2003
DOI: 10.1007/978-3-662-05955-5
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Autonomous Systems and Intelligent Agents in Power System Control and Operation

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Cited by 135 publications
(66 citation statements)
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“…The particles in the swarm were defined as described above by the 27-dimensional vector, x. The basic form of the fitness function of the PSO was similar to that in Equation (19), except that it was modified to the form of the average of cn cases. The optimized FIS was determined from the final output of the PSO algorithm, which was oriented only to that target distribution system.…”
Section: Optimization Of the Fuzzy Inference Systemmentioning
confidence: 99%
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“…The particles in the swarm were defined as described above by the 27-dimensional vector, x. The basic form of the fitness function of the PSO was similar to that in Equation (19), except that it was modified to the form of the average of cn cases. The optimized FIS was determined from the final output of the PSO algorithm, which was oriented only to that target distribution system.…”
Section: Optimization Of the Fuzzy Inference Systemmentioning
confidence: 99%
“…The objectives of our problem are to minimize the reactive power cost function defined as Equation (18) while maintaining the last bus voltage at the predetermined reference, which is 0.95 in this case. The optimization problem has a similar form as Equation (19), and it can be represented as:…”
Section: Conflicts Of Interestmentioning
confidence: 99%
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“…In recent years, several researchers have proposed multiagent designs as a way to increase performance of these systems [11], [12]. While all of these have essentially been academic exercises, their introduction has merit in the fact that they consider multi-level autonomy and peer negotiation for resources.…”
Section: A Power Transmission Substationmentioning
confidence: 99%