A New Modeling Approach for Power Grid Online Analysis

Abstract

Abstract A new modeling approach for power grid online analysis is proposed to support the realization of a new online analysis system architecture. The model-driven software development, automatic code generation, and in-memory computing techniques are employed in the modeling approach. Data source adapters are developed for the integration of the model with the existing EMS system. A large-scale power grid online network data model (~40K-bus) is used for the model performance testing in a Lab environment. The proposed modeling approach was used to develop a new online analysis application, which was deployed and running in a provincial grid dispatching control center. The Lab and field performance measurement shows that the modeling approach-based application can achieve second-order end-to-end responsiveness.