N-18Response to Undertakings - Redacted
6 passages
Various Options to Address Resource Deficiency Risks When addressing the identified risks, entities have various tools at their disposal. While the Canadian Analysis identifies additions to transfer capability as one means of addressing ex...
AI summary The document outlines various strategies to address resource deficiency risks, including internal resource development, transmission enhancements, and demand-side management. It emphasizes the need for a balanced approach, considering the impacts of each option, and highlights the importance of reliable generation, cost-allocation mechanisms, and energy storage.
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.
Storage Modeling Storage resources, both pumped storage hydro and battery storage, were modeled as two distinct units for each TPR. Information regarding installed capacity for each resource type for existing and future capacity builds was...
AI summary Storage resources, including pumped storage hydro and battery storage, were modeled separately for each TPR, with assumed durations of 12 and 4 hours respectively. Storage units dynamically charge and discharge based on energy margins, with efficiency losses of 30% and 13% respectively. The model does not optimize imports/exports between TPRs, though imports can be used for recharging during grid stress.
Resource Scheduling Method The hourly energy margin is then used to model the available energy across the entire North American BPS for all 12 weather years. This is done to consider the energy adequacy in each TPR, with and without transf...
AI summary The resource scheduling method models hourly energy margins across North American BPS for 12 weather years, focusing on energy adequacy within and between TPRs. It prioritizes reliability by scheduling resources within a TPR before relying on transfers, and uses scarcity weighting factors to drive dispatch decisions based on surplus or scarcity rather than cost.
Capacity and Load Data (in MW) Resource Type 2024 2033 Thermal 21,010 20,609 Hydro 8,747 8,747 Variable Renewable 7,593 7,593 Energy Limited 810 1,825 Total 38,160 38,774 Note: Thermal and hydro values represent winter ratings Summer Peak...
AI summary The document presents capacity and load data for 2024 and 2033, including thermal, hydro, and variable renewable resources. It also includes details on resource deficiency events and transfer capability summaries for Quebec, highlighting the expansion of TTC and its percentage of seasonal peak demand.
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.