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Integrating Southwest Power Pool Wind to Southeast Electricity ...

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INDIVIDUAL GENERATING UNIT START-UPS<br />

Figure 6-9 shows a scatter plot of number of starts for each Entergy CC unit for the various<br />

scenarios against the number of starts for Scenario #1. It can be seen that, in general, CC starts<br />

increase in Entergy when wind is added as more cheap, but variable, energy is available from the<br />

wind without any requirement <strong>to</strong> maintain reserve for the wind. As the level of cooperation in<br />

reserve sharing and scheduling/balancing increase from Scenarios 2-4, however, the number of<br />

CC starts increase. In Scenario #2 there are fewer starts than in Scenario #1 as some of the CCs<br />

have <strong>to</strong> be held online <strong>to</strong> provide some portion of the additional reserves <strong>to</strong> cover Entergy’s<br />

portion of the wind. The number of CC starts progressively increases in Scenario #3 and<br />

Scenario #4, where Entergy CCs are used extensively <strong>to</strong> provide reserve, but the amount of spin<br />

reserve decreases significantly because of the shared contingency requirement across the<br />

footprint.<br />

Figure 6-9<br />

Individual Startups for CCs in Entergy<br />

Figure 6-10 shows a scatter plot of number of starts for each TVA CC unit for the various<br />

scenarios against the number of starts for Scenario #1. TVA can be seen <strong>to</strong> have a reduced<br />

number of starts for all CCs in all scenarios compared <strong>to</strong> Scenario 1 in general; however as with<br />

other results, there are certain units which do not follow this pattern, as their characteristics<br />

assumed in this model mean they are used differently. Scenario 2 can be seen <strong>to</strong> reduce the<br />

number of starts the most as CCs are kept online <strong>to</strong> provide the increased reserves that TVA<br />

must supply for the wind in this scenario. The number of starts decrease further in Scenario #3<br />

as scheduling is shared across the footprint and less expensive resources (as modeled here) are<br />

B-1

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