HomeMy WebLinkAboutNJUS ESS Modeling For Wind-Diesel, Rev2, Saft America - Feb 19, 2019TTG-AE-SR 2019021857
Nome Joint Utility Services
ESS Modeling for Wind-Diesel System
Date: February 19, 2019
Project #: 20180703JMcD Rev 2
By: Jax Application Engineering
ESS Business Unit, TTG
This document contains information that is proprietary to Saft America Inc. The recipient may disclose this document only to third
parties who are directly assisting with this RFP, solely for the purpose of obtaining their assistance during the selection process and
during contract negotiations. Any other disclosure shall require the prior written consent of Saft America Inc.
TTG Application Engineering February 18, 2019
TTG-AE-SR 2019021857
This document contains information that is proprietary to Saft America Inc.
Page 2 of 23
Change History
REV Date Change Description By
- Initial JMcD
1 20180907 Modified diesel dispatch parameters JMcD
2 20190220 Incorporated dispatchable heater; added load-level control concept JMcD
Contents
Change History ........................................................................................................................................................................................... 2
Contents ..................................................................................................................................................................................................... 2
Background ................................................................................................................................................................................................ 3
Available wind production ......................................................................................................................................................................... 3
Historical curtailment ................................................................................................................................................................................ 3
Dispatchable water heater......................................................................................................................................................................... 5
Load levels ................................................................................................................................................................................................. 5
Model parameters ..................................................................................................................................................................................... 5
Methodology.............................................................................................................................................................................................. 6
Simulation results ...................................................................................................................................................................................... 7
Annex 1: Simulation graphs ....................................................................................................................................................................... 8
TTG Application Engineering February 18, 2019
TTG-AE-SR 2019021857
This document contains information that is proprietary to Saft America Inc.
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Background
The purpose of this analysis is to assess potential savings in wind curtailment from use of an energy storage system (ESS) to work in
concert with existing diesel plant for NJUS. The diesels operated by NJUS are as follows:
Unit Description Year
Installed
Rating /
Size Min Load **kWh/gal Remarks
12 Cat#3616 1991 3,660 2,200 15.9 Old Plant - infrequently
used
14 Cat#3516B-LS 1999 1,875 1,200 14 Old Plant - infrequently
used
15 Wartsila#12V32B 2005 5,211 2,800 15.6 primary generator
16 Wartsila#12V32B 2005 5,211 2,800 15.7 primary generator
18a Cat#3456B
(blackstart) 2005 400 240 < 15
have used in concert
with others at peak
times.
** The kWh/gal info was gleaned from operation load logs and represents a day of use or part of a day of use (12/14).
Information provided by NJUS for startup times is as follows:
#12 if not run for a while needs to be blown down first, which takes about ten minutes, then ten minutes warm up before going on
line, then another fifteen minutes to get up to operating temp before going to ISOCH and leading the parade. [Note – for the
purpose of this analysis, it is assumed that #12 will be operated quite frequently, avoiding the need for blow down.]
#14 has no blow down feature so it warms up for six and a half minutes before going on line. It should get ten minutes at 500 kw to
get the temps up before loading it up. #14 would be capable of running in ISOCH if there were enough wind and battery power to
leave 1300 kw for it to carry so it has room to follow the load.
#15 and #16 need five minutes to make sure all pumps are running and has sufficient start air. Then five minutes running at fifty
percent load to warm up before shutting the other engine off.
A minimum run time of 4 hours is used for both the Wartsila and CAT #12 units. This necessitates supplementation of #12 with #18a
during periods of falling wind output or rising load. The minimum run time for #18a has been set at 1 hour.
Available wind production
Monthly 10-second data for 2016 was provided by NJUS for wind speed and output for each of their two EWT DW 52 900 kW wind
turbines, plus total load. The output figures are after curtailment, so the available production was calculated from the wind speed
using the DW 52 output curve. To accurately reflect turbine outages and to avoid ‘negative curtailment,’ if the actual turbine output
was less than or equal to zero (turbine offline) or was higher than the calculated output (due to some data scattering), the actual
output was used in place of the calculated figure.
The normal operation for NJUS is to run with one of the Wartsila units and to curtail wind output to keep the diesel operating at the
minimum level of 2.8 MW. The simulations described below use one of the smaller CAT units along with an ESS to provide spinning
reserve/ridethrough power for wind fluctuations.
Historical curtailment
For each month the actual output was compared to the calculated output to establish the level of curtailment. The following table
provides the total curtailment by month:
TTG Application Engineering February 18, 2019
TTG-AE-SR 2019021857
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Month Curtailment
(MWh) Comments
Jan 131.7 EWT1 offline for most of month
EWT2 curtailed for significant period
Feb 53.4 Significant offline periods for both EWTs
Mar 17.7 EWT1 offline for full month
Apr 59.5 EWT1 offline for full month
May 77.5 EWT1 offline for full month
Jun 60.9 EWT1 offline for full month
Jul 43.7 EWT1 offline for full month
Aug 75.6 EWT1 offline for half the month
Sep 196.8
Oct 380.8
Nov 138.0 Offline periods for both EWTs
Dec 93.9 Offline periods for both EWTs
The September data was used to validate the Saft models, since this was a month with both turbines fully operational. The Saft
diesel-only model was run using one of the Wartsila units with the calculated wind power and no ESS, and recorded approximately
540,000 liters of fuel consumed and 205 MWh of curtailment. This curtailment is consistent with the 197 MWh figure using actual
wind output.
Having validated the diesel-only curtailment model, it was decided to recalculate the available wind output for both turbines for the
entire year. The new values are based on wind speed only and are not modified according to actual output.
The original Saft model for this analysis was based on a single diesel being used for an entire month: either CAT #12 (augmented by
CAT #18a as needed), or one of the Wartsila units (#15 or #16). Because of the low level of available fuel savings in the winter
months, the diesel dispatch was made more dynamic, as a function of the smoothed load. Load smoothing was carried out by
calculating the difference between the current load and the smoothed value, applying a smoothing factor to that difference, and
adding the result to the smoothed value. The chart below illustrates this principle, based on a smoothing factor of 3% for each 10-
second load change. The same smoothing factor was applied to the wind output.
TTG Application Engineering February 18, 2019
TTG-AE-SR 2019021857
This document contains information that is proprietary to Saft America Inc.
Page 5 of 23
The dispatch rules are as follows:
•If CAT #12 is running and the smoothed value of load minus wind exceeds 4000 kW, switch to Wartsila
•If a Wartsila unit is running and the smoothed value of load minus wind drops below 3700 kW, switch to CAT #12
Dispatchable water heater
With input from NJUS the model was modified to add a multi-stage dispatchable water heater. After review of wind curtailment
history NJUS chose a heater with 8 elements of 100 kW. This has been implemented in the model with a dwell time of 2 minutes.
The number of elements, power of each element and dwell time are all variable that can be the subject of a sensitivity analysis.
Load levels
The dispatch strategy for the modeling follows a concept of load levels. The four levels used are described in the following table:
The water heater is dispatched as a function of battery SOC:
Model parameters
Simulations were run with a single Saft Intensium Max +20M (G2). All simulations are based on an aged battery at 80% of rated
energy. Standard model parameters were as follows:
% parameters for Matlab/Simulink model
SAFT_mod_dTime=0.5; % in s simulation step time
p_cell=2*17*1;
s_cell=7*28;
initSOC=50; % en %
initSOCabs=initSOC;
init_cell_Temp=22; % in °C
ext_temp=22;
InitAgeC=0.8;
InitAgeR=2;
Wind
Diesel
running
Freq
control
by
Electric
heater Step up when Step down when Comments
Not
enough
#15 or
#16
Diesel No N/A Load* < 3800kW Delay step-down and run heater if necessary to reach min run
time
Not
enough
#12 Diesel No Load* > 4100kW
or SOC < 30%
ESS chg > 800kW
or SOC > 70%
ESS discharged via AGC as needed to keep diesel at 3660kW
ESS charged via AGC as needed to keep diesel at 2200kW
Supplement with #18 as needed to reach min run time
Excess #12 ESS According
to SOC
Boiler off and
SOC < 60%
Boiler at max and
SOC > 90%
#12 output fixed at 2200kW
See separate table for heater vs. SOC settings
Large
excess
#12 ESS Max
output
SOC < 86%N/A #12 output fixed at 2200kW
Wind curtailed to maintain SOC at 90%
Heater
power (kW)
Step up
at SOC
Step down
at SOC
0 67% 61%
100 70% 64%
200 73% 67%
300 76% 70%
400 79% 73%
500 82% 76%
600 85% 79%
700 88% 82%
800 91% 85%
TTG Application Engineering February 18, 2019
TTG-AE-SR 2019021857
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h=2;
t_ch1=5;
t_ch2=20;
t_dch1=5;
t_dch2=20;
Mode=1; %Norm=1 HR=0
AM_active=0;
Methodology
Two models were used for this analysis:
•A diesel-only model, representing the existing operational setup. A Wartsila unit is used throughout, with wind
being curtailed whenever the net load was less than the 2.8 MW minimum operating level for the diesel. Fuel
consumption and curtailment are quantified.
•The revised model incorporating dynamic diesel and water heater dispatch as described above, incorporating an
ESS with the Intensium Max +20M battery container and a power conversion system with flexible output
constrained only by the maximum charge capability of the battery system. If #12 CAT is running, the ESS
discharges when the net load rises above the CAT #12 maximum and the #18a unit is started when the battery
state of charge (SOC) falls to a threshold level. The diesel manages the wind intermittency.
TTG Application Engineering February 18, 2019
TTG-AE-SR 2019021857
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Simulation results
The following table shows the simulation results by month:
Full graphical output from these simulations is shown in Annex 1. The following charts show a four-day snapshot of output from
September. The left-hand chart shows diesel-only operation, while the right-hand charts show the impact of running CAT #12 in
conjunction with the ESS. The ‘Net Wind’ plot show the level of curtailment in the different scenarios.
Fuel
(L)
Curtailment
(MWh)
Fuel
(L)
Fuel
savings (L)
Heater energy
(MWh)
Curtailment
(MWh)
Max disch
(kW)
Max chg
(kW)
Batt aging
(%/yr)
January 586,098 151 566,072 20,026 33.3 3.3 1,758 725 0.39%
February 569,068 79 557,430 11,638 12.2 2.1 1,076 924 0.36%
March 624,628 54 615,482 9,146 4.9 1.6 968 669 0.33%
April 547,503 134 529,245 18,258 32.3 3.6 1,475 885 0.39%
May 530,823 177 505,617 25,206 44.2 7.2 756 995 0.38%
June 525,130 131 499,692 25,438 21.0 2.1 992 1,232 0.40%
July 558,497 73 541,468 17,029 6.7 0.8 836 981 0.34%
August 542,939 98 525,525 17,414 17.9 3.4 763 1,075 0.35%
September 537,161 223 504,601 32,560 44.2 9.6 1,114 908 0.40%
October 533,469 421 480,580 52,889 126.7 23.6 1,114 1,038 0.48%
November 586,050 122 568,719 17,331 24.6 2.4 850 814 0.59%
December 628,096 121 609,615 18,481 19.0 1.8 1,895 590 0.33%
Totals 1,784 265,416 387.0 62
No ESS
Month
With ESS
1.5 1.55 1.6 1.65 1.7 1.75 1.8
Time(s)10 6
0
1000
2000
3000
4000
Power (kW)Load
Diesel
Net Wind
Wind
1.5 1.55 1.6 1.65 1.7 1.75 1.8
Time(s)10 6
0
1000
2000
3000
4000
Power (kW)Load
Diesel
D 18a
Net Wind
Wind
1.5 1.55 1.6 1.65 1.7 1.75 1.8
Time(s)10 6
-600
-400
-200
0
200
400
ESS power (kW)
TTG Application Engineering February 18, 2019
TTG-AE-SR 2019021857
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Page 8 of 23
Annex 1: Simulation graphs
The following charts show the diesel-only simulation for each month.
January:
February:
March:
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
0
1000
2000
3000
4000
5000
Power (kW)Load
Diesel
Net Wind
Wind
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
0
1000
2000
3000
4000
5000
Power (kW)Load
Diesel
Net Wind
Wind
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
0
1000
2000
3000
4000
5000
Power (kW)Load
Diesel
Net Wind
Wind
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April:
May:
June:
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
0
1000
2000
3000
4000
5000
Power (kW)Load
Diesel
Net Wind
Wind
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
0
1000
2000
3000
4000
5000
Power (kW)Load
Diesel
Net Wind
Wind
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
0
1000
2000
3000
4000
5000
Power (kW)Load
Diesel
Net Wind
Wind
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July:
August:
September:
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
0
1000
2000
3000
4000
5000
Power (kW)Load
Diesel
Net Wind
Wind
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
0
1000
2000
3000
4000
5000
Power (kW)Load
Diesel
Net Wind
Wind
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
0
1000
2000
3000
4000
5000
Power (kW)Load
Diesel
Net Wind
Wind
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October:
November:
December:
The charts on the following pages show the results of the addition of the ESS and heaters.
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
0
1000
2000
3000
4000
5000
Power (kW)Load
Diesel
Net Wind
Wind
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
0
1000
2000
3000
4000
5000
Power (kW)Load
Diesel
Net Wind
Wind
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
0
2000
4000
6000
Power (kW)Load
Diesel
Net Wind
Wind
TTG-AE-SR 2019021857
January
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
0
5000
Power (kW)Load
Diesel
Net Wind
Wind
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
0
5000
Power (kW)D15
D12
D18
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
-1000
0
1000
2000
Power (kW)ESS
Heater
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
0
50
100
Battery SOC (%)
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February
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
0
5000
Power (kW)Load
Diesel
Net Wind
Wind
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
0
5000
Power (kW)D15
D12
D18
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
-1000
0
1000
Power (kW)ESS
Heater
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
0
50
100
Battery SOC (%)
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March
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
0
5000
Power (kW)Load
Diesel
Net Wind
Wind
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
0
5000
Power (kW)D15
D12
D18
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
-1000
0
1000
Power (kW)ESS
Heater
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
0
50
100
Battery SOC (%)
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April
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
0
5000
Power (kW)Load
Diesel
Net Wind
Wind
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
0
5000
Power (kW)D15
D12
D18
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
-1000
0
1000
2000
Power (kW)ESS
Heater
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
0
50
100
Battery SOC (%)
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May
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
0
5000
Power (kW)Load
Diesel
Net Wind
Wind
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
0
5000
Power (kW)D15
D12
D18
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
-1000
0
1000
Power (kW)ESS
Heater
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
0
50
100
Battery SOC (%)
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June
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
0
5000
Power (kW)Load
Diesel
Net Wind
Wind
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
0
5000
Power (kW)D15
D12
D18
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
-1000
0
1000
Power (kW)ESS
Heater
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
0
50
100
Battery SOC (%)
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July
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
0
5000
Power (kW)Load
Diesel
Net Wind
Wind
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
0
5000
Power (kW)D15
D12
D18
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
-1000
0
1000
Power (kW)ESS
Heater
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
0
50
100
Battery SOC (%)
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August
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
0
5000
Power (kW)Load
Diesel
Net Wind
Wind
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
0
5000
Power (kW)D15
D12
D18
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
-1000
0
1000
Power (kW)ESS
Heater
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
0
50
100
Battery SOC (%)
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September
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
0
5000
Power (kW)Load
Diesel
Net Wind
Wind
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
0
5000
Power (kW)D15
D12
D18
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
-1000
0
1000
Power (kW)ESS
Heater
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
0
50
100
Battery SOC (%)
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October
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
0
5000
Power (kW)Load
Diesel
Net Wind
Wind
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
0
5000
Power (kW)D15
D12
D18
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
-1000
0
1000
Power (kW)ESS
Heater
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
0
50
100
Battery SOC (%)
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November
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
0
5000
Power (kW)Load
Diesel
Net Wind
Wind
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
0
5000
Power (kW)D15
D12
D18
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
-1000
0
1000
Power (kW)ESS
Heater
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
0
50
100
Battery SOC (%)
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December
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
0
5000
Power (kW)Load
Diesel
Net Wind
Wind
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
0
5000
Power (kW)D15
D12
D18
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
-1000
0
1000
2000
Power (kW)ESS
Heater
0 0.5 1 1.5 2 2.5 3
Time(s)10 6
0
50
100
Battery SOC (%)