| With the rapid development of economy as well as the growth of social electricityload, the strength of grid construction also increases gradually. Owing to the situationthat the investment estimation of grid projects covers a wide range, influenced by manyfactors and has high uncertainty, the power grid planning department has become adifficult problem that need to be solved. In order to allocate and use the grid projectconstruction funds more scientifically, the Power Grid Corporation needs to calculatethe investment of grid project objectively and accurately from a macroscopic. Therefore,it is necessary to develop a set of practical Power Grid Corporation funds projectsestimating system to provide investment planning references.In this paper, based on the actual situation that the historical data are few and hasmany influencing factors, a gray model used to estimate investment has been researched.Firstly, the inner links between the selected assessment indicators and investment havebeen analyzed. Secondly, after getting the index incidence degree sequence, a GM(1, N)investment calculation model has been set up by using the grey modeling theory. Finally,the predictive value of the next year’s grid project investment can be calculatedaccording to the model. Thus it can provide a basis for investment decisions to thePower Grid Corporation.In view of the actual needs, a software of Power Grid Corporation funds projectsestimating system has been designed and implemented in this paper based on theestablished GM(1, N) investment calculation model. Through the test, this softwaresystem can meet the needs of Power Grid Corporation. And the operation is simple, theinterface is friendly. |