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Eastern Wind Integration and Transmission Study by EnerNex Corporation Mathias Westerholm 18.11.2016
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Contents Introduction Focus area Wind scenarios
Transmission requirements Operational impacts and reserve requirements Carbon sensitivity All in all, a lot of graphs and results
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Introduction Study began in 2007 Revised in 2011
Load data from Wind profiles from Studies the Eastern Interconnection in 2024 The study team began by modelling winf resources in a large part of the Eastern Interconnection and finished by conducting a detailed wind integration study and top-down transmission analysis.
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Scope of the study
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Study methodology 1) Wind plant output data development
2) Transmission requirement analysis 3) Wind integration analysis EWITS project consisted of three major tasks Use wind data and load data together, to capture correlations Handful of future snapshots as it could be in 2024 Economic considerations, also considered reliability
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Focus area Current transmission expansion planning is based on a decision-making process that starts with the present and looks forward through time. The existing bulk power grid in the United States is the result of such a bottom-up approach. These top down methods tend to create designs with more transmission than bottom-up methods. The primary reason is that the total economic potential of increasing the economic efficiency of the generation fleet—including wind generation in the Eastern Interconnection—is used to justify transmission expansion
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Wind profile
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Scenarios for 2024 4 scenarious of projected electricity requirements in 2024 3 with 20% penetration 1 with 30% penetration Based on the Eastern Wind Data Study 2004, 2005, 2006 High spatial (2-kilometer) and temporal (hourly and 10-minute) resoultion To reach 20% target, tenfold increase of todays wind power generation MW 30% target, MW
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The four scenarios
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Wind capacity Scenario 1
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Wind capacity Scenario 4
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Current situation Around 5%
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Wind modelling Numerical methods were used, also known as mesoscale models, Numerical simulations together with observational data sets create an four-dimensional gridded wind speed data set Hundreds of wind plants used
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Transmission requirement
Locate wind generation across the interconnection, determine needed additional nonwind capacity to ensure reliability in 2024 No new transmission was considered at this stage (constrained case) Identify energy sources and sinks Assumption capacity value of 20% Gives a rough estimate of a budget for transmission immprovement
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Case no new transmission and Scenario 2 wind installations
Electricity price Case no new transmission and Scenario 2 wind installations
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New transmission needed
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New transmission for Scenario 1
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Costs of new transmission
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Conclusions about transmission
800-kV HVDC and EHV AC lines are preferred because of the volumes of energy that need to be transported and the long distances Significant wind generation can be included
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Operational impacts Production-cost model
Hourly power system operational simulations with the alternatives and the load data from The model takes the wind generation at each injection bus (closest transmission connection to the wind plant) and dispatches accordingly nonwind generation
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Reserve requirements Operating reserves increased
Contingency reserves not affected Spinning reseves increased Need for regulation dramatically increased
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Spinning reserves
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Regulating reserve
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Reserve conclusions The fastest changes in balancing area demand—on time scales from a few to tens of seconds—are dominated by load, even with very large amounts of wind generation. Regulating reserve requirements are driven by errors in short-term (e.g., 10 to 20 minutes ahead) wind generation forecasts
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Production cost modeling
Because of its low dispatch price, wind generation will decrease local marginal prices Addition of transmission equalizes the local marginal prices Offshore wind has more effect on price in eastern load centers because of its proximity to large load centers, otherwise served by generation with high costs
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Production cost of electricity
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Wind integration costs
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Annualized total costs
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Carbon sensitivity What happens if a price of carbon emissions is set at $100/MWh?
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Effect on new generation
CC = combined cycle; CT = combustion turbine; DR = demand response; IGCC = integrated gas combined cycle; IGCC/Seq = integrated gas combined cycle with sequestration; CC/Seq = combined cycle with sequestration; RET Coal = coal plant retirements; Replacement CC = replacement combined cycle Figure13. Generation expansion by scenario, including the carbon sensitivity case Fossil fuel decrease, nuclear up expansion, CC generation increase for managing variability
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Effect on price Comparison of generation-weighted LMP by region for Scenario 2 and carbon sensitivity case
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Carbon emissions from different scenarios
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Present value of accumulated costs
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Uncertainties Smart grid implications and demand responsiveness
Charging of PHEVs Optimization with high amounts of wind Fuel sensitivity Energy storage
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