IEEE Power & Energy Magazine - January/February 2016 - 34

information transfer must not only be automated between
systems that were designed independently, but the hundreds of transfers involved in complex processes must all
be semantically compatible with one another to achieve the
required end result.

The Need for Data Exchange Standards
the need for data exchange standards is confirmed by many
utilities and industry organizations. the integration of ress
around the world, a major target of energy and climate
policy objectives for 2020 and beyond, will affect existing
electricity grid infrastructure, operations, and the functioning of the electricity market itself. the integration of renewables into the power system requires their variability to be
balanced. this can be tackled by electricity grids operating
smartly and cost effectively. to do this, a seamless and efficient information exchange is necessary at various stages,
between an increasing number of companies such as tsos,
dsos, and generators. such information exchanges have
become indispensable in network planning (high-voltage dc
network development and interconnection development to
tackle congestion), power system operation (real-time information on the generation output and balancing control), and
electricity market (generation schedules, trades, balancing
resource management).
in its proposal for use of standardised component models for power flow and dynamics cases, the north american electric reliability corporation (nerc) recognized a
growing need for accurate interconnection-wide power flow
and dynamics simulations to analyze frequency response,
interarea oscillations, and interactions between wide-area
control and protection systems. the use of proprietary
approaches is preventing the free flow of information necessary for interconnection-wide power system analysis and
model validation. the ability of the different utilities and
network operators to exchange data allows them to collaborate to understand system issues and develop solutions.
the objective of the recently adopted european network
code on capacity allocation and congestion management is
to create the largest and most competitive electricity market
in the world. the guideline sets out the rules that will enable
a transition from the current system, in which there are different rules for electricity market participants in different
countries or regions, to a single set of electricity market
rules applied across europe. the code states "...to implement single day-ahead and intraday coupling, the available
cross-border capacity needs to be calculated in a coordinated
manner by the transmission system operators (hereinafter
"tsos"). For this purpose, they should establish a common
grid model including estimates on generation, load and network status for each hour. the available capacity should normally be calculated according to the so-called flow-based
calculation method, a method that takes into account that
electricity can flow via different paths and optimizes the
available capacity in highly interdependent grids...."
34

ieee power & energy magazine

according to the network code, the common grid model
"...means a Union-wide data set agreed between various
tsos describing the main characteristic of the power system
(generation, loads and grid topology) and rules for changing these characteristics during the capacity calculation
process..." in addition to this network code, the upcoming
codes on operational security and planning and scheduling
will also require use of a common grid model to fulfill the
tasks and obligations defined therein.
the european long-term planning studies, such as the
ten-year network development plan (tyndp) and regional
investment plans, demand a high degree of coordination and
consistency in the data exchanges. Without having a common data exchange standard, it would take a large number
of resources to perform credible studies and deliver results.
therefore the needs are clear: tsos, third parties, and service providers need to use commonly agreed upon and compatible data exchange formats.
however, there are a number of questions asked in different communities:
✔ how do we, as an industry, define "common" methods, processes, interfaces, and data?
✔ how do we ensure broad agreement and the adoption
of necessary standards?
✔ how do we develop and maintain these standards and
tools into the future?
More specifically, answers are needed not only from network
operators but also from all the participants in electricity
markets. this frequently requires agreements with national
regulators and changes to national or regional regulations of
markets or system access rules.
Most of the required studies relate to system development, operation and planning, security or reliability analyses, and any other studies or analysis necessary in which
different parties contributing to a study use common data
sets and share the analysis work. to achieve this, it is essential that the power system analyses tools are able to exchange
information from other tools.
the use of standards is the only way to approach these
issues. the iec ciM set of standards has been widely used
in the last decade as the best practice to achieve interoperability. in the United states, many utilities are using ciMs to
integrate different it applications/systems and to exchange
information such as power system network models between
parties in the different regions. in europe, the entso-e
developed the common grid Model exchange standard
(cgMes) based on the iec ciM standards and established
a framework to assess and confirm the conformity of the
suppliers' applications to the cgMes.
it is common knowledge that standards are the most
effective way of achieving full compatibility and interoperability. the ciM comprises a series of international iec
standards that greatly facilitate interoperability where multiple vendor products are involved in the exchange of common grid models and other related information both between
january/february 2016



Table of Contents for the Digital Edition of IEEE Power & Energy Magazine - January/February 2016

IEEE Power & Energy Magazine - January/February 2016 - Cover1
IEEE Power & Energy Magazine - January/February 2016 - Cover2
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IEEE Power & Energy Magazine - January/February 2016 - Cover3
IEEE Power & Energy Magazine - January/February 2016 - Cover4
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