optimization of power system stabilizers using participation factor and genetic algorithm

This paper describes a method to determine the optimal location and the number of multi-machine power system stabilizers (PSSs) using participation factor (PF) and genetic algorithm (GA). The PF method is primarily used for number estimation and to identify the location of the PSSs, while the GA is applied to further reduce the number of PSSs, resulting in the optimization of their parameters and locations under different operating conditions. The problem is presented as a multi-objective optimization problem; maximizing the damping ratio of the electromechanical modes using different numbers of PSSs. The approach is successfully tested on the New England-New York interconnected system (16-machine and 68-bus), and its effectiveness in damping of local and inter-area modes of oscillations was proven. It is also compared to two other methods, which use only GA, in terms of damping ratio and computation time. In addition, the proposed approach demonstrates better performance compared to a fuzzy-based PSS when applied to the Iraqi National Super Grid System (INSGS)

Damping of low-frequency oscillations and improving power system stability via auto-tuned PI stabilizer using Takagi-Sugeno fuzzy logic

This paper proposes a Takagi-Sugeno (TS) fuzzy gain-scheduling PI stabilizer to damp the power system low-frequency oscillations and enhance power system stability. The work describes the construction of appropriate fuzzy membership functions and rules for a Power System Stabilizer (PSS) so that its proportional and integral gains can be automatically tuned in real-time to react to changes in the system operating conditions. To find the optimal number and locations of required stabilizers, this paper uses the participation factor method. Simulation results on a practical power system demonstrate that the proposed stabilizer is effective in damping low-frequency oscillations as well as improving system dynamic stability and voltage profile. In addition, the proposed approach provides superior performance when compared to a conventional PI PSS. (C) 2011 Elsevier Ltd. All rights reserved