Transcript Poster Template - Missouri S&T

Dr. Ganesh K. Venayagamoorthy, Dept of Electrical & Computer Engineering
Dr. Keith A. Corzine, Dept. of Electrical & Computer Engineering
Prajwal K. Gautam, Dept. of Electrical and Computer Engineering
Sensing Circuit
A
CT
PT
Vabc
Iabc
abc
qd
Firing Pulses to 6 IGBT Gates
3 Phase
Inverter
Multiple
Reference Frame
Transformation
• Inverter control maintains positive sequence voltage at a fixed level in
q axis and all other components controlled at zero.
• Positive and negative sequence currents are supplied by energy
storage system to compensate single phase wind.
Battery
Bank
Vref*
4- PI
Controller
Vqd
Icmd*
Triangular Wave
Energy Storage Instantaneous
Current
i (θ )  i (θ )  i (θ )  iw(θda,
e ) db, dc
Vcmd* qd
4- PI
abc
Controller
ae e
al e
as e
Iqd
Comparator
V )  i (θ )
i
(θ
)

i
(θ
)

i
(θ
be e Circuit
bl e
bs e
w e
Controls
ref*
Voltage in Volts
140
Vqsen
100
Vqsep
60
Instantaneous
Power
Instantaneous
Current
&
Power
Equations
for
Energy
Storage
Energy Storage Instantaneous Current
pl(θe )  val(θe ).ial(θe )  vbl(θe ).ibl(θe )  vcl(θe ).icl(θe )
ps(θe )  val(θe ).ias(θe )  vbl(θe ).ibs(θe )  vcl(θe ).ics(θe )
pw(θe )  (val(θe )  vbl(θe )).iw(θe )
pe(θe )  pl(θe )  ps(θe )  pw(θe )
ice(θe )  icl(θe )  ics(θe )
(2.4 kW)
is
iw
(1.6 kW)
is
MICRO GRID
il
ie
System
States
Critic Error Signal E(t)
Battery
Bank
Critical
Load
Energy Storage System
Controllable
Load
Loads
Approach
Energy storage system has been designed utilizing a
multiple reference frame control to compensate for the
single-phase generation by injecting unbalanced currents
into the micro-grid. Simulation of the micro grid system is
carried out Real Time Digital Simulator (RTDS/RSCAD).
Action
Network
(MVO)
J(t)
Control
Signals
δJ(t)/δA(t)
Critic Network
(FFNN with BP)
+
γ
Σ + U(t)
-
J(t-1)
Block diagram for a ACD based energy dispatch controller
Control Signals
System States
Predicted PV Power
Predicted Wind Power
Predicted SOC
Actual SOC
Critical Load
Non Critical Load
Power Dispatch to Critical Load
Action
Network
(MVO)
0
-5
ESS
ESS+Solar
ESS+Solar+Wind
-20
ESS+Solar
ESS
ESS+Solar+Wind
-20
-25
0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
-30
5
0
0.5
1
1.5
2
2.5
3
Time in Seconds
3.5
4
4.5
5
Time in Seconds
Positive sequence q axix voltage maintained at all times Positive & negative sequence currents supplied by ESS
Power flow when ESS, Solar and Wind are active
Power flow when ESS and Solar are active
6
6
5.5
5
4
3.5
3
2.5
2
Pload
Psolar
Pwind
Pess
Qload
Qess
5.5
5
4.5
4
Pload
Psolar
Pwind
Pbatt
Qload
Qess
3.5
3
2.5
2
1.5
1.5
1
1
0.5
0.5
0
0
Active & reactive power flow with solar, wind, ESS and 5.6 kW load with micro-grid system (pf= 0.8)
System
States
Power
Inverter
Acknowledgements:
Instantaneous
Power Dynamic Programming approach, the intelligent
Using
Adaptive
pl(θe )  vdispatch
vbl(θe ).ibl(θe )ensures
 vcl(θe ).icl(θe )
energy
al(θe ).ial(θe ) controller

power
to
critical
loads
all
the
time
ps(θSupply
)

v
(θ
)
.
i
(θ
)

v
(θ
)
.
i
(θ
)

v
(θ
)
.
i
(θ
)
e
al e as e
bl e bs e
cl e cs e
 Sustain SOC of battery at required level based on predicted
pw(θe )  (val(θe )  vbl(θe )).iw(θe )
power
pe(θIfe )above
 pl(θe ) conditions
ps(θe )  pw(θeare
) satisfied, maximize power supply to

non-critical loads
Micro
Grid
System
5
-10
20
Power in Kilo Watts
Power Generation
1ø Wind Turbine 3ø Solar Panel
10
0
ibe(θe )  ibl(θe )  ibs(θe )  iw(θe )
Iqsep
-15
Control
forEnergy
Energy Storage
Storage System
ControlSchematics
Method for
System
iae(θe )  ial(θe )  ias(θe )  iw(θe )
Iqsen
15
80
40
ice(θe )  icl(θe )  ics(θe )
Idsep
20
Vdsep
120
4.5
(1.6 kW)
Vdsen
Energy Storage
• Integration of hybrid three-phase solar and singlephase wind turbine supply power to a three-phase grid
independent micro-grid system resulting into an
unbalanced set of currents.
• A battery inverter system is used as power conditioning
system to compensate single-phase generation.
• Traditional priority based load management controller
is highly inefficient as energy is dispatched to entire
critical and non critical loads without assigning priority to
loads based on available power.
• ACD based energy dispatch controller prioritize
between critical loads, state of charge of battery and
non critical load such that energy dispatch is maximized.
Idsen
25
160
Background
3ø Solar Panel
30
180
Power in Kilo Watts
• Extensive modeling of energy storage system (ESS),
three-phase photovoltaic system and single-phase wind
generation.
• Design ESS to compensate single phase wind
generation.
• Develop adaptive critic design (ACD) based intelligent
load management in a micro-grid.
Results
Micro Grid
Current in Amps
Project Objectives
Power Dispatch to Battery
Power Dispatch to Non Critical Load
Reduction of Power Generation
Conclusion
• Energy storage system with negative sequence current control has
been presented for regulation of the micro grid voltage and
compensation of the various source types.
• Simulation results demonstrate effectiveness of control when solar
and wind sources are connected to the grid and during steady-state.
Future Works
• Implement intelligent load management controller in the micro grid.
•Tune PI gains of power converters on extensive models using
intelligent methods.
• Step ahead prediction of solar & wind generation, critical and noncritical load and battery SOC.
Intelligent Systems Centre, Missouri University of Science and Technology
National Science Foundation under the grant Neuroscience and Neutral Networks for Engineering the Future Intelligent Power Grid, NSF/EFRI COPN #083617
Department of Education under the grant Advanced Computational Techniques and Real-Time Simulation Studies for the Next Generation Energy System, GAANN #P200A070504