Applcation Of Power System Reactive Power Optimization Based Classic Method

This thesis is to study the algorithm of reactive power optimization in power system. Combined with some current technologies of reactive power optimization, it gives a brief overview of some current calculating methods of reactive power optimization with considerations of voltage quality, system security and economy. In classical methods of flow calculation, solving processes of linear equations are widely used, including triangular decomposition, Gaussian elimination method and so on. In terms of such above, the thesis explores methods to speed up the calculation in power system based on Sparse Matrix Technology and symmetry principle. Meanwhile, researches on the formation of Admittance Matrix are also made. In order to better improve the calculating speed of reactive power optimization and simplify its algorithm in power system, the thesis proposes concrete measures concerning to the storage of Admittance Matrix. It also analyzes in detail some new thoughts on the formation of Jacobian Matrix.As to classical methods of reactive power optimization, the thesis puts emphases on Admittance Matrix and Jacobian Matrix approaches of calculating incremental transmission losses. Reactive power optimization is based on active power optimization, attaining optimization on the basis of the realization of active power optimization. In short, the main idea of the thesis is to improve the calculating speed as much as possible, save calculating time, reduce memory for calculation and improve accuracy so as to fully achieving the reactive power optimization in power system.