Specific SCADA/Control Application for mini Generation ... · SCADA/Control SolutionSCADA/Control...

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Specific SCADA/Control Application Specific SCADA/Control Application for mini Generation/Gridfor mini Generation/Grid

ESI Conference 2008ESI Conference 2008

November 27, 2008November 27, 2008Songpol KritsanapanSongpol Kritsanapan

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Mini Generation and GridMini Generation and Grid

This is our This is our challenge !!!challenge !!!

NoiseNoiseAestheticAesthetic

Land UseLand Use

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Mini Generation and Grid (cont.)Mini Generation and Grid (cont.)

• Hydro-electric Power Plant• MW

• Large Hydro (> 30 MW)• Mini Hydro (200 KW - 30 MW)• Micro Hydro (< 200 KW)

• Water Inventory• Run-off-river• Regulating Pond• Reservoir • Pump-storage

• Mini/Micro Hydro Power Plants

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• Wind Farms• Growing cost of fossil fuel energy• Growing popularity of renewable

energies• Recent technology and cost

improvements• No country appears to resist the

ongoing move toward our clean and effective energy source

• Very fast growing market

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• Grid• Hydro Plants• Wind Farms• SCADA Control Center• Far distance away from

each others

Source: EGAT PDP2007Source: EGAT PDP2007

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SCADA/Control Application SCADA/Control Application in Mini/Micro Hydroin Mini/Micro Hydro

Generation/GridGeneration/Grid

Source: Source: www.dede.go.thwww.dede.go.th

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Hydro in Thailand (EGAT)Hydro in Thailand (EGAT)

9.0แมงัด

8.0 (on-going)นเรศวร

30.0 (on-going)แควนอย

500.0

779.2

กําลังผลิตรวม (MW)โรงไฟฟา

ภูมิพล

สิริกิติ์

EGAT EGAT Hydro Hydro PlantsPlants

Large Hydro PlantLarge Hydro Plant

19.0แกงกระจาน

12.0 (on-going)แมกลอง

6.7 (on-going)ปาสักชลสิทธิ์

12.0 (on-going)เจาพระยา

10.0 (on-going)ขุนดานปราการชล

39.0

300.0

720.0


ทาทุงนา

วชิราลงกรณ

ศรีนครินทร

136.0ปากมูล

500.0ลําตะคอง

1.06หวยกุม

6.0

40.0

36.0

25.2


อุบลรัตน

สิรินธร

จุฬาลงกรณ

น้ําพงุ

240.0รัชชประภา

72.0บางลาง

1.275บานสันติ


North region

South region

North-eastern regionCentral & Western region

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Hydro in Thailand (Hydro in Thailand (DEDEDEDE))

890 (on-going)แมกะไน (มส)

850ยะโม (ตก)

1,030น้ําขะมึน (พล)

10,000 (on-going)นานตอนบน (นน)

1,700หวยน้าํขุน (ชร)

350กิ่วลม (ลป)

250แมตืน (ชม)

4,330แมมาว (ชม)

660หวยแมสอด (ตก)

818แมหาด (ชม)

200

1,360

5,040

1,250

860

3,200

850

กําลังผลิตรวม (kW)โรงไฟฟา

แมฮองสอน (มส)

แมกึมหลวง (ชม)

หวยแมผง (พย)

แมสะเรียง (มส)

บอแกว (ชม)

แมสาบ (ชม)

แมสะงา (มส)

DEDE DEDE mini mini

Hydro Hydro PlantsPlants

North region

680คลองดุสน (สต)

1,182คลองลําปลอก (ตง)

958หวยลําสินธุ (พท)

200ไอกะเปาะ (นธ)


850ลําพระเพลิง (นม)

12,200คีรีธาร (จบ)

4,500หวยปะทาว (ชย)

9,800 (on-going)


คลองทุงเพล (จบ)

South region

Eastern & North-eastern region

Small (Village) Hydro UnitsSmall (Village) Hydro UnitsOffOff--gridgridRated ~ 20Rated ~ 20--50kW each50kW each39 Villages 39 Villages 1,155 kW in Total1,155 kW in Total

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Hydro in LaosHydro in Laos

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Hydro in Laos (North)Hydro in Laos (North)

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Hydro in Laos (South)Hydro in Laos (South)

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Hydro Generation Hydro Generation ChallengesChallenges

• Power System Planning:• Network Integration

• Power System Operation: • Co water usage/management with Irrigation and

Agriculture• Meteorological/Hydrological Predictable• Reserve/Unit Commitment• Counter-balance for Volatility

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SCADA/Control SolutionSCADA/Control SolutionForecastForecast

SCADASCADA

Plant ControlPlant Control

Unit ControlUnit Control

Plant Control• Synchronization, Excitation • Load Control• Turbine Flow• Ramp Rates• Breaker Status

SCADA Control• Unit Loading• Pond Control/Economic

Dispatch• Transmission Line Monitoring• Tie-Line Control• Load Shedding

Forecasting Engine• Pond Forecasting• Spill Control/Flood Control

Unit Control• Automation Control• Equipment Protection• Unit Sequencing• Equipment Start/Stop• Emergency Shutdown

Hydroelectric Control Hydroelectric Control ApplicationsApplications

Main Electrical System• Pump System• Turbine System• Generator System• Governor System• Lubrication System• Penstock Water System• Cooling Water System• Sumps and Drains System• HVAC/Fire/O2 Systems• Compressed Air System• Vibration Monitoring• Temperature Monitoring• Protections• Hydraulic Pumping Unit• Gateway Position• Metering• Ancillary Equipment• Exciters• Electrical Relay Protections• Power Systems• Wicket Gates• Outlet Chambers• Water Levels• Substations

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SCADA/Control Application SCADA/Control Application in Wind Farmin Wind Farm

Generation/GridGeneration/Grid

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EGATEGAT

10 kW10 kW * * 2 Units 2 Units ((Hybrid)Hybrid)

150 kW * 1150 kW * 1 Unit Unit ((Grid)Grid)

PromthepPromthep PhuketPhuket

Recycle Engineering Co., Recycle Engineering Co., Ltd..Ltd..

150 kW * 1 unit150 kW * 1 unit

King Chan,King Chan, ChonburiChonburi

KMITTKMITT

10 kW * 110 kW * 1 Unit Unit ((HybridHybrid))

Tarutao, StoolTarutao, Stool

KMITTKMITT

2.52.5 kW * 1kW * 1 UnitUnit ((HybridHybrid))

Pukradueng,Pukradueng, LoeyLoey

Wind Generation in ThailandWind Generation in Thailand

PEAPEA

1500 kW (Grid)1500 kW (Grid)

SatingphraSatingphra, Songkhla, Songkhla

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Wind Assessment in ThailandWind Assessment in Thailand

• Wind Assessment

Source: Source: www.dede.go.thwww.dede.go.th

(Department of(Department of

Alternative EnergyAlternative Energy

Development and Efficiency) Development and Efficiency)

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Wind Assessment in Thailand (cont.)Wind Assessment in Thailand (cont.)


GRID• EGAT• PEA – 33kV

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Wind Generation Target AreaWind Generation Target Area

Average Wind speed > 5 m/sCF >15%

• Nakorn Sri Thammarat• 20 MW• Pilot

• 1.5 MW * 1 unit• 250 kW * 1 unit

• Songkhla• 15 MW

• Patani• 10 MW

• Total : 45 MW

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Wind Generation Target Area (cont.)Wind Generation Target Area (cont.)


• Nakhon Sri Thammarat DEDE Pilot• 1.5 MW• 250 kW

• Sating PhraPEA Pilot• 1.5 MW

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Wind Generation Wind Generation ChallengesChallenges

• Power System Planning:• Network Integration

• Power System Operation: • Non-controllable• Poorly predictable• Sudden Volatility• Load-frequency control• Voltage stability• Reserve/Unit Commitment

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Wind Generation SolutionsWind Generation Solutions

Key elements of a successful integration• Information

• Need for massive, accurate and reliable data, in real-time

• Knowledge• Every terrain is different, need for wind generation

models• Forecasting

• Need for accurate short term wind generation forecasts

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Wind Generation HQ ExampleWind Generation HQ ExampleHQ – Hydro Quebec• Hydro – flexible hydro-generation, mid-to-long term

reservoirs• Wind

• 990 MW in 2003• 2,000 MW in 2005• Planned capacity 4,000 MW by 2015

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SAGIPESAGIPESystème pour l'Acquisition et la Gestion de l'Information sur les Parcs Éoliens or System for the Acquisition and the Management of the Information on Wind Farms

SNCSNC--LavalinLavalin’’s SAGIPE for s SAGIPE for HQ DistributionHQ Distribution

Role of SAGIPE• Information

• Gathers massive wind generation data in real time

• Knowledge• Permits characterizing wind generation in a northern climatic

region

• Forecasting• Integrates short term wind generation forecast engines

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SNCSNC--LavalinLavalin’’s SAGIPE for s SAGIPE for HQ Distribution (cont.)HQ Distribution (cont.)

• Acquisition (1/2)• Real-time data from the wind farms (windmills, masts, etc.)

• Active power, wind speed, wind direction, temperature and blade pitch angle for each windmill

• Wind speed, wind direction, temperature, relative humidity and pressure at various elevation levels for each meteorological mast in the wind farm

• Total active power, actual farm capacity, etc., per wind farm

• 10-minute records (min, max, avg., sum), synchronously

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• Acquisition (2/2)• Hourly weather forecasts• Designed to host several

Numerical Weather Prediction (NWP) models (meso-scale grids), currently:• Canadian Meteorological

Center’s GEM 15km• Environment Canada’s

experimental SPEO 2.5km • Historical generation from

metering system• Planned plant outages

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• Data Management (1/2)• Data acquisition component• Data management component

• Real-time database (wind generation data model)• User Interface• Alarm subsystem

• Data analysis component • De-normalized historical database for SAS™ analysis• Treasure trove of information for specialists

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• Data Management (2/2)• Forecasting component interface• European Union’s ANEMOS running a Power Curve

Model (PCM)• ANEMOS running Technical University of Denmark’s Weather

Production Prediction Tool (WPPT)• HQ proprietary enhanced Power Curve Model

• Publication component, forecasts released to• Individual farm forecasts to GENCOs• Provincial forecast to HQP (HQ Generation) scheduling system• Individual and provincial forecasts to HQD (HQ Distribution)

market system

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• Architecture

Oracle Views

TCP / IP

Real-time data(wind farms)

SCADA

EMS

SAGIPE

SAGIPE data analysis (SAS)

Generation forecasts

(to GENCOs, HQP and HQD)

Forecasting engines

DNP3.0 / IP

ICCP / IP

Users

Metered wind farm generation

(HQ metering dept)

Weather forecasts

(meteorological centres)

Source: SNCSource: SNC--LAVALIN INC.LAVALIN INC.

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Thank youThank you

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Loxley and its solutionsLoxley and its solutions

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