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In the year 1995, Dr R.C. Eberhart, who was an electrical engineer, along with Dr. James Kennedy, a social psycologist invented a random optimization technique which a was later named as Particle Swarm Optimization. As the name itself asserts that this method draws inspiration from natural biotic life of swarms of flocks. It uses the same principle to find most optimal solution to problem in search...
This paper presents the controller design for DFIG driven by variable speed wind turbine by exploitation SOF technique. PID controller based supervisory control design and PI controller using SOF technique have been described in this paper. The obtained results are compared with existing method for performance enhancement of the DFIG and wind energy conversion system.
This paper deals with the development of square-root balanced truncation algorithm to reduce the order of power system models along with the preservation of interaction relations between study area and the external area. Further, the balanced approach is extended with the singular perturbation approximation technique. For illustration of developed algorithms, external area model of a four machine...
This paper intends to the development of order reduction technique for reduction of non-minimal systems which is a combination of square-root approach and schur decomposition algorithm. The proposed technique alleviates the practical difficulties in computations of balancing transform for non-minimal systems. A numerical example is considered to validate the proposed algorithm and the comparison with...
In this paper Enns' frequency weighted balanced truncation approach is extended using balanced singular perturbation approximation and square-root approach. As the requirement of accuracy in approximation error at particular frequency range may differ from the requirement at another frequency range which formulate the frequency weighted model reduction problem. A numerical example is considered to...
In this paper a new frequency weighted model reduction algorithm is proposed which is based on a combination of Wang et al's technique [14] and balanced singular perturbation approximation. The proposed algorithm results stable reduced order models with both single sided and double-sided weightings. A numerical example is considered to validate the proposed algorithm and the comparison with other...
In this paper a new frequency weighted optimal Hankel norm model reduction algorithm is proposed which is based on a combination of Wang et al's technique [14] and Varga and Anderson's technique [13]. The proposed algorithm results stable reduced order models with both single sided and double sided weightings. A numerical example is considered to validate the proposed algorithm and the comparison...
This paper presents a generalized frequency weighted optimal Hankel norm model reduction (GFWOHNMR) technique. The proposed algorithm is an extension of approach discussed in [9] and results stable reduced order models with both single sided and double sided weightings. A numerical example is considered to validate the proposed algorithm.
An algorithmic approach to reduced order modelling of discrete-time systems is developed. It preserves the dominant eigenvalues of the original system while minimizing the frequency response deviations between the original system and the reduced model. The coefficients of numerator polynomials of the reduced order pulse transfer function matrix are obtained by utilizing a Fletcher-Powell unconstrained...
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