N-17Transition Plan and IT, OT & Cybersecurity Roadmap - IESO
3 passages
- A. A clear definition of the technology capabilities required by IESO Nova Scotia to deliver the Phase 2 dispatching and control functions enabled by the Act, including near-term operational planning, reliable system operations (includin...
AI summary The document outlines the scope of work for Phase 2 dispatching and control functions under the Act, focusing on technology capabilities, strategic options, and a roadmap for implementation. It emphasizes the need to assess existing NSP assets, identify integration requirements, and evaluate the feasibility of meeting the April 2027 delivery date.
Anticipated Work • Develop 4-5 options for the delivery of Phase 2 dispatching and control functions including near-term operational planning, reliable system operations (real-time monitoring of the power system and contingency analysis) a...
AI summary The anticipated work involves developing 4-5 options for Phase 2 dispatching and control functions, including operational planning, system reliability, and efficient generation dispatch in Nova Scotia. The analysis will compare leveraging existing facilities, building new ones, shared services, and inter-regional collaboration, evaluating each option's pros, cons, timelines, costs, and system reliability.
Additional Context Phase 1 Transition (system planning, generation interconnection planning and energy procurement) is planned to take place on December 1, 2025. Phase 1 will focus on the transfer of transmission planning and procurement r...
AI summary The document outlines the transition of electricity system planning and operations from Nova Scotia Power (NSP) to the Independent Electricity System Operator (IESO) in two phases. Phase 1, set for December 2025, involves transmission planning and procurement functions, while Phase 2, planned for Q2 2027, includes real-time dispatch operations. The transition considers Nova Scotia’s unique energy landscape and challenges, including cybersecurity recovery and limited interconnectivity.
N-18Response to Undertakings - Redacted
12 passages
Interregional Transfer Capability Study Canadian Analysis Strengthening Reliability Through the Energy Transformation Final Report
AI summary This document presents the final report of an interregional transfer capability study focused on strengthening reliability through energy transformation in Canada.
Electricity is a key component of the fabric of modern society and the Electric Reliability Organization (ERO) Enterprise serves to strengthen that fabric. The vision for the ERO Enterprise, which is comprised of NERC and the six Regional...
AI summary The Electric Reliability Organization (ERO) Enterprise, composed of NERC and six Regional Entities, aims to ensure a reliable, resilient, and secure North American Bulk Power System (BPS). The ERO's mission is to reduce risks to grid reliability and security, supporting the needs of nearly 400 million North American citizens.
NERC conducted the Interregional Transfer Capability Study (ITCS) to inform the potential need for more electric transmission transfer capability to enhance reliability in the United States[.](#page-53-1) 1 The ITCS was completed and filed...
AI summary NERC conducted the Interregional Transfer Capability Study (ITCS) to assess the need for enhanced electric transmission transfer capability in the U.S. and Canada, with findings that highlight both similarities and differences between the two systems. The study was mandated by Congress and filed with FERC.
Enhancing Reliability–Key Canadian Features The Canadian electric system has some distinct features that make it differ from the rest of the BPS, including regulatory and planning coordination, geography, climate, and other system characte...
AI summary The Canadian electric system has distinct features that differentiate it from the rest of the BPS, including regulatory and planning coordination, geography, climate, and other system characteristics.
Interface Direction 2024 Summer 2024/25 Winter New Brunswick -> Nova Scotia MW47 170 MW48 100 Nova Scotia -> New Brunswick MW49 350 MW50 350 47 This value is a stability limitation, adjusted based on exports to Prince Edward Island. 48 Thi...
AI summary The document presents data on the interface direction between Nova Scotia and New Brunswick for the 2024 Summer and 2024/25 Winter periods, indicating power flow in megawatts (MW) and noting stability limitations for certain values.
Interface Direction 2024 Summer 2024/25 Winter Into Alberta TTC 946 MW 855 MW53 dc-only interfaces 150 MW 150 MW Total of TTC and dc-only interfaces 1,096 MW 1,005 MW Percentage of Peak Load 10% 9% 51 Value is from the Washington to Britis...
AI summary The text presents data on power interface directions between regions, including into Alberta and Saskatchewan, with specific values for 2024 Summer and 2024/25 Winter. It includes notes on calculation limitations and stability constraints affecting the data.
Hydro Resource Availability Hydro resources were modeled with monthly maximum availability factors based on historical observations. While they are renewable resources, the availability of hydro is relatively uncorrelated with wind, solar,...
AI summary This section discusses the modeling of hydro resource availability, noting that hydro resources are renewable but have availability factors influenced by inter-annual cycles, water levels, and generator maintenance. Maximum monthly availability factors are used based on historical data. In British Columbia and Québec, hydro generation is largely driven by demand and export, leading to modifications in capacity assumptions.
Thermal Generator Outage Modeling Thermal generators were aggregated by TPR and fuel type to account for daily fluctuations in available capacity. Thermal capacity was aggregated by up to eight fuel types in each TPR, resulting in 290 uniq...
AI summary Thermal generator outages are modeled by aggregating generators by TPR and fuel type to reflect daily fluctuations in capacity. Data from the GADS system and utility reports are used to analyze forced and planned outages, showing seasonal and daily variations. Unlike the U.S., Canadian systems show no significant correlation between outages and cold temperatures, but some regions face reliability risks with simultaneous outages.
Step 2: Quantify Maximum Resource Deficiency In Step 1, the energy margin analysis quantified the frequency, magnitude, and duration of energy deficiency for each TPR. To illustrate the output of this process, a portion of the 2033 energy...
AI summary Step 2 of the process involves quantifying the maximum resource deficiency for each Transmission Planning Region (TPR) based on the energy margin analysis results from 2033. The analysis considers yearly maximum deficiencies in both winter and summer, with visual distinctions in the table.
1 Table 6.4: 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 6.4 shows maximum resource deficiency (MW) by TPR and weather year for the 2033 case. The 2033 results indicate a more widespread challenge to energy adequacy compared to the 2024 case, driven by load growth, changing resource mix, and current transfer capability application.
Relationship Between Generation and Transmission The study found a nuanced but crucial relationship between generation and transmission. If multiple neighboring TPRs lack resources, additional transfer capability offers limited help becaus...
AI summary The study highlights the complex relationship between generation and transmission, emphasizing that additional transfer capability has limited benefits when neighboring TPRs lack resources or have surplus energy. It underscores the need for balanced planning as resource mixes and load growth evolve, noting that interregional transfer capability was evaluated for reliability but tradeoffs were not assessed.
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.