doe, value of dg workshop september 30, 2014 washington d.c. · © 2014 electric power research...
TRANSCRIPT
1 © 2014 Electric Power Research Institute, Inc. All rights reserved.
DOE, Value of DG Workshop September 30, 2014 Washington D.C. Karen R. Forsten Director EPRI Power Delivery & Utilization
2 © 2014 Electric Power Research Institute, Inc. All rights reserved.
Integrated Grid Status Phase I Concept Paper & Initiative
Launched 02/2014 Phase II In progress Initial Draft Framework completed
08/2014 Draft being distributed for external
Industry & expert peer review 09/2014
On-line Community launched 08/2014
Publish target timeframe 11/2014
• Phase III Working with members on potential scenarios to be analyzed
3 © 2014 Electric Power Research Institute, Inc. All rights reserved.
The Integrated Grid is about Enabling the Customer
The integrated grid allows Local Energy Optimization to become part of Global Energy Optimization.
4 © 2014 Electric Power Research Institute, Inc. All rights reserved.
Action Plan
Framework for Evaluation of
Grid Modernization Investments
Interconnection Technical
Guidelines
Integrated Grid Planning &
Operations
Ongoing Industry Collaboration and Tech Transfer to Inform Stakeholders including Policy & Regulation
5 © 2014 Electric Power Research Institute, Inc. All rights reserved.
Action Plan
Framework for Evaluation of
Grid Modernization Investments
Interconnection Technical
Guidelines
Integrated Grid Planning &
Operations
Comprehensive, Transparent, Repeatable Methodology
6 © 2014 Electric Power Research Institute, Inc. All rights reserved.
Defining the Scenario - Assumptions
Markets and Policy • Subsidies and Incentives • Utility Obligations • Reliability Requirements • Energy and Capacity Markets • Ancillary Services and Flexibility
Bulk System • Resource Mix and Characteristics • Capacity Resources • Transmission Characteristics and
Plans • Technologies (HVDC, etc) • Costs and limitations for new
build
Distribution System
• Expected Renewable Penetration • Load Growth, Efficiency • Technologies (voltage control,
smart inverters, etc) • Distributed Generation and
Microgrids
Societal Factors • Cost of Carbon • Value of Reliability • Market Structures • Energy Efficiency
7 © 2014 Electric Power Research Institute, Inc. All rights reserved.
Hosting Energy
Capacity
Distribution System
Bulk System
Customer or Owner
Cost/Benefits
Societal Costs/Benefits
Benefit/Cost
1 4
5
3
2
6
Core Assumptions
Resource Adequacy
Flexibility
Operational Practices & Simulation
Transmission Performance
Transmission Expansion
System Net Costs
System Benefits
Reliability
DRAFT Transmission
System Performance
Studies
DER Scenarios
Resource Adequacy
Existing SystemModel(s)
Load Forecasts
Variability Profiles
Existing Generation
Existing Network Model
Resource Epxansion
LOLE/Reserve Margin & Capacity
Credit
New Resources/Expansion
Plan
Thermal / Voltage Impacts
Operational Simulations
Resource Dispatches
Transmission System
Upgrades
Technology options
Transmission Expansion
Losses
Reliability ImpactsReserve &
Operational Changes
LOLE/Reserve Margin & Capacity
Credit
New Reserve & Operational
Modes
Integrated GridBulk System
Analysis Framework
Costs of new resources
Production Costs & Marginal
Costs
Costs of mitigation/upgrades
Cost of Losses
Cost of Base Case
Cost of Scenario
System Flexibility
Assessment
Flexibility Metrics
Line Type LegendData InputFinal ResultFeed-Forward ResultFeed Back Result
Frequency Impacts
Hosting Capacity PV & Demand
Profiles (See Fig. 5.3)
B
Feeder Performance Characterization
Feeder Hosting Capacity Analysis
Feeder Clustering Based on Hosting
Feeder Clustering Based on Energy
Impacts
Capacity Analysis
Energy Analysis on Select Feeders
Losses/Consumption Results Extrapolated
to System
Mitigation Evaluation
Benefit/Cost Analysis
Bulk System Analysis
Feeder Models
Load Data
Hosting Capacity Analysis
Energy Analysis
Capacity Analysis
Asset Deferral
DER Performance CharacterizationDER Data
Optimal Hosting Capacity Location
B
C
D
Reliability Analysis
Reliability Analysis
E
Substation – Level Hosting Capacity for
DER
Feeder-Specific Hosting Capacity for
DER
A
Scenario Definition
Market Conditions
DER Adoption
Integrated Grid: Benefit Cost Framework
8 © 2014 Electric Power Research Institute, Inc. All rights reserved.
Distribution Framework Flowchart
B
Feeder Performance Characterization
Feeder Hosting Capacity Analysis
Feeder Clustering Based on Hosting
Feeder Clustering Based on Energy
Impacts
Capacity Analysis
Energy Analysis on Select Feeders
Losses/Consumption Results Extrapolated
to System
Mitigation Evaluation
Benefit/Cost Analysis
Bulk System Analysis
Feeder Models
Load Data
Hosting Capacity Analysis
Energy Analysis
Capacity Analysis
Asset Deferral
DER Performance CharacterizationDER Data
Optimal Hosting Capacity Location
B
C
D
Reliability Analysis
Reliability Analysis
E
Substation – Level Hosting Capacity for
DER
Feeder-Specific Hosting Capacity for
DER
A
Hosting Analysis
Energy Analysis
Capacity Analysis
Reliability Analysis
9 © 2014 Electric Power Research Institute, Inc. All rights reserved.
Integrated Grid: Distribution Network
• Maintain service quality and reliability
• Impact of DER
• Different distribution network characteristics
• Location matters
Higher Capacity
Lower Capacity
Impact/value assessment must consider unique distribution characteristics
& location of DER
11 © 2014 Electric Power Research Institute, Inc. All rights reserved.
DER Impacts Not Just on Distribution Network
13 © 2014 Electric Power Research Institute, Inc. All rights reserved.
Integrated Grid: Bulk System
Transmission System
Performance Studies
DER Scenarios
Resource Adequacy
Existing SystemModel(s)
Load Forecasts
Variability Profiles
Existing Generation
Existing Network Model
Resource Epxansion
LOLE/Reserve Margin & Capacity
Credit
New Resources/Expansion
Plan
Thermal / Voltage Impacts
Operational Simulations
Resource Dispatches
Transmission System
Upgrades
Technology options
Transmission Expansion
Losses
Reliability ImpactsReserve &
Operational Changes
LOLE/Reserve Margin & Capacity
Credit
New Reserve & Operational
Modes
Integrated GridBulk System
Analysis Framework
Costs of new resources
Production Costs & Marginal
Costs
Costs of mitigation/upgrades
Cost of Losses
Cost of Base Case
Cost of Scenario
System Flexibility
Assessment
Flexibility Metrics
Line Type LegendData InputFinal ResultFeed-Forward ResultFeed Back Result
Frequency Impacts
Hosting Capacity PV & Demand
Profiles (See Fig. 5.3)
1 RESOURCE ADEQUCY
2 FLEXIBILITY
3 IMPACT ON OPERATIONS
4 TRANSMISSION PERFORMANCE
5 TRANSMISSION EXPANSION
14 © 2014 Electric Power Research Institute, Inc. All rights reserved.
Integrated Grid: Tailored Study Path IPP
Transmission System
Performance Studies
DER Scenarios
Resource Adequacy
Existing SystemModel(s)
Load Forecasts
Variability Profiles
Existing Generation
Existing Network Model
Resource Epxansion
LOLE/Reserve Margin & Capacity
Credit
New Resources/Expansion
Plan
Thermal / Voltage Impacts
Operational Simulations
Resource Dispatches
Transmission System
Upgrades
Technology options
Transmission Expansion
Losses
Reliability ImpactsReserve &
Operational Changes
LOLE/Reserve Margin & Capacity
Credit
New Reserve & Operational
Modes
Integrated GridBulk System
Analysis Framework
Costs of new resources
Production Costs & Marginal
Costs
Costs of mitigation/upgrades
Cost of Losses
Cost of Base Case
Cost of Scenario
System Flexibility
Assessment
Flexibility Metrics
Line Type LegendData InputFinal ResultFeed-Forward ResultFeed Back Result
Frequency Impacts
Hosting Capacity PV & Demand
Profiles (See Fig. 5.3)
15 © 2014 Electric Power Research Institute, Inc. All rights reserved.
Integrated Grid: Tailored Study Path TO/TSO
Transmission System
Performance Studies
DER Scenarios
Resource Adequacy
Existing SystemModel(s)
Load Forecasts
Variability Profiles
Existing Generation
Existing Network Model
Resource Epxansion
LOLE/Reserve Margin & Capacity
Credit
New Resources/Expansion
Plan
Thermal / Voltage Impacts
Operational Simulations
Resource Dispatches
Transmission System
Upgrades
Technology options
Transmission Expansion
Losses
Reliability ImpactsReserve &
Operational Changes
LOLE/Reserve Margin & Capacity
Credit
New Reserve & Operational
Modes
Integrated GridBulk System
Analysis Framework
Costs of new resources
Production Costs & Marginal
Costs
Costs of mitigation/upgrades
Cost of Losses
Cost of Base Case
Cost of Scenario
System Flexibility
Assessment
Flexibility Metrics
Line Type LegendData InputFinal ResultFeed-Forward ResultFeed Back Result
Frequency Impacts
Hosting Capacity PV & Demand
Profiles (See Fig. 5.3)
16 © 2014 Electric Power Research Institute, Inc. All rights reserved.
Integrated Grid: Gaps Exist
Transmission System
Performance Studies
DER Scenarios
Resource Adequacy
Existing SystemModel(s)
Load Forecasts
Variability Profiles
Existing Generation
Existing Network Model
Resource Epxansion
LOLE/Reserve Margin & Capacity
Credit
New Resources/Expansion
Plan
Thermal / Voltage Impacts
Operational Simulations
Resource Dispatches
Transmission System
Upgrades
Technology options
Transmission Expansion
Losses
Reliability ImpactsReserve &
Operational Changes
LOLE/Reserve Margin & Capacity
Credit
New Reserve & Operational
Modes
Integrated GridBulk System
Analysis Framework
Costs of new resources
Production Costs & Marginal
Costs
Costs of mitigation/upgrades
Cost of Losses
Cost of Base Case
Cost of Scenario
System Flexibility
Assessment
Flexibility Metrics
Line Type LegendData InputFinal ResultFeed-Forward ResultFeed Back Result
Frequency Impacts
Hosting Capacity PV & Demand
Profiles (See Fig. 5.3)
RESOURCE ADEQUACY – Needs probabilistic assessment of DER’s capacity adequacy contribution
Available: Traditional peak demand type adequacy methods (SERVM, GE MARS, E3 RECAP) In Development: Probabilistic expansion planning models which consider both capacity and
flexibility needs (SERVM, E3 REFLEX, EGEAS)
FLEXIBILITY – Needs tools to assess flexibility requirements
& solutions In Development: metrics,
detailed modeling tools (EPRI InFLEXion, E3 REFLEX, SERVM)
GAP: integrated capacity& flexibility expansion planning
OPERATIONAL SIMULATION Needs integration and interaction with DER controls and accurate simulation
of power system operations including impact of uncertainty, reserve provision, variability representation, etc.
Available & improving: production simulation tools (Plexos, SERVM, Polaris System Optimizer, ProMax LT, NREL
FESTIV, ABB GridView, Ventyx PROMOD IV, GE MAPS, UPLAN, Aurora, PowerSym)
GAP: tools /procedures to simulate bulk system and DER interaction
TRANSMISSION PERFORMANCE – Needs bulk system aggregated DER power flow and dynamic models for transmission system performance studies
and probabilistic tools to evaluate transmission system reliability with DER Available: Generic models to approximately capture how DER (wind/solar) reacts
to grid disturbances and load models with some adjustments to account for distribution network. (PSS/E, PSLF, Powerworld, etc)
In Development: transmission reliability tools, tools to consider variability in transmission planning (TransCARE); load models with integrated DER
representation GAP: tools to interact with DER for bulk system voltage & frequency control
DRAFT
DATA – Needs common and
extensive data sets
In Development:
Common data transfer protocols
between bulk system and DER/DSO
New load models and modeling techniques
Forecasting of the location of potential
DER
GAP:
Common data sets for both TSO and DSO
analysis
17 © 2014 Electric Power Research Institute, Inc. All rights reserved.
Critical Research Areas to Close Gaps Architecture for the Integrated Grid Integrating the Customer
Advanced Asset Management Integrated Planning and Operations
• Information & Communication Infrastructure
• Enterprise Interoperability
• Distributed Controls • Open Application
Platforms • Cyber Security
• Energy Efficiency • Voltage Response • Demand Response • Local Generation &
Storage (EV) • Resiliency • Customer Services • CIS
• Sensors & Communications
• Advanced Analytics • Maintenance &
Diagnostics • Reliability & Resiliency • Visualization & Decision
Support
• Integrated Models • Advanced Simulation • Real Time Systems • Distributed Controls &
Demand Response • Risk-Based • Forecasting &
Analytics • Visualization
18 © 2014 Electric Power Research Institute, Inc. All rights reserved.
Next Step: Assess the Technologies & Apply the Framework in Pilot Applications
1. Advanced Voltage Control
2. PEV Infrastructure
3. Distributed Storage
4. Large Scale PV
5. Large Scale PV with Storage
6. Customer Technologies
7. Microgrids
Pilots will help in refining the framework &
help guide future research
THANK YOU
Together…Shaping the Future of Electricity
http://integratedgrid.epri.com/
For Additional Information on Phase II Contact Karen Forsten at [email protected]
865-218-8052