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Modelling of DC Power Equations Applied to State Estimation in High Renewable Penetration Power Systems

Abstract:

Growth in power systems has led to an increase in operational complexity, highlighting the importance of maintaining them in optimal conditions. State estimation in electric power systems is a crucial tool for determining the state of transmission networks through the use of sensors and topology information. This information is then utilized for contingency analysis and error detection/identification to ensure system reliability. To maintain optimal power system operations, state estimation and its associated techniques are critical components. This work focuses on analyzing DC state estimation using a statistical method and weighted least squares methodology. Anomalous measurements are filtered and corrected using Chi-Square. The algorithm was developed in MATLAB and verified in DIgSILENT PowerFactory. The IEEE 14-bus system, with added wind turbines, was used as a test system to determine security in the power grid through estimator confidence parameters. The results provide valuable insights into the efficacy of the DC state estimation process.