Conference Papers

Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506

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Subject: search.filters.subject.Fuzzy logic controller

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    Fuzzy logic based coordinated voltage regulation method for distribution system with multiple synchronous generators
    (2010) Gaonkar, D.N.; Pillai, G.N.
    The continued interest in the distributed generation (DG) sources in recent years is leading to the growth of a number of generators connected to distribution networks. The steady-state voltage rise resulting from the connection of these generators can be a major obstacle at the lower voltage levels. Present network design practice is to limit the generator capacity to a level at which the upper voltage limit is not exceeded. This reduces the efficiency of DG system. This paper proposes a coordinated voltage control scheme using fuzzy logic based power factor controller, for distribution network with multiple Distributed generation systems. In the proposed scheme individual generators participate in voltage regulation of the distribution system, based on their participation factor determined using sensitivity analysis. The simulation results presented in the paper show the effectiveness of the method. © 2010 IEEE.
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    Fuzzy logic based coordinated voltage regulation method for distribution system with multiple synchronous generators
    (2010) Gaonkar, D.N.; Pillai, G.N.
    The continued interest in the distributed generation (DG) sources in recent years is leading to the growth of a number of generators connected to distribution network. One of the major concern due to connection of these generators is the rise in steady state voltage level of distribution system. Present network design practice is to limit the generator capacity to a level at which the upper voltage limit is not exceeded. This reduces the efficiency of DG system. This paper proposes a coordinated voltage control scheme using fuzzy logic based power factor controller, for distribution network with multiple synchronous generators. In the proposed scheme individual generators participate in voltage regulation of the distribution system, based on their participation factor determined using sensitivity analysis. The simulation results presented in the paper show the effectiveness of the method. © 2010 IEEE.
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    An optimal fuzzy logic controller tuned with artificial immune system
    (Springer Verlag service@springer.de, 2013) Omkar, S.N.; Ramaswamy, N.; Ananda, R.; Venkatesh, N.G.; Senthilnath, J.
    In this paper, a method for the tuning the membership functions of a Mamdani type Fuzzy Logic Controller (FLC) using the Clonal Selection Algorithm(CSA) a model of the Artificial Immune System(AIS) paradigm is examined. FLC's are designed for two problems, firstly the linear cart centering problem and secondly the highly nonlinear inverted pendulum problem. The FLC tuned by AIS is compared with FLC tuned by GA. In order to check the robustness of the designed FLC's white noise was added to the system, further, the masses of the cart and the length and mass of the pendulum are changed. The FLC's were also tested in the presence of faulty rules. Finally, Kruskal-Wallis test was performed to compare the performance of the GA and AIS. An insight into the algorithms are also given by studying the effect of the important parameters of GA and AIS. © 2013 Springer.