Welcome and Introductions

CIM instance data composition

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The Importance of Standards

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EU Smart Grid Update

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Generic Strategy for CIM Based Systems Integration for European Distribution System Operators Despite the availability of the European Smart Grid standardization framework most European distribution utilities are still left in cold, as there is no generic strategy available on how to deploy CIM and how to integrate their crucial systems in the Operation and Enterprise zone , or are even not aware that CIM can be leveraged to solve their problems. The major DSO's systems from the Operation and Enterprise zones which are of interest in the scope of this project are for instance: SCADA and DMS; Outage Management System; Geographic Information System; Software tools to analyze, plan, optimize and simulate the power grid; Asset Management System and Meter Data Management System. It is common for these systems, that their data models must support the description of a network also from the topological and/or geographical point of view. The main issue is how to reach a satisfactory level of integration of these systems.

When implementing CIM based systems integration across the enterprise a step-by-step approach is recommended. Based on the experience with the ongoing project at Slovenian Distribution System Operator (DSO) Elektro Gorenjska and the research being done in the scope of the Distributed Energy Resources Research Infrastructure (DERri) project, following main steps were identified:

• Get to know CIM and related systems integration technologies.
• Get familiar with CIM tools.
• Make a test CIM model of a part of a distribution network.
• Define a vision and strategy.
• Define the implementation process.
• Implement the integration platform.
• Make the first CIM based integration project.
• Continue with CIM based systems integration.

Even if an external systems integrator is to be contracted, steps 1 – 4 are recommended to be carried out by the DSO itself. With this presentation we would like to start a debate on implementing CIM at European distribution level and to highlight the barriers and open issues we need to resolve.

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Utility Project: ELVIS - Optimizing Process Across Business Domains As power utilities continue into the digital age, former system silos are broken down and data is increasingly being shared across lines of business. The ELVIS system built for Fingrid is based strictly on this modern principle. The same network model – the most essential data for a transmission system operator – is shared between all seven ELVIS components, forming a coherent system which will constitute Fingrid’s entire back end. CIM (IEC 61970 v.16) provides the data model for the majority of the components’ data models, as well as internal and external interfaces. As the network model is delivered between components, domain specific extensions are added and data is enriched. It is also being seamlessly transformed between node/breaker and bus/branch representations. The ELVIS solution consists of best in class applications developed and maintained by leading vendors in the utility industry. Key applications include: - ArcGIS (ESRI): Governs the grid master model, as currently operated as well as the planned changes (versions). It is the master source of the network elements and their connectivity. - Maximo (IBM): Maximo for Utilities manages the assets fulfilling the logical grid functions as well as work force and work order aspects. - PSS®ODMS/PSS®E (Siemens PTI): PSS®ODMS is the leading available Industry SW Package for Managing Grid Models in a CIM compliant Way. PSS®E is the de facto standard tool of the TSO industry for doing electrical calculations. This presentation will describe the background and drivers of the ELVIS solution. It will also cover how CIM is applied for delivering the GIS grid model to the electrical design, analysis and calculation components, and subsequently leveraged for producing long and mid-term planning of network, operational planning, protection calculations, fault location calculation and other power system studies. Any electric TSO or large distribution company looking at ways of optimizing processes across GIS, Enterprise Asset Management and Electrical Grid Calculation and Design using standard functionality in a proven setup would benefit from having a look at the Fingrid ELVIS solution.

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Applications of the CIM in DISCERN European Smart Grid Demonstration Project DISCERN (www.discern.eu) – Distributed Intelligence for Cost-Effective and Reliable Distribution Network Operation is a large demonstration project carried out by a consortium of 11 partners from 4 European countries, where RWE Deutschland is the coordinator. The total budget is 7,9 M€, with 4,8 M€ financing by the European Commission under the Seventh Framework Program (FP7). DISCERN builds on five demonstration projects operated by major European DSOs and aims at determining the optimal level of intelligence in the distribution networks. In order to achieve such a goal, DSOs must exchange knowledge with each other in DISCERN. The concept of Leading, Learning and Listening DSO was introduced in the project to facilitate knowledge sharing among DISCERN partners. The presentation will focus on the applications of the Common Information Model (CIM) in DISCERN.

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CIM in the Middle: Integrating Transmission and Distribution Systems Using CIM As utilities see an increase in the amount of small-scale, distributed generation installed on their distribution networks there has been a growing need for highly detailed models on which to study and analyze the impact of these changes to the network. This presentation will discuss a project at Hawaiian Electric Company that integrated transmission and distribution data from multiple sources using CIM as the detailed intermediary format, the benefits of such an approach and the challenges of integrating data in multiple formats and structures.

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Role of CIM in Smart Grid

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CIM to the Device : Data Integration Challenges for Mobile ApplicationsModern mobile devices are capable of running sophisticated, network-enabled applications exploiting a variety of sensors on a single low-cost piece of hardware. The development of a standards-based mobile application decouples the client from a single vendor or existing enterprise system, but requires a complex data integration architecture to support the use and exploitation of large amounts of data spread across multiple existing systems. This presentation will show how leveraging CIM and associated standards allow a mobile application to be written independent of any one source system and provides a structure that supports electrical network and asset data with embedded geographical and schematic information.

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Demo Steinkjer – A National Living Lab Utilizing the CIM StandardDemo Steinkjer is a national demonstration project established to gather experience regarding construction and operation of smart-grids. The objective is to perform full-scale tests of new technologies and solutions. We are a “living laboratory” with infrastructure and services that will contribute to development of innovative products and services for businesses within the energy sector.

Participants in the Demo Steinkjer project include all the energy customers living in the demo area. AMS meters recording energy consumption every hour have been installed in the participants’ households. As part of the project, the hourly based values are uploaded once a day to a cloud-based storage service/database specially adapted for time series.

Demo Steinkjer has developed a REST API (representational state transfer application programming interface) from which these data are made available to “system clients” – that is, clients who wish to carry out system tests and need machine-readable consumption data. The objective is to give researchers and developers access to authentic time series data that they can use when developing their systems and products.

This is a new way for the energy industry to make this type of data and information accessible to other partners. In general, the use of cloud-based services in the energy industry has been sparse – even internationally. The methods of gathering and storing data have been using proprietary standards.

The exiting thing about Demo Stienkjer’s API is that all data made available are following the CIM standard, more precisely the IEC 61968-9 compliant CIM-format. Today the energy consumption data variable (ActivePlus and ReActivePlus) from all the smart meters in the demo area is available through the API, but in near future also other types of time series data from the smart meters will be included. For example voltage, ampere and earth fault measurements like earth current. Voltage and ampere are actually included from approximate 10 high frequent AMS meters (1 minute resolution). All CIM compliant.

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Thor Gunnar Steinsli, System Developer, Architect, NTE

The Spanish Railway Administrator Experience of Using CIM A successful story of using CIM at the Spanish Railway Administrator (Adif) will be introduced in this presentation. In 2012, the IIT of Comillas Pontifical University was contracted by Adif to develop a communication protocol between the smart meter installed on a traction unit, named EMS (Energy Measurement System), and the on-ground data collector system (DCS). The main requirements of the protocol were: XML based, energy data recording with time tag and position tag, available for being used in other sceneries as communications between DCS and traction unit owners or DCS and government agencies, and suitable for working at 350km/h.

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José Antonio Rodríguez Mondéjar, Profesor. Departamento de Electrónica y Automática, Universidad Pontificia Comillas

Asset Health Focus Community Update

Electric system assets, and their health, play a fundamental role in the reliability of the power grid. The typical electric utility possesses a wide variety of data that could be useful in determining asset condition. However, the disparate formats, structures and storage technologies in which data is stored and the scattering of data stewards and locations throughout the utility enterprise have created a significant obstacle to organizing asset health-related data into a form appropriate for analysis and correlation. The IEC Common Information Model (CIM), which is used to organize information at the enterprise level, can provide a solid, useful basis for the design of a framework to support the organization of information related to asset health analysis.

This presentation overviews current work being done by the CIM Asset Health Focus Community which focuses on defining requirements for CIM-based sharing of information related to asset health. The work is based on the vision of a CIM model framework for organizing asset health data, which can be accessed by multiple analytics and visualization tools capable of turning data into information, which in turn can be used by decision-makers throughout the utility enterprise.

The current Focus Community efforts are centered on developing asset templates for common utility assets. The asset templates, while not anticipated to become a part of an International Standard, are seen as important part of interoperability and will likely become a Technical Specification. The templates will provide a suggested configuration of CIM class instances to be use to represent specific types of assets. The Focus Community is starting with breakers and suggested templates for a number of breakers and the current list of common breakers for which templates will be defined will be addressed in the presentation.

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Pat Brown, Principal Technical Leader, EPRI

Generally Accepted Reliability Principle with Uncertainty Modelling and Through Probabilistic Risk Assessment The 4-year FP7 R&D project designs and evaluates new power system reliability criteria. If successful, these criteria could be progressively implemented at the pan-European level, optimally balancing reliability and costs. Indeed, the increasing uncertainty caused by among others the massive growth of intermittent generation calls for the use of probabilistic reliability criteria to supplement and enhance the pure preventive N-1 rule.

Several alternatives for reliability management will be studied to propose new criteria, based on a probabilistic approach. A particular innovation of GARPUR is a comprehensive application of the same probabilistic analysis within the key activities of TSOs at different time scales – system development, asset management and power system operation.

A Quantification Platform will be developed to compare the impact of the novel reliability criteria on social welfare and power system reliability. This will be realized through the development of numerical models linking reliability and social welfare. Pilot tests of several criteria are planned, as close as possible to a real life context, in order to validate the feasibility of incorporating them into the decision making processes of TSOs.

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Hakon Kile, Statnett

Janko Blatnik, R&D Director, GDB d.o.o.

Sharing Experiences on Data Management in the iTesla Project The iTesla project (Innovative Tools for Electrical System Security within Large Areas) is a 4 years project aiming at developing a toolbox that will be needed by TSOs to operate the European system from D-2 to real time. A probabilistic risk based approach is used while it takes also into account the dynamic behavior of the system. For more information on iTesla: http://www.itesla-project.eu/ Working at a European level requires data sharing from the TSOs (static and dynamic data) and also the use of technical solutions adapted for large systems. The place of CIM in the project will be presented, not only as a way to import data from the TSOs in the toolbox but also as a mean to have information with a higher level of detail allowing for example the use of data mining techniques on historical records thanks to the stable identifiers of equipments. The choice of alternative technologies in the same toolbox to cope with high performance requirements will also be presented. Finally, propositions of short term extensions of the CIM will be proposed to increase the efficiency of a pan-European security assessment.

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CIM to Modelica for Dynamic Study The purpose of the work described in this presentation is to develop a software tool capable to transform a CIM object model into a Modelica model that can be directly simulated using different Modelica engines. To this aim, we start from the CIM/UML representation of power system components and models, and exploit the ModelicaML profile to achieve a proper code representation of the power system in Modelica code. To confront issues with dynamic initialization, the power flow solution from CIM is linked to the Modelica component models and utilized within the initialization algorithms of the simulation engines. The result is a software tool that allows performing time domain simulations directly from a CIM/UML structure, while maintaining consistency in the resulting mathematical model within different simulation engines.

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Model Manager Report

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Kendall Demaree

Vendor Presentations

• Siemens PTI - View the Presentation
• SISCO - View the Presentation
• EPRI - View the Presentation
• Xtensible Solutions - View the Presentation
• Siemens - View the Presentation

• Siemens
• SISCO
• EPRI
• Xtensible Solutions

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The Need for CIM to Empower Innovation in the Interface Between Markets, Grids, and Operations The power sector is undergoing fundamental changes due to various drivers like renewables, market liberalization, increasing interconnection, demand response and smart grid developments. Those changes heavily impact many of the classical responsibilities for the stakeholders in the sector. TSOs will for example in the coming years need to consider how to adapt their processes and methodologies for key areas like network planning, market involvement, balancing, and system operations. Implementation of CIM removes the need for multiple models, and therefore has the ability to improve model quality and consistent usage of models. In the aforementioned changing environment, traditional defined areas of expertise are crossed and combined. This increases the need for model quality and uniformity of information. The common language of CIM makes it much easier to combine models, both crossing disciplines as well as combining models with neighboring TSOs. The need for a common model is felt especially when addressing issues on the border between market and grid. Many of the challenges of future transmission grid planning and operation are located in this interface. DNV GL and Statnett work together on addressing the need for simulation and operational tools to address those challenges, and CIM is an enabler to do this efficient and effective in novel ways. During the next years many TSO’s will become CIM compliant. We will show how a wide adoption of the CIM framework would facilitate research, bridge the gap between research and implementation, allow cooperation with neighboring TSOs, and allow easier integration of standalone tools in established IT solutions specially targeting power system dynamics.

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ENTSO-E Common Grid Model Exchange Standard & Common Grid Model Activities due to Network Codes

• CGMES
  • - Introduction and usage for system development - Chavdar Ivanov, ENTSO-E (10 min)View the Presentation
  • - Usage for system operation (Network codes) - Tahir Kapetanovic, APG (15 min) View the Presentation
• • CGMES Conformity Assessment Framework - Chavdar Ivanov, ENTSO-E (20 min) View the Presentation
• • Common Grid Model – required exchanges and necessary CGMES extensions - Milos Bunda, TenneT (20 min)View the Presentation
• Discussion- 25 min