Transcript PLEXOS for Power Systems®

Generation, Transmission & Nat Gas Network
Co-Optimizations
Transparent, Repeatable, Defendable, and Published
www.energyexemplar.com
Market Simulation & Analysis
•
Proven power and natural gas market simulation tool
•
Uses mathematical programming, optimisation and
stochastic techniques (MIP, LP, SO)
•
Robust analytical framework:
•
•
Security Constrained Unit Commitment and Economic Dispatch
•
Stochastic Renewable Energy Models
•
Interregional Planning
•
Monte Carlo Simulation Risk and Reliability Analysis
•
Portfolio Optimization and Fuel Cost Minimization
•
Users can enable different co-optimizations for different cases
Power system model scalable to thousands of generators
and transmission lines and nodes, or zonal or regional
representations such as pipe and bubble
Integrated Gas and Electric Model
PLEXOS Integrated Tools
•
Production Cost w/ Co-Optimization of Ancillary Services
– Detailed nodal production cost or zonal (pipe and bubble) production cost with user settable time intervals from sub hourly, to
hourly, daily, weekly, monthly, annual
– Co-Optimization of Sub-Hourly Ancillary Services with Energy Market and Transmission Power Flows
– Co-Optimization of Production Costs (nodal or zonal) Electricity Market and Natural Gas Network
•
Mid Term Co-Optimization
– Annual or monthly constraints such as emissions or hydro decomposed to short term optimization of Production Cost
•
Long Term Planning Co-Optimization of Generation and Transmission Expansion as well Natural Gas Network Expansion
– Chronological or Duration curve (nodal or zonal) Co-Optimization of Generation and Transmission and User can enable cooptimization of natural gas network expansion with transmission and generation expansion or fix generation and transmission
expansion and elect to optimize the natural gas network to accommodate the generation transmission expansion scenarios.
– The model optimizes using Mixed Integer Linear Programming (MILP) in which the transmission expansion and generation
retirements are modelled as “integer” decisions to ensure full commissioning of transmission upgrades and full decommissioning
of generating units in one particular year. Generation expansion is modelled using continuous variables, allowing partial power
plants to be built in a particular year.
•
Reliability Evaluation
– Convolution Method to calculate LOLE and LOLP and true Monte Carlo Simulation to consider transmission network and
renewable generation uncertainty
3
Generation Characteristics
Electrical Network Data
Natural Gas Network Data
Demand and Energy Shapes
Fuel Prices
Hurdle and Wheeling Rates
Constraints
Others
Integrated Planning
Database
In
PLEXOS
Generator Costs
Transmission Line Costs
Pipeline Costs
Gas Storage Costs
Energy Efficiency Cost Curve
Demand Shapes
Others
Annual Environmental
Constraints
Energy Constraints
Mid Term Optimizations
Others
Production
Cost
Mid Term
Optimization
Single Database
Facilitates
Multiple Types of
Studies
Capacity
Expansion
Planning
Reliability
Evaluation
FOR Transmission
FOR Generation
FOR Gas Pipeline
Renewable Variability
and Uncertainties
Demand Uncertainty
Others
4
PLEXOS Public Policy Applications
Planning Objectives
PLEXOS Capability
Renewables Integration and System
Flexibility Requirement Assessments
• Sub-Hourly Co-Optimization of Ancillary Services with Energy Market and
Transmission Power Flows
• Stochastic Optimization and Stochastic Renewables Models
• PHEV, EE, DR, SG, Energy Storage Models
Least Cost Resource Change within and
Across Regions
• Co-Optimization of Generation and Transmission Expansion
• Generation Retirements and Environmental Retrofit Models
• Reliability Evaluation
Minimizing production costs and
consumer costs to electricity and
natural gas rate payers
• Co-Optimization of Production cost of Electrical and Natural Gas Sectors
• Electrical Network Contingencies and Natural Gas Network Contingencies
Sizing Natural Gas Network
Components and Natural Gas Storage
• Co-Optimization of Natural Gas Network Expansion along with Electricity Sector
Expansion
• Electrical Network Contingencies and Natural Gas Network Contingencies
Environmental Policies
• Co-Optimization of Annual and Mid-Term constraints with short term optimizations
• Energy Storage and
Integrated Reliability Evaluation
• Integrated Reliability Evaluation to Ensure LOLE and other Metrics Maintained with
5
Co-Optimization of Electric and Gas Sector Expansion or True Monte Carlo
Transparent, Repeatable, Defendable, and Published
–
–
–
–
Transparent:
• The LP formation is open to the PLEXOS user and software and datasets developed to ISO 9001:2008 Quality
Control system and software commercial
Repeatable:
• Developed Cases and Study Processes Can Be Transferred to Other PLEXOS Users
Defendable:
• PLEXOS licensed in United States, Australia, Europe, Asia-Pacific, Russia, and Africa
» PLEXOS Installation Sites: 136
» Countries PLEXOS Installed: 33
» PLEXOS Licenses: 769
» PLEXOS Users: 716
• Licensed by National Labs, ISO’s, Utilities, Generators, Regulators
Published:
• http://energyexemplar.com/publications/
• http://energyexemplar.com/publications/research-publications/
Example PLEXOS Licensed Users
MISO, CALISO, IESO, NBSO, AEP, SCE, PG&E, AEMO, RWE, OFGEM, National Grid UK, CEC, NREL, SANDIA, PNNL, LLNL
6