Manisha Dubey

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This paper presents a methodology for the design of fuzzy logic power system stabilizers using genetic algorithms. In the proposed fuzzy expert system, speed deviation and its derivative have been selected as fuzzy inputs. In this approach genetic algorithm have been used for tuning the parameters of the fuzzy logic controllers. Incorporation of GA in the(More)
This paper presents an approach for the design of fuzzy logic power system stabilizers using genetic algorithms. In the proposed fuzzy expert system, speed deviation and its derivative have been selected as fuzzy inputs. In this approach the parameters of the fuzzy logic controllers have been tuned using genetic algorithm. Incorporation of GA in the design(More)
This paper presents an approach for the design of fuzzy logic power system stabilizers using genetic algorithms. In the proposed fuzzy expert system, speed deviation and its derivative have been selected as fuzzy inputs. In this approach the parameters of the fuzzy logic controllers have been tuned using genetic algorithm. Incorporation of GA in the design(More)
The proposed work introducing new coefficients and some modern control parameters such as sensitivity (s(t)) and probability of nectar (p(t)) and modification of the conventional parameter (Φ). With presenting these parameters the performance and searching ability of the BF-PSO is significantly increased compared to standered PSO. This new algorithm is(More)
One of the superior optimization algorithms amongst all earlier introduced algorithms is the particle swarm optimization algorithms. This paper introduces Butterfly Particle swarm optimization (BF-PSO) with some novel control parameters such as sensitivity of butterfly towards nectar by different means of communication and probability of the nectar(More)
This paper presents a Model Reference Adaptive System (MRAS) based speed sensorless estimation of vector controlled Induction Motor Drive. MRAS based techniques are one of the best methods to estimate the rotor speed due to its performance and straightforward stability approach. Depending on the type of tuning signal driving the adaptation mechanism, MRAS(More)
Low frequency oscillation problems are very difficult to solve because power systems are very large, complex and geographically distributed. Therefore, it is necessary to utilize most efficient optimization methods to take full advantages in simplifying the problem and its implementation. From this perspective, many successful and powerful optimization(More)
This paper presents the implementation of interactive Artificial Bee Colony algorithms based multiband power system stabilizers in multimachine power system. In the proposed artifical expert system, generator speed deviation and accelerating power are chosen as input signals to multiband power system stabilizer. The problem of selection of optimal(More)