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Integrating Southwest Power Pool Wind to Southeast Electricity ...

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participants the possibility of a related, but separately funded project <strong>to</strong> develop a<br />

reasonable transmission network for 2022 that would provide for high wind transfers.<br />

Funding and man-power resources for the partner study were not available.<br />

2. Unconstrain the transmission in the 2022 Non-RES model by removing the thermal rating<br />

limits and associated losses. While a complete “copper sheet” type analysis is quite<br />

simplistic and unrealistic, it does approximate a scenario where sufficient transmission<br />

would be built <strong>to</strong> deliver wind energy from SPP <strong>to</strong> SERC if 48 GW of wind capacity<br />

were developed in SPP. This approach has some obvious implications for the results of<br />

the SCUC/SCED simulations that must be considered when interpreting the results.<br />

Additional analysis was performed <strong>to</strong> better understand the implications of the<br />

“unconstrained” assumption.<br />

As described in detail in the Task 1 Report, UPLAN is the SCUC/SCED simulation platform<br />

used for this study. UPLAN has three different internal algorithms for integrating power flow<br />

within its Unit Commitment and Economic Dispatch: AC-OPF; DC-OPF; and Transportation. In<br />

AC, a non-linear problem is developed <strong>to</strong> describe the energy flow through each element of the<br />

system which considers Kirchoff’s laws, voltage and losses directly within the formulation. DC<br />

is a linear approximation of the AC power flow which, in the case of UPLAN, can consider<br />

losses but not voltage. The transportation method does not model the losses, the voltage, or<br />

Kirchoff’s laws. It does, however, consider all the physical connections as though they were<br />

pipelines. <strong>Power</strong> can flow anywhere without exceeding specified line capacity, in much the<br />

same that way water or gas pipelines are constrained. The transportation model also does<br />

consider hurdle rates or wheeling charges.<br />

For the “Constrained” 7 GW and 14 GW scenarios discussed in the Task 1 Report and thus far in<br />

this report, the DC model was utilized. As noted above, in order <strong>to</strong> ascertain the impact of<br />

utilizing the UPLAN Transportation mode for the High <strong>Wind</strong> Transfer cases, a quantitative<br />

analysis was conducted for the following 14 GW scenarios <strong>to</strong> isolate the impact of removing<br />

losses and removing thermal constraints:<br />

1. 14 GW constrained w/losses (14 GW) – 14 GW scenario solved with DC OPF<br />

representing both losses and thermal constraints (scenario already described and<br />

summarized in previous section).<br />

2. 14 GW constrained no losses (14 GW-NL) – 14 GW scenario solved with DC OPF<br />

respecting thermal constraints as in #1, but with the losses not calculated.<br />

3. 14 GW unconstrained no losses (14 GW-UC) – 14 GW scenario solved in Transportation<br />

mode ignoring both thermal constraints and losses.<br />

Figure 2-1 shows a comparison of the aggregate average net flow out of each of the SPP and<br />

large eastern SERC regions for these three 14 GW cases. Comparison of the 14 GW (red) and<br />

14 GW-NL (purple) data in the bar chart shows that removing losses alone has a small impact on<br />

the generation flows between regions suggesting that losses do not play a primary role in<br />

restricting economic transfers across the region. Comparison of the 14 GW-NL (purple) and 14<br />

GW-UC (green) data in the bar chart, however, shows that removing thermal constraints<br />

significantly changes the flows between regions. This is expected given that removing<br />

transmission constraints allows generation <strong>to</strong> flow between areas based on the relative economics<br />

2-3

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