DTE Energy DER Technology AdoptionDEW Analysis of ... - EERE
DTE Energy DER Technology AdoptionDEW Analysis of ... - EERE
DTE Energy DER Technology AdoptionDEW Analysis of ... - EERE
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Utility/Lab Workshop on PV <strong>Technology</strong> and Systems<br />
November 8-9, 2010<br />
Tempe, Arizona<br />
<strong>DTE</strong> <strong>Energy</strong> <strong>DER</strong> <strong>Technology</strong> Adoption<br />
DEW <strong>Analysis</strong> <strong>of</strong> Renewable, PEV & Storage<br />
Hawk Asgeirsson, P.E.<br />
asgeirssonh@dteenergy.com<br />
This presentation does not contain any proprietary, confidential, or otherwise restricted information.
Agenda<br />
• <strong>DTE</strong> <strong>Energy</strong> background<br />
• What do we have done to date<br />
– Mobile DG adoption<br />
– Plug-in Electric Vehicle (PEV) adoption<br />
– Solar & wind adoption<br />
– Storage adoption<br />
• What is in the works<br />
– All <strong>of</strong> the above blended together<br />
– Steady State (Planning)<br />
• Short and long term forecasting (solar & wind)<br />
– Dynamic (Operation & Planning)<br />
– Modeling and Coordinated Control
<strong>DTE</strong> <strong>Energy</strong> –<br />
Electric & Gas Regulated Businesses<br />
Detroit Edison (Electric)<br />
• Tenth largest US electric utility<br />
• 7,600 square mile service territory<br />
• 2.2 million customers<br />
• 2.63 million meters<br />
• $4.9 billion in revenue<br />
• $13 billion in assets<br />
• Generating capacity: 11,080 MW<br />
• Annual Sales: 50,000 GWH<br />
Michcon (Gas)<br />
• Eleventh largest US natural gas utility<br />
with 1.3 million customers<br />
• 1.35 million meters<br />
• 14,700 square mile service territory<br />
throughout Michigan<br />
• 679 bcf <strong>of</strong> gas sales<br />
• Significant gas storage capacity benefits<br />
customers (11% <strong>of</strong> total Midwest and<br />
Northeast capacity)<br />
• $1.8 billion in revenue<br />
• $3.3 billion in assets
<strong>DTE</strong> <strong>Energy</strong> – Non-utility Businesses<br />
• Coal Related Services<br />
– <strong>DTE</strong> Coal services<br />
– <strong>DTE</strong> Rail Services<br />
• Gas Storage & Pipeline<br />
– <strong>DTE</strong> Pipeline<br />
– <strong>DTE</strong> Gas Storage<br />
• Power/Industrial Projects<br />
– <strong>DTE</strong> Biomass <strong>Energy</strong><br />
– <strong>DTE</strong> Methane Resources<br />
– <strong>DTE</strong> <strong>Energy</strong> Services<br />
– <strong>DTE</strong> Pet Coke<br />
• Unconventional Gas<br />
Production<br />
– <strong>DTE</strong> Gas Resources<br />
• <strong>DTE</strong> <strong>Energy</strong> Trading<br />
• <strong>DTE</strong> <strong>Energy</strong> Ventures Woodland Biomass
Distributed<br />
Generation<br />
at <strong>DTE</strong> <strong>Energy</strong><br />
<strong>Technology</strong> Testing<br />
Substation Applications<br />
Temporary &<br />
Maintenance<br />
Distribution<br />
Solutions<br />
Circuit Applications<br />
Emergency &<br />
Temporary<br />
Premium<br />
Power<br />
Customer Partnership<br />
Virtual Power Plant<br />
Applications<br />
Southfield Solar &<br />
Future H Power Park<br />
Adair ENI1000 1MW NG<br />
Emergency ENR2000<br />
2MW Diesel<br />
ZBB Flow Battery<br />
Union Lk ENR2000 2MW Diesel<br />
Grosse Ile High School<br />
ENI1000 1MW NG<br />
Substation Battery<br />
Replacement Project<br />
Substation Islanding<br />
ENR2000 2MW Diesel<br />
Assumption Church<br />
ENI1000 1MW NG<br />
Wayne State Univ ENI 75 Dialysis Center ENI 150 Service Center ENI 150 & 75
Automatic Load Following<br />
Circuit Emergency Rating<br />
Circuit Normal Rating<br />
Generator<br />
Output<br />
Distribution<br />
Circuit Load
<strong>DER</strong> <strong>Technology</strong> adoption<br />
• DG Applications<br />
• Plug-in Electric Vehicle (PEV)<br />
• Solar<br />
• Solar & Storage<br />
• Wind<br />
• Wind & Storage<br />
• Storage<br />
• All <strong>of</strong> the above in various combinations
Distributed <strong>Energy</strong> Resource (<strong>DER</strong>)<br />
Adoption <strong>Analysis</strong><br />
• Monte Carlo simulation is used to randomly place <strong>DER</strong><br />
generation units at locations throughout a distribution<br />
circuit<br />
• The PEV simulation provides customer arrival home and<br />
plug-in time models<br />
• <strong>Technology</strong> adoption is modeled as a function <strong>of</strong><br />
customer billing class<br />
• Solar Output is added to the model via interface to NREL<br />
PV Watts<br />
• Wind Output is added as an average
Secondary Customer Representation
Residential Customer Class Load Pr<strong>of</strong>ile<br />
<strong>DTE</strong> Load Research Stats (16 Customers)
PEV Assumptions<br />
• The PEVs are only charged at residential homes<br />
• The battery is fully discharged when PEV charging<br />
occurs once a day. (This assumption provides the worse<br />
case scenario)<br />
• There are two likely voltages at residential locations,<br />
120V and 240V
PEV Charge Pr<strong>of</strong>iles
Distribution <strong>of</strong> Arrival Times at Home<br />
from Work (SE Michigan Census Data)
PEV Impact on the Electric Distribution System<br />
Worst Case Scenario, Heavily Load Circuit – Level 2, 3.3 kW<br />
# <strong>of</strong> Predicted Disturbances<br />
45<br />
40<br />
35<br />
30<br />
25<br />
20<br />
15<br />
10<br />
5<br />
0<br />
PEV Impacts on the Distribution System<br />
On-Peak vs. Off-Peak Charging<br />
5% 10% 15% 20% 25% 30%<br />
PEV Adoption Rate (%)<br />
*There are a total <strong>of</strong>125 distribution transformers on the distribution circuit<br />
Trf. Overloads (On)<br />
Trf. Overloads (Off)<br />
Low Voltage (On)<br />
Low Voltage (Off)<br />
• Red – Percent overloaded transformers with uncontrolled charging<br />
• Green – Percent overloaded transformer with controlled charging<br />
starting at midnight<br />
• Blue – Low voltage uncontrolled<br />
Studying PEV Charging<br />
on a 4.8 kV Distribution Circuit
Uncontrolled PEV Charging<br />
• Circuits in early adopter areas<br />
• Number <strong>of</strong> circuits studied = 93<br />
• 4.8 kV circuit have more<br />
overloaded transformers than<br />
13.2 kV circuits<br />
• 4.8 kV circuits are dominated<br />
by 25 kVA transformers<br />
25%<br />
20%<br />
15%<br />
10%<br />
5%<br />
0%<br />
Overloaded Transformers<br />
4.34%<br />
1.46%<br />
0.73% 1.48% 2.16%<br />
2.91% 3.55%<br />
2.92%<br />
9.59%<br />
8.20%<br />
6.29%<br />
4.66%<br />
5% 10% 15% 20% 25% 30%<br />
PEV Adoption Rate<br />
Level 1 Level 2<br />
% <strong>of</strong> Total DXfmrs<br />
14%<br />
12%<br />
10%<br />
8%<br />
6%<br />
4%<br />
2%<br />
0%<br />
Level 2 – 3.3 kW<br />
Uncontrolled Charging:<br />
4.8 kV vs. 13.2 kV<br />
5% 10% 15% 20% 25% 30%<br />
PEV Adoption Rate<br />
4.8kV Overloads 4.8kV L. Voltages<br />
13.2kV Overloads 13.2kV L. Voltages
DEW Solar Generation<br />
• National Renewable <strong>Energy</strong> Lab PV Watts data<br />
• For each solar generation location, the NREL interface<br />
provides hourly generation data for 8760 hours<br />
• Years worth <strong>of</strong> hourly generation can be automatically<br />
placed on the customer metering point for:<br />
– historical minimum<br />
– average hourly<br />
– maximum hourly or<br />
– actual hourly for the pervious year<br />
• This enables integration <strong>of</strong> solar and load at:<br />
– customer meters<br />
– aggregation at the distribution transformer<br />
– aggregation at the circuit level
DEW’s Solar Model<br />
Downloads Solar Generation from NREL
DEW’s Solar Model<br />
Measurements Added to the Load Bus
Solar <strong>DER</strong><br />
Customer Class Solar Plot
Wind Generation<br />
• Wind speed data is U.S Local Climatological Data from the National<br />
Climatic Data Center (NCDC)<br />
• The wind power produced is calculated by the wind turbine power<br />
equation<br />
1<br />
P = ⋅ρ⋅Av ⋅ ⋅c<br />
2<br />
3<br />
wind p
Wind <strong>DER</strong><br />
Customer Class Wind Plot
DEW’s <strong>DER</strong> Adoption<br />
Ann Arbor Area Circuit<br />
3.5 MVA Looped (4-3 phase loops) 4.8kV Delta<br />
125 Dist Trf with 1500 Customer or 12 cust/trf<br />
30 Small commercial customers<br />
Drag & Drop <strong>DER</strong>
DEW’s <strong>DER</strong> Adoption <strong>Analysis</strong>
DEW’s <strong>DER</strong> Adoption <strong>Analysis</strong><br />
<strong>Analysis</strong> Setup<br />
10year study ending in:<br />
10% PEV, 30% Solar, 30% Wind
Dew’s <strong>DER</strong> Adoption <strong>Analysis</strong><br />
Study Criteria<br />
Stop on Primary Overload<br />
and/or OL on 5% <strong>of</strong> Dist Trt
<strong>DER</strong> Adoption <strong>Analysis</strong> Scenarios<br />
PHEV<br />
Solar Gen.<br />
Storage<br />
(Solar)<br />
Wind Gen.<br />
Storage<br />
(Wind)<br />
Base × × × × ×<br />
Case 1 10 % × × × ×<br />
Case 2 10 % 30 % × × ×<br />
Case 3 10 % × 30 % × ×<br />
Case 4 10 % × × 30 % ×<br />
Case 5 10 % × × × 30 %<br />
Case 6 10 % 10 % × 10 % ×
DEW <strong>DER</strong> Adoption Feeder <strong>Analysis</strong><br />
Results Base Case
DEW <strong>DER</strong> Adoption <strong>Analysis</strong> Results
DEW <strong>DER</strong> Adoption <strong>Analysis</strong> Results
DOE FOA-36 Community <strong>Energy</strong> Storage<br />
(CES)<br />
(Distributed Resource<br />
System Operation Center)
CES Modes <strong>of</strong> Operation<br />
Smart Grid Infrastructure Enabling Multi-mode Operation<br />
Demonstration Items:<br />
1. Frequency Regulation: (DR-SOC dispatch, Retransmit AGC from MISO)<br />
2.a VAR Support : (Local control, PF management)<br />
2.b Voltage support: (Local control, Meet utility v-schedule)<br />
3.a PV output shifting: (Local control, Time <strong>of</strong> day)<br />
3.b PV output leveling: (Local control ,Ramp management)<br />
4. Demand response<br />
4.a Grid support: (DR-SOC dispatch, ‘N-1’)<br />
4.b Distribution circuit peak shaving: (DR-SOC dispatch or schedule)<br />
4.c Customer peak shaving: (Local control, demand charge mgmt)<br />
5. Islanding: Control scheme development for intentional islanding
Modeling and Power Flow <strong>Analysis</strong><br />
DEW Circuit Model<br />
Google Earth overlay<br />
HAGER DC 9420<br />
Google maps transformer<br />
locations
Preliminary CES Features<br />
• 25 kW, 2-hour run-time, single-phase, pad-mounted<br />
• Battery life targeted for at least 1000 full-power discharges<br />
• Aggregated at <strong>DTE</strong>’s DR SOC<br />
• Peak shaving programmable or dispatched<br />
• Contactor to separate customers from utility source in the event <strong>of</strong> a<br />
disturbance<br />
– Improves SAIDI<br />
– Seamless return to normal utility source<br />
• Local voltage regulation by controlling inverter VARs<br />
– Flatten feeder voltage to reduce losses<br />
• No maintenance – “set it and forget it”<br />
– No fans, no air filters<br />
• Below-ground battery vault<br />
– Smaller exposed system footprint for easier siting<br />
– Cool & near constant temperature for passive cooling<br />
33
Community <strong>Energy</strong> Storage Concept<br />
• Leverage the independent work done by S&C<br />
• Split packaging solution<br />
– Bi-directional inverter with communications and control to Utility (<strong>DTE</strong> DR SOC)<br />
– Battery system with communications and control to inverter system<br />
• Above ground inverter / Below ground battery system<br />
Inverter<br />
System<br />
(Above grade)<br />
Fiberglass<br />
Box Pad<br />
(Below grade)<br />
Battery System<br />
34
DEW Future Work: PV and PV/Storage<br />
• Determine modeling and simulation tools needed for high<br />
penetration scenarios<br />
• Model advanced PV system operations<br />
– voltage/VAr control<br />
– intentional islanding<br />
– fault contributions<br />
– ride-through capability<br />
• Model distribution system impacts<br />
– voltage regulation<br />
– unintentional islanding<br />
– protection and coordination<br />
– effects <strong>of</strong> clouds<br />
• Develop Model-Based Coordinated Control Algorithms<br />
– Efficiency both sides <strong>of</strong> the meter<br />
– Demand Management both side<br />
– Economic operations using DEW Revenue <strong>Analysis</strong> (uses Rates)<br />
– Feeder Performance using DEW Feeder Performance (uses LMP)<br />
• Develop CES Algorithm for operations (simultaneous control<br />
operation including standby)<br />
• Short and long term solar/wind forecasting (local & wide area)
2011 IEEE Power & <strong>Energy</strong> Society Meeting<br />
http://www.pes-gm.org/2011/