Topic:"System Reliability" in M11108

........................................................ 66 18 7.0 Industrial and Municipal Sectors ....................................................................................... 68 19 7.1 Small Industrial............................

AI summary Redacted sections of the 2023 Load Forecast Report discuss industrial/municipal sectors, system losses, unbilled sales, net system requirements, peak demand, and sensitivity analysis. The document is part of a regulatory proceeding, focusing on energy system planning and forecasting.

1 List of Figures 2 3 Figure 1: Historical and Predicted Annual Net System Requirement ............................................ 7 4 Figure 2: Historical and Predicted Annual System Peak ....................................................

AI summary The document lists figures related to historical and predicted energy system requirements, peak demand, heating/cooling degree day trends, temperature regression models, and geographic weather station data. These visualizations support forecasting methodologies and energy usage pattern analysis for system reliability planning.

57: Hourly Peak Temperature Regression Model Results ................................................ 80 16 Figure 58: 12hr Avg Lag Peak Temperature Regression Model Results ..................................... 80 17 Figure 59: 24hr Avg L...

AI summary The text lists figures analyzing peak temperature regression models, load research data, and forecast accuracy for energy systems. It includes historical and projected system peaks, demand response impacts, and residential/commercial end-use contributions, relevant to energy load forecasting and system reliability analysis.

1 - Revisit the short-term economic inputs provided by the Conference 2 Board of Canada to ensure data are close to those used in the 3 forecasts of Canada’s major Banks. 4 5 - Revisit the model’s EV adoption rates and examine EV rebates t...

AI summary NS Power revised the 2023 Load Forecast by updating peak temperature models, incorporating EV adoption data aligned with federal ZEV mandates, and including hybrid electrification scenarios. The Board directed revisiting economic inputs from the Conference Board of Canada and EV rebate data from Statistics Canada and Nova Scotia Open Data.

. 26 • A summary of the Smart Grid and Demand Response projects is provided in 27 Sections 4.4 and 10. 28 • A discussion of the economic inputs, including housing completions and median 29 income, is provided in Section 4.3. 30 4 Ibid, pag...

AI summary NS Power held a stakeholder session on March 31, 2023, discussing updates to the 2023 Load Forecast, including impacts of COVID-19, EV growth, space heating, peak temperature assumptions, renewable-to-retail effects, and small-scale solar trends. The session addressed stakeholder questions about a new system peak set in February 2023.

2023 Load Forecast Report (NSUARB M11108) NSPI Responses to Consumer Advocate Information Requests NON-CONFIDENTIAL 1 Request IR-3: 2 3 Reference: Exhibit N-1, p. 42, lines 6-9, Figure 30, p. 43, and p. 77, lines 18-19. 4 5 (a) Please prov...

AI summary NSPI responds to a consumer advocate's request for data on EV charging impacts on system peak load, referencing a table of top 10 peak hours and noting discrepancies between sample group charging patterns and general population estimates. The response clarifies that Figure 30's values may not fully represent broader EV impact scenarios.

2023 Load Forecast Report (NSUARB M11108) NSPI Responses to Small Business Advocate Information Requests NON-CONFIDENTIAL 1 Request IR-10: 2 3 Please reference page 88, Lines 4-13. 4 5 (a) Please discuss historical annual peaks dating back...

AI summary NSPI responds to queries about historical load peaks and P90 scenarios in the 2023 Load Forecast Report. Historical peaks are compared to regression models in Attachment 10, while a 20% Planning Reserve Margin (PRM) is applied to account for uncertainties like P90 scenarios and supply disruptions, ensuring compliance with NPCC reliability standards.

• V2G discharge Project) Reliability N/A customer during an outage operating mode vehicles can be topped up based on forecasted outages • System Average Interruption Frequency Index (for EVSE8 • Value of Lost Load (VOLL) ($/kW) manually vi...

AI summary The text discusses V2G discharge projects, focusing on reliability and outage management. It mentions customer topping up during outages, operating modes, and metrics like the System Average Interruption Frequency Index and Value of Lost Load, based on data from the Smart Grid NS project.

operating mode (default 20% outages may be forecasted so Project) battery top-up to provide back up Reliability Pilot 2/R3A customer during outages provide partial home backup state-of-charge reserved for batteries can be topped up SV8 • S...

AI summary The text discusses reliability measures, including battery top-up for backup during outages, system average interruption duration index, and value of lost load. It references pilot programs and reliability planning.

Project Scenarios for Comparison Measuring Outcomes ESP Processes Applicable to Value Reduced Upward Pressure on Revenue Baseline Scenario Baseline Scenario 2 Test Scenario Customer Benefit DER Class DER Group Value Streams DER Control Var...

AI summary The text outlines project scenarios for comparison, focusing on measuring outcomes, value streams, and technical and functional data related to DER control variables. It includes baseline and test scenarios, emphasizing system reliability, grid stability, and customer benefits.

• Connection Status & Alarm Status - The availability of PV Inverters for control during each test (including communication to the PV Inverters, and the customer participation level) • Feeder Voltage (V), Current (A) and Load (MVA) • Value...

AI summary The text discusses the monitoring and control of PV inverters during tests, including communication status, feeder voltage and current, load measurements, and the management of power factor correction. It also touches on deferred distribution system upgrades.

70 215 219 156 65 In the current reporting period (i.e. July 1 to December 31, 2022) – • generation totaled 1,254.0 MWh • forecast was 1,207.8 MWh • deviation from forecast was +3.1% Page 2 of 7 . REDACTED (CONFIDENTIAL INFORMATION REMOVED...

AI summary The document provides energy generation data for the period July to December 2022, showing a 3.1% deviation from the forecast. It also mentions a system outage event from June 28 to July 1, 2022, caused by a failed protection component at the Community Solar Garden, which limited solar production to around 90% on July 1.

iled protection component at the Community Solar Garden beginning around 11:00 on the morning of June 28 extended to about 12:00 on July 1. Solar production was limited to approximately 90% on July 1. Outa g e Event – July 12 t o 13, 2022...

AI summary The document details several outage events at the Community Solar Garden in 2022, including dates, causes, and impacts on solar production. Each event is described with specific times of occurrence, restoration, and the extent of solar production disruption.

or damaged pieces of the mechanical balance of systems. The main electrical infrastructure remained unharmed; however, the damage to components of the system resulted in 108 hours of system downtime. The system returned to partial operatio...

AI summary The document details multiple outage events affecting a solar garden, including a prolonged outage in June, an annual maintenance event in October, and grid-related outages in December 2022. These events caused downtime, reduced solar production, and impacted the system's performance throughout the year.

ng this mode will enable the testing of smart functions for solar inverters. A procedure on how to enable and disable zero export mode and functionality will be provided to the system operator. Residential Batteries • During extreme weathe...

AI summary The text discusses residential battery systems, including storm mode functionality, communication issues, and a fire incident related to a faulty switching device caused by water intrusion. The manufacturer has addressed the communication issue and replaced the faulty device with an improved model.

0 $ from new revenue stream (where applicable) $0.00 Other economic indicator, please specify: n/a pg. 8 . REDACTED (CONFIDENTIAL INFORMATION REMOVED) REDACTED 2023 Load Forecast Report Synapse IR-9 Attachment 2 Page 176 of 205 CI C0010788...

AI summary The document discusses progress on socio-economic and technical performance targets for a solar garden project, noting that only 40% of customers are subscribed, falling short of the 100% target. Additionally, no C&I solar customers have been commissioned, though this is expected by Q3 2022. The project has experienced minor delays due to COVID-19 restrictions, but these have had little impact on the budget.

e customers to ensure system with those customers on adequacy. Ongoing. a regular basis. 1 Date Filed: June 20, 2023 NSPI (Synapse) IR-46 Page 4 of 4

AI summary The document discusses ongoing efforts to ensure system adequacy through regular customer engagement. It was filed by NSPI (Synapse) on June 20, 2023, and is part of a larger proceeding.

sses and jurisdictions, 19 design of retail rates, and performance-based ratemaking for electric utilities. 20 My professional qualifications are further summarized in Attachment 1. 21 Q: Have you testified previously in utility proceeding...

AI summary John D. Wilson, testifying on behalf of the Nova Scotia Consumer Advocate, discusses improvements to NS Power’s load forecast methods, areas needing enhancement, and implications of electrification for distribution planning.

fully relying on heat pumps to customers using some non-electric backup 9 system during peak periods would have a “large impact on the peak impact of heating 10 electrification.”7 11 Q: What are the implications of this finding for NS Powe...

AI summary NS Power faces challenges in meeting peak winter heating demand as part of its decarbonization strategy. Strategies include time-varying rates, battery storage, gas-fueled peaking units, and transmission interconnections. Customer-sited resources like natural gas and battery storage could reduce system peak demand by 257 MW, but pipeline capacity limits may hinder expansion.

ncy in Utility Resource Planning Meeting, February 10, 2015. “The Clean Power Plan Can Be Implemented While Maintaining Reliable Electric Service in the Southeast,” FERC Eastern Region Technical Conference on EPA’s Clean Power Plan Propose...

AI summary John D. Wilson from Grid Strategies, LLC presented on energy planning topics including renewable energy reliability, carbon market challenges, solar capacity value, procurement best practices, and resource adequacy. His work spans regulatory proceedings, market design, and technical analyses related to power generation and grid planning.

John D. Wilson  Grid Strategies, LLC Page 8 California PUC Docket A.19-08-013, direct testimony in Southern California Edison’s 2021 general rate case (track 2) on behalf of the Small Business Utility Advocates. Reasonableness of remedial...

AI summary John D. Wilson of Grid Strategies, LLC provided testimony in multiple regulatory proceedings across California, Georgia, and Nova Scotia, focusing on utility rate design, cost recovery, compliance with regulatory orders, and modifications to pricing programs. Key issues included the reasonableness of fuel contract costs, capacity cost calculations, and adjustments to time-of-use pricing.

rvice in its Rebuttal Evidence. NS Power filed its Rebuttal Evidence on September 14 ,2023. Document: 308584 -2- 2023 Load Forecast NS Power uses two discrete elements for its forecast. The first is the Statistically Adjusted End- Use (SAE...

AI summary NS Power's 2023 Load Forecast uses SAE models and DSM adjustments, projecting near-term growth from customer and EV adoption, offset by DSM and solar. Long-term growth (0.7% annual NSR increase) is driven by electrification but mitigated by efficiency and demand response.

wer System Planning Team will conduct more resource modelling “…to assess the potential load impacts and the balance of energy and capacity requirements to meet the net demand of hydrogen facilities.” The Board agrees the issue of commerci...

AI summary The Board emphasizes addressing commercial hydrogen production's impact on NS Power's grid, noting self-generation risks and the need for updated load forecasts. It highlights a 234 GWh variance between 2022 forecasts and actual Net System Requirements, attributing it to pandemic and heat pump factors, and urges NS Power to revisit this category.

a. Please provide the system losses and unbilled sales for each year of the last five years. 4 b. Please provide information about how system losses vary over a typical year. 5 c. Please identify and discuss the reasons for any significant...

AI summary The text outlines requests for data on system losses, unbilled sales, net system requirement, peak demand, and demand response. It seeks source data, calculations, and explanations for these topics, including DR resource modeling, ELCC derivation, and peak demand calibration.

Date Filed: May 30, 2023 CA (NS Power) Page 2 of 6 1 (a) Please provide the system-coincident unmanaged peak impact per vehicle for 2022. In 2 other words, perform the same calculation for the system peak hour or, ideally, for the 3 top te...

AI summary The document includes requests to NS Power regarding EV charging impact calculations, distribution planning considerations for EV and solar growth, and verification of TVP's exclusion from the 2023 Load Forecast. It seeks clarification on AMI technology's timeline for reducing system peak demand and examines peak event timing during winter periods.

priate because the current sample group charging data shows that EV load demand is variable. Therefore, a better understanding of EV’s effect on peak is needed before results from the sample can be confidently applied to the forecast. The...

AI summary The Board emphasizes the need for better understanding of EV load variability and system impacts under low electrification adoption scenarios. It directs NS Power to address RTR service withdrawal concerns and improve stakeholder engagement in load forecasting. The Board also highlights the importance of evaluating DSM benefits and ensuring service reliability during generation shortfalls.