Researching For Classical Algorithm On Active Power Optimization In Power System

No matter how the power system and power network develop,the classical active power optimization will always dominate them due to its reliability and speed of computation.This paper mainly focused on the research and improvement of the classical algorithm of the power system static active power optimization.And the technique of sparse matrix is applied to both the power-flow calculation and the algorithm of active power incremental transmission losses to accelerate the speed of classical static active optimization.Firstly,the storage of the admittance matrix,the solving of the linear equations of power system and Cartesian coordinate Newton method,together with their faster versions,are proved that the sparse matrix technique can greatly speed up relative power system calculations.Secondly,six kinds of active power incremental transmission losses algorithms are introduced in this paper by fully deducing the formulae.For the convenience of programmers,the specific programming steps are given as well.And the advantages and disadvantages of these six algorithms are compared through the analysis of examples.Moreover,the faster versions of the four within those algorithms are also introduced together with the given examples which prove their efficiency.Finally,by specializing the steps of it,the classical algorithm of the power system static active power optimization is introduced.By means of comparing the time of calculation containing all those improvements mentioned above with the one which not,the result is obvious that it is doable and efficient by applying the technique of sparse matrix to the algorithm of active power optimization.