The Application Research On Active Power Flow Optimization In Power System Based On Classical Algorithm

With the development of power system scale,higher requirements are put forward for economic dispatch,the static active power optimization of classical algorithm plays an important role in active power economic scheduling because of its fast computation speed and high reliability.This paper introduces the static active power optimization based on classical algorithm in detail,and the sparse matrix technology is applied to the formation of node admittance matrix,the solution of power network equation,the calculation of power flow,the calculation of the network loss micro-increase rate and the distribution of active power optimization.Firstly,this paper forms that only stores the non-zero elements of the upper triangle according to the symmetry and sparsity of the node admittance matrix,those character are used in gaussian elimination method and symmetrical CU tiangle decomposition to solve the power network equations,and combing the above node admittance matrix and power network equation solving method in power flow calculation with reasonably sparsity.Secondly,this paper describes 11 kinds of the network loss micro-increase rate algorithms,and compares the time of them between using and no using sparsity.Algorithms with sparsity is better than the traditional one through numerical examples.Finally,in combination with the previous part of this paper,using different network loss micro-increase rate algorithms in static power optimization.Through the analysis of four kinds of standard node systems,comparing the time of introduced and unintroduced sparsity,and analyzing the influence of coordinate system,balanced node calculation and simplified algorithm on active power optimization.