Integrating Southwest Power Pool Wind to Southeast Electricity ...

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Figure 6-2: Individual coal capacity factors in Entergy A similar figure is shown for individual coal units in Entergy in Figure 6-2. Here, very little difference is observed in the high wind cases, especially at higher capacity factors. Some of the lower capacity factor units can be seen to be used far less when wind is added, indicating they may not be built; this would thus change the relative economics and the interchanges between regions. However, there would still be benefit from coordination of reserves, but the areas obtaining that benefit may change – Entergy, which does not change significantly here, may change with a different assumed plant mix. As it is not clear how exactly different capacity factors change the likelihood of the coal being built- they are also used more for reserve in the high wind cases, which would increase their revenue- it is assumed here that plant mix does not change. SBA Individual Unit Capacity Factors Figure 6-3 shows a significant spread in individual SBA CC generating unit capacity factors for the different scenarios. There is the overall trend in scenarios as observed in earlier results with a decrease in generation in Scenarios 3 and 4. However, it can be seen that this will affect some units more than others. This is due to the relative economics of different generation, depending on age, size, and technical constraints such as minimum stable generation. A-2
Figure 6-3: Individual CC capacity factor in SBA Figure 6-4 shows the individual capacity factors for SBA coal units. These can be seen to be a lot tighter than CC units, with more uniform reduction for scenario 4. Figure 6-4: Individual Coal capacity factor for SBA TVA Individual Unit Capacity Factors Figure 6-5 shows the individual capacity factors for CC units in TVA. All are in the 15-35% range for scenario 1. This decreases to 10% to 28% (read along y-axis) in Scenario 3, while it is A-3
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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
Page 32 and 33: 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 84 and 85: in the 22% to 50% in Scenario 2. Th
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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