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indracompany.com Industrial IoT based real time monitoring & control infrastructure InGRID ACTIVE GRID MANAGEMENT ENERGY & UTILITIES

INGRID Active Grid Management EN - … · Data Science Environment (Runtime) ... Security Devices Edge Int. Nodes RT Data Space ... INGRID_Active Grid Management_EN.indd

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Page 1: INGRID Active Grid Management EN - … · Data Science Environment (Runtime) ... Security Devices Edge Int. Nodes RT Data Space ... INGRID_Active Grid Management_EN.indd

indracompany.com

Industrial IoT based real time monitoring & control infrastructure

InGRIDACTIVE GRID MANAGEMENT

energy & utilities

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Support of the dynamic operation of the distribution network

egOVernMent y sOluCiOnes seCtOriAles

energy & utilities

InGRIDACTIVE GRID MANAGEMENT

InGRID AGM is Indra’s solution for the Management of the Active Grid. The Grid is becoming more complex and is growing faster than the conventional control methods and tools can handle.

Dealing successfully with the challenges coming with this new paradigm is a goal that cannot be met without fundamental changes in how we control a far more complex system. Existing grid monitoring and control infrastructure was not designed for this fundamental transformation.

Difficulties in fault location and servicerestoration

need tooperate closerto design limits

new cyber-security threats

losses inefficiency due todynamic load unbalances

need to monitor and integrate active customersin the grid operation

risk of quality deterioration & loss ofcontrol on voltage profiles.

Difficulties inforecasting networkflows hindering operation planning

investments impacted by

tougherregulation and

economicpressure

Technology disruption

bringing newplayers to the

industry

Demand is moreactive and isadding new

infrastructurewhich affects grid stability

Analytics security

integration with Backend

edge intelligent nodes

rt unified Data space

rt Monitoring & Control

grid Analytics

grid sensors, analyzers, Fault detectors, etc.

Primary & secondary substations

Demand Management (Home, Building, industry)

Distributed generation storage, eV infrastructure

rt grid Analytics

AMI

SCADA

rt grid Analytics

rt grid Analytics

DMS

edge Devices

Utilities need real-time monitoring & control infrastructure to achieve situational awareness for the 21st century grid, which IoT enables at a much lower cost than solutions based on traditional SCADA technology (due to the fact that Back-Office integration is expensive and time-consuming), using more scalable and distributed components.

Big Data

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Big Data Analytics: Improving Assets Maintenance, Monitoring Global Trends and Predicting the Evolution.

Apps

Data Lake

HDFS , CDH, Mongo, etc.

Asset Management

MQTT Service

Mosquitto

Streaming Data Processing

Analytics Tool Kit

Apps

Historical Performance indexes

Apps

Forecast& trend analysis

On-Premise / Cloud

Governance

users / Dept / units / Apps /services

Data Science Environment (Runtime)

grid Analytics

iSPEED Real Time Integration Platform

Devices

Edge Int. Nodes

RT Data Space

RT Monitoring & Control

Grid Analytics

Devices

Edge Int. Nodes

RT Data Space

RT Monitoring &Control

energy & utilities

Indra has developed, in partnership with Intel, an open architecture to achieve this goals enabling:

The proposed architecture is composed of 4 basic levels, in a modular architecture:

node#1: the intelligence at the Grid Edge. It is a powerful IOT Edge device with Indra software stack that allows interoperable data capture and real time data processing. It also supports multiple protocols.

ISPEED: open, real-time interoperability (OT Service Bus). It is a distributed, real-time bus, capable of managing millions of signals per second, integrating all kind of devices and systems in a common infrastructure and providing a secured and reliable communication.

InGRID Real-Time Monitoring & Control Layer: providing open, scalable and distributed real-time monitoring analysis and control layer covering HV, MV and LV networks. It includes the following features:

• Connectivity engine for network analysis.• OTS capabilities for what-if analysis.• Open real-time analytics container.

Big Data Analytics: improving assets performance monitoring and grid management. It includes the following features:

• Integration with IoT Platforms.• Big Data capabilities.• Data discovery & machine-learning algorithms.• Analytics on massive data repositories.• Open discovery of trends and causality.

• Proactive Grid Operation.• Situational Awareness.• Fast Edge Decisions.• Seamless Interoperability.

• Modularity / Scalability.• Hybrid Central / Distributed decisions.• Zero Touch Deployments.

Security

Devices

Edge Int. Nodes

RT DataSpace

RT Monitoring& Control

GridAnalytics

inte

l® io

t g

atew

ay s

oftw

are

stac

k in

grid

®.no

de#

1.s

tack

Connectivity

2G/3G/4G Bluetooth* Ethernet

ZigBee*1 Stack Serial / USB

VPN WiFi Access

Point MQTT

Manageabiliy

OMA DM TR-069

Config Web

Wind River* Edge Gestión

Agente del Sistema (EMS)

Data IPTables

Encrypted storage

HW Discrete TPM Secure Boot

DM-Crypt OpenSSL* IPSec VPN

OS and Apps McAfee Embedded Control

(conwhitelisting) GRSecurity

Signed RPM Package Run Time Environment

Lua* Java* OSGi*

OPC-uA / XMl-DA ieC – 60870-6/tAse.2

ZHA/Zll

MODBus/tCP/rtu MQtt tls

restfull DDs

ieC-102 ieC-104 snMP

Admin/Config

local – Consola (Cli) Web-Consola

Provisión segura de software

Local Persistence

H2 sQl embedded nosQl CouchBase

Task Manager sensors data gathering CeP/esP gestión Digital i/O edge Computing rules / Flows secure signature

IIoT / IoT Support sOFiA -2 iot ® iBM.Bluemix®

Dell edge gateway C5000 Advantech unO-2271g Adlink – Matrix 202 indra node#1.domo

isPeeD ® OpenFMB ®

OS (Ubuntu / Windriver 7.0)

Intel BSP: Board and Modules (Intel® Quark™ SoC, Intel® Atom™ Processor)

node#1: The Intelligence at the Grid Edge - Architecture

RT DataSpace

RT Monitoring& Control

GridAnalytics

Protocol Manager

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energy & utilities

Disruptions are happening in the MV/LV levels: distributed generation, EV, storages integration, prosumers demanding active roll….precisely where utilities have scarce or non-existent monitoring nor control capacity.

Extending current SCADA monitoring & control to MV/LV is proving technically challenging, and expensive given the “last mile problem” which multiples the number of points and assets to manage x 1000 and the number of signals to manage by x 10000.

Min Volume / Max value information provide

• Automatic calculation of Performance Operation indexes: voltage /intensity limits, losses, reactive power, quality…

• Flexible Alarms and warnings generation.

• Measurements Consistency Checks.

• Assets security .

• Detailed communication of SS information under anomalous conditions minimizing the volume of unnecessary information sent.

• Domain balance calculation and generation of Fraud/losses alarms.

InGRID AGM – Monitoring Portal: Distribution System Operators (DSO) develop MV/LV situational awareness and the grid becomes visible and smarter.

• Integration of MV/LV grid measurements and sensors feed into a comprehensive operation.

• Real Time monitoring of the MV/LV grid flows, demand/generation, status and events (faults, voltage).

• Real Time monitoring of SS assets identifying potential risks: transformers, water, fire, intrusion.

THE NEED

THE SOLUTION

Active Grid Management Use Case: MV/LV Monitoring

iSPEED

Operator Control Power Analytics

ADMS

Supervision Web portals

Open analysis/ Optimization Container

Topology

State Estimation

Forecast Other

Grid State I/O Management

SCADA

Ready to support advanced distributed control functions

• Transformers advance temperature control.

• 24 hours forecast of transformer load evolution.

• Automatic Location and isolation of faults based in available information: Smart Meters (CT), protections, Fault detectors.

• Automatic control of Volt/Var acting on distributed generation & tap changers available in the domain.

• Automatic distributed generation connection/ disconnection control under fault condition.

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energy & utilities

Increased penetration of Distributed generation, Storage, Electric Vehicle and new business models based in aggregation of DER are starting to impact significantly in grids’ reliability and efficiency:

• Quality deterioration: Loss of control on voltage profiles.

• Difficulties in fault location and service restoration.

• Losses in efficiency due to dynamic load unbalances.

• Changes in power flows through MV/LV.

• Transformers/lines out of the design conditions shortening assets life and increasing failure rates.

• Difficulties in forecasting network flows hindering operation planning.

1. DER exchanging information in RT with DSO.2. DER monitoring and control capacity as an extension of DSO.3. DSO actively coordinates DER in grid operation:

• DER as voltage control agent.

• Active assets in service restoration.

• RT monitoring MV/LV lines quality and performance with DER. Voltage /intensity limits, losses, reactive power, quality, risks, breach of operational limits.

• Preventive operation. Next minutes/hours forecast of grid evolution identifying near-future risks enabling response planning.

• Automatic Voltage control using DER.

• Acting on: Transformers taps, FACTs, and DER available in the domain.

• Coordinated Service Restoration based on DER to enable faster restoration.

• Automatic and optimal Request and coordination of DER or Aggregation grid services in Transactive Local markets.

THE NEED

THE SOLUTION

Active Grid Management Use Case: Distributed Energy Resource (DER) Integration

iSPEED

Operator Control Power Analytics

Supervision Web portals

Open analysis/ Optimization Container

Topology

State Estimation

Optimal Voltcontrol DER

Grid State I/O Management

SCADA

InGRID

Optimal SR

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The appearance of DER in the MV/LV out of the control of the grid operator, produce severe disturbances in the power flows and quality parameters on MV/ LV, forcing grid elements to work out of design conditions, shortening its life and directly impacting the reliability of the supply.

Under these circumstances is basic attaining a cost-effective strategy to dynamically monitor and prevent the risk of failure of the grid-distributed assets.

• Failure risk maps.

• RT evaluation of failure risk: early warning of equipment failures.

• Automatic protecting actions.

• Monitoring based on:

THE NEED

THE SOLUTION

Active Grid Management Use Case: Asset Condition Monitoring

energy & utilities

need to operate closer to design limits

Dynamic uncontrolled power flows.

losses in efficiency due to dynamic load unbalances

Difficulties in forecasting network flows hindering operation planning

investments impacted by

tougher regulation and

economic pressure

Demand is more active and is adding new

infrastructure which affects grid stability:

eV, PV

Assets conditioning models adjustment based on advanced pattern recognition algorithms and cumulative degradation due to out-of-design operational conditions.

• HV/MV Primary substation transformers and automatic switches: electrical, thermal & partial discharges measurements, gas measurements.

• MV/LV transformers: Electrical measurements (MV/LV analyzers) + transformer temperature + ambient temperature.

Apps

Data Lake

HDFS , CDH, Mongo, etc

Asset Management

Mosquitto

Streaming Data Processing

Analytics Tool Kit

Apps

risk Monitoringrisk Maps

Apps

Failure trendanalysis

On-Premise / Cloud

Governance

Models adjustmentand config

Data Science Environment)

grid Analytics

iSPEED Other Data Sources

Online preventive

Batch

MQTT Service

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energy & utilities

ü

ü

ü

Energuate (Guatemala)Ecopetrol (Colombia)Cemig (Brazil)Elektro (Brazil)OSE (Uruguay)UTE (Uruguay)AES SUL (Brazil)CPFL (Brazil)Aguas de Hermosillo (Mexico)Aguas de Monterrey (Mexico)Cadafe (Venezuela)Hidrocapital (Venezuela)Seneca (Venezuela)Disnorte-Dissur (Nicaragua) Electricaribe (Colombia) Eleval (Venezuela)Eletrobras (Brazil)CEEE (Brazil)Energisa (Brazil)Emdersa (Argentina)EEC (Colombia)Epsa (Colombia)Grupo EMEL (Chile)Petrobras (Brazil) RGE (Brazil) Chevron (USA)AyA (Costa Rica)Aysa (Argentina)

Over 140 Utilities use Indra´s technology solutions.

More than 100 million customers managed through Indra’s commercial systems.More than 700 Energy Companies are managed with Indra’s solutions.More than 70 Utilities use our Distribution Systems.

ONEE (Morocco)KPLC (Kenya)ENEO (Cameroon)EEPCO (Ethiopia)NCWSC (Kenya)KENGEN (kenya)UMEME (Uganda)ZESCO (Zambia)ZETDC (Zimbabwe)GECOL (Libya)ESCOM (Malawi)EDM (Mozambique)ECG (Ghana)KETRACO (Kenya)

Meralco (Philippines)Mayniland (Philippines)Manila Water (Philippines)E&W Authority (Bahrain)Cepalco (Philippines)Caltex (Australia)Origin (Australia)PLN (Indonesia)RAWEC (Saudi Arabia)

GNF (Spain/LATAM)Enel / Endesa (Italy/Spain/LATAM)Enel Green Power (Spain)Viesgo (Spain)Iberdrola (Spain/ Portugal)REE (Spain)ACEA (Italy)ENI (Italy)EDP (Portugal)BP (Portugal)Canal Isabel II (Spain)Agbar (Spain)FCC Aqualia (Spain)SSE Grupo EDF (Slovakia)Grupo PP&L CEZ (Czech Republic/ Romania)RWE (Czech Republic)Red Chisinau, Centru, Sud (Moldova)Eléctrica (Romania)EDA (Portugal)EDM (Portugal)GALP (Portugal)REPSOL (Spain / Portugal)Lafarge Energy (Switzerland)ENEA (Poland)NEK EAD (Bulgaria)Trafigura (Global)SEPS (Slovakia)

AMERICA AFRICA

MIDDLE-ASIA-PACIFIC

EUROPEEdelap (Argentina)Sedapal (Peru)Sedalib (Peru)Electrodunas (Peru)Osinergmin (Peru)Sempra (USA)AES (Brazil)Ligth (Brazil)PetroPerú (Peru)EP Petroecuador (Ecuador)CDEEE (Dominicana)Edesur (Dominicana)Edenorte (Dominicana)DelSur (El Salvador)EDEN/EDES (Argentina)UTE (Uruguay)

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