Advanced State Estimation for Energy System Integration: Modeling, Algorithms and Applications

The energy system integration (ESI) enhances the utilization of different energy forms and coordinates the energy generation, transmission, distribution and consumption to promote energy efficiency and reduce carbon emission. The optimal operation and control of ESI rely on the accurate models and complete states from state estimation. Although there have been studies on state estimation models and algorithms for heating and natural gas systems, state estimation for general IESs is still challenging because i) they are more complicated than the bulk power systems with multiple energy sectors and time scales, and ii) they are distributed systems with multiple system operators and multi-energy consumers. Existing theories and experiences are not directly applicable. This panel aims to address and disseminate state-of-the-art research regarding state estimation models, algorithms and applications for ESI.