State and Parameter Estimation for Microgrids

Advanced applications of microgrid operation require accurate knowledge about the system operating state and model parameters. This information may not be directly and completely available to system operators. State and parameter estimation are powerful technologies for inferring unknown states and models of microgrids from available measurements. This chapter addresses the motivation, concept, methodology, and validation of state-of-the-art state and parameter estimation technologies for enabling microgrid visibility and situational awareness. Inverter-based resources and network components are two main types of components in the discussion. The versatility of the presented technologies is demonstrated via theoretical derivations or experimental results under a variety of application and operational scenarios.