Integrating Southwest Power Pool Wind to Southeast Electricity ...

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Figure 6-8: individual coal capacity factors for SPP A-6
B INDIVIDUAL GENERATING UNIT START-UPS Figure 6-9 shows a scatter plot of number of starts for each Entergy CC unit for the various scenarios against the number of starts for Scenario #1. It can be seen that, in general, CC starts increase in Entergy when wind is added as more cheap, but variable, energy is available from the wind without any requirement to maintain reserve for the wind. As the level of cooperation in reserve sharing and scheduling/balancing increase from Scenarios 2-4, however, the number of CC starts increase. In Scenario #2 there are fewer starts than in Scenario #1 as some of the CCs have to be held online to provide some portion of the additional reserves to cover Entergy’s portion of the wind. The number of CC starts progressively increases in Scenario #3 and Scenario #4, where Entergy CCs are used extensively to provide reserve, but the amount of spin reserve decreases significantly because of the shared contingency requirement across the footprint. Figure 6-9 Individual Startups for CCs in Entergy Figure 6-10 shows a scatter plot of number of starts for each TVA CC unit for the various scenarios against the number of starts for Scenario #1. TVA can be seen to have a reduced number of starts for all CCs in all scenarios compared to Scenario 1 in general; however as with other results, there are certain units which do not follow this pattern, as their characteristics assumed in this model mean they are used differently. Scenario 2 can be seen to reduce the number of starts the most as CCs are kept online to provide the increased reserves that TVA must supply for the wind in this scenario. The number of starts decrease further in Scenario #3 as scheduling is shared across the footprint and less expensive resources (as modeled here) are B-1
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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
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 84 and 85: in the 22% to 50% in Scenario 2. Th
Page 88 and 89: able to carry some of the reserve t
Page 90: Export Control Restrictions Access
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