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最新英文版本:IEC 61970 part 301部分(2016版)
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IEC 61970是国际电工委员会制定的《能量管理系统应用程序接口(EMS-API)》系列国际标准。本书适合英文能力较好的同学查阅。
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IEC 61970 for Energy Management System Integration
Book · August 2016
DOI: 10.1002/9781118755471.sgd094
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IEC 61970 for Energy Management
System Integration
Rafael Santodomingo
1,2
, Mathias Uslar
1
, Michael Specht
1
, Sebastian Rohjans
1
,Gareth
Taylor
2
, Stefan Pantea
3
, Martin Bradley
3
, and Alan McMorran
4
1
OFFIS Institute for Information Technology, Oldenburg, Germany
2
Brunel University, Uxbridge, UK
3
National Grid, Workingham, UK
4
Open Grid Systems Ltd., Glasgow, UK
1 Introduction
Transmission system operators (TSOs) are responsible for operating electricity power transmission
networks. In order to do this, TSOs carry out a number of functions, such as asset management, planning,
and operations, which require different model representations of the same network. The power system
applications performing such functions must interoperate; that is, they need to exchange data with each other
with the aim of co-operating over complex control and management tasks. This typically results in data man-
agement issues (e.g., redundancies or data collisions), which can reduce the efciency of the systems that
operate transmission networks. The deployment of smart grid technology leads to further demands regarding
data management since more data coming from smart sensors that are widely installed across the networks
will be processed by power system applications. This implies new interoperability challenges for TSOs.
An established way of coping with interoperability aspects is standardization. Given the increasing need
for standardization in smart grids, many national and international studies have analyzed the standardization
environment in this domain. For instance, the roadmap for smart grid interoperability standards developed
by the National Institute of Standards and Technology (NIST) of the US Department of Commerce pro-
vides a conceptual reference model to identify standards that support interoperability of the smart grid
(National Institute of Standards and Technology (NIST), US Department of Commerce, 2010). In Europe,
the European Commission M/490 mandate to the European Standardization Organizations (ESOs) aims at
developing a set of consistent standards within a common European framework to achieve interoperability in
future electricity networks. One key outcome of the M/490 mandate is the Smart Grid Reference Architecture
Smart Grid Handbook, Online © 2016 John Wiley & Sons, Ltd.
This article is © 2016 John Wiley & Sons, Ltd.
This article was published in the Smart Grid Handbook in 2016 by John Wiley & Sons, Ltd.
DOI: 10.1002/9781118755471.sgd094
2 Smart Grid Handbook
Model (SGAM), which was developed by the ESOs to identify the most relevant smart grid standards and
future standardization actions (CEN-CENELEC-ETSI Smart Grid Coordination Group, 2012). In Uslar et al.
(2013), an overview of the most important roadmaps on smart grid interoperability is given, summarizing
the consolidated results in order to present a set of core information and communication technologies (ICT)
standards for the realization of smart grids.
All the aforementioned studies highlight the International Electrotechnical Commission (IEC) as the main
standardization body in the electricity sector. In particular, the IEC Technical Committee 57 (TC 57) is in
charge of creating and maintaining the most relevant international standards that promote interoperability for
power system management. As explained in the reference architecture dened by the IEC TC57, previous
standardization efforts were mainly focused on the denition of communication protocols for transferring
the data (Draft: IEC 62357-1 – Power Systems Management and Associated Information Exchange – Part 1:
Reference Architecture, 2015). However, the increasing use of object modeling techniques and model-driven
integration (MDI) architectures has shifted the focus to interoperability at the semantic level. This means that
devices and applications from different vendors not only have to exchange data but they also need to share
a common understanding on the semantics of this data in order to interoperate with each other. Therefore,
semantic integration has become a key enabler of future smart grids.
Many IEC standards for the electricity systems include data models formally dening specic domain
terms for information exchange, which signicantly reduce semantic integration efforts. This chapter focuses
on the most widely adopted standard data model for electricity transmission networks, the common infor-
mation model (CIM) as dened in the IEC 61970 transmission series.
The remainder of the chapter is organized as follows. In Section 2, an overview of the CIM IEC 61970
transmission series is given. The CIM IEC 61970 data model and associated exchange formats are described
in Sections 3 and 4, respectively. Some of the most widely used software tools for managing CIM data are
then presented in Section 5. Real case studies showing the benets of adopting the CIM for transmission
system operation and planning are summarized in Section 6. Finally, Section 7 concludes the chapter and
provides an outlook on future work.
2 An Overview of the CIM IEC 61970 Transmission Series
The CIM was originally developed by the Electric Power Research Institute (EPRI) in the United States
with the aim of promoting interoperability with regard to the energy management systems (EMSs) that
supervise and control power transmission networks (EPRI, 2015). At present, it is dened in international
standards developed by the IEC TC57 and has a wider scope covering information exchanges with regard to
electricity markets and distribution management systems (DMSs), which are in charge of managing power
distribution networks. The groups of experts within the IEC T57 responsible for maintaining the CIM work
in close collaboration with the CIM Users Group (CIMug), which is an association of users of the CIM
including utilities, software vendors, manufacturers, consultants, and Research and Development (R&D)
organizations “dedicated to managing and communicating issues concerning the IEC TC57 CIM standards
and to serving as the primary means for developing consensus and consistency across the industry.”
1
The
main objectives of the CIMug are to promote the CIM, provide a central repository for CIM issues and
models, offer a single point of contact for CIM model management, facilitate awareness of CIM products
and implementations, and establish liaison with other standards groups.
The CIM IEC TC57 standards are grouped in three main series: IEC 61970 transmission series, maintained
by Working Group (WG) 13 within the IEC TC57, focus on energy management system applications; IEC
1
CIM Users Group: http://cimug.ucaiug.org/.
Smart Grid Handbook, Online © 2016 John Wiley & Sons, Ltd.
This article is © 2016 John Wiley & Sons, Ltd.
This article was published in the Smart Grid Handbook in 2016 by John Wiley & Sons, Ltd.
DOI: 10.1002/9781118755471.sgd094
IEC 61970 for Energy Management System Integration 3
Guidelines &
glossary
Data model
(semantics)
Profiles
(context)
Formats
(syntax)
IEC 61970-301–
CIM base data model
IEC 61970-452–
State estimation
& power flow
IEC 61970-453–
diagram layout
IEC 61970-456–
solved power
system state
IEC 61970-457–
dynamics
IEC 61970-552–
CIM/XML
IEC 61970-458–
generation
IEC 61970-2–
glossary
IEC 61970-1–
guidelines
IEC 61968-3-9–
CIM/XSD
ENTSO-E
(CGMES)
IEC 61970-
302–
CIM
dynamics
model
Figure 1 Overview of CIM IEC 61970 transmission series
61968 distribution series, maintained by WG 14, are dedicated to distribution management; and, nally, IEC
62325 market series, maintained by WG16, address information exchanges about electricity markets.
Since the scope of this chapter is the standardization and interoperability in terms of transmission net-
work operation and planning, what follows gives an overview of the CIM IEC 61970 transmission series
(Figure 1).
The rst two parts, IEC 61970-1 and IEC 61970-2, introduce the standards by providing general guide-
lines, requirements, and a glossary of terms. The central part of the series is the IEC 61970-301, which
contains the CIM base model; a standard data model formally dening the semantics of the information
exchanged in a broad range of energy management system applications, such as network operation, plan-
ning, and asset management. The latest version of the CIM IEC 61970 standards extend the base model with
the dynamics model as dened in the IEC 61970-302, which is intended to ensure interoperability among
transient stability software products widely used by utilities.
In order to achieve interoperability in a particular application or functionality, it is required to contextualize
the data model; that is, a subset of the data model containing the necessary concepts for that function-
ality must be selected. The subsets of standard data models are commonly referred to as proles.The
IEC 61970-45x series dene some standard proles based on the CIM base model. For instance, the IEC
61970-452 describes the subset of the CIM to execute state estimation and power ow applications, whereas
the IEC 61970-453 standardizes the diagram layout prole for exchanging diagram layout data using CIM.
In addition to the standard proles developed within the IEC 61970 by the IEC TC57 WG13, there are
other well-known proles created by organizations such as the European Network of Transmission System
Operators for Electricity (ENTSO-E).
Once the data model has been contextualized, the next step toward the specication of interoperable energy
management system applications refers to the denition of specic formats for exchanging the data. In other
words, while the data model provides the semantics, the formats of the messages dene the syntax of the
Smart Grid Handbook, Online © 2016 John Wiley & Sons, Ltd.
This article is © 2016 John Wiley & Sons, Ltd.
This article was published in the Smart Grid Handbook in 2016 by John Wiley & Sons, Ltd.
DOI: 10.1002/9781118755471.sgd094
4 Smart Grid Handbook
information exchanges. The IEC 61970-55x series include standard data formats for serializing the CIM
data model. For example, the IEC 61970-552 denes the CIM/XML format for exchanging power system
models.
Subsequent sections describe specic parts of the IEC 61970 transmission series in further detail.
Section 3 presents the CIM data models as dened in the standards IEC 61970-301 and IEC 61970-302,
while Section 4 details the CIM IEC 61970 proles, serialization formats, and communication technologies
for exchanging CIM data in the context of energy management systems.
3 IEC 61970 Data Models
A data model is a representation of concepts, relationships, constraints, rules, and operations to specify data
semantics for a chosen domain of discourse (EPRI, 2015). In the particular case of the CIM base model
dened in the standard IEC 61970-301, the domain of discourse covers the energy management system
applications supervising and controlling electricity transmission networks.
The CIM base model is represented in the unied modeling language (UML), which is a widely used mod-
eling and specication language standardized by the object management group (OMG). The UML denes
different types of diagrams used to graphically model systems. Two of these diagrams are utilized in the
context of the IEC 61970-301 CIM base model: class diagrams and package diagrams.
UML class diagrams describe the classes or specic types of objects being modeled. CIM classes
might represent physical components of the electricity transmission networks, such as cim:Breaker
or cim:PowerTransformer, or more abstract concepts directly related with energy management
functionalities, such as cim:OutageSchedule, which represents the period of time that a piece
of equipment is out of service, for example, for maintenance or testing. Within the class diagrams,
classes are dened by their attributes. The attributes of a class express specic properties of the type
of object that is modeled by the class. For instance, the cim:Breaker class contains the attribute
cim:inTransitTime for detailing the transition time from open to close of a circuit breaker. Moreover,
classes can be associated with each other by means of relationships. There are several types of relationships
in UML. The most commonly used relationships within the CIM base model are generalization, which
are parent–child relationships between two classes – for example, cim:Breaker is a particular type of
cim:ProtectedSwitch; and association, which is a generic semantic relationship between classes
–for example, cim:ConductingEquipment is associated with the cim:Terminal class for dening
electrical component interconnections (Figure 2).
UML class diagrams might become very complex in case of large data models such as the IEC 61970 CIM
models. With the aim of facilitating the representation and management of large data models, UML denes
the package diagrams. Packages represent extracts of UML class diagrams containing sets of classes and
relationships and can be associated with each other by means of dependency relationships. Dependencies
are weaker relationships than associations and signify that a single or a set of model elements requires other
model elements for their specication or implementation; that is, there will be a dependency between two
packages when some classes contained in one of them derive from or are associated with classes included
in the other package. Figure 3 shows the package diagram of the IEC 61970 CIM base model.
What follows briey describes the CIM base model packages, indicating their scope and highlighting their
most relevant classes.
• Domain is a data dictionary of quantities and units dening datatypes for attributes that may be used by
any class in any other package. This package contains the denition of primitive datatypes, including
units of measure and permissible values. Each datatype contains a value attribute and an optional unit
Smart Grid Handbook, Online © 2016 John Wiley & Sons, Ltd.
This article is © 2016 John Wiley & Sons, Ltd.
This article was published in the Smart Grid Handbook in 2016 by John Wiley & Sons, Ltd.
DOI: 10.1002/9781118755471.sgd094
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