Fuzzy PSS Design for a Multi-machine Power System Using Improved Genetic Algorithm
نویسندگان
چکیده
منابع مشابه
Fuzzy PSS Design for a Multi-machine Power System Using Improved Genetic Algorithm
This paper addresses a robust fuzzy controller to damp low frequency oscillation following disturbances in power systems. In this research the fuzzy controller is used as a Power System Stabilizer (PSS) to improve the stability in power system. The rule base of the proposed PSS is optimized offline automatically by the improved Genetic Algorithm (GA). Usually in a rule base fuzzy control system...
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Particle Swarm Optimization with Time Varying Acceleration Coefficients (PSO-TVAC) is used to optimize Power System Stabilizer (PSS) parameters for a multi objective power system in this paper. In the proposed Syndicate tuning technique, two performances indicates as ITAE and FD are computed for the stability and performance at each of the given set of operating conditions of the system simulta...
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An artificial neural network can be used as an intelligent controller to control non-linear, dynamic system through learning. It can easily accommodate non-linearities and time dependencies. Most common multi-layer feed-forward neural networks have the drawbacks of large number of neurons and hidden layers required to deal with complex problems and require large training time. To overcome these...
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ژورنال
عنوان ژورنال: Computer Science and Engineering
سال: 2012
ISSN: 2163-1484
DOI: 10.5923/j.computer.20120201.01