Intelligent Architecture for Enhanced Observability for Active Distribution System

There is a rapid increase of renewable energy resources (RE) and demand response resources (DRR) in the distribution networks. This is challenging for the reliable and stable operation of the grid. So, to ensure secure, optimized and economical operation in such active distribution grids they need to utilize advanced solutions by observing the system state in real time. Existing distribution automation and control system have to be upgraded to meet this technological challenge. This necessitates the use of real time system states of the grid which is a crucial factor for system operation in higher accuracy. Therefore, in this paper observability scope and evaluation methodology for the future active distribution network with high penetration of renewable resources and flexible loads are analyzed and reviewed. Based on the state of the art a high level architecture has been formulated and presented for active distribution network which satisfies the need for higher observability reach with less field observation. Improved state estimation with composite load forecasting model is aimed for enhanced observability. This paper also summarizes the application of intelligent architecture in the operation of distribution network by some scenarios.