a platform for interdisciplinary collaboration on large...
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A Platform for Interdisciplinary Collaboration on Large Integration���of Offshore Wind Farms in Japan: ���
From My Experience in JST-CREST���Project
Yoshihiko SusukiDepartment of Electrical Engineering
Kyoto University, Japan
Japan - Norway Energy Science WeekTokyo, May 28, 2015
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My Focus on…
May 28, 2015 Yoshihiko Susuki, Kyoto University, Japan 2
mainly
partly
from Program for Special Session “Met-Ocean Measurements and Modeling for Offshore Wind Energy”
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Introduction to Offshore Wind Energy • Large wind
resource remaining• Relatively-stable
and strong wind speeds available
• Wind Farm (WF) with a larger capacity constructed
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Ref.)EWEA, European Offshore Statistics 2014
• “Hywind” demo in Norway– 2.3MW floating
wind turbineRef.)Statoil webpage
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Integration Issues of Wind Energy in Japan
• Heterogeneous distribution of wind potential: North and west Japan
• Intermittency in wind energy extracted– Complicated natural phenomenon: Chaotic!
• How do we maintain stability and reliability of the integrated grid even in emergency situation?
May 28, 2015 Yoshihiko Susuki, Kyoto University, Japan 4
• How do we smoothly integrate wind farms with the existing electricity grid?
Ref.) Map of Potential Wind Resource
Reported by the Ministry of the
Environment More than 8.5m/s
Ref.) FERC, Electricity Rev. Japan 2011
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Purpose and Contents
1. How did we create a platform where researchers in different domains exchanged ideas and studied together?
2. What research problem did we study in the created platform?
May 28, 2015 Yoshihiko Susuki, Kyoto University, Japan 5
Creating a Platform for Interdisciplinary Collaboration on Large Integration of Offshore Wind Farms in Japan
Two Questions:
ü A personal view from my experience in the JST-CREST project during 2013-2015
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First Part
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1. How did we create a platform where researchers in different domains exchanged ideas and studied together?
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Wind Forecast Data by CReSS
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From 0AM (JST), January 2, 2013
Temporal Resolution: 1min.
Spatial Resolution: 2km
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Data-Centric Platform for Collaboration
May 28, 2015
Modeling and
Applied Math.
Computer Science
Dependability Software
Control Technology
Decision-MakingOptimization
PowerTechnology
TransmissionDistribution
Power Electronics
Yoshihiko Susuki, Kyoto University, Japan 8
Meteorology
ForecastingFluid
Mechanics
Profs. Uyeda
Tsuboki(Nagoya Univ.)
Yoshihiko SusukiMr. Fredrik Raak(Kyoto Univ.)Dr. Chiaki Kojima (Univ. Tokyo)
Prof. Yasumasa FujisakiDr. Takayuki Wada(Osaka Univ.)
Prof. Hideharu Sugihara (Osaka Univ.)Prof. Yoshifumi Zoga (Hiroshima Univ.)
Prof. Tatsuya Tsuchiya (Osaka Univ.)
Prof.Yohei Morinishi
(Nagoya InstituteTech.)
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Simulation-BasedWind Forecasting
Time
Space
sec min hour day
1 km
10 km
102 km
103 km
Turbine-Scale
Farm-Scale
Grid-Scale
Short-Term Long-Term Mid-Term
Fault Diagnosis
Optimal Power Flow and Operation
Transient Analysis
and Control
Governor Free
Load-Frequency Economic Dispatching
Emergency
Conventional Control and Operation Methods of Electricity Grids
Bird’s-Eye View of Collaborative Research
May 28, 2015 Yoshihiko Susuki, Kyoto University, Japan 9
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Research Topics
PhysicalObservables
Spatial-Scale/Forecast Period
/Forecast HorizonData Format
EconomicLoad
Dispatching(Short-Term)
Wind Speed orWind Power
Grid/3 to 5 Minutes/3 to 5 Minutes
Probability Distribution
of Forecast Error
Economic���Load ���
Dispatching(Long-Term)
Wind Speed orWind Power Grid
/5 to 10 Minutes/2 to 3 Hours
Time Series andProbability Distribution of
Forecast Error
TemperatureWind VelocitySolar Radiation
Time Series
Operation���Planning
(Next Day)
Averaged Wind Output Power (over a Hour)
Grid/One Hour/One Day
Time Series andProbability Distribution of
Forecast Error
Fault DiagnosisMaintenance
Wind SpeedFailure Rate
Turbine/One Day/Day to More
Time Series
DynamicSimulation
Wind Speed Turbine to Grid
/A Few Seconds/---Time Series
Classification of Data for Wind Integration
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Second Part
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2. What research problem did we study in the data-centric platform?
p Robust Operation Planningp Dynamic Simulation
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Power-Flow Model of
Electricity Grid with Offshore Wind Farms
2-1. Robust Operation Planning
Global WindForecast
Data
GenerationDispatch
?
ü Robust, optimal operation planning of electricity grid under uncertain wind forecast• Theory and numerical implementation in
optimization problem• Practical validation
Initial conditions and parameters
(PV,PQ-buses etc.)
Energy Management System
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Robust Optimal Power-Flow Problem
• Use of randomness for fast and tractable computation Ref.) T. Wada et al., Proc. 53rd IEEE CDC, pp.5195-5200 (2014).
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Guaranteed Generation Planning under Uncertain Wind Forecast
Power-Flow (Equality) Constraints
Cost Function
Generated power at bus i
Consumed power at bus i
Wind power at bus i
Variables can vary according to wind fluctuations.
(add.) Inequality Constraints for Voltage and Power
Randomized Algorithm
Finite Set of Wind Power Outputs
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Numerical Example
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IEEJ East 30-Machine Benchmark Model Installed
Wind Farm near Ibaragi Prefecture
Wind-Speed Forecast
HOUR
Ref.) T. Wada et al., Proc. SCI’15, Osaka, Japan, May 20 (2015).
No Error
n=10% Error
n=20% Error
Cost [Yen/h] 10,991.1 10,119.1 11,178.1
Is any constraintviolated?
YES YES NO!
TIME-AVERAGE
n%error
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2-2. Dynamic Simulation of Wind Farms
Local WindForecast
DataGenerated
Power
Wind FarmOutput
Initial conditionsParameters (turbine, farm, and grid)
? Static or Dynamic Model
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ü Dynamic Simulation of Wind Turbines and Wind Farms Incorporated with High-Resolved Wind Forecast Data– Short-term after/during:
• Occurrence of a fault at wind turbine• Approach of a cold storm (see later); etc.
– Long-term
Simulation data for surface wind speed near the west coast of Aomori prefecture
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MATLAB-Based Simulation Code
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Wind ForecastData as INPUT
Refs.) F. Raak et al., Proc. SCI’15, Osaka, Japan, May 20 (2015); --- (submitted for international conference, 2015).
WF Power as OUTPUT OF SIMULATION
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Numerical Examples
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Long-termw/ static model
WF
20 t
urbi
nes
Short-termw/ dynamic model
24
29
© Fredrik Raak
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Summary - Two Messages
1. The data-centric platform is the key driver for exchanging ideas to develop a new technology on the next-generation electricity grid.
2. More work should be done and is ongoing in university-university collaborative project.
May 28, 2015 Yoshihiko Susuki, Kyoto University, Japan 18
Creating a Platform for Interdisciplinary Collaboration on Large Integration of Offshore Wind Farms in Japan
Two Messages:
ü A personal view from my experience in the JST-CREST project during 2013-2015
![Page 19: A Platform for Interdisciplinary Collaboration on Large ...injapan.no/energy2015-day2/files/2015/06/ESWJ-2015-met-ocean-Susuki.pdfuniversity-university collaborative project. Yoshihiko](https://reader033.vdocument.in/reader033/viewer/2022053008/5f0c18dd7e708231d433b9fa/html5/thumbnails/19.jpg)
Thank you for your kind attention!
Contact Info:v [email protected]
v http://www-lab23.kuee.kyoto-u.ac.jp/susuki
May 28, 2015 Yoshihiko Susuki, Kyoto University, Japan 19