Estimation Algorithm Based On The Status Of The Least Squares Method

At present, all levels of the electrical network automation systems have adopted SCADA, and the application software is needed urgently. Among these power application softwares(PAS), the state estimation is playing a very important role in providing a rich, accurate and reasonable data for PAS.The power system state estimation involves network topology, network observability analysis, state estimation and detection and identification of bad data. The result of state estimation is returned to SCADA as a replenishment of the data in SCADA.The paper carries on the research of network topology, algorithm of state estimation and detection and identification of bad data, and applies the method of tracking search to network topology, semi-dynamic optimization to node numbering, algorithm of weighted least-squares with constraints to stateestimation and r_N to detection and identification of bad data. The calculation ismade for electrical network according to its circumstances in Shandong. The result of calculation is reasonable and accurate, which shows that the procedure possesses good practicability.