N-9-(i)Appendices A-N
6 passages
able to model in each scenario (this may differ by scenario). Combination of qualitative evaluation and/or quantitative modeling using E3’s RESOLVE model. Initial Portfolio Conduct capacity expansion optimization modeling with Plexos LT St...
AI summary The document outlines the methodology for evaluating resource portfolios and scenarios in Nova Scotia Power's Integrated Resource Plan (IRP). It includes capacity expansion optimization modeling using Plexos and E3’s RESOLVE model, reliability screening with E3’s RECAP model, and operability screening using Plexos MT/ST to assess production costs and dispatch constraints.
Nova Scotia Power IRP Final Report Appendix H Page 199 of 321 Development of the microgrid energy management system, to balance short-term loads Cloud services • Ancillary services Digital Schneider Electric’ Microgrid architecture: From t...
AI summary The text discusses the development of a microgrid energy management system, focusing on balancing short-term loads through cloud services, optimization, information services, and supervision with data management and communication components. It highlights the integration of engineering expertise and digital platforms.
ility’s efficiency, resiliency, and sustainability, visit www.schneider-electric.us/microgrid Schneider Electric 800 Federal Street Andover, MA 01810 www.schneider-electric.us/microgrid October 2017 ©2017 Schneider Electric. All Rights Res...
AI summary Schneider Electric is developing a microgrid energy management system aimed at balancing short-term loads. The document references a submission from Digby dated February 14, 2020, and mentions a report from Nova Scotia Power's IRP Final Report.
Nova Scotia Power IRP Final Report Appendix H Page 202 of 321 Development of the microgrid energy management system, to balance short-term loads Cloud services • Ancillary services Digital Schneider Electric’ Microgrid architecture: From t...
AI summary The text describes the development of a microgrid energy management system, focusing on balancing short-term loads through cloud services, optimization, information management, and supervision with user interfaces. It highlights the integration of engineering expertise and digital platforms.
Two sensitivities were added examining high and low sustaining capital costs for existing thermal units, and a third was completed which examined a high cost sensitivity on pricing for Natural Gas and Import prices, since those resources w...
AI summary The text discusses the addition of sensitivities examining capital costs for thermal units and natural gas pricing in the context of the Integrated Resource Plan (IRP). It also addresses a question regarding the difference between the 'relative rate impact comparison' slide and individual model run results, and mentions PLEXOS co-optimizing energy dispatch and ancillary services.
ther Plexos makes unit commitment decisions to satisfy operating reserve PLEXOS co-optimizes the energy dispatch and provision of ancillary services in both the PLEXOS LT and requirements and meet inertia constraints sequentially or throug...
AI summary The text discusses the importance of model configuration in Plexos for handling operating reserve requirements and inertia constraints, and highlights the need for NS Power to ensure consistency in model parameters across scenarios for accurate sensitivity analysis.