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Integrating Southwest Power Pool Wind to Southeast Electricity ...

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The study team determined that any scenario where wind from SPP was moved in<strong>to</strong> the SERC<br />

study region would most likely have the wind plants serving each region distributed across the<br />

footprint. This served <strong>to</strong> maximize the aggregation benefits for each region. The effects of<br />

aggregation are discussed in the next section.<br />

A prior study performed for SPP selected which plants would be used <strong>to</strong> meet the 20% energy<br />

target for SPP. These same plants were utilized for SPP in this study. To assign plants <strong>to</strong><br />

Entergy, Southern Company and TVA, random selections were made from the list of plants until<br />

each region’s energy target was met. The plants were assigned <strong>to</strong> their respective regions and<br />

that assignment was carried through in<strong>to</strong> the production cost modeling. Figure 3-2 shows the<br />

results of that process. The aggregate statistics from wind production from these plants is<br />

presented in the <strong>Wind</strong> Characteristics section.<br />

Figure 3-2<br />

Assignment of wind plants <strong>to</strong> regions<br />

Effect of Aggregation of <strong>Wind</strong> Plants<br />

As the number of plants and particularly the geographic diversity of those plants increases, the<br />

variability of the output of the aggregated plants decreases. As noted, the wind plants selected<br />

<strong>to</strong> comprise the wind generation for each of the regions in the study were selected <strong>to</strong> provide<br />

geographic diversity. This has several consequences. Given the set of wind plants and the<br />

geographic area covered, this minimizes the variability seen for each of the regions. A different<br />

3-3

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