Comparative Research Of Calculating Incremental Transmission Losses With Various Methods In Classical Method Reactive Power Optimization

The power industry has a lot of energy saving space,but the traditional power generation scheduling model largely limits the promotion of energy saving,in order to implement the development concept "Innovation,Coordination,Green,Open,Sharing" of "Thirteenth Five-year" plan,the rectification is imminent.Upgrading the distribution network,adjusting the power structure,enhancing the supply capacity and enhancing the regulatory capacity are of great positive significance to the"Thirteenth Five-year" plan.On the occasion of the "Thirteenth Five-year Plan" has been on the way,the "Fourteenth Five-year Plan" has begun to take shape,reactive power optimization of power system plays a more important role,and the first problem to be solved is the selection of efficient and accurate reactive network loss incremental rate algorithm.Starting from the mathematical model of power system node network,this paper proposes a fast optimization algorithm on account of the new sparse storage technology,aiming at the shortcomings and problems in the calculation process.Based on this,a fast LR triangle decomposition method based on the improved symmetric sparse matrix technology is proposed.This paper briefly introduces the power flow calculation of power system,compares the calculation speed between rectangular coordinate Newton method and polar coordinates Newton method,and proposes a power flow data storage method based on the P-Q decomposition method of power system which can be read and written quickly based on the sparse technology.The impedance matrix method,admittance matrix method and jacobian matrix method are derived in detail,and the latter two are optimized by using optimization technology,which promotes the calculation speed and productiveness of the algorithm.Based on B" matrix,the new reactive network loss incremental rate algorithm is proposed and improved by using optimization algorithm.The computational values of admittance matrix method,jacobian matrix method and B"matrix method and the time data before and after optimization are obtained through the IEEE node system test and calculation,and the optimization efficiency of each optimization algorithm is concluded.Finally,the classical method of reactive power optimization is used to further verify the effectiveness of the B" matrix method,and the results of reactive power optimization of various reactive network loss incremental rate algorithm are compared and analyzed,and the applicability of each algorithm to reactive power optimization is discussed.