A Chaos Cloud Particle Swarm Algorithm Based Available Transfer Capability

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Provided by: Institute of Advanced Engineering and Science (IAES)
Topic: Cloud
Format: PDF
A mathematical model for ATC based on optimal power flow was built under the static security constraints, where the maximum of all load nodes in receiving area was considered as aim function. In view of the defects of slow convergence and low accuracy in ATC optimization algorithms, a Chaos Cloud Particle Swarm Optimization algorithm based on golden section criteria (CCGPSO) was proposed. This method classified the particle swarm into three populations based on golden section judge principles according to fitness level. They are called chaos cloud particles, cloud particles and standard particles respectively.
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