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30 11-2011 mart grid Jani Valtari Cleen Finpro seminar
 

30 11-2011 mart grid Jani Valtari Cleen Finpro seminar

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  • Limited Liability Company (reg. 16.7. 2008, own equity 2.5 M€) Shareholders: 28 Companies (global but significant R&D operations in Finland) 16 Research Institutes (nationally most essential) Operational principles The shareholders of CLEEN Oy define the focal points, principles, practices and targets for CLEEN Oy The current focal points are described in the Strategic Research Agenda (SRA) defining the area where CLEEN aims to initiate joint research activities The targets are realised in the form of wide and open joint research programmes that are open for the best resources The scope , targets and substance of the research programmes are defined by the realising consortiums Strategic Research Agenda(SRA) Objectives Scope Focus Shareholders guidance Research Programmes SRA realization Consortium’s targets, resourcing and commitment Co-operation and networking Practices and Processes Programme development and execution Shareholder value and guidelines

30 11-2011 mart grid Jani Valtari Cleen Finpro seminar 30 11-2011 mart grid Jani Valtari Cleen Finpro seminar Presentation Transcript

  •  
  • Content
    • SGEM presentation
    • CLEEN Ltd – The Vehicle for SGEM
    • SGEM Consortium and key imperatives
    • Position in relation to European grid initiatives
    • Evolutionary approach based on Finnish Smart Grid 1.0
    • Work Packages and research themes
    • Results and highlights
    • Overview and relation to EEGI
    • Advenced LV monitoring
    • Self-Healing MV networks
    • Communication concept for MV networks
    • Utilizing AMR in network planning
  • CLEEN - The vehicle for SGEM
    • Centre for Strategic Science, Technology and Innovation (CSTI)
    • Co-operative and Industry Driven R&D&I company for Energy and Environment founded in 2008.
    • Unique in it’s way of serving 28 industry and 16 research shareholders by driving
      • Renewal of industry
      • Novel collaboration across industries
      • Strategic focus
      • Industry ’s Commitment and Guidance
      • World class competence and resources
  • SGEM key imperatives & facts
    • Key Imperatives
    • Create Innovation foundation to enable the Smart Grids vision
    • Build internationally applicable solutions
    • Validate in real environment
    • Ensure competence accumulation in research and business
    • Utilize interactive international research environment
    • Facts
    • Focus on power distribution and interfaces
    • The program consists of 7 interlinked work packages and spearhead demo projects .
    • Industry make up 56% of the volume. 19 industry & 8 research partners.
    • ICT companies contribute 29%
    • 5 year program, 57 M€ budget.
    • CLEEN CSTI (Centre for Strategic Science, Technology and Innovation) program with Tekes public funding.
  • Smart Grids and Energy Markets Consortium
    • Coordinator
      • Cleen Ltd
    • TSO and DSOs
      • Fingrid
      • Fortum
      • Helen Sähköverkko
      • Suur-Savon Sähkö
      • Vantaan Energia
      • Vattenfall Verkko
    R&D Cooperation – not commercial consortium Joint sharing of Full Access Rights to all results High level of publicity
    • Energy Technology Industry
      • ABB
      • Aidon
      • Alstom Grid
      • Empower
      • Tekla
      • The Switch
    • ICT Industry
      • Cybersoft
      • Elektrobit
      • Emtele
      • Nokia Siemens Networks
      • TeliaSonera
      • There Corporation
      • Viola Systems
    • Research Partners
      • Aalto University
      • Lappeenranta Uni of Tech
      • MIKES, Centre for Metrology and Accreditation
      • Tampere Uni of Tech
      • Uni of Eastern Finland
      • Uni of Oulu
      • Uni of Vaasa
      • VTT, Technical Research Centre of Finland
  • European Smart Grids Initiatives Standardisation ISGAN Int. Smart Grid Action Netw. ISGAN Int. Smart Grid Action Netw. EERA Eur. Energy Res. Alliance KIC Inno- Energy EEGI SGEM Regulator Federal (EU) National Private Policy Basic R&D Industrial innovation Demonstr. Roll-out
  • Phased evolution approach build on the Finnish Smart Grid 1.0 Smart Grid 2.0 Phase 1 Change Drivers in Business New active resources Enabling technologies
    • Overall Drivers
    • Minimizing CO 2 emissions
    • Energy Efficiency
    • Grid Reliability
    • Activated role of small customers
    Phase 2 New Grid Architecture New Grid solutions Demonstrations Phase 3 New Energy Markets on SG Smart Customer Interfaces Safe operation of SG Phase 4 New ICT & Automation New ways of planning grids New Business Opportunities Phase 5 Next generation of management systems 2009 2011 Smart Grid 1.0
    • SCADA systems 1970
    • Tariff control through PLC 1975
    • Network information systems 1970’s
    • Distribution Automation since early 1980’s including
      • Remote controlled switches
      • Digital relays with serial communication
      • 1. generation AMR-systems
    • Real-time Distribution Management System since early 1990’s including
      • Real state network monitoring based on SCADA integration
      • Fault Management including analysis based on measured fault currents
    • Energy market deregulation1995
    • Electricity stock 1998
    • 2. generation AMR-systems 2000’s
    • New business models for DSO’s enabling a market for service providers since early 2000’s
    • 20/1/0.4 kV distribution systems, 2003
    • Grid reliability integrated in regulation model since 2008
      • Long and short interruptions included
    • LV Grid Automation with real time indication of LV-faults since 2008
    • Real-time billing 2010
    • LVDC (± 750 DC, active voltage control) distribution systems 2010
    • Interactive customer interface pilots 2010
    • Full scale (all customers) AMR-system 2013 (kWh, power quality)
    Finnish Smart Grids 1.0 milestones
  • Work packages in SGEM
    • WP2 : MV+LV networks, 6 tasks
    • Strategic planning
    • Large scale cabling
    • Phase earthing systems
    • LVDC networks
    • WP5: Active resources
    • 3 tasks
    • Distributed generation
    • Electrical vehicles
    • Energy storages
    • WP3 : HV networks, 5 tasks
    • Utilizing increased controllability for balancing the power system
    • Regional subtransmission networks
    • Interconnection of large-scale wind power in HV networks
    • FACTS devices, Wide area monitoring and control systems
    • WP1 : Drivers and visions
    • 3 tasks
    • Electricity from society’s point of view
    • Migration scenarios towards future Smart Grids,
    • Industry landscape, standardization
    • WP6 : Intelligent management and operation, 13 tasks
    • New ICT in network management, information security
    • New substation and measurement technology
    • Protection schemes, active network management, microgrids
    • Disturbance and field force management, self-healing networks
    • Network analysis and planning methods, proactive monitoring
    • WP7 : Energy markets
    • 5 tasks
    • Business impacts and models for DSO and retailers
    • Integrated European market
    • Opportunities and models for different market players
    • Optimal deployment of smart resources
    • Functioning of the electricity markets in different countries
    • WP4 : Active Customer
    • 8 tasks
    • Behavior of active customers, trust and privacy
    • Estimation of loads, DG and storage, DR potential
    • Smart control of active resources
    • DER aggregator’s optimization
    • Customer gateway, ICT architectures
    Future infrastructure of Power systems Smart Grids Active resources Intelligent management and operation of Smart Grids Drivers and visions Energy market
  • SGEM and European Electricity Grid Initiative (EEGI) 2011 2012 2013 2014 2015 EEGI Functional Project D9 D10 D12 D11 D1 D2 D5 D6 Major scale activities Minor scale activities R&D Piloting Deployment Advanced LV network monitoring Self-Healing Networks Communication concept for MV networks Island operation LV Microgrid Home Energy Management Systems Potential of Demand Response Utilizing AMR in network planning
  • Advanced LV network monitoring
    • Automatic fault location, interruption registration and outage communication, already deployed in Finland
      • green fill = consumption sites having power
      • red fill = interrupted consumption sites
      • grey fill = consumption sites the power status of which is not known by DMS at the given moment
    • Using AMR measurements also in secondary substations (and not only households), using the data for transformer condition monitoring
      • Planning ongoing, piloting 2012, large deployment (20% of Finnish network) 2013-2014
    • Advancements in LV network infrastructure - LVDC
      • Utilizing power electronics in LV network architecture – DC distribution and easy connection of DG and ES units directly to DC link, reduces also losses in the LV network.
      • Laboratory environment exits, small real world pilot (3km, 4 households) by beginning of 2012. Extensions 2013.
    (Vattenfall, Fortum, Tekla, LUT) D9
  • Self-Healing Networks Disconnectorstation (OH) (O-1061) SCADA/DMS RTU560 Recloser - OVR3 Substation A Control Center Disconnectorstation (UG) Disconnectorstation (OH) (O-1088) M2M gateway COM600 REF615 REF615 Recloser - OVR3 GACR GACR GACR = Grid Automation Control Cabinet for Recloser
    • Increasing the level of automation in MV network
    • Substation level fault detection and location piloted Autumn 2011
    • Fault package generation in substations instead of NCC, also fault distance estimation
    • Faulted branch noticed with fault indicators
    • Network automation communication via substation, utilizing public cellular networks  Reducing CAPEX
    • Extensions during 2012
    • Fault forecasting
    • Automatic fault isolation and power restoration
    • Utilizing process data also to maintenance purposes (CBM)
    (ABB, Fortum, Viola) 3G/GPRS D10
  • Communication concept for MV networks
    • Communication concept for MV network utilizing public wireless networks
    • Piloting in Advanced Primary Substation Automation from 2012 ahead including remote inspections, remote operations and remote maintenance activities
    D12
    • The aim is to develop load modeling methodology and strengthen the utilization of load models in real time state estimation, network planning and network calculation.
    • The constantly increasing AMR meters are used as a data source.
    • (TUT, ABB,UEF)
    Utilizing AMR in network planning D11
    • Jani Valtari
    • [email_address]
    • +358 50 3352730