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TotalControl - Advanced integrated control of large-scale wind power plants and windturbines
Larsen, Gunner Chr.; Giebel, Gregor; Natarajan, Anand; Meyers, J.; Bossanyi, E.; Merz, K.
Publication date:2019
Document VersionPublisher's PDF, also known as Version of record
Link back to DTU Orbit
Citation (APA):Larsen, G. C. (Author), Giebel, G. (Author), Natarajan, A. (Author), Meyers, J. (Author), Bossanyi, E. (Author), &Merz, K. (Author). (2019). TotalControl - Advanced integrated control of large-scale wind power plants and windturbines. Sound/Visual production (digital)
TotalControlAdvanced integrated control of large-scale
wind power plant
G.C. Larsen, G. Giebel, A. Natarajana, J. Meyers, E. Bossanyi and K. Mertz
Outline
• Consortium
• Overall objectives and approach
• How? – project structure
o WP1 + selected achievements (see also Session 2.5 tomorrow)
o WP2 + selected achievements
o WP3 + selected achievements
o WP4
o Wp5 + selected achievements
Consortium
Overall objectives
• To develop integrated WPP/WT control strategies -conditioned on grid demands - that maximize the life-cycle profitability of a WPPoMaximizing power production balanced against turbine
loading (i.e. fatigue load degradation of WTs and O&M costs) and electricity price
oEnhancing WPP capability to provide ancillary services
• To validate derived models: All WPs include experimental validation - WP1, WP2, and WP3 include full-scaleexperiments; WP4 include lab. scale experiments
Approach
• The ambition of TotalControl is to move WPP controller design philosophy from greedy individual optimization of WTs operation to a collaborative optimization of the overall WPP performance
WP’s
WP1 - WPP simulation models (1)
• Objectives: Development and validation of WPP simulation models of various fidelity … covering the whole chain from flow model over aero-elastic model to power-grid model.
WP1 - WPP simulation models (2)• Selected achievements:
o Fuga update:
Steady flow solver - CFD RANS
Linearized model … formulated in a mixed spectral domain
Approximately one million times faster than conventional CFD RANS
WT formulated as actuator discs
Actuator disc formulation based on ‘full rotor aerodynamics’ … using a BEM approach
Updated with yaw-induced wake deflection
The DTU analog to ‘Floris’ … including the wake features ‘Tony’ presented yesterday
WP1 - WPP simulation models (3)• Selected achievements:
o Lillgrund experiment: 3 long-range lidars + existing C-8 WT meas.
WP2 – Open loop control schemes (1)
• Objectives: Develop and validate optimized WPP control schemes … optimal economic WPP performance (power, load and electrical aspects) is pursued over the WPP life time … on time scales of the order of 10 minutes
• Approach … wake mitigation:
WP2 – Open loop control schemes (2)• Selected achievements:
o Platform for WPP control optimization
Objective function: WPP power production | (U,Θ)
Using Fuga as the ‘working’ horse (WPP flow modeling)
De-rating using 2 design variables pr. WT … Ω and αp
Design space collapsed to one design variable pr. WT … minimum Ct for given Cp ; validated!
WT modeled as actuator discs
Actuator disc formulation based on ‘full rotor aerodynamics’… potentially in the (mean) deflected WT state
To be updated with yaw-induced wake deflection … increasing the design space to again 2 design variables pr. WT
WP2 – Open loop control schemes (3)• Show case Lillgrunden:
o 48 turbines
o Spaced as close 3.3 D … wakes have a pronounced effect
o There is a ‘empty space’ in the middle of the WPP
o Overall AEP gain of 1 %
WP2 – Open loop control schemes (4)
WP2 – Open loop control schemes (5)• Selected achievements:
o Surrogate models for open-loop control based on medium fidelity load simulations (HAWC2 with DWM)
WP3 - Enhanced WT control schemes (1)
• Objectives: Development of new WT controller functionalities for facilitating optimization of wind plant operation over the WPP lifetime
• Approach:
o Develop new innovative WT control features … and use numerical simulations to test and evaluate these
Samsung 7MW WT is the test case
Power set-point reduction algorithms
Active yaw control
Model predictive controller
Individual pitch control using tower-top sensors
Lidar assisted control for load reduction
WP3 - Enhanced WT control schemes (2)
o Full-scale validation and testing using the Samsung 7MW WT
Samsung 7MW an ideal test-bed … being a state-of-the-art large-scale commercial WT
Forward-facing scanning LiDAR on the nacelle facilitating rotor inflow characterization … and essential for the proposed tests of LiDAR-assisted control
Rear-facing LiDAR allows the turbine to be used to characterize changes in the wake caused by control actions … including active wake steering to be investigated in WP1
WP3 - Enhanced WT control schemes (3)
• Long-range lidarscanning the wake
• DTU short-range lidar scanning the inflow
WP4 - Closed loop control schemes• Objectives: Unification of the results from other WPs into a suite of
practical wind power plant controllers + develop guidelines and standards for the design of wind power plants with advanced control functions
• Approach:
o “Closes the loop" on the open-loop wake control strategies developed in WP2, by
Accounting for model uncertainty
Accounting for stochastic (short term) variability of external conditions … based on on-line input from e.g. electrical sensors, wind speed sensors, and condition monitoring equipment
WP5 Dissemination (1)
Includes:
• Coordination of dissemination and communication activities
• Setup and maintenance of Project website
• Annual workshops and other dissemination activities (including production of videos)
• Exploitation of project results
WP5 Dissemination (2)Website: totalcontrolproject.eu
Thank You!
Questions?
2123 August 2019
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Task 4.1.1, grid
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Tasks 4.1.2, 4.1.3, 4.1.4:
• hierarchical control
• model-predictive
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• surrogate models
Task 4.1.5, dynamic
induction control
Task 4.2.1, electro-mechanical-control interactions; Task 4.2.2, design guidelines and standards