IEEE Power & Energy Magazine - March/April 2020 - 57

Without fast and accurate calculations, timely responses
to real-time events would be impossible, and reliable
power-system operations would be at risk.
supervisory control and data acquisition (SCADA)/EMS data
from dispatching systems, and, thus, simulate the system based
on practical operating conditions. High-performance computing with parallel-computing and hardware-in-the-loop technology enables system analysts to simulate power systems with
more than 50,000 nodes and 3,000 generators in real time.
In this architecture, relevant physical devices, such as
power converters, protection relays, and automation controllers, are connected to the ADPSS through physical interfaces
and/or IEC 61850 interfaces with the digital model of the
system for an integrated TS and EMS hybrid simulation. The
hardware-in-the-loop capability ensures that devices' highfidelity characteristics are represented and studied with the
whole power system. The simulation center began operating
in 2017. Since then, it has systematically improved powersystem simulation accuracy and efficiency for the State Grid
and been used as a key resource to analyze and study the wide
range of scenarios and events related to UHV ac/dc transmission projects.

EMS
The electrical power system is changing into a highly interconnected, large, and complex network linking conventional
and renewable-energy sources to load centers via UHV
transmission lines. Electricity transactions across broad

areas are enabled by UHV transmission, resulting in large
amounts of power flowing over a wide region. The large and
complex power network makes it challenging for the EMS
to respond quickly to situations. The EMS is evolving to
address the rapid-response requirements. Without fast and
accurate calculations, timely responses to real-time events
would be impossible, and reliable power-system operations
would be at risk.
For the next-generation EMS, State Grid engineers are
developing a novel database architecture and fast, parallel
methods to achieve computation cycle times that exceed the
SCADA sampling rate (Figure 3). An EMS prototype developed for installation in a provincial control center processes
a model of 2,643 buses and 3,185 branches. The key realtime applications of the EMS include state estimation, power
flow, and contingency analysis. Those calculations are performed significantly faster than with the traditional serialcomputing-oriented EMS, and all three applications can be
completed within a SCADA sampling cycle. The prototype
has been running every 5 s using real SCADA telemetered
data since August 2018. Various execution-time metrics are
used to compare it with a traditional commercially available
EMS, as shown in Tables 2 and 3. A test was conducted on
a server unit with two CPUs (six cores × two threads at
2.1 GHz). Table 2 compares the performance of the traditional

figure 3. The EMS prototype has a faster-than-SCADA sampling time. WLS: weighted least square; Decoupled P-Q:
active-reactive power-decoupled power flow.
march/april 2020	

ieee power & energy magazine 	

57



IEEE Power & Energy Magazine - March/April 2020

Table of Contents for the Digital Edition of IEEE Power & Energy Magazine - March/April 2020

Contents
IEEE Power & Energy Magazine - March/April 2020 - Contents
IEEE Power & Energy Magazine - March/April 2020 - Cover2
IEEE Power & Energy Magazine - March/April 2020 - 1
IEEE Power & Energy Magazine - March/April 2020 - 2
IEEE Power & Energy Magazine - March/April 2020 - 3
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IEEE Power & Energy Magazine - March/April 2020 - 96
IEEE Power & Energy Magazine - March/April 2020 - Cover3
IEEE Power & Energy Magazine - March/April 2020 - Cover4
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