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Minichino Qos of a Scada Sys

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    ICT-SEC 225353 MICIE (1)Brussels, 14 September 2009

    Tool for systemic risk analysis and securemediation of data exchanged across linked CI

    information infrastructures

    QoS of SCADA system interconnectinga Power grid and a Telco network

    Michele Minichino

    [email protected]

    ,

    ENEA

    mailto:[email protected]:[email protected]
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    ICT-SEC 225353 MICIE (2)Luxemburg, 20 May 2010

    CRPHT

    CRATROMA3ENEAIECITRUSTMULT

    FCTUCUNIBRAD

    ACK: contribute of WP InterdependencyAnalysis and Modelingparticipants

    QoS of SCADA system interconnecting aPower grid and a Telco network

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    ICT-SEC 225353 MICIE (3)Luxemburg, 20 May 2010

    Motivation of the research: lesson learned by IRRIIS project

    MICIE: Prediction of risk of loss/degradation of quality of services ofCI operators (i.e. SCADA and NMS operators) Reference scenario and service oriented approach Fault Isolation and System Restoration (FISR) service

    Risk of loss/degradation of FISR

    FISR models

    Indicators of risk of loss/degradation of FISR

    MICIE: Models for the online risk prediction tool

    Discussion

    Talk contents

    QoS of SCADA system interconnecting aPower grid and a Telco network

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    ICT-SEC 225353 MICIE (4)Luxemburg, 20 May 2010

    A mini black on the Telecom Italia PoP node in Rome

    Flooding of a Telecom Italia major telecommunication node hasoccurred in Rome on January the 2nd 2004.

    Part of wired and wireless services tilted (a mini black out for ItalianTelco infrastructure)

    causing problems and delays in different infrastructures, including Fiumicino airport (stop of check-in, ticketing services and of luggage

    acceptance and switching),

    ANSI print agency, post offices and banks,

    ACEA power distribution and

    the communication network (GARR), connecting the main Italian

    research institutions. The mini black out occurred to the Telecom Italia major node in

    Rome, thePoP of Laurentina -Inviolatella, on Tor Pagnotta street

    IRRIIS project - scenario of failure propagationfrom Telco Network to ACEA MV Power Grid

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    ICT-SEC 225353 MICIE (5)Luxemburg, 20 May 2010

    IRRIIS project - Laurentina Inviolatella node

    Green arrow indicates the area where the Telecom centre is located

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    ICT-SEC 225353 MICIE (6)Luxemburg, 20 May 2010

    IRRIIS project - Telco blackout impacted onservices of SCADA operator of ACEA power grid

    ACEA SCADA has two main Control Centres:

    Flaminia Control Centre that is unmanned; receive/send data and control commands from a first part of the cabins of Rome

    electrical distribution network;

    Ostiense Control Centre that is manned; receive/send data and control commands from a second part of the cabins;

    all the tele-measures, commands and alarms managed by Flaminia ControlCentre are dispatched to Ostiense Control Centre using two redundant TELCOcommunication links at 2Mbits/sec; One is the main link;

    the other one is a backup link that is always in stand-by position;

    such links were expected to be located on two different geographical paths;

    both links were out of service during the Telco blackout as a consequence no alarms, signals on the status of power distribution network

    and commands where exchangeable between the unmanned centre and themanned one.

    in this situation SCADA operator completely lose the visibility and controllabilityof all the remote substations managed by the unmanned Flaminia Control Centre.

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    IRRIIS project - Loss of services of SCADAoperator on failure of SCADA communication links

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    Power grid: a portion of the HV (High Voltage) grid at 150 kV and thebackbone of the MV (Medium Voltage) grid at 20 kV. Each node represents a primary substation (Pi, large rectangle), in case of

    HV network, or a secondary substation (Mi, small rectangle), in case of MVnetwork.

    Nodes, named Ei, represent the substations of the national powertransmission grid. They feed the power distribution grid.

    The physical link between any two nodes is an electrical trunk

    SCADA system A Main SCADA Control Centre (MSC) directly controls and supervises the

    portion of the power grid. A Disaster Recovery SCADA centre (DRS), directly controls and

    supervises a complementary portion of the power distribution grid.

    two types of Remote Terminal Units (RTUs), which interface the SCADAwith power distribution grid: HV RTUs, located at HV substations, and MV

    RTUs, located at MV substations. Telco network

    Default Proprietary Network of SCADA Public Switched Telephone network (MSC and DRS are connected, via

    firewalls, by two redundant, public, high speed Telco links)

    Global System Mobile connections

    IRRIIS project - SCADA interconnecting power gridand telco network

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    IRRIIS project - Portion of grid directly observed bySCADA operator (feeding the flooded Telco node)

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    IRRIIS project - SCADA system and its mapping onthe whole power grid

    S SC

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    MICIE will design and implement a so-called "MICIEalerting system"

    MICIE alerting system will support the CI operatorsby means of an on line risk prediction tool thatprovides them a real time risk level making use ofCI models

    CI operators are currently assumed to be SCADAand NMS operators

    QoS of SCADA system interconnecting aPower grid and a Telco network:

    Framework

    MICIE main product

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    MICIE: How can models predict the risk ofloss/degradation the QoS of SCADA and

    NMS operators?

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    QoS of SCADA system interconnecting aPower grid and a Telco network

    How can models predict the risk of loss/degradation the QoS ofSCADA and NMS operators with the final aim to improve thequality of power to grid customers?

    Reference scenario and service oriented approach

    Fault Isolation and System Restoration (FISR) service

    Risk of loss/degradation of FISR

    FISR models

    Indicators of risk of loss/degradation of FISR FISR models for the online risk prediction tool

    Quality of services of SCADA and NMS operators

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    Reference Scenario consists in identification of

    services, sequences of adverse events that could impair the quality of such

    services (i.e. in terms of continuity, readiness, performances, timeresponse)

    the set of interconnected networks supporting such services (in

    terms of topologies, essential systems (i.e. Telco emergencypower supply, cooling systems))

    interconnections among networks and systems

    MICIE project

    Reference scenario and service orientedapproach

    U d t di i k f l /d d ti f (SCADA

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    methodology

    modelstools

    scenarios

    Understanding risk of loss/degradation of (SCADAand NMS operators) services due to

    interdependencies

    A recursive approach

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    MICIE Reference scenario currently includes the followingsubset of interconnected networks/CIs:

    E CI, Electrical CI: a portion of the electrical 22 KV grid and of

    161 KV transmission lines

    C CI, Communication: a portion of communication transmissionequipments. It transfers information and data from Remote Terminal Units and

    control centres of SCADA and Network Management System for thecontrol and the management of the CIs ( it does not include SCADA

    and NMS systems)

    ICT CI, SCADA system for 22KV grid and NMS system for controland management of fibre optic grid

    It also includes all the Automatic systems on substations thatare included in scenarios

    Reference scenario & service oriented approach

    Interconnected networks

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    Reference scenario and service oriented approachE CI Electrical 22 KV grid portion

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    ICT-SEC 225353 MICIE (18)Luxemburg, 20 May 2010

    Reference scenario and service oriented approachE CI Electrical 22 KV grid portion

    (interconnected with C CI and ITC CI)

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    ICT-SEC 225353 MICIE (19)Luxemburg, 20 May 2010

    Reference scenario and service oriented approachCCI Communication portion and NMS

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    ICT-SEC 225353 MICIE (20)Luxemburg, 20 May 2010

    Reference scenario and service oriented approachSCADA and interconnections (C CI and NMS)

    R f i d i i d h

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    ICT-SEC 225353 MICIE (21)Luxemburg, 20 May 2010

    Reference scenario and service oriented approachEvents impact (through interconnected CI) on energy

    supplied to MV grid customers

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    ICT-SEC 225353 MICIE (22)Luxemburg, 20 May 2010

    A first set of services have been identified:

    trying to reveal interdependencies and thus opening the wayto cascading failures and escalation effects;

    Mutual interactions of services; what a service requires (or it

    is supposed to require) in order to be properly supplied, interms of ancillary services and company policies andstrategies.

    services can be lost (ON/OFF) or can degradate (Quality ofService)

    services loss or degradation can propagate impacting on thefinal (end) user with diverse severities.

    Reference scenario and service oriented approach:services identification

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    ICT-SEC 225353 MICIE (23)Luxemburg, 20 May 2010

    Currently we are focusing on the service Fault Isolationand System Restoration

    performed by SCADA operator by means of SCADAcontrol centre of the MV power distribution network

    Outages in MV power distribution network, need to beautomatically detected, isolated and the network has tobe restored to power its end users again.

    Fault Isolation & System Restoration (FISR) service

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    ICT-SEC 225353 MICIE (24)Luxemburg, 20 May 2010

    Risk of loss/degradation of FISR service

    The quality of FISR service affects the quality of power supply interms of

    SAIDI

    SAIFI

    CAIFI

    The degradation/loss of FISR service performed by SCADAoperator, is critical because it is strictly correlated to the quality ofpower supplied to customers.

    A timely actuation of FISR service, consequential to a permanentfailure of the grid, reduces the outage duration

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    ICT-SEC 225353 MICIE (25)Luxemburg, 20 May 2010

    FISR models and tools(tools) [online/offline]

    Reliability of Interconnected networks

    FISR dependability(WNRA reliability analyzer) [online] FISR performance and rerouting (NS2 simulator) [offline]

    FISR worst case measures in presence of hacker attacks (MILPalgorithm) [online]

    Bayesian Belief Networks (GENIE) [online]

    Holistic Reductionistic models (CISIA extension)[online]

    Deterministic and Agent Based simulation (RAO)[online]

    Raw data models of operational status(algorithm)[online]

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    ICT-SEC 225353 MICIE (27)Luxemburg, 20 May 2010

    SCADA systemSCADA implements FISR on Power Grid

    by monitoring/ controlling/ reconfiguring

    the grid (measures/ switches/RTUs)

    SCADA Control Centre

    RTU

    Gateway

    Ethernet Bus

    FIU

    MOSCAD

    WP2000Interconnected networks supporting FISR

    WP2000

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    ICT-SEC 225353 MICIE (28)Luxemburg, 20 May 2010

    Telco networkHierarchical structure

    Backbone (Point of Presence)

    Transit Exchange (TeX)

    Local Access (LeX)

    WP2000

    Interconnected networks supporting FISR

    WP2000

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    ICT-SEC 225353 MICIE (29)Luxemburg, 20 May 2010

    Power grid,SCADA system, Telco network

    WP2000Interconnected networks supporting FISR

    INTERCONNECTIONS

    SCADA and Telco

    Telco and HV grid

    RTUs, SCADA andTelco devicesenergised by Powergrid by means ofemergency powersupply systems

    see D2.2.1

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    ICT-SEC 225353 MICIE (30)Luxemburg, 20 May 2010

    Indicators of risk of loss/degradation of FISR

    Performances of FISR (NS2 models)

    Dynamical path between SCADA control centre and RTUs Throughput of nodes of Telco network

    Round Trip time between SCADA control centre and RTUs FISR response time: the time between the occurrence of loss of power supply to

    customers (due to a grid failure) and the restoration of power supply to customers.

    outage duration % of affected customers

    Dependability of FISR Connectivity between SCADA control centre and RTUs: minpaths and

    mincuts (WNRA models)

    Reliability and availability between SCADA control centre and RTUs (WNRAmodels)

    Probability of loss of a service on occurrence of specific events (BBN

    models) Reliability indices of power grid: SAIDI, SAIFI, CAIDI (RAO simulator)

    FISR operativity level (CISIA)

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    MICIE: Models for the online risk prediction tool

    at the state of the art, no single technique has the modelling and theanalytical power to cope with a meaningful and quantitative evaluationof degradation/loss of services performed by SCADA or NMS operatorsat regional/national level.

    the aim of risk prediction tool should be a meaningful, on line andpossibly quantitative evaluation of the risk of degradation/loss ofservices performed by SCADA or NMS operators

    As a consequence, a successful development of the risk prediction toolshould carefully evaluate all the formalisms and models and QoSindicators investigated and computed within WP2000 and should

    integrate the most adequate ones, according to the requirements of theon line risk prediction tool