Algorithmic study demonstrates enhanced convergence and reduced memory storage in optimal load flow calculations, highlighting a more efficient approach to power grid optimization.
A minimization algorithm is presented as applied to the optimal load flow problem. Lagrangian multipliers and Newton's method (with the Hessian matrix replacing the Jacobian) are used. The method provides good convergence behaviour and requires less storage than other methods.
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Rashed et al. (1974) studied this question.