FERC 2023 Software Conference | Day 1 CMR
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- Опубликовано: 29 июн 2023
- 2023 FERC Software Conference: Increasing Real-Time and Day-Ahead Market and Planning Efficiency Through Improved Software
Docket No. AD10-12-014
PRESENTATIONS:
0:04:13 00. Introduction and Welcome by Elizabeth Topping, FERC
0:22:25 01. Probabilistic Energy Adequacy Assessment under Extreme Weather Events
Presented by Jinye Zhao, ISO New England
0:55:56 02. Transmission Outage Probability Estimation Based on Real-Time Weather Forecast
Presented by Mingguo Hong, ISO New England
1:25:21 03. Overview of MISO and PJM Hybrid Multiple Configuration Resource Model Implementation Within PROBE Software
Presented by Qun Gu, PowerGEM
1:53:50 04. Optimizing Combined Cycle Units in PJM’s Wholesale Energy Markets using a Hybrid Multiple Configuration Resource Model
Presented by Anthony Giacomoni, PJM Interconnection
3:25:57 05. Enhancements to Ramp Rate Dependent Spinning Reserve Modeling
Presented by Shubo Zhang, New York ISO, John Meyer, and Iiro Harjunkoski
3:52:01 06. Determining Dynamic Operating Reserve Requirements for Reliability and Efficient Market Outcomes: Tradeoffs and Price Formation Challenges
Presented by Matthew Musto, New York ISO
4:17:45 07. Operational Experience with Nodal Procurement of Flexible Ramping Product
Presented by Guillermo Bautista-Alderete, California ISO
4:44:57 08. Impact of DERs on Load Distribution Factors in Forecasting
Presented by Hani Alarian, California ISO
5:21:24 09. Facing Day-ahead Challenges with Gurobi
Presented by Seth Mayfield, Southwest Power Pool
6:21:08 10. MISO Operations Risk Assessment and Uncertainty Management
Presented by Congcong Wang, Midcontinent ISO
6:51:01 11. Market Simulation Tools and Uncertainty Quantification Methods to Support Operational Uncertainty Management
Presented by Nazif Faqiry, Midcontinent ISO and Arezou Ghesmati, Midcontinent ISO
7:21:31 12. Pumped Storage Optimization in Real-time Markets under Uncertainty
Presented by Bing Huang, Midcontinent ISO
7:53:39 13. Forecasting Aggregate Electricity Demand on a 5-minute Basis using Machine Learning
Presented by Yinghua Wu, PJM Interconnection
8:17:13 14. Long-Term Outlook for the ERCOT Grid
Presented by Pengwei Du, Electric Reliability Corporation of Texas