modeling renewable power systems wind and hydro€¦ · hydroelectric power plants wind power...
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Federal University of Santa Catarina Technological Center
Department of Mechanical Engineering Laboratory of Hydraulic and Pneumatic Systems
Modeling Renewable Power Systems
Wind and Hydro
Prof. Victor J. De Negri
Linköping, February, 2016
10th MODPROD Workshop on Model-Based Product Development
2 of 23 MODPROD2016 - Modeling Renewable Power Systems – Wind and Hydro
Electrical Generation in Brazil
• 4,146 power plants on operation:
142 GW of electrical power
• Under construction: 21.9 GW
Hydro power: 15.7 GW
Wind power : 2.8 GW
65.41
4.54
28.64
1.40 0.01 Hydroelectric PowerPlants
Wind Power Plants
Thermoelectric PowerPlants
Nuclear power Plants
Photovoltaic Power Plants
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Speed Governors for Hydroelectric Plants
Generator
PV Signal
DV Position
Velocity
Voltage
Servomotor Position
Speed Governor
Turbine
Water Flow
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Vento
Transmissão
Controlador
Aerodinâmica
Atuação
V(t)P mec.(ωR,TR)
P elec.(U,I)
βrefP elec.
β
Gerador
P mec.(ωG,TG)
Wind Turbine Power Control
Rotor
Transmission Generator
Controller Actuator
Wind
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Speed and Power Governors:
Automatic Systems
Automatic Systems:
• Applications including Control and/or Automation
• Events start the control tasks
• Behavior:
• Continuous:
• Discrete
Automatic
Systems
Automation
Systems
Control
Systems
1 1,05 1,1 1,13 1,15 1,2
0
50
100
0
50
100
Time [s]
Va
lve
op
en
ing
[%
]
Non linear, Kv=1,13, Kp=15,0
Non linear, Kv=1,43, Kp=8,0
Non linear, Kv=2,48, Kp=4,0
Non linear, Kv=5,38, Kp=2,0
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Automatic Systems
Automatic Systems:
• Several components
• Different technologies
• System behavior depends on the
interrelation between components
• System design and operation are not
trivial
Automatic systems have a
unique fundamental structure
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Automatic Systems
Modeling Perspectives
• Functional model:
• Specifies what the system does or should do
• Function describes the technical system ability to
fulfil a purpose
• Structural model:
• Describes where the functions are implemented
• Behavioral model:
• Explains how or when
the functions are executed
++
-
UZ1 UV1 xV11ZK
1SK
)121
(
2
V1
2 ss
K
nn
0Kq ++
-
++
-
sVt
4
1
BsMs
A
2
0Kc
As
pc
xA1
qvc
US1
pS
xA
qvc
V1 Valve
AA
AB
Me
S1
A1
xV
UU
V1
Z1
US1
Z1
BC
KC
FC
qvc/2
rA=AA/AB
rA=2A
A
Position transducer
Actuator
Controller
Z1
V1
A1 S1
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Hydro and Wind Power Plants
Functional and Structural Modeling:
• Applying Channel/Agency Petri Net
• Circuit Diagrams
Behavioral Modeling:
• Applying Grafcet, Ladder Diagram, Logical Block Diagram… for event
guided modeling (Discrete state modeling)
• Applying Differential Equations, Transfer Function, Power Bond Graph,
Block Diagram… for continuous state modeling.
MP
c4
FrancisTurbine
a1
H2O
c2 H2O
c3
Generator
a2
EP
c1
Cp
c5
Inf
c6
dy
y
PID
Au
PWM generator A
PWM generator B
Bu
Au
BuControl
Algorithm
PWM
uAdcu _
Bdcu _
Adcu _
Bdcu _
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Channel/Agency Net
• Heuser (1990), Reisig (1992), Hanisch (1992), De Negri (1996)
AGENCY 1
AGENCY 2
DIRECTED ARCS FOR ENERGY FLOW
AGENCY 3
PASSIVE UNITS (CHANNELS)
ACTIVE UNITS (AGENCIES)
DIRECTED ARCS FOR MATTER FLOW
DIRECTED ARCS FOR INFORMATION FLOW
DIRECTED ARCS FOR MATTER AND ENERGY FLOW
Basic elements
SymbolGenericname
Functionalview
Structuralview
Activeunit
Passiveunit
Activity(function)
Resource
Agency
Channel
Directed arcsSymbol Resource type
Energy
Information
Matter
Energy and matter
Hidden channelsSymbol
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Design Process: Function-Means Tree
• Hubka (1976); Andreasen (1980); Burr (1990)
• Technical systems / Mechatronic systems
FUNCTION
MEAN 1
or
and
MEAN 2 MEAN 3
F2.1 F2.2
M2.1 M2.2 M2.3 M2.4
F3.1 F3.2 F3.3 F3.4
M3.1 M3.2 M3.3 M3.4 M3.5
• C/A Net using the
Function-Means Tree perspective
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The Design Process: C/A Net
Refinement and condensation
Refinement
CnChannel
1
Agency1
Channel 2
c1.1
a1.1a1.c1
a1.2
c2.1 c2.2
c2.3c2.a1 c2.a2
c2.4
Condensation
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The Design Process using C/A Net
Example of Channel/Agency Net modelling
• Main function: Electrical energy generation
EP
c1
Power plant
a1
Thermal Wind Nuclear Hydroelectric
Hydroelectric
a1
EP
c1H2O
c2 H2O
c3
WavesTurbine (Dam)
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The Design Process using C/A Net
PeltonKaplanFrancis
MP
c4
Turbine
a1
H2O
c2
H2O
c3
Generator
a2
EP
c1
MP
c4
FrancisTurbine
a1
H2O
c2 H2O
c3
Generator
a2
EP
c1
Cp
c5
Inf
c6
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The Design Process using C/A Net
Scroll Case
a1
H2O
c2
H2O
c3
Generator
a2
EP
c1
Wicket gates
a3
H2O
c7
H2O
c8
Runner Blades
a4
H2O
H2O
c9
Draft Tube
a5
MP
c4
HP
c5
Inf
c6Inf
Power Unit
a6
Speed Governor
a7
Inf Cp
H2O, Usp
H2O
H2O, Usp
H2O, Usp
H2O, Usp
H2O, Usp
Cp
Usp
H2O
Usp
Usp
RTVX100
RVX300
RVX200
Electrical
Pneumatics
Hydraulics
Inf
c10Inf
Voltage Governor
a8
Inf
RTVX100
RTX300
RTX400
Cp
Usp
Inf
Control Power
Useful Power
Water
Information
HP Hydraulic Power
MP Mechanical Power
EP Electric Power
H2O
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The Design Process using C/A Net
Mathematical representation of Channel/Agency Nets
),,,,,,,,(N Postprecarereexex KKEACAC
c1
c2 c3
c4
c5 c6
a1
a2
r2
r1
r3
r1, r3
r3r1
r1, r3
},...,,{ 21 ncccC
},...,,{ 21 maaaA
},...,,{ 21 bre rrrE
Kpre a1 a2
c1 {r1}
c2 {r2}
c3 {r3}
c4 {r1, r3}
c5
c6
c2*a1
Kpost a1 a2
c1
c2
c3
c4 {r1, r3}
c5 {r1}
c6 {r3}
c2*a1 {r2}
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The Design Process using C/A Net
Analysis of the net properties • Activity 1.1: Structural Coherence
• Activity 1.2: Resource Flow Coherence
Logical operation “OR” between rows
VLKpre VLKpost VCKpre
VC Kpre – VC KpostVL Kpre – VL Kpost
VCKpost
VCResVLRes
Kpre Kpost
Eliminate non-zero elements
Supplier and consumer channels
Analyze non-zero elements
Logical operation "OR" between columns
Supplier channel
a1
Verify at Kpost which channels are linked to the agencies
Verify at Kpre which agencies are linked to the channel
a2 am
It is a consumer or blocked channel
...
Store relationship between supplier and consumer (or blocked) channels
Conclusion regarding resource flow coherence
c1 c2 cn...
Verify whether this is a consumer channel or a channel blocked by a controllable agency.
It is not a consumer nor blocked channel
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Equivalence between C/A net and circuit diagrams
The Design Process using C/A Net
Agent
Anglemax
= 15 °
Response = 100 ms
Signal Rudder
EneCylinder: d = 30 mm
Valve: qVn
= 32 L/min (p = 10 bar)
Controller gains:K
P = 2; K
I = 0,1
Position sensor:KS = 300 V/m
A1
FT
P1
V2
V3
Z1
a4 (M) c3 a3 (P1)
c1
a1 (Z1)
c4a5 (V2)
c5
c9c6
a6 (V3)
c2
a2 (FT)
c7
a7 (A1)
c8
c10
c11
c12
M
Mathematical analysis of
hydraulic, pneumatic,
and electric circuits
From conceptual to detailed design
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Reliability Analysis on the Automatic
System Design
2007
Henri C. Belan
2009
Gilson Porciúncula
Electric Diagram
Hydraulic Diag.
Grafcet
Reliability
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Hydro and Wind Power Plants
Functional and Structural Modeling:
• Applying Channel/Agency Petri Net
• Circuit Diagrams
Behavioral Modeling:
• Applying Grafcet, Ladder Diagram, Logical Block Diagram… for event
guided modeling (Discrete state modeling)
• Applying Differential Equations, Transfer Functions, Power Bond Graphs,
Block Diagram… for continuous state modeling.
MP
c4
FrancisTurbine
a1
H2O
c2 H2O
c3
Generator
a2
EP
c1
Cp
c5
Inf
c6
dy
y
PID
Au
PWM generator A
PWM generator B
Bu
Au
BuControl
Algorithm
PWM
uAdcu _
Bdcu _
Adcu _
Bdcu _
20 of 23 MODPROD2016 - Modeling Renewable Power Systems – Wind and Hydro
Continuous State Mathematical Models
• Hydrostatic Transmission for Wind Turbines
• Fixed displacement pump coupled to the rotor;
• Variable displacement motor coupled to the generator;
• Charging circuit, to avoid cavitation and compensate leakage;
20
M
GS
UV1
UZ1
Controller Z1
US1
US2 Synchronous
generatorUS3
Wind turbine
rotor
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Dynamic Modeling and Simulation
AMESim model
• Wind torque; Hydraulic circuit; Control System; Electrical grid
• Synchronous generator directly connected to the grid
21
2012
Eduardo Flesch
2015
Henrique Raduenz
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Prototype Design and Construction
Structural model (3D CAD):
• 8.5 m high: include the effects of height
difference;
• 28 kW;
• Using off-the-shelf components;
• Generated electricity delivered to the grid;
• Electrical motor act as wind turbine rotor
Behavioral model (AMESim);
• Study of control strategies;
• Analysis of the system connection to the grid;
• Improve the overall efficiency and achieve a
cost effective solution;
2015
Jonatan Turesson
Joel Rappp
Henrique Raduenz
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Pitch
control
Force calculation
Wind Turbine Blades:
Pitch control and Force Emulation
Matlab/Simulink
• System simulation
• Blade pitch control
• Real-time force calculation Force
emulation
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Wind Turbine Blades:
Pitch control and Force Emulation
Illustrative block diagram
Test bench
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Hydraulic System Design Using
Biodegradable Hydraulic Fluids
Illustrative model of the fluid ageing:
• Expert system development for the
system design support
• Software Function Block Diagram:
2013
Yesid Asaff
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• Automatic Systems
Models for Hydro and Wind Power Systems
• Electrical Generation
• Speed and Power Governors
• Functional and Structural
Modeling:
• Behavioral Modeling:
Kpre a1 a2
c1 {r1}
c2 {r2}
c3 {r3}
c4 {r1, r3}
c5
c6
c2*a1
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2016 Conferences on Fluid Power in Brazil
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Santa Catarina Island - Florianópolis
Hercilio Luz Bridge
Conceição Lake
Public Market
Dunes
Praia dos Ingleses
English`s Beach
Santa Catarina Island
Federal University of Santa Catarina Technological Center
Department of Mechanical Engineering Laboratory of Hydraulic and Pneumatic Systems
Victor J. De Negri
Modeling Renewable Power Systems
Wind and Hydro