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An Efficient Algorithm for Power Load Flow Solutions by Schur Complement and Threshold Technique

Ahmed Al Ameri, Cristian Nichita and Brayima Dakyo

This paper deals with a algorithm developed for load flow problems in electrical power systems. Jacobian matrix in Newton Raphson method require large computer memory and take more computation time in calculations. Schur complement method can be reduce memory required by divided Jacobian matrix into two separated matrices with reasonable computation time. The proposed algorithm used this method with threshold technique in order to test different power systems. Results has been compared with Newton Raphson method and Fast Decoupled method in term of influence of convergence properties and algorithm efficiency.