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Integ will be monitoring changes closely and updating our systems accordingly to manage the new Intraday Offer changes PJM plans to implement. The following message has been sent to the MIC, Markets Gateway, Technotify and Demand Response Subcommittee on behalf of Kim Warshel, Senior Engineer, Real Time Market Operations.
As discussed at the December Tech Change Forum, a separate Markets Gateway training environment is now available for members to use to gain familiarity with the Intraday Offers (IDO) functionality. Users that have Markets Gateway Training access will automatically have Intraday Offers Markets Gateway Training access. An education session to help familiarize members with the Intraday Offer impacts to Markets Gateway is scheduled for Monday, January 9 from 1:00 p.m. – 4:00 p.m. You can register via this link. Additional Materials:
The targeted implementation date for IDO is November 1, 2017. Please contact PJM’s Member Support Hotline at 866-400-8980 or at custsvc@pjm.com with any questions. CPS Energy is the nation’s largest municipally owned energy utility providing both natural gas and electric service. We serve more than 786,000 electric customers and 339,000 natural gas customers in and around San Antonio, the nation’s seventh largest city. CPS is utilizing our cloud based PowerGADS application, where users can generate statistical generation data from a variety of sources, whether contained in a centralized location or distributed among several. Upon collection, all data is validated using NERC Level 1 and Level 2 diagnostics. Once validated, the data is used for several purposes, including internal reporting; for example, the Station Performance and Generating Outage Rate Program. PowerGADS then submits this gathered data to an ISO/RTO or the North American Electric Reliability Corporation (NERC) using standard "card" formats. Integ’s Margin Analyzer examines the relationship between actual margin and lost margin due to outages and derates. By examining the heat curves, the incremental cost curves, and the hourly LMP or system Lambda tied to each specific unit, the system shows the true economic impact of each outage or derate. Margin Analyzer shows how much margin the unit could have made by simulating a generation pattern if the event was avoided.
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