Integrating Southwest Power Pool Wind to Southeast Electricity ...

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in the 22% to 50% in Scenario 2. This shows a very wide variety of capacity factors. It should be noted that in all but scenario 3 all units are above 10% - 15%, which is in the range of minimum expected capacity factors for a CC today. Figure 6-6 shows the coal capacity factors; these are again very tight in the high wind cases. Figure 6-5 Individual CC capacity factor for TVA Figure 6-6: Individual Coal Capacity Factors for TVA A-4
SPP Individual Unit Capacity Factors Individual SPP CC generating unit capacity factors are shown in Figure 6-7. This shows a significant decrease in capacity factors across most units for scenarios 2 and 3 vs. scenario 1 and the low wind case. It can also be seen that some units are affected more than others – particularly those units with 35% or greater capacity factors in Scenario 1 – these can be significantly reduced. Figure 6-8 shows the individual SPP coal unit capacity factors. As before, these do not show as wide a range as CC units. However, lower (likely less efficient) capacity factor units from scenario 1 can be seen to show some variability in their capacity factor across scenarios. It can be seen here that coal is going to be most affected in SPP by the balancing strategy, whereas CCs are affected elsewhere in the SERC regions. This is based on the modeling assumptions in terms of fuel price and plant mix in different regions. Figure 6-7: Individual CC capacity factors for SPP A-5
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DOE: Integrating Southwest Power Po
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DISCLAIMER OF WARRANTIES AND LIMITA
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EXECUTIVE SUMMARY This DOE-funded p
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Summary of average regulation requi
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generation in the 2022 Non-RES case
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System and Cost Impacts of High Win
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Figure 6-6: Individual Coal Capacit
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1 INTRODUCTION AND BACKGROUND Proje
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2 REPRESENTATION OF TRANSMISSION NE
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participants the possibility of a r
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assumption is affecting specific di
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Table 3-1 Wind energy targets for e
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site selection could have congregat
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Wind Production (MW) Wind Productio
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Wind Delivery (MW) 12000 10000 8000
Page 34 and 35: 1. Regulation is required to cover
Page 36 and 37: The polynomial shown in Equation 3
Page 38 and 39: Regulation (MW) Figure 3-12 Summary
Page 41 and 42: 4 HIGH WIND TRANSFER SCENARIO DECRI
Page 43 and 44: 5 HIGH WIND TRANSFER CASE RESULTS T
Page 45 and 46: decreasing smaller amounts. It is i
Page 47 and 48: Coal 3.6 3.6 3.6 3.6 3.6 GasOil 0.7
Page 49 and 50: Figure 5-3 Average hourly generatio
Page 51 and 52: Figure 5-6: Average hourly generati
Page 53 and 54: SBA. More details on these types of
Page 55 and 56: Figure 5-8: Total production costs
Page 57 and 58: The flow chart shown in Figure 5-9
Page 59 and 60: Table 5-10 shows the difference in
Page 61 and 62: more likely to be turned off during
Page 63 and 64: Figure 5-13: Average Regulation up
Page 65 and 66: Figure 5-16: Average Spinning reser
Page 67 and 68: Figure 5-18: SBA Capacity Factors b
Page 69 and 70: Figure 5-20: Capacity Factors for S
Page 71 and 72: Unit Startups Changing the balancin
Page 73 and 74: Gas Price Sensitivity Case Results
Page 75 and 76: 6 CONCLUSIONS AND RECOMMENDED NEXT
Page 77 and 78: generation characteristics across r
Page 79: overstates the ability of the syste
Page 82 and 83: Figure 6-2: Individual coal capacit
Page 86 and 87: Figure 6-8: individual coal capacit
Page 88 and 89: able to carry some of the reserve t
Page 90: Export Control Restrictions Access
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