Smart Grid Technologies : Portfolio Presentation

Transcription

1 Smart Grid Technologies : Portfolio Presentation TNC BANGKOK - 15 February 2013 Kevin W. Chiu Sr. Systems Manager Systems Engineering Siemens, Infrastructure & Cities Sector Siemens 2012

2 Energy systems worldwide are changing Page 2 Feb 15, 2013 Kevin W. Chiu

3 Paradigm shift in power grids: The new age of electricity it 20th Century Unsustainable energy system End of 21st Century Sustainable energy system 'Generation follows load' 'Load follows generation' Fossil energy sources Renewable energy sources Page 3 Feb 15, 2013 Kevin W. Chiu

4 New uses of electricity will increase demand and change usage patterns Page 4 Feb 15, 2013 Kevin W. Chiu

5 Looking for innovative solutions? Page 5 Feb 15, 2013 Kevin W. Chiu

6 Significant changes in energy system require a new Smart Grid infrastructure t Challenges in changing energy system Renewable and distributed generation Limited generation and grid capacity Aging and/or weak infrastructure Cost and emissions of energy supply Smart Grid offers solutions Balancing generation & demand, new business models Load management & peak avoidance Reliability through automatic outage prevention and restoration Revenue losses, e.g. non-technical losses Efficient generation, transmission, distribution & consumption Full transparency on distribution level and automated loss prevention Page 6 Feb 15, 2013 Kevin W. Chiu

7 Contents t Renewable Energy Integration Page 7 Feb 15, 2013 Kevin W. Chiu 7

8 At the distribution level, changing in-feed patterns due to local generation are challenging existing grid infrastructure Weekly loading of a transformer station in the rural area the LEW-Verteilnetz GmbH 2003 and today Load in kw Load profile 2003 Load profile today :00 12:00 0:00 12:00 0:00 12:00 0:00 12:00 0:00 12:00 0:00 12:00 0:00 12:00 0:00 Source: LEW Page 8 Feb 15, 2013 Kevin W. Chiu

9 Smart Grid: Measure, Analyze, Take Action Smart Grid User Interface Measure Using smart meters, IEDs Analyze Dynamic grid analysis Take Action Set points for storage, loads, generators, and trading Page 9 Feb 15, 2013 Kevin W. Chiu

10 Low-Voltage Distribution Energy-Distribution ib ti solution MV Distribution AMIS Meter LV Distribution SENTRON T DLC Modbus SINVERT Solar SIMEAS P SICAM 1703 emic Keep voltage limits Reduce voltage dips Increase load capacity Distribution-Network Optimization Improved power quality to reduce side effects Improved load capacity for decentralized power infeed Smart Meter Postpone costly network upgrades Page 10 Feb 15, 2013 Kevin W. Chiu

11 Contents t Energy Management Systems Page 11 Feb 15, 2013 Kevin W. Chiu 11

12 Spectrum Power Roadmap in line with Smart Grid SP1 SP2 Spectrum Power 4 ADMS 2 Spectrum Power SP1 Spectrum Power SP1 SP SP1 SP Spectrum Power 5 HIS TNA DNA IMM OTS Web-UI joms WPM jros Page 12 Feb 15, 2013 Kevin W. Chiu

13 DEMS as a solution for virtual power plants Network Control System Decentralized Energy Management System Energy Exchange G Biomass Power Plant G Block-type Heating Power Plant Communication Network Billing Meteorological Service Flexible Loads PV Power Plants Fuel Cells Communication Unit - + Storage Wind Power Plants Mod. Z Meter Reading Mod. Mod. Z Z Mod. Mod. Mod. Z Z Z Distributed Loads The DEMS approach is a management method for a cluster of distributed energy resources (generation, controllable loads and storages such as microchp, wind-turbines, small hydro, back-up gensets, flexible loads, batteries etc.) which are collectively run by a central control entity. The concerted operational mode shall result in an extra benefit e.g. to deliver or minimize peak load electricity, balancing power at short notice or trading at energy exchanges with potential respect to capacity related system services (such as grid bottlenecks). Page 13 Feb 15, 2013 Kevin W. Chiu

14 Microgrid id Structure t CHP - Waste Bio Gas Controllable Load Utility Grid Hydro Controllable Generation Energy Manager Limited or not Controllable Generation Point of Common Coupling Hydro Wind Photo Voltaic Energy Storage Page 14 Feb 15, 2013 Kevin W. Chiu

15 Microgrid id Energy Manager Features Control & optimal utilization of μg-generators Voltage & Frequency Secondary Control in island mode Energy Import & Export control Decision for Grid Connected or Island Mode Countermeasures against disturbances Load Management / Demand Response Page 15 Feb 15, 2013 Kevin W. Chiu

16 Contents t HVDC Page 16 Feb 15, 2013 Kevin W. Chiu 16

17 HVDC and FACTS From Congestion, bottlenecks, and blackouts To Security, sustainability, and efficiency of power supply What s necessary: Control of power flow Avoidance loop flows and overloads System interconnections ti with HVDC (Firewall) Use of integrated AC/DC systems with FACTS & HVDC Support of voltage recovery after system faults Reduction in Transmission losses (HVDC) Use of bulk power energy highways with HVDC & FACTS Page 17 Feb 15, 2013 Kevin W. Chiu

18 The benefits of HVDC and FACTS Reduction in transmission losses increase in system security Reliability Flexibility Accessibility Profitability Reduction in CO 2 emissions through grid access of large wind, hydro, and solar power plants Bulk power transmission in the gigawatt range over distances of 1,000 kilometers and more Increase in power quality on the various voltage levels Increase in system stability Page 18 Feb 15, 2013 Kevin W. Chiu

19 Trans bay cable project, USA: Security of power supply for San Francisco area with HVDC PLUS Transmission constraints before TBC 2010 Transmission constraints after TBC Energy exchange by sea cable No increase in short-circuit power P = 400 MW Q = +/ MVAr Elimination of transmission bottlenecks Dynamic voltage support Page 19 Feb 15, 2013 Kevin W. Chiu

20 Contents t Substation Automation Page 20 Feb 15, 2013 Kevin W. Chiu 20

21 IEC communication within a substation Control Center IEC DNP3 TCP Substation Controller 1 Station bus 2 3rd party device Parallel wiring 3 Process bus Control / Inforeport (ca. 500 ms delay time) GOOSE Inter IED Communication (ca ms, dep. on application) Sampled Values (ca 2 ms delay time) Digital Instrument Transformer Data via IEC Merging Unit CT VT Circuit Breaker Controller x Page 21 Feb 15, 2013 Kevin W. Chiu

22 PRP/HSR in Parallel l and Ring Redundancy d application Redundancy Manager SC IED Station ti Bus PRP or HSR in parallel mode IED IED IED IED Process Bus HSR IED IED IED application Page 22 Feb 15, 2013 Kevin W. Chiu

23 PRP/HSR in Parallel l and Ring Redundancy d application SC Redundancy Manager Station Bus PRP or HSR in parallel mode IED IED IED IED Failure in parallel string IED Process Bus HSR IED IED IED application Page 23 Feb 15, 2013 Kevin W. Chiu

24 IEC Process Bus at Siemens E D EA Status Today: Get experience in evaluation projects discuss technology with customers. other Pilots other techn. evaluation Basic Research and evaluation of equipment Merging Unit RWE pilot Nehden Real time Ethernet module today Implementation in products Page 24 Feb 15, 2013 Kevin W. Chiu

25 Contents t Condition Monitoring Page 25 Feb 15, 2013 Kevin W. Chiu 25

26 Why Condition Monitoring? i Cutback of expenditure Retirements Downsizing Postponed invest in T&D infrastructure Extended component life-time Renewable energy transmission Increasing energy demand Penalties Loss of expertise Ageing equipment Higher loading Increasing performance targets Condition monitoring: 1. enables an effective prediction and by that avoidance of failures 2. offers a possibility for safe use of assets at higher loading and by that supports both Asset Management and Operation Page 26 Feb 15, 2013 Kevin W. Chiu

27 CM 1 Portfolio, ( ISCM 2, if in-house system integration ) standard d optional Asset Type Application ISCM status Module Asset Type Application ISCM status Module Transformer TX-Condition Monitor Gas in oil monitoring i Tap Changer Transformer Partial Discharge Bushings x x x x x SITRAM CM GAS-GuardG TAP-Guard PD-Guard BUSHING- Guard IES Isolators, Disconnectors, Earthing switch IES gas/oil/performance can be included in CBM GIS SF6 (rem. ind. up to arc loc.) UHF partial discharge Arc detection, light sensor GIS x x SAR Surges and leakage current Surge Arresters o CB CB drive, SF6, performance x ITR SF6/oil/PD ITR Circuit Breaker OHL (3 rd ) OHL Tension/Ampacity BoP (3 rd ) Over Head line Balance of Plant, Auxiliaries Battery Diesel Cable (3 rd ) Cable Condition SEC Operating data, alarms cable 1) Condition Monitoring 2) Integrated Substation Condition Monitoring Secondary Equipment Control & Protect Implementation if business case Under development Stand alone monitoring available Interface ISCM realized Released as ISCM Ready Page 27 Feb 15, 2013 Kevin W. Chiu

28 ISCM Solution and Modular Integration ti ISCM Solution: Operation (optional) Integration System-HW Knowledge Modules Archive Report Evaluate Calculate Data Logging Transfer Sensors Measure -Trends -Visualisation -Limits -Algorithms -RTU -Select KM Transformator Page 28 Feb 15, 2013 Kevin W. Chiu

29 Integration ti into Energy Automation ti Infrastructure t Spectrum PowerCC Knowledge Module 4. Knowledge Modules ( Monitoring-specific calculations and analysis ) 3. Control Center Level Spectrum PowerCC ( AS CM-System or -Center ) 2. Substation Level ( SICAM PAS and/or SICAM 230 ) 1. Physical sensors and SCADA data ( via RTU s ) Knowledge Module Knowledge Module SICAM PAS SICAM 230 TM 1703 mic TM 1703 ACP BC 1703 ACP AK 1703 ACP Page 29 Feb 15, 2013 Kevin W. Chiu

30 Contents t Feeder Automation Page 30 Feb 15, 2013 Kevin W. Chiu 30

31 Infrastructure 50+ Outages in the MV Distribution ib ti Network FISR Many times Outages in the Distribution Automation are caused by Components older than 50 Years ration per Year Interruption du Storm Kyrill Extra HV HV MV LV Example: Germany Interruption Frequency Solution: Modernization of the Distribution Network on the long run Interruption Duration Solution: Feeder Automation 100% ~ 90% ~ 60% Without Automation Loss of Lange revenues Unterbrechungszeiten High costs Hoher to investigate Personalaufwand fault location 1 100% ~ 90% ~ 60% 90 t Fault indicator Reduced loss of revenues en es Reduced costs to investigate fault location t 100% ~ 80% ~ 90% t Feeder Automation Smart-IED SICAM 1703 emic Nearly no loss of revenues Fault cleared in a minimum of time High customer satisfaction index Page 31 Feb 15, 2013 Kevin W. Chiu

32 Distribution Networks today Last mile Difference US Europe (Germany) Transformer Low Voltage (400V) MS Switchgear 8DJH - RRT Typical Ring Main Unit RMU, e.g. in Germany Pole top mounted installations US Page 32 Feb 15, 2013 Kevin W. Chiu

33 Feeder Automation / Distribution Management Reduce outage times FISR Utilities motivation: B B S S DEMS Breaker closed Breaker Open Switch Closed Switch Open DER-3 S S Smart IED Feeder Automation S S B Power CC DSCADA/DMS SICAM Substation Automation GPRS/3G Tetra Radio BPLC WiMax B DER-2 B S S S S 20kV B B DER-1 0,4 kv Reduce outage times by - locating the fault location using fault indicators - restore service as quick as possible by sending maintenance directly to faulty RMU Small solution (available) - report status of fault indicators via Smart IED - evaluate information in Control Center - send maintenance team to restore service E D EA approach: Central / semi central architecture - report status of fault indicators via Smart IED to Power CC and/or SICAM - Power CC or SICAM evaluate fault location automatically - Power CC or SICAM start restoration sequence Distributed architecture - peer to peer communication for all Smart IEDs using 3G or WiMax and IEC affected Smart IED are switching as necessary automatically - report new ring status to Power CC / SICAM Implement restoration sequences for SICAM PAS / 1703 & Power CC Develop Smart IED with IEC61850 and ring management functionality Page 33 Feb 15, 2013 Kevin W. Chiu

34 Solutions for Intelligent t Ring Main Units Integrarted Solution: 1 RTU = CMIC 2 Accu 3 Charger 4 MCPs 5 Modem FPI LV Page 34 Feb 15, 2013 Kevin W. Chiu

35 System Design Architecture Communications (RuggedMax WiMax) Automatic Controllable Switchgear (SDR Recloser) Conventional Protection & Control (7SR22) Automation Controller (7SJ80) PLC Functionality IEC61850 Page 35 Feb 15, 2013 Kevin W. Chiu

36 Typical Applications for Feeder Automation ti Fault Isolation and Service Restoration Detect and locate a fault in the feeder, isolate the faulty section and set the healthy portions of the feeder back into service Source Transfer Detect and isolate a faulty source and set the de-energised sections of the feeder back into service Load Balancing Balance the load within a feeder by moving the Normally Open Point Page 36 Feb 15, 2013 Kevin W. Chiu

37 Typical Applications for Feeder Automation ti Sequence switchover (e.g. storm mode) Change isolation and restore sequences because of changing mode conditions Section Isolation Isolate a dedicated section of a feeder for maintenance without affecting other sections Restore Set the feeder back to its defined normal/steady state Page 37 Feb 15, 2013 Kevin W. Chiu

38 Contents t Automated Metering Infrastructure Page 38 Feb 15, 2013 Kevin W. Chiu 38

39 Siemens has been continuously and proactively extending gportfolio and footprint in Smart Metering North America Acquired emeter in USA Adding world-class MDM into smart metering portfolio Asia Pacific South America Acquired SEnergy in Brazil Adding non-technical loss solution into smart metering portfolio Majority JV setup in China Smart metering competence center for Asia market Smart meter product for global market Page 39 Feb 15, 2013 Kevin W. Chiu

40 Products on our stand today Work / Asset Management System Customer Information System Field Worker Management Enterprise IT Distribution and Outage Management Geographical Information System Network Planning Distribution Specific IT Enterprise Service Bus or other integration framework Integration Layer Smart Pre-Payment Smart EnergyIP Meter Data Analytics Customer Energy Data Engage Portal EnergyIP Meter Data Management System MDM Electric Vehicle Charging Control Demand Response Demand Response Management System Load Control Distributed Energy Resource Control Smart Grid Applications Head End System / Remote Device Management Communications Communications PV Panel M In Home Display Controllable Devices Residential M M M M M Controllable Controllable Distributed Energy Device Device Resource EV Charging Commercial and Industrial Smart Meters, Field and Premise Infrastructure Page 40 Feb 15, 2013 Kevin W. Chiu

41 Thank you for your attention! Siemens 2012