Power system state estimation by using a generalized maximum likelihood method
Abstract
In the operation of modern power systems, the state parameters of the systen in real time need to be calculated and measured with high accuracy in order to provide the data needed for assessment and control the safety of the power supply and the economics of the system. This requirement can be implemented by using power system state estimation methods and it is a main task of the electricity system control centers. Therefore, the main purpose of this paper is to study and implement the power system state estimation algorithm by using a generalized maximum likelihood estimation method. In addition, the conventional weighted least square method is applied in power system state estimation problem. Both estimation methods are utilized to estimate the operation parameters of the IEEE 57-bus system. The estimated values of voltage and bus angle by using two proposed methods were compared with the state parameters of the IEEE 57-bus system.