SmartGrid “Improved Power Quality” Reinhard Kuntner Ruhul-Islam Kunal Sharma

28 May 2010

Power Flow - Existing

© OMICRON

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Flaws in Existing System Less Efficiency y Less Reliability Pollution & Hence Globle warming

© OMICRON

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“Smart Smart Grid Grid”- Model

© OMICRON

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Common Terms Smart Grid Energy Independent Consumer Bidirectional Power Flow – Use of Convertors , Invertors & Different Kind of Generators etc Controlling Appliances

- Load Control Switches

Smart Meters

- (Act acc. to Tarrif Plans g) & Net Metering

© OMICRON

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“Power Quality” Biggest gg Nightmare Of Smart Grid

© OMICRON

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Parameters Power Quality Continuity of service Variation in voltage magnitude Transient voltages and currents Harmonics and inter-harmonics content in the waveforms • Flickers & volatge sag • • • •

Sources of Disturbances

© OMICRON

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Sources of Disturbances • Equipment like Inverters, battery g , energy gy saving g lamp p chargers, also reason of bad power quality. • Potential disturbance source may be found on both, generation and cosumer side.

Step for better Quality • By using of good available technology like PWM inverters with IGBT power semicondutor • By using FACTS technology for transmission and distribution.

PQ Analysis Need - Real Time Power Quality Monitoring Methods ¾Event Triggered gg PQ Q recorder-To monitor sudden voltage drop in a network ¾Continuous Measurement-Slow variation of Voltage and frequency, harmonics, flickers and unblance voltage

Principle Of PQ Recording

PQ Measurement Measurement-Levels Levels Low o Voltage o age Level e e - Dedicated PQ Meters Medium & High g Voltage g – Integrated measurement system with PMU PMU’s s , MU MU’s s & Protection Relays Via WAM

GPS Synchronised WAM

“Power Power Quality Quality” as a “Commodity” y

“PQ Devices” D i ” Back Bone of the Smart Grid

PQ Devices according to IEC 61000 4 30 61000-4-30

Quality Check of PQ Q Devices

PQ Device-Quality Check •Highly Hi hl accurate t voltage lt and d current Source as per IEC 61000 4 30 61000-4-30 •Magnitude, frequency, phase angle and signal shapes, as per standard •Possibility to synchronize meas ement measurement de ice device and calibrator •IEC 61850 61850-9-1 9 1 compatibility

© OMICRON

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CONCLUSION ¾SmartGrid ¾S tG id promises i i improved d Power P Quality. ¾Power Quality can be seen on the same strategic level as Energy Consumption. Consumption ¾The industry must make appropriate equipment & methods avaible for Calibration & Performance testing of PQ devices © OMICRON

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Thanks For Your Kind Attention !!!

© OMICRON

28 May 2010

Security Smart Grid and Security

आधार कर्ाा और सब साधन प्रथक विस्र्ार से, चेष्टा विविध विध दे ि ये है हे र्ु ऩाांच प्रकार के र्न मन िचन से जन सभी जो कमा जग में कर रहे हो ठीक या विऩरीर् इनके ऩाांच ये कारण कहे

LD&C_SCADA

Why Secure • Interoperability among six aspects of the electric power industry • Power generation, transmission and distribution (all things that are physical) • Command, control and communications • • • •

sensing, collection, analysis and interpretation of all source operational data into information, and • Transfer of such information to facilitate • commerce and • safe and reliable operation of power systems;

• Include such things as scheduling and dispatching the power and control of the whole power system

• If Man in middle, impact is slow/local/partial; • Everything auto, impact swift/widespread/total LD&C_SCADA

LD&C_SCADA

IEEE POWER & ENERGY Magzine 2009 – साभार

STRUCTURE o o o o o o o o

What need to be secured, How it can be secured Who will secure what and how Operational systems which can be facing cyber vulnerability Security System requirement Security practices Security audit Continual Improvement perspective i.e. we need to plan, build processes to do, check effectiveness of the two and act for improvement. LD&C_SCADA

SECURITY • Firewalls and security zoning • Separation among application • • • • • • •

SCADA/EMS ISR STOA Scheduling Metering and settlement Web access Corporate access

• Competing Objective • Maintaining Model/values exchange • Single sign on for users v/s individual application v/s zonal boundaries

LD&C_SCADA

To Secure • Malware • Careless Employees (Password robustness etc) • Exploited vulnerabilities • Zero-day exploits • Application robustness against known exploits such as buffers overflow/RPC

LD&C_SCADA

SECURITY Utility companies Critical-infrastructure custodians Likely targets of cyber terrorism Government regulations Historically

DCS/ SCADA/ EMS/ DMS Protected by proprietary technology Isolated from enterprise IT

Cost and Skill Issues led to: Standard operating systems exposure of internet connectivity Remote access Has Exposed these networks to 21st-century cyber threats LD&C_SCADA

Approach • A holistic approach based on standards of good practices (e.g., ISO 27002) • to achieve and maintain compliance with the regulations and applicable standards • • • • •

Plan-Do-Check-Act security gap analysis risk based prioritization of remediation requirements implementation of controls periodic assessment of implemented controls

• Implementing an information security management system based upon standard to demonstrate high standard of security • business partners, • customers, and • regulators LD&C_SCADA

REGULATION • Discuss regulatory landscape • CERC, • IT Act

• List security implications for utilities • Recommended approach for compliance • To achieve • To maintain

• Evaluate The Rules • implications • requirements • approach for compliance

LD&C_SCADA

Possible incident scenario • An employee has a company laptop on the internet at his home office, connected to the control network through a VPN (Virtual Private Network) • A hacker from overseas infects the laptop with a virus over the Internet • The virus then propagates over the VPN connection into the control network and infects another Windows PC located right in the heart of the control system • Is this just a hypothetical situation? It couldn't happen to you? The bad news is that this is a real incident that actually happened to the water supply system in Harrisburg, Pennsylvania in 2006

LD&C_SCADA

Communication • General Issues • Complacency • Not a concern since not attacked • Institute a security process/team building exercise that includes consequence analysis/ ramifications of a successful security attack • Utility do not assess any value to the information being communicated, except in the case of control actions – Unbundling may change this attitude???

• Dial-Up Modem Usage • use of auto-answer modems is of concern

• TCP/IP • increasing dependence on TCP/IP as a transport for critical information – ICCP; Exchange; schedule

LD&C_SCADA

Communication…

contd

• Some information exchanged (e.g. schedule) is using the Internet instead of Intranets. The trend may continue, since connectivity options using the Internet represent a low cost option. • security threats • • • • •

eavesdropping, spoofing, denial of service, Replay number of people/entities attached

• Appropriate security measures should be deployed based upon an appropriate consequence analysis LD&C_SCADA

Internet Connectivity • infrastructure connectivity point to the Internet needs to be isolated through a screening router/firewall combination from the rest of the corporate LAN/Intranet • personnel need to be assigned to audit/ monitor this connectivity for any security attacks that occur • Given sufficient audit trail, prosecution of every attacker should be strongly considered

LD&C_SCADA

FIREWALL • Firewall represent a valid security countermeasure • typically validate a remote connection/ user to • use a given transport -TCP/IP or OSI • make application service requests - FTP, HTTP, RFC1006, DNP • Limited to a set of well defined nodes/applications

• However, once authenticated and connected, firewall is not sufficient to enforce access/service privileges to information on the destination application • Internet applications – e.g. FTP, Telnet - have the ability to be configured for user authentication (usually passwords) upon which access privileges (e.g. read, write, etc.) will be granted. • However, protocols (e.g. DNP/870-5) are inadequate in this regard • Active work is ongoing to address the issue of authentication and security within several protocols by TC 57 LD&C_SCADA

Risks • consequence analysis is unique to each business entity however Bypassing of controls/ control security can be rated as highest. Others include • Exposed Trading Functions - analysis of the type of information conveyed – anticipated financial damages of a successful attack • ICCP - Analysis of the dependency on information conveyed (Telemetry and calculated data from RLDC to SLDC etc.) by/to other control centers • Control Center to Substation Communication: The • disruption of a substation communication can cause problem only if remotely controlled • Metering: All revenue is based upon data acquired through metering - this may not be an area of concern given alternate available and mode of data communication LD&C_SCADA

Substation

LD&C_SCADA

Control System • Control systems • Distributed Control Systems (DCS), • Programmable Logic Controllers (PLC), • Supervisory Control and Data Acquisition (SCADA), • Remote Terminal Units (RTUs), • Intelligent Electronic Devices (IEDs)

• Designed to be highly reliable and interoperable • proprietary operating systems in the control systems often preclude the use of existing Information Technology (IT) security LD&C_SCADA

Vulnerability • Vendors and utilities employ • Remote access • dial-up modem • pc

• facilitate maintenance and remote operations • cyber vulnerabilities can result in businessrelated or safety/regulatory issues • IT security technology will help with known Internet threats, but is not designed to secure control systems • IT is responsible for cyber security but often does not understand control systems • Control system suppliers understand control systems, but they are not security experts LD&C_SCADA

Differences • IT security policies such as ISO-17799 do not address the unique needs of control systems • Remote access is important for the efficient operation of control systems • vulnerability assessments and penetration testing of T&D and generation control systems lead to successful breach in obtaining unauthorized access to SCADA and DCS • In the near term, control system security can be enhanced by a combination of implementing cyber security procedures and utilizing IT technologies to protect from traditional IT threats

LD&C_SCADA

Smart Grid: Concepts & Issues Anil Sinha

T R A

Consultant/ Advisor ([email protected])

M S

G

D I R

Smart Grid

D “The smart grid is no revolution but I rather an evolution of a process within R which electricity grids are being G continuously improved to meet the T needs of current and future customers.” R (European Technology Forum) A M S 28. May 2010

Smart Grid:Concepts & Issues - Anil Sinha, Consultant

Page 2

D Smart Grid: General I R G T R A M S

General   

D Increasing demand of Electrical I Power R entity Electricity Grid is a well known It has three layers G T R A M S   

Generation Transmission Distribution

28. May 2010

Smart Grid:Concepts & Issues - Anil Sinha, Consultant

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Layers Distribution Transmission

T R A

G

D I R

Generation

M S 28. May 2010

Smart Grid:Concepts & Issues - Anil Sinha, Consultant

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General 

D The conventional Generation of I Power: R G T R Depleting stock of fuel A Increased Pollution M S   

 

Thermal – Coal, Gas, etc. Hydro Nuclear

28. May 2010

Smart Grid:Concepts & Issues - Anil Sinha, Consultant

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General  

D Generation from RenewableISources of Energy is growing R Renewable Sources: G T R A M S      

Solar – Photo Voltaic Solar – Thermal Wind Hydro Power (specifically, small Hydro) Bio-Mass Geo-thermal, etc.

28. May 2010

Smart Grid:Concepts & Issues - Anil Sinha, Consultant

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General 







D The Generation from RSE isI essentially distributed inR nature The consumer may also be a G generator at the distribution level T This is one input for the need of a R Smart Grid A The RSEM generation unpredictable S

28. May 2010

Smart Grid:Concepts & Issues - Anil Sinha, Consultant

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General 

D Among the other reasons for a Smart I Grid are: R G T R A M S 



 

Need for Reliability, due to increasing reliance on electric power Need for improving efficiency of use of available power Need to reduce pollution Need to be ready for fresh applications of power, e.g. Electric Vehicles

28. May 2010

Smart Grid:Concepts & Issues - Anil Sinha, Consultant

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D Smart Grid: Concepts I R G T R A M S

Limits on Scope 

  

D Only the Distribution level is I considered R Capacity Building is not Gconsidered Customer Education T is not considered R Considered in the light of Control & Automation A requirement M S

28. May 2010

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Concepts 



D A smart Grid is the judicious but I strong combination of the Electrical R Grid with the Information & G Communication Technology T It also includesR the extension of the monitored grid (with the ICT) down to A the consumer premises, down even to M the individual equipment S

28. May 2010

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Concepts 

D Some new age functions are already I available/ in use, e.g. R G T R Some more A functions are selectively applied to existing infrastructure M S 

Automatic Meter Reading (AMR) Demand Side Management (DSM) Distribution Management System (DMS)



E.g. Remote Control of Capacitor Banks

 



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Concepts 

D Our expectation from the Smart I Grid: R G T R A M S    

 

Self healing Enable Consumer Participation Improve Quality of Power Accommodate distributed generation & storage of power, even if intermittent Provide Real-time data Increase efficiency, reduce T&C losses

28. May 2010

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D Smart Grid: Communication I R G T R A M S

Communication 



D The DMS solution includes I communication from Control Room till R Sub-station level (WAN) G The additional requirement: T R A M S  

Sub-station to Consumer premises (NAN) Within Consumer premises (HAN)

28. May 2010

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Communication

D M S

WAN

M S

S U B S T A T I O N

T R A

G NAN

D I R C O N S U M E R

HAN

WAN: Wide Area Network; NAN: Neighborhood Area Network; HAN: Home Area Network 28. May 2010

Smart Grid:Concepts & Issues - Anil Sinha, Consultant

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Communication 

Expectation      

Secure Reliable Flexible Scalable Cost-effective Future-Proof

28. May 2010

M S

T R A

G

D I R

Smart Grid:Concepts & Issues - Anil Sinha, Consultant

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D Smart Grid: Applications I R G T R A M S

Applications 

Advanced Metering    

D I R

Traditional meter reading Usage Profiling Remote Connect/ Disconnect Outage/ Restoration Reporting

M S 28. May 2010

T R A

G

Smart Grid:Concepts & Issues - Anil Sinha, Consultant

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Applications 

Distribution level        

D I R

Traditional Sub-station Automation Video Monitoring Work-force Mobility SCADA System (Expanded) Transformer Monitoring (DT level) Capacitor Bank Control Voltage Monitoring Recloser Automation

28. May 2010

M S

T R A

G

Smart Grid:Concepts & Issues - Anil Sinha, Consultant

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Applications 

Consumer level       

Informed Consumer Energy Efficiency Dynamic Pricing Demand Response Distributed Generation Distributed Storage Smart Charging of EV

28. May 2010

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T R A

G

D I R

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Smart Grid: Issues

M S

T R A

G

D I R

Issues 

 



D Smart Grid is a new Idea, still in the I Concept/ Demo phase R Smart Grid Evolution G is still on Good Part: We continue to add fresh T ideas to enhance the usability/ R usefulness/ A Cost-effectiveness Bad Part: When do we come to the M commercial S implementation?

28. May 2010

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Issues 

 

 

D The driver differs with the country of I implementation R General lack of Awareness G Very high requirement of T Communication Infrastructure, i.e. R cost! A Unclear/M undefined standards S No common functionality definition

28. May 2010

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Issues 



 

D Who will pay/ install/ maintain the I consumer level smart interfaces/ R communication infrastructure G Regulatory & Policy Inputs are T incomplete R Data Protection A Possible M misuse of DSM & Direct Load Control Sby the Utility

28. May 2010

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Way Ahead 

 





D Increase the scope of C&A I in the existing Grid; Install SCADA R System Introduce Smart Meters/ G AMR Expand to includeT DT level in the monitoring scheme R A Extend the monitoring & control network M to devices in the homes S Add the Smart Grid applications

28. May 2010

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D Smart Grid: Conclusion I R G T R A M S

Conclusion 





 

D No common definition, Standards are I in draft stage R Demo Systems are inG place, Applications are being created T Regulatory/ Policy framework is still R to evolve A Source of funds is not clear M S It will be a Game-changer!

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Thank you

Anil Sinha

T R A

Consultant/ Advisor ([email protected])

M S

G

D I R

Smart GridA Road to Future

Kuldeep Tickoo Siemens Ltd, India

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May 10

E D EA

© Siemens AG 2009 Energy Sector

The starting point: changing needs, growing demands

Energy efficiency Increased energy trading

Greater network complexity and vulnerability

Network conditions and requirements Cost pressure

Fluctuating infeed Aging infrastructure and lack of experts

Integration of renewable energy sources

Increasing distance between generation and load

Power quality

Integration of distributed energy resources Integration of intelligent buildings

High supply quality

Legal and regulatory framework

CO2 reduction External influences Page 2

May 10

Operational factors E D EA

© Siemens AG 2009 Energy Sector

The starting point: Drivers for flexible and (cost)-efficient grids

Challenges for the utilities

Drivers

Efficient grid for profitability

Need for more energy Environmental sustainability Competitive energy prices

Regulatory and political push

Security of supply

May 10

Demand side management for accessibility Quality assurance for reliability

Aging infrastructure and workforce Page 3

Multiple infeed for flexibility

E D EA

© Siemens AG 2009 Energy Sector

Siemens Smart Grid: Always aiming for your benefit

Flexibility

Reliability

Profitability

Accessibility

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© Siemens AG 2009 Energy Sector

Welcome to Smart Grid

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© Siemens AG 2009 Energy Sector

Vision of a Smart Grid

“Auto-balancing, self-monitoring power grid that accepts any source of fuel (coal, sun, wind) and transforms it for the consumer‟s end use (heat, light, hot water) with minimal human intervention.” “A system that will allow society to optimize the use of renewable energy sources and minimize our collective environmental footprint.” “It is a grid that has the ability to sense when a part of its system is overloaded and re-route power to reduce that overload and prevent a potential outage situation.” “A grid that enables real-time communication between the consumer and utility, allowing us to optimize a consumer’s energy usage based on environmental and/or price preferences.” Source: Xcel Energy’s

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© Siemens AG 2009 Energy Sector

Smart Grid - The three core components

1.

Smart Meters

2.

Grid Intelligence

3. Utility IT

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© Siemens AG 2009 Energy Sector

Pathways to a Smart Grid The solution

To

From

Primary equipment condition not well known

Condition monitoring for controlled overload of bottlenecks and reliabilitycentered asset management

Complex engineering, testing and manufacturing

Plug-and-play by Smart Substation Automation

Central generation, decentralized consumption

Integration of distributed generation and storage by virtual power plants

Unmanaged, not transparent consumption

Smart metering and load management

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Transmission

Blackout prevention by increasing the situational awareness and automated counter measures

Distribution

Manual reaction to critical network situations

© Siemens AG 2009 Energy Sector

Pathways to a Smart Grid: Blackout prevention

From

To Blackout prevention by increasing the situational awareness and automated counter measures

Manual reaction to critical network situations

What‟s necessary?

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May 10



New visualization concepts to increase situation awareness



Availability of real-time data



Problem-oriented decision support



Smart decision based on increased data volume and quality E D EA

© Siemens AG 2009 Energy Sector

Blackout prevention: Characteristics

Today„s standard

Evolution

Reactive grid operation Manual operation

Reactive grid operation Automated switching routines

Smart Grid blackout prevention Proactive, preventive grid management

 Grid dispatcher has to decide within seconds  Wrong decisions or inactivity > risk of blackout! Page 10

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© Siemens AG 2009 Energy Sector

Blackout prevention: Reference example

Expert System for ADWEA DMS (Abu Dhabi): Advanced Network Operation (ANOP) as part of Spectrum Power

Optimal action

Unplanned outages / disturbances

Fault isolation and network restoration

Planned outages Corrective measures Normal switching status Contingency evaluation

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Spectrum Power – Specially developed algorithm

Task

Network reconfiguration at ongoing customer supply Emergency cases: elimination of overloads and undervoltages Planned cases: Relief of equipment loads

Network reconfiguration to come back to normal switching status © Siemens AG 2009 Energy Sector

Blackout prevention: Benefits

 True operator assistance in every situation – with the right degree of complexity Flexibility

Reliability

Profitability

=

 Unique and robust algorithm – adequate solutions for all operational tasks  Significant time savings – e.g. for outage planning

 Reduced chance of errors during planning

Accessibility

…with Advanced Network Operation (ANOP)

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© Siemens AG 2009 Energy Sector

Pathways to a Smart Grid: Condition monitoring

From

To Condition monitoring for controlled overload of bottlenecks and reliability-centered asset management

Primary equipment condition not well known

Condition monitoring – looking inside your equipment Gis

Transformer & Tap Changer CT, VT

Circuit Breaker

Isolators, Disconn. Earthing S.

Secondary Equipment OHL

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Cable

May 10



Information on the ageing or health condition of a primary device in operation



Provided by special sensors and / or derived from data typically available

Surge Arrester

E D EA

© Siemens AG 2009 Energy Sector

Condition monitoring: Modular integration

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© Siemens AG 2009 Energy Sector

Condition monitoring: Reference example

Transformer Monitoring for Hydro Québec (Canada)

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May 10

Additional benefit: Peak load transmission at low ambient temperatures © Siemens AG 2009 E D EA Energy Sector

Condition monitoring: Benefits

 Extended lifetime  Improved asset protection  Reduced maintenance costs

 Increased transmission capacity

Flexibility

 Increased reliability Accessibility

Profitability

=

through…  Congestion Management

Reliability

 Outage avoidance and blackout prevention  Risk management  Early warning for damages caused by abnormal weather conditions Page 16

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© Siemens AG 2009 Energy Sector

Pathways to a Smart Grid: Smart Substation Automation

From

To

Complex engineering, testing and manufacturing

Plug-and-play by Smart Substation Automation

Smart Substation Automation – what does it stand for?

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May 10



Integrated solution – offering advanced functionality based on different devices up to now



Plug-and-play-like functionality with the latest standards (IEC 61850)



Ready-to-tie-in solution



Access to non-operational data E D EA

© Siemens AG 2009 Energy Sector

Smart Substation Automation: Applications

Smart Gear via IEC 61850 Programmable, self-monitoring GM-SG medium voltage metal-clad switchgear

Applications 

Emergency standby



Primary power supply



Peak shaving

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© Siemens AG 2009 Energy Sector

Smart Substation Automation: Functionality

Smart Gear via IEC 61850 Programmable, self-monitoring GM-SG medium voltage metal-clad switchgear

Applications 

Auto / manual mode



Opening and closing breakers



Open and close transition



Auto transfer schemes:



Generator paralleling



Synchronization to utility



Speed and voltage control



Load sharing



Load control

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© Siemens AG 2009 Energy Sector

Smart Substation Automation: Benefits

 Fast-available solution – through shorter cycle times

Flexibility

=

Profitability

Reliability

=

 Time savings in engineering and commissioning: more than 50 %  Minimized wiring  Fast start-up – minimal downtime

 High reliability through simplicity

Accessibility

 Improved monitoring  Improved operational safety

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© Siemens AG 2009 Energy Sector

Pathways to a Smart Grid: Distributed Energy Resources (DER) and storage

From

To Integration of Distributed Energy Resources (DER) and storage by virtual power plants

Central generation, decentralized consumption

Virtual power plants – main features:

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May 10



Energy management system for monitoring, planning and optimization of DER



Forecasting system for load, generation of wind power plants and photovoltaic



Energy data management for collecting and keeping the required information, e.g. loads, contractual data



Front-end for the communication with the decentralized power units. E D EA

© Siemens AG 2009 Energy Sector

Distributed Energy Resources (DER) and storage: The DEMS® solution

As a Windows-based system, DEMS (Decentralized Energy Management System) provides…

Forecast of the regenerative production



Cost-optimal planning and management of decentralized power supply plants



Consideration of topological restrictions in the grid management



Analysis and assessment of individual energy purchase and contracts of sale

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Forecast of the regenerative production Production optimization Demand optimization

User interface

SCADA



Energy forecast

(Supervisory Control and Data Acquisition)

Energy forecasts

Process coupling



Reports

Storage

Communication

DEMS

E D EA

© Siemens AG 2009 Energy Sector

Distributed Energy Resources (DER) and storage: Reference example

Virtual power plant KonWerl (Germany)



Cost-optimal planning and management of decentralized power supply plants



Generation ranging from 500 kW to several MW each Includes coordination of different carriers

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Distributed Energy Resources (DER) and storage: Benefits of Virtual Power Plants

Improved Market Access: The bundling enables even small generators to trade at spot and balancing power markets. Bundling opens up new sales channels.

Support of network stability:

Flexibility Reliability

Profitability

Accessibility

=

With VPP distributed energy resources can cover peak demand.

Alternative to building new power plants: The VPP concept makes distributed energy resources attractive to utilities as well.

Alternative to network expansion: Bundled distributed energy resources supply electricity to regionally limited areas.

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© Siemens AG 2009 Energy Sector

Pathways to a Smart Grid: Smart metering

From

To

Unmanaged, not transparent consumption

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May 10

Smart metering and load management

E D EA

© Siemens AG 2009 Energy Sector

Smart metering: Characteristics

With regard to your business:

With regard to your customer: 



Monthly meter reading – higher transparency



 

Increased efficiency of metering business Reliable documentation of customer supply Reduction of nontechnical losses Chance for additional services

With regard to legal aspects: 



Platform for the “energy efficiency directive” Fulfillment of legal requirements

Smart metering and load management – what do they stand for?

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© Siemens AG 2009 Energy Sector

Smart metering: The AMIS System

AMIS Reference Project for Energie AG Oberösterreich (Austria)

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AMIS – the integrative complete solution for all distribution network operators © Siemens AG 2009 E D EA Energy Sector

Smart metering: Reference example

AMIS Reference Project for Energie AG Oberösterreich (Austria): The most important reasons for implementing an AMIS system are

 Automation of metering processes (meter reading, blocking of customer installations, billing, prepayment services, etc.)

 Significant improvement of customer processes  Implementation of various tariffs  Quality improvement of consumption data due to monthly meter reading

 Replacement of ripple control  Recording of the customer supply  Automation of the transformer stations  Support of the energy efficiency program of Energie AG

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© Siemens AG 2009 Energy Sector

Smart metering: Benefits

 Enhanced customer service

 Detection of non-technical losses (Tamper detection)

Flexibility

Profitability

Reliability

=

Accessibility

 Power quality monitoring  Data to improve the outage management  Load forecasting  Asset management, including transformer sizing

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© Siemens AG 2009 Energy Sector

Thank You

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May 10

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© Siemens AG 2009 Energy Sector