Utilization of Genetic Algorithms and Constrained Multivariable Function Minimization to Estimate Load Model Parameters from Disturbance Data
As the requirements to operate the electric power system become more stringent and operating costs must be kept to a minimum, operators and planners must ensure that power system models are accurate and capable of replicating system disturbances. Traditionally, load models were represented as static...
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Virginia Tech
2013
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| Online Access: | http://hdl.handle.net/10919/23289 |