(E-to-W) 90% 794 131 74 23 89 424 99% P26 Southern CA 75% 854 1707 306 923 1744 (N-to-S) 90% 353 742 114 332 842 99% 195 457 58 177 501 P31 TOT 2A 75% 11 26 5 712 1320 (N-to-S) 90% 0 15 1 296 838 99% 0 13 1 155 583 P45 SDG&E-CFE 75% 321 297 258 707 1780 204 185 121 477 1506 (N-to-S) 90% 99% 144 134 84 381 1349 P48 Northern NM 75% 1246 1985 947 184 237 (NW-to-SE) 90% 164 357 71 4 20 99% 7 24 1 0 0 P52 Silver Pk-Control 75% 2984 4126 4121 3010 2932 (W-to-E) 90% 1948 2828 2764 2038 2055 99% 0 0 0 0 0 P60 Inyo-Control 75% 6103 6003 6789 3359 3248 (E-to-W) 90% 4019 3754 4798 2181 1501 99% 2725 40 3342 1624 803 P83 Montana Alberta Tie 75% 1058 3681 739 1794 4245 (N-to-S) 90% 361 2531 277 934 3285 99% 156 1945 142 572 2722 Bookends Several bookend cases were run to test the impact of extreme values for some of the study cases’ more significant input variables. These cases represented extreme high and low values that might be expected for loads, hydro generation availability, gas prices and carbon prices, factors that have a significant effect on study results. Many of the impacts are predictable with the expected impacts shown in Table 4. Table : Expected Impacts of Bookend Cases Expected Impacts relative to Common Case Heaviest Variable Proportion of Path Production CO2 Renewable Case Utilization Cost Emissions Dump Energy Energy
(E-to-W) 90% 99% 131 74 23 89 794 424 P26 CA 75% (N-to-S) 90% 99% 854 353 195 1707 742 457 306 114 58 923 332 177 1744 842 501 P31 TOT 2A 75% (N-to-S) 90% 99% 11 0 0 26 15 13 5 1 1 712 296 155 1320 838 583 P45 SDG&E-CFE 75% (N-to-S) 90% 99% 321 204 144 297 185 134 258 121 84 707 477 381 1780 1506 1349 P48 Northern NM 75% (NW-to-SE) 90% 99% 1246 164 7 1985 357 24 947 71 1 184 4 0 237 20 0 P52 Silver Pk-Control 75% (W-to-E) 90% 99% 2984 1948 0 4126 2828 0 4121 2764 0 3010 2038 0 2932 2055 0 P60 Inyo-Control 75% (E-to-W) 90% 99% 6103 4019 2725 6003 3754 40 6789 4798 3342 3359 2181 1624 3248 1501 803 P83 Montana Alberta Tie 75% (N-to-S) 90% 99% 1058 361 156 3681 2531 1945 739 277 142 1794 934 572 4245 3285 2722 Bookends Several bookend cases were run to test the impact of extreme values for some of the study cases’ more significant input variables. These cases represented extreme high and low values that might be expected for loads, hydro generation availability, gas prices and carbon prices, factors that have a significant effect on study results. Many of the impacts are predictable with the expected impacts shown in Table 4. Table : Expected Impacts of Bookend Cases Case Expected Impacts relative to Common Case Heaviest Path Utilization Variable Production Cost CO2 Emissions Dump Energy Proportion of Renewable Energy Southern
2015-Integrated-Transmission-and-Reliability-Assessment-Final.docx