| Title |
A Study on the State Estimation for Distribution Substations |
| Authors |
Heung-Jae Lee ; Sung-Min Park ; Kyeong-Seob Lee |
| Abstract |
The validity of measured data is fundamental factor for the power system automation. Measured values could have error that are caused by the communication errors and malfunctioning measuring devices. The accuracy and reliability of measured values at a substation is an important condition for robust and fault tolerant automata. Error can be reduced by state estimation, however, global reliability of state estimation goes down in case of the existence of some bad data. In this paper, a least square state estimation and bad sensor detection algorithm based on chi-square theory, are proposed and it is applied to a domestic 154㎸ distribution substations. A simulator together with user friendly graphic users interface is developed using C language and Visual Basic. TCP/IP is equipped for future connection with other operation systems. |