Topic:"Distribution Planning" in M12663

Study Lessons Several lessons were identified as part of the ITCS and Canadian Analysis. These include the following: - Increasing need to conduct wide-area energy assessment and scenario development - Increasing need to fully incorporate...

AI summary The study highlights the need for improved data availability, wide-area energy assessments, and consistent metrics in system planning evaluations. It also emphasizes the importance of incorporating weather impacts and developing common datasets for future assessments.

Study Scope The transfer capability analysis studied forecasted 2024 Summer and 2024/25 Winter conditions. [26](#page-64-4) This analysis produced a set of transfer capability limits between neighboring TPRs. More information is provided i...

AI summary The study analyzed transfer capability limits between TPRs under 2024 Summer and 2024/25 Winter conditions, using energy margin analysis to identify TPRs with energy deficiencies. The analysis focused on identifying potential transfer capability additions to mitigate these deficiencies, while excluding probabilistic resource adequacy analysis and local resource additions.

Special Interface Considerations Several interfaces have known operating procedures or other special circumstances. In many cases, these are remedial action schemes and/or flow control devices (e.g., phase angle regulators (PAR) or dc line...

AI summary The document discusses special interface considerations in power systems, including the use of flow control devices like phase angle regulators (PAR) and dc lines, and how they affect transfer capability calculations. It outlines procedures for modeling these interfaces and coordinating with regional entities during transfer analysis.

Transfer Capability Results Results are presented from west to east as follows: [British Columbia](#page-76-0) <-> Washington [British Columbia <-> Alberta](#page-76-1) [Alberta <-> Wasatch Front](#page-77-0) [Alberta <-> Saskatchewan](#pa...

AI summary The document presents transfer capability results across various regions in Canada, including British Columbia, Alberta, Saskatchewan, Manitoba, Ontario, Quebec, New Brunswick, and New England, highlighting interregional transmission links.

Interface Direction 2024 Summer 2024/25 Winter British Columbia -> Washington 2,358 MW 2,170 MW Washington -> British Columbia 2,897 MW 2,795 MW British Columbia <-> Alberta

AI summary The document presents data on electricity interface directions between British Columbia and Washington for the 2024 Summer and 2024/25 Winter periods, with values in megawatts (MW). It also references a section on British Columbia and Alberta, though no data is provided for this interface.

Interface Direction 2024 Summer 2024/25 Winter British Columbia -> Alberta 846 MW 855 MW Alberta -> British Columbia MW40 1,000 MW41 1,000 40 This value is a stability limitation. 41 This value is a stability limitation. Alberta <-> Wasatc...

AI summary The document provides a table showing the interface direction and power transfer values between British Columbia and Alberta for the 2024 Summer and 2024/25 Winter periods. It also mentions stability limitations for certain values and references an interface between Alberta and Wasatch Front.

Interface Direction 2024 Summer 2024/25 Winter Alberta -> Wasatch Front 957 MW 1,280 MW Wasatch Front -> Alberta 525 MW 477 MW Alberta <-> Saskatchewan

AI summary The document presents data on the flow of electricity between Alberta and the Wasatch Front during the 2024 Summer and 2024/25 Winter periods, indicating the direction and volume of power transfer between these regions.

Interface Direction 2024 Summer 2024/25 Winter Saskatchewan -> SPP North 165 MW 663 MW SPP North -> Saskatchewan 370 MW 286 MW Saskatchewan <-> Manitoba

AI summary The table shows the interface direction and power transfer between Saskatchewan and Manitoba for the 2024 Summer and 2024/25 Winter periods, indicating the flow of electricity between the two regions.

Interface Direction 2024 Summer 2024/25 Winter Ontario -> MISO West 2,424 MW 1,862 MW MISO West -> Ontario 1,776 MW 2,163 MW Ontario <-> MISO East

AI summary The text presents a table showing the flow of electricity between Ontario and MISO West during the 2024 Summer and 2024/25 Winter periods. It includes the interface direction and the corresponding megawatt values for each season.

Interface Direction 2024 Summer 2024/25 Winter Ontario -> New York 2,286 MW 2,719 MW New York -> Ontario 1,390 MW 1,780 MW Québec <-> Ontario[42](#page-81-2)

AI summary The table shows the interface direction between Ontario and New York for the 2024 Summer and 2024/25 Winter periods, indicating the flow of electricity in megawatts. The text also references a section about Quebec and Ontario with a footnote.

Interface Direction 2024 Summer 2024/25 Winter Into British Columbia TTC MW51 2,897 3,078 MW Percentage of Peak Load 31% 27% Into Alberta[52](#page-86-3)

AI summary The document presents data on interface direction into Alberta for the 2024 Summer and 2024/25 Winter periods, including megawatt values and percentages of peak load.

Interface Direction 2024 Summer 2024/25 Winter Into Manitoba TTC MW54 1,961 2,483 MW Percentage of Peak Load 66% 55% 54 Value is from the Ontario to Manitoba interface, as the total import interface calculation was more limiting. Into Onta...

AI summary The document provides information on the interface direction and percentage of peak load for Manitoba and Ontario during the 2024 Summer and 2024/25 Winter periods. It mentions the Ontario to Manitoba interface and the total import interface calculation.

Interface Direction 2024 Summer 2024/25 Winter Into Ontario TTC MW56 2,160 MW57 2,203 dc-only interfaces 1,250 MW 1,250 MW Total of TTC and dc-only interfaces 3,410 MW 3,453 MW Percentage of Peak Load 14% 15% Into Québec[58](#page-88-5)

AI summary The document provides data on interface directions for 2024 Summer and 2024/25 Winter, including into Ontario TTC, dc-only interfaces, and their percentages of peak load. It also references a section on Into Québec with a citation.

٦ Table 5.2: Maximum Resource Deficiency (MW) by TPR and Weather Year (2033 Case) Transmission Planning Region WY2007 WY2008 WY2009 WY2010 WY2011 WY2012 WY2013 WY2019 WY2020 WY2021 WY2022 WY2023 Max Resource Deficiency British Columbia 0 0...

AI summary Table 5.2 presents the maximum resource deficiency (MW) by Transmission Planning Region (TPR) and weather year for the 2033 case. The largest maximum resource deficiency across all 12 weather years is identified as a critical input for Step 4.

The data sources used for the energy margin analysis are shown in [Table A.1](#page-126-1) below. Table A.1: Overview of the Two-Pronged Approach for Historical Weather Data Synthetic Weather Data Weather Years 2007–2013 Scaled Historic Ac...

AI summary The document outlines the data sources used for energy margin analysis, including synthetic weather data and scaled historic actuals for load profiles, wind and solar generation, and forced and planned outages. It provides an overview of the two-pronged approach used for historical weather data from 2007–2013 and 2019–2023.

Table B.1. LTRA Forecast Target Annual Energy and Summer/Winter Peak Loads Year Period BC AB SK MB ON QC NB NS Summer Peak (MW) 8,961 11,446 3,517 2,993 23,626 22,466 2,216 1,444 2024 Winter Peak (MW) 11,938 12,086 3,873 4,657 22,885 40,73...

AI summary The table presents forecasted energy and peak load data for various regions in Canada, including Nova Scotia, from 2024 to 2033. The data is derived from historical weather patterns and resampled to account for temperature variations. Alberta's synthetic load data was provided by AESO.

The synthetic and historical load profiles were scaled to align the median energy and peak loads from the weather years to the targets at the LTRA assessment area level. Annual peak loads for each TPR by weather year are shown in [Table B....

AI summary The document discusses the scaling of synthetic and historical load profiles to align median energy and peak loads with targets at the LTRA assessment area level. Annual peak loads for 2024 and 2033 are presented in tables and figures, showing variability due to weather conditions. Load values exclude behind-the-meter photovoltaic (BTM PV) energy.

Appendix B: Load Profiles Table B.2: Annual Peak Load by Weather Year (2024 Case) Transmission Planning Region WY2007 WY2008 WY2009 WY2010 WY2011 WY2012 WY2013 WY2019 WY2020 WY2021 WY2022 WY2023 Min Median Max British Columbia 11,961 11,91...

AI summary Appendix B presents annual peak load data for various transmission planning regions across different weather years for the 2024 and 2033 cases. The data includes minimum, median, and maximum values for each region, highlighting trends and variations in load profiles over time.

Appendix C: 2024 and 2033 Capacities Table C.1 details the capacity in each TPR by resource type in the 2024 case, based on the 2023 LTRA Form B submissions and adjustments provided by Canadian utilities. Table C.2 shows the capacity of ce...

AI summary Appendix C outlines the capacity data for 2024 and 2033, detailing tables that show capacity by resource type and TPR. The data is based on 2023 LTRA Form B submissions and includes adjustments for retirements and additions. Winter capacity for thermal and hydro resources and installed capacity for wind, solar, and storage are highlighted.

Ī Table C.1: 2024 Cap acity by Resource Type and TPR (in M IW) Total Canada 3,085 28,138 4,344 12,078 2,074 75,211 22,628 5,426 4,382 175 3,640 7,308 Table C.5: Monthly Maximum Rating Factors for Hydro Resources by TPR (% of Capacity) Tran...

AI summary Table C.1 provides capacity data for various Canadian provinces, including total capacity and related metrics. Table C.5 outlines monthly maximum rating factors for hydro resources by transmission planning region, showing variations across provinces and months.

Saskatchewan Table D.2: Finalizing Transfer Capability Additions to Saskatchewan Iteration Max Resource Deficiency (MW) Alberta Wasatch Front SPP North MISO West Manitoba Base 543 Iteration 1 33 36 36 48 28 353 Iteration 2 29 34 37 55 26 1...

AI summary The document presents a table and text discussing the process of finalizing transfer capability additions to Saskatchewan through multiple iterations. The iterations show reductions in resource deficiencies, with the final iteration reaching zero. The process involved proration and reallocation of small additions to meet a minimum threshold of 300 MW.

Québec Table D.4: Finalizing Transfer Capability Additions to Québec Iteration Max Resource Deficiency (MW) New York New England Ontario New Brunswick Base 10,374 Iteration 1 1,045 941 785 682 7,603 Iteration 2 1,431 986 852 186 4,879 Iter...

AI summary The document presents Table D.4, which details the finalizing of transfer capability additions to Québec across multiple iterations, showing reductions in resource deficiencies. Alternate allocations of transfer capability may also address these deficiencies. This table is repeated from Table 5.3 for completeness.

BY MR. MURPHY: 1 Q. And you're welcome to read to 2 that. I can paraphrase as well. IESO effectively says 3 that the timeline is aspirational because work "to 4 understand the feasibility and reasonableness of this 5 date" remain to be und...

AI summary Mr. Murphy is asking for an update on the timeline for the IESO's transition, noting that the original timeline was aspirational. The response indicates that work is ongoing, with completion expected by mid-2026/2027. The IESO explains that the transition involved significant planning and collaboration with IBM and Nova Scotia Power, and highlights the complexity of real-time operations.

IESO NOVA SCOTIA PANEL 221 Cr-ex, (MacAdam) - real-time data to their websites, for example. And so as we think about a more complex tool that would enable us to perform similar functions, that was the thinking that led to this concept of...

AI summary The discussion revolves around the development of a more complex tool for real-time data and improved functionality on a website, including hosting of Integrated Resource Plan documents and procurement activities. The specific feature of near real-time data is noted as a future phase.