distributed intelligence in critical infrastructures for sustainable power

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13 May 2003 1 ENK8-CT-2002-00673 Distributed Intelligence in Critical Infrastructures for Sustainable Power Luc Hamilton

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Distributed Intelligence in Critical Infrastructures for Sustainable Power. Luc Hamilton. IT & Energy: General Background. Energy: becomes increasingly decentralized network (“distributed, virtual utility”). Note similarity with e-business developments - PowerPoint PPT Presentation

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Page 1: Distributed Intelligence in Critical Infrastructures for Sustainable Power

13 May 2003 1ENK8-CT-2002-00673

Distributed Intelligence in Critical Infrastructures for Sustainable Power

Luc Hamilton

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IT & Energy: General Background

• Energy: becomes increasingly decentralized network (“distributed, virtual utility”). – Note similarity with e-business developments

• Internet/Web: “everything” becomes part of it, including even home appliances (“ambient intelligence”)

• Convergence: IT and Energy are distributed critical infrastructures that can beneficially be used together

• “Out of the box”: new systems thinking needed– Crossing traditional in-building/access/network boundaries gives

interesting possibilities

• Business and technology aspects must be simultaneously dealt with to make progress: innovation and its adoption

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CRISP Project

Objective: – To investigate and test how ICT-based distributed intelligence

can be exploited for the management of power networks with high degrees of Distributed Energy Resources (DER) and renewable energy (sustainability)

• Duration: 3 years, Oct. 2002 – Oct. 2005 • Budget: EUR 3.1 M• Effort: 22 person-years • EU-EESD project No. ENK8-CT-2002-00673 • Website: http://www.ecn.nl/crisp

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CRISP Partners

ECN (Netherlands)

ENECO (Netherlands)

INPG (France)

Schneider (France)

EnerSearch (Sweden)

Sydkraft (Sweden)

BTH (Sweden)

ABB (Sweden)

Consortium:

ECN (NL)

ENECO (NL)

INPG/LEG (F)

Schneider (F)

EnerSearch (SE)

Sydkraft (SE)

BTH (SE)

ABB (SE)

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CRISP Approach

• CRISP: new operating strategies for high-DER power networks enabled by recent progress in intelligent ICT

• CRISP concentrates on specific practical scenarios: • Market-oriented demand-supply matching to increase the cost-

effectiveness of DER network operations • Online distant fault detection and recovery, ensuring robustness and

performance of high-DER networks• Intelligent load shedding in emergency situations • Multi-agent systems for online control of DER supply, demand and

storage, providing bottom-up optimization strategies • Intelligent decision support for risk and security analysis of DER

networks, including cost-benefit and priority analysis

• Results: novel high-DER strategies, corresponding ICT tools, validating field/lab experiments (NL, F, SE), guidelines for advanced ICT use in DER networks

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CRISP Workplan

Month 1 6 12 18 24 30 36

WP I: ICT - enabled strategies for high - DG power networks

Milestones:

WP II: intelligent ICT development and tools

WP III: Implementation, experiments and tests: A B C

WP IV: Dissemination and Exploitation

WP V: Project Management

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WP I: ICT-enabled scenarios + strategies for high-DG power networks

• Functional specs of the grid with high degree DG• modelling operative roles of players• baseline reference model for scenarios/studies/tools

• Cost-effective distribution through market-oriented on-line demand-supply matching• 15 min to 1 day ahead matching• cost terms + utilisation RES + security/reliability• multi-agent algorithms / micro-economic optimisation theory

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WP I: ICT-enabled scenarios + strategies for high-DG power networks

• DG as means to increase system robustness• potential of DG for robustness in major disturbances• benefits of DG for distribution networks• increase system autonomy / islanded supply• modular communication and control

• Fault detection, analysis and diagnostics in high-DG distribution systems• new structures and operational environment• investigate need for new functions• improving islanding detection reliability• smart sensors, measurement, monitoring, • Artificial Intelligence, fuzzy, real time processing

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WP I: ICT-enabled scenarios + strategies for high-DG power networks

• Intelligent load shedding• improve system stability• improve load shedding schemes; individual load objects• strategies to keep track on load available to shed• algorithms to find optimal “amount” and “location”• algorithms for detection disturbance +initiate shedding

• Network security models and their economics• incorporate security models from information networking in

protection systems• include risk analysis methodologies to protect value-chains and

business processes• architecture for protection of baseline reference model

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WP I: ICT-enabled scenarios + strategies for high-DG power networks

• Highly distributed network architectures and simulations• collection of functional components and protocols• “virtual utility”, high reliability, electronic power market• modelling architecture and assigning functionality and roles to

individual nodes• case study simulations using tools of WP II

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WP II: Intelligent distributed ICT-development + tools for power applications

• Business, application and ICT technology requirements for tools• ICT-node network and Power Delivery network have different

requirements• tools must be able to handle dynamically configuration settings

• Multi-agent simulation tool for market-oriented distributed demand-supply matching• competitive and co-operative scheduling, optimal use of

deferrable load, scalability• implementation of e-market algorithms in power applications• Library of agents and algorithms

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WP II: Intelligent distributed ICT-development + tools for power applic.

• Simulation tool for fault detection and diagnostics• locate fault, investigate differences in type and criticism of faults• intelligent techniques used based on output of WP I• use as prototype for “off-line” tests

• Decision support tool for network security models and their economics• to identify proper safeguards at given risk/benefit level• cost/benefit based on analysis of value-chains in business

processes at risk• evaluation on different scenarios

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WP III: Implementation, Experiments and Tests

• Preparation, execution and evaluation of experiments• recommendations for strategic use of intelligent ICT’s in power

networks

• 3 experiments in 3 different countries• Field test with 50 different CHP units in various segments

(horticulture, industry, households), focussed on demand-supply matching (NL)

• Lab-tests in industrial real-time simulator of power networks ARENE and analogue power system simulator, focussed on fault diagnostics (F)

• Lab- and field test for testing load shedding scenarios, Öland (S)

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CRISP builds on earlier work

For example:• PALAS EU project • Intelligent Internet solutions for building

control and energy management, realized

by agent-mediated e-markets• SMART project: field experiment in office

building (ECN, Petten, NL) • New field experiments underway (ECN, NL)• Advances in IT: e-markets

and Internet agents

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Distributed Intelligence

• Exploit distributed intelligence for DER networks• Demonstrate by realistic scenarios

• E.g. Optimized DSM by e-markets, intelligent load shedding

• And by experiments• NL (field test DER) , F (lab tests), SE (Öland operation)

• Bridge gap between latest ICT advances in ICT and their strategic use for power applications

• Links EU-IST and EESD programs

• Combine capabilities of two critical infrastructures: ICT and power networks

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For more information

• CRISP website: www.ecn.nl/crisp

• www.enersearch.com, www.ecn.nl

• CRISP flyer