Orthogonal Transformation State Estimation Based on Generalized Tellegen’s Theorem

One of the most important ways to enhance the speed of state estimation is to establish the constant matrix Jacobian. This essay puts forward a new type of orthogonal transformation state estimation method based on Generalized Tellegen's theorem. This paper uses orthogonal transformation method to improve state estimation’s numerical stability, and makes the algorithm enjoy an ideal convergence. Moreover, it has strong compatibility of various distribution measurements. The method put forward in this essay has been verified through IEEE-30 Node System, and the efficiency of it has been fully proved by the example results.