Steady State Estimation of Power Distribution Networks with Distributed Generation using Integrated DC Load Flow and Weighted Least-Square Algorithm

Monitoring of a power system is essential in order to ensure reliability, safety, and security. However, metering devices, which are commonly used in a power system are prone to errors. Most of the time, these errors occur at random and due to man-made means, environmental, or system failures that can greatly affect the whole power system. Several methods and estimation techniques are emerging to anticipate such occasions. In this study, the researchers performed power system state estimation on an IEEE 14-Bus Test Case with Distributed Generation injection using Weighted Least Square method. At least three metering devices that were subjected to errors were considered; there were also cases that contained zero reading and contingency. To be able to perform state estimation, the researchers performed DC load flow analysis to acquire the power flows of the line. Then, an error ranging from -5% to + 5% were injected to the selected meters. The data coupled with error was then simulated to the modelled WLS algorithm. To verify the result from the algorithm, it was compared to ETAP, and the researchers conducted T – Test. Based from the parametric test (or statistical test), the t – value is less than the t – critical. The estimated data from MATLAB is almost equal to the true value from ETAP. Therefore, the researchers were able to develop an accurate PSSE using WLS method.