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Abdollahi, Mostafa
- Power System Stabilizer Tuning in Multi Machine Electric Power Systems
Abstract Views :423 |
PDF Views:114
Authors
Affiliations
1 Department of Electrical Engineering, Boroujen Branch, Islamic Azad University, Boroujen, Iran
1 Department of Electrical Engineering, Boroujen Branch, Islamic Azad University, Boroujen, Iran
Source
Indian Journal of Science and Technology, Vol 4, No 12 (2011), Pagination: 1619-1623Abstract
Power System Stabilizers (PSS) are used to generate supplementary damping control signals for the excitation system in order to damp the Low Frequency Oscillations (LFO) of the electric power system. The PSS is usually designed based on classical control approaches but this Conventional PSS (CPSS) has some problems. The CPSS is usually designed based on a linear model of the plant for a particular operating point. However, power systems are inherently nonlinear and the operating point frequently changes. Therefore, CPSS performance may deteriorate under variations that result from nonlinear and time-variant characteristics of the controlled plant. In this paper, to develop a highperformance PSS for a wide range of operating conditions, meta-heuristic optimization methods such as Particle Swarm Optimization (PSO) and Genetic Algorithms (GA) are used for tuning PSS parameters. The proposed optimization methods are evaluated against each other at a multi machine electric power system considering different loading conditions. The simulation results clearly indicate the effectiveness and validity of the proposed methods.Keywords
Multi Machine Power System, Low Frequency Oscillations, Particle Swarm Optimization, Power System StabilizerFull Text
References
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- Multi Machine Power System Identification by Using Recursive least Square Method
Abstract Views :493 |
PDF Views:101
Authors
Affiliations
1 Department of Electrical Engineering, Boroujen Branch, Islamic Azad University, Boroujen, Iran
1 Department of Electrical Engineering, Boroujen Branch, Islamic Azad University, Boroujen, Iran
Source
Indian Journal of Science and Technology, Vol 4, No 12 (2011), Pagination: 1624-1629Abstract
Electric power systems are nonlinear and complicate in nature. Along with increasing size of power systems, their complexity becomes more. Besides, by using additional and auxiliary components such as Flexible AC Transmission Systems (FACTS) devises, Power System Stabilizers (PSSs), excitation systems, turbine-governor systems and etc, the dynamic model of network is increased and power system becomes more complicate. The nonlinear dynamic model of these large power systems is easily obtained. But, the complexity makes it difficult to obtain a linear dynamic model of power system. Obtaining an appropriate linear model is necessary in order to analysis and study of power system. In tradition method, a linear dynamic model of power system is obtained by linearization of nonlinear dynamic model around an operating condition. But in large electric power systems, the linearization technique is very sophisticate and maybe impossible. Concerning this matter, in this paper a Recursive Least Square (RLS) technique is used to parameter identification in a multi machine electric power system. In this method a linear model is assumed for power system and its parameters are accurately computed by using RLS method. In order to verifying the results, the obtained linear model is compared with the nonlinear model. The simulation results show the validity of identified model, as the response of identified linear model is very near to nonlinear model.Keywords
Recursive Least Square, Multi Machine Electric Power System, Nonlinear Simulation, System IdentificationFull Text
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- Shoorangiz Shams Shamsabad Farahani, Mehdi Nikzad, Mohammad Bigdeli Tabar, Mehdi Ghasemi Naraghi and Ali Javadian (2011a) Multi-machine power system stabilizer adjustment using genetic algorithms. Indian J.Sci.Technol. 4 (8), 881-885. Domain site: http://www.indjst.org.
- Shoorangiz Shams Shamsabad Farahani, Mehdi Nikzad, Mohammad Bigdeli Tabar, Mehdi Ghasemi Naraghi and Ali Javadian (2011b) Multi-machine power system stabilizer adjustment using Simulated Annealing. Indian J.Sci.Technol. 4 (8), 886-889. Domain site: http://www.indjst.org.
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