Thyristor-Based FACTS Controllers for Electrical Transmission Systems

Proceedings of the International MultiConference of Engineers and Computer Scientists, Vol II, IMECS 2009

Optimal placement and parameter setting of SVC and TCSC using PSO to mitigate small signal stability problem

Dynamic genetic algorithms for robust design of multimachine power system stabilizers

The thyristor controlled series capacitor (TCSC) and power system stabilizer (PSS) can combine with each other for further damping and stability; therefore, their coordination is very important. In this paper, we use TCSC and PSS simultaneous controllers to increase the stability and damping of the oscillations of the two-machine power system. Then we will optimize the parameters of TCSC and PSS simultaneous controllers by velocity update relaxation particle swarm optimization (VURPSO) algorithm to improve the efficiency of the controllers designed for stability and damping of the oscillations in the power system. VURPSO algorithm complements particle swarm optimization (PSO) algorithm.

https://research.iaun.ac.ir/pd/shahgholian/pdfs/PaperM_9350.pdf

Coordinated design of thyristor controlled series capacitor and power system stabilizer controllers using velocity update relaxation particle swarm optimization for two-machine power system stability

in this paper steady-state modeling of Static VAR Compensator (SVC) and Thyristor Controlled Series Compensator (TCSC) for power flow studies has been represented and discussed in details. Firing angle model for SVC was proposed to control the voltage at which it is connected. In same manner firing angle model for TCSC is used to control active power flow of the line to which TCSC is installed. The proposed models take firing angle as state variable in power flow formulation. To validate the effectiveness of the proposed models Newton-Raphson method algorithm was developed to solve power flow equations in presence of SVC and TCSC. Case studies are carried out on 9-bus test system to demonstrate the performance of the proposed models.

/pdf/steady-state-modeling-of-svc-and-tcsc-for-power-flow-1ryonakwh9.pdf

Steady-State Modeling of SVC and TCSC for Power Flow Analysis

This paper investigates the impact of thyristor controlled series compensator (TCSC) to enhance power system stability. The design problem of TCSC controller parameters is formulated as optimization problem, and then particle swarm optimization (PSO) technique was used to search for optimal parameters. The proposed controller and technique are employed on test system under different cases and location of TCSC. To validate the effectiveness of the TCSC on enhancing system stability, eigenvalues analysis and a nonlinear time-domain simulation implemented on SMIB equipped with TCSC. The simulation results show the effectiveness and robustness of proposed controller to enhance system stability by damping oscillations of different disturbances.

Impact of TCSC on Enhancing Power System Stability

In this paper, conventional lead-lag power system stabilizer (CPSS) is designed to damp electromechanical oscillations. CPSS parameters settings are computed using linear control theory. A new technique based on particle swarm optimization PSO is proposed to optimize the parameters settings of CPSS. The problem is formulated as an optimization problem, the objective is to compute the optimal parameters settings such that damping ratio maximized as much as possible. The performance and robustness of optimized CPSS (OPSS) is then, tested on 9-bus multi-machine system under normal operating conditions, heavy loadings and response to three phase short circuit. Eigenvalues results and nonlinear time domain simulation show the effectiveness and robustness of the proposed OPSS over CPSS under different proposed cases.

Design and parameters optimization of power system stabilizer to improve power system oscillations

In this paper, conventional power system stabilizer (CPSS) is designed to damp electromechanical oscillations. CPSS parameters settings are computed using linear control theory. A new technique based on Genetic Algorithms (GAs) is proposed to optimize the parameters settings of CPSS. The problem is formulated as an optimization problem, the objective is to compute the optimal parameters settings such that damping ratio maximized to predetermined value. The performance and robustness of optimized PSS (OPSS) is then, tested on multi-machine system and compared with CPSS. Simulation results show the effectiveness and robustness of the proposed OPSS over CPSS.

Optimization of conventional power system stabilizer to improve dynamic stability

The main objective of this paper the conversion of the Water Hyacinth into a clean energy that can be exploited widely by a process of fermenting inside ferment devices. Three laboratory scale digesters were designed with different Water Hyacinth samples mixed with , water and Catalyst, the first model contains a green sample, the second sample was dried and the third was mixed green and dry with concentration of (34%, 18% and,24%), respectively. After ten days of fermentation the research showed that, the greater production of biogas was in the first digester (A). The second production was from digester (C), which contains the green and dry sample. The last one was digester (B) which contains the dry sample only with total volumes of (162509.71, 139273.12, 91540.35) cubic centimetres, respectively. The research shows that the green sample is the best in terms of the amount of gas produced.

https://onlinejournals.uofk.edu/index.php/kuej/article/download/902/793

Zakaria Anwar Zakaria

Papers

Steady-State Modeling of SVC and TCSC for Power Flow Analysis

Impact of TCSC on Enhancing Power System Stability

Design and parameters optimization of power system stabilizer to improve power system oscillations

Optimization of conventional power system stabilizer to improve dynamic stability

Biogas Production from Water Hyacinth