Abstract
Present techniques in stochastic load flow analysis are discussed briefly. High variances of the random variables are usually encountered. The most practical stochastic load flow method which is based upon the least squares estimation technique suffers from the assumption that a linearized model can be used. A new method is discussed based on a second order model and a simple iterative computational procedure. The new algorithm has been applied to a test network. Results are presented and compared with corresponding results using the linearized technique.
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