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Excitation system plays a key role in realistic simulation and analysis of the dynamic performance of electrical power systems. However, simulation results with parameters provided by manufacture can usually not match the real operation. Therefore, parameter identification based on field data is focused on. In this paper, parameter identification methods based on particle swarm optimization (PSO)...
This paper presents a dynamic modeling and simulation of a high speed single shaft micro-turbine generation (MTG) system for grid connected operation and shows genetic algorithm (GA) role in improvement of control system operation. The model is developed with the consideration of the main parts including: compressor-turbine, permanent magnet (PM) generator, three phase bridge rectifier and inverter...
This paper focuses on designing of output feedback controller for PSS and TCSC based on genetic algorithm (GA) in order to damp the Low Frequency Oscillations (LFO). For this purpose a Single Machine Infinite Bus (SMIB) system with TCSC located at the terminal of generator has been considered. To earn the optimum values of the gains of the output feedback controller for PSS and TCSC, the GA has been...
This paper presents the design of fuzzy logic power system stabilizers using genetic algorithms in multimachine power system. In the proposed fuzzy expert system, generator speed deviation and acceleration are chosen as input signals to fuzzy logic power system stabilizer. In this approach gains, centers of membership functions and the parameters of the fuzzy logic controllers have been tuned using...
This paper presents a review of many previous papers on the use of genetic algorithms (GA) for solving the problem of economic load dispatch (ELD) for power systems. The paper will cover several topics, i.e. a brief description of the GA method, the various power system models and topologies solved by the GA method, various GA techniques used for ELD, and hybrids of GA with other techniques for solving...
In this paper, an optimal approach based on genetic and simulated annealing algorithm (GASA) is prosposed to design more effective and robust subsynchronous damping control (SSDC) of Static Var Compensator (SVC) for multimodal SSR damping improvement. A practical multi-machine series compensated power system suffering multimodal SSR has been studied to demonstrate the effectiveness of the approach...
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