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The design of fuzzy logic controllers involves the rationalization of the Fuzzy Inferencing Rules and the appropriate selection of the input and output membership functions. This typically have been achieved by the application of expert knowledge of plant operation and by the appropriate selection of weighting gains. This paper presents the fuzzy logic controller with certain parameters which can...
Under the control object and the structure of control system built, we set the range of parameters and the objective function and get the best parameters of PID control of the system by genetic algorithm, making use of MATLAB we can do the modeling and simulation of the PID control and fuzzy control. The results of simulation show that the dynamic response of fuzzy control is faster than PID control...
The location and sizing of FACTS controllers for voltage stability enhancement is an important consideration for practical power systems. In this paper, a strategy for placement and sizing of shunt FACTS controller using Fuzzy logic and Real Coded Genetic Algorithm is proposed. A fuzzy performance index based on distance to saddle-node bifurcation, voltage profile and capacity of shunt FACTS controller...
This paper investigates the application of SVC hybrid controller for improving damping inter-area modes of oscillations. The proposed controller comprised fuzzy logic proportional and derivative controller with the conventional proportional and integral controller (FUZZY PD+PI) turn by genetic algorithm techniques. The proposed control scheme implements the characteristics of the GA's global optimization...
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...
An improved Genetic Algorithm (GA) named Head-and-Tail Alternate Crossover GA is proposed to overcome the inefficiency of conventional single-point crossover GA on the optimizing of multi-parameter system. The head-crossover and tail-crossover is used alternately in the algorithm, which ensure that the optimized probability of every parameter is approximately equal. The parameters of fuzzy governor...
This paper presents a novel hybrid power system stabilizer (HyPSS), which is a parallel combination of conventional delta-omega power system stabilizer (CPSS) and fuzzy logic power system stabilizer (FLPSS). HyPSS is aimed at improving both transient and dynamic stability of the system. CPSS parameters and normalization and de-normalization factors of FLPSS are optimized using genetic algorithm (GA)...
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