Integrating Southwest Power Pool Wind to Southeast Electricity ...

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able to carry some of the reserve that the TVA CCs carry in Scenario #2 and the CCs stay offline longer as the lower capacity factors indicate. In Scenarios # 4, the number of TVA starts increase as these units begin to provide some reserve to SBA due to the relative economics with the hurdle rates removed. In Scenarios #3 and # 4 starts increase for some units and decrease for others. Figure 6-10: Individual CC starts for TVA Figure 6-11 shows a scatter plot of number of starts for each SBA CC unit for the various scenarios against the number of starts for Scenario #1. SBA CC units are started slightly few times in Scenario #2 when SBA has to carry its own reserves for wind. The starts decrease further in Scenario #3 as cheaper resources from other regions (as modeled here) can provide reserve, but the decrease isn’t as significant as for TVA due to the higher hurdle rates. When the hurdle rates are removed in Scenario #4, other regions’ units are used more for SBA reserve requirements and energy and the SBA CC units are pushed offline for longer periods of time. Again, it can be seen that individual units behave differently from each other, likely due to different characteristics and consequent usage by the model. In general, units with higher starts in Scenario 1 appear to reduce in starts, while those with numbers of starts in Scenario 1 increase in starts. Adding wind to the system can also be seen to produce no clear pattern in terms of numbers of starts. B-2
Figure 6-11: Individual CC starts for SBA Figure 6-12 shows a scatter plot of number of starts for each SPP CC units for the various scenarios against the number of starts for Scenario #1. Relative to Scenario 1 where CCs are left online to provide for the increased reserve needs, other scenarios increase starts. Scenario 4 in general shows the greatest increase, but again there is quite a spread. Figure 6-12: Individual CC starts for SPP B-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
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Wind Delivery (MW) 12000 10000 8000
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1. Regulation is required to cover
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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 84 and 85: in the 22% to 50% in Scenario 2. Th
Page 86 and 87: Figure 6-8: individual coal capacit
Page 90: Export Control Restrictions Access
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