Distributed Energy Generation
-
Upload
anant-joshi -
Category
Documents
-
view
213 -
download
0
Transcript of Distributed Energy Generation
-
8/22/2019 Distributed Energy Generation
1/8
5/30/2009
Facing the Challenges ofDistributed Energy Generation
Courtesy NASA.
Image fromWkmedia Commons,http://commons.wikimedia.org
Please see any diagram of theelectric grid, such ashttp://commons.wikimedia.org/wiki/F ile:E lectricity_grid_schema-_lang-en.jpg
Image fromWikimedia Commons,http://commons.wikimedia.org
Courtesyflickr userChandra Marsono.
What needs to be done to
support the introduction of
100% solar power
(130 GW of distributed PV)
in New England by the
end of 2013?
The QuestionThe Question
Photo credit: ISO New England, 2007 State ofthe Market Report
Courtesy Federal EnergyRegulatory Commission.
-
8/22/2019 Distributed Energy Generation
2/8
5/30/2009
BackgroundGrid ConstraintsPotential Solutions ImplementationsConclusions
AgendaAgenda
Photo credit: Sun Farm Network via Evergreen Solar
Image removed due to copyright restrictions.Pleasehttp://www.sunfarmnetwork.com/images/Home_2.jpg
Generation Power plant generates
electrons
Transmission Voltage is stepped up and
transmitted along high-voltage power lines
Distribution
Voltage is stepped down bytransformers and distributedto retail customers
New England Power26 GW Peak Power39B kWh annually$0.1668 perkWh
BackgroundBackground
Photo credit: Energy InformationAgency, US Department of Energy
-
8/22/2019 Distributed Energy Generation
3/8
5/30/2009
Problem Scale Severity Certainty % Adoption Overall
No power source when PV is off 30
Bi-directional current flow 35
Utilities cant allocate capital correctly 60
Cannot model insolation to predict PV energy production 50
Time constantfor managing dispatchable resources is toocurrently too long 40
Transmission and distribution coststructure (w/ high PVpenetration) is currently unmodeled 60
PV produces DC power (not the commonly used AC) 1
Limited transmission capacity of power lines in some areas 80
Power quality 45
No detailed sensing of the state of the grid latent
Physical resets of fail safes (i.e. circuit breakers) latentUtilities cannot strategically and precisely direct power toindividual users latent
ConstraintsConstraints
System ArchitectureSystem Architecture
Centralized Distributed
Generation PointsConsumption Points
-
8/22/2019 Distributed Energy Generation
4/8
5/30/2009
Priority Constraints Priority Constraints
Constraint Scale Severity Probability % Adoption OverallImportance
Non-Dispatchability:
Need for storage, intermittent generation
Grid Stabil i ty: Bi-d irectional current flow, communicat ions andcontrol
Utility Transition: Unknown PV supply, T&D cost structure, powerquality
Smart GridSensorsSoftware
Storage:BatteriesPumped hydroelectric
Bi-directional transformers
Technological SolutionsTechnological Solutions
Photo credit: Energy InformationAgency, US Department of Energy
-
8/22/2019 Distributed Energy Generation
5/8
5/30/2009
Modeling AssumptionsModeling Assumptions
6.5 million households and businesses
~39B kWh consumed annually in New England
26 GWp average draw
$280/kWh average cost of battery storage
5 days of storage required to avoid problemsfrom intermittency
Average system price of $5.38/Wp installed
100%: Distributed power production and storage
1%: Current state10%: Government forces utilities to cease capital expenditures and adopt
new revenue streams (e.g. installation)30%: Power provided by solar during the day, traditional at night65%: Some substation networks move off grid
Total predicted cost: $850 billion
Architecture I: Cut the WiresArchitecture I: Cut the Wires
-
8/22/2019 Distributed Energy Generation
6/8
5/30/2009
100% : Isolated Micro-Networks with communal storage
15%: Smart Grid sensors are installed;T&D retain traditional business, with alternate price structure
30%: Electrical hardware is updated at substation level50%: Micro-Networks established, still rely on centralized generation;
Generation companies manage the remaining emergency powerplants, and look to new sources of revenue.
Architecture II: MicroArchitecture II: Micro--NetworksNetworks
Total predicted cost: $700 billion
100% : General network with neighborhood and centralized storage
15%: Smart Grid sensors are installed;T&D retain traditional business, with alternate price structure
30%: Electrical hardware is updated at substation level50%: Micro-Networks established, still rely on centralized generation;
Generation companies manage the remaining emergency power
plants, and look to new sources of revenue.
Architecture III: General NetworkArchitecture III: General Network
Total predicted cost: $625 billion
-
8/22/2019 Distributed Energy Generation
7/8
5/30/2009
Implementation ChallengesImplementation ChallengesProblem
No power source when PV is off
Scale Severity Certainty % Adoption
30
Overall
Bi-directional current flow 35
Negative networkeffects
Utilities cant allocate capital correctly
Cannot model insolation to predict PV energy production
60
50
Warm beerTime constantfor managing dispatchable resources is toocurrently too long 40
Regulatory approvalTransmission and distribution coststructure (w/ high PVpenetration) is currently unmodeled 60 Physical installationPV produces DC power (not the commonly used AC) 1
Limited transmission capacity of power lines in some areas 80
Power quality
No detailed sensing of the state of the grid
45
latent
Physical resets of fail safes (i.e. circuit breakers)Utilities cannot strategically and precisely direct power toindividual users
latent
latent
Issues: non-dispatchability, grid stability,power quality
Common technological solutions: storage,transformers, smart grids
Network is preferred architecture Utilities will fundamentally change their
business models
Government can help: financial incentives
RecommendationsRecommendations
-
8/22/2019 Distributed Energy Generation
8/8
5/30/2009
Questions?Questions?
2.626 Fundamentals of2.626 Fundamentals ofPhotPho ovoltaov icsict olta s
Prof.Prof. TonioTonio BuonassisiBuonassisi, Fall 20, Fall 082008
Special thanks to MikeSpecial thanks to Mike RogolRogol , Mark, Mark FarburgFarburg, and P, an hoth ono CoC nsultins ngn .d P ot n o ulti g.