  As the fast growth and large integration of distributed generation, renewable
energy resource, energy storage system and load response, the modern power
system operation becomes much more complicated with increasing uncertainties
and frequent changes. Increased operation risks are introduced to the existing
commercial Energy Management System (EMS), due to its limited computational
capability. In this paper, a high-performance EMS analysis framework based on
the evolving graph is developed. A power grid is first modeled as an evolving
graph and then the power system dynamic analysis applications, like network
topology processing (NTP), state estimation (SE), power flow (PF), and
contingency analysis (CA), are efficiently implemented on the system evolving
graph to build a high-performance EMS analysis framework. Its computation
performance is field tested using a 2749-bus power system in Sichuan, China.
The results illustrate that the proposed EMS remarkably speeds up the
computation performance and reaches the goal of real-time power system
analysis.
