MISO’s new day-ahead market clearing engine should move into standalone production near the end of the month following a delay in testing, executives with the RTO have said.
The new engine is one piece of MISO’s yearslong work to replace its aging market platform. Earlier this year, MISO said it planned to begin running its day-ahead market on the new engine in May. (See MISO Sets Sights on 2025 Completion for New Market Platform.)
“I can see the light at the end of the tunnel. I know I’ve been here for four months, but this is years and years of work,” Nirav Shah, MISO’s new chief digital and information officer, said during a Sept. 11 teleconference of the Technology Committee of the RTO’s Board of Directors.
Shah later confirmed to board members that “there were absolutely delays from a testing perspective.”
CEO John Bear acknowledged in June that MISO encountered challenges bringing the day-ahead market into parallel operations with the existing platform. At the time, he said the RTO was working with vendor General Electric to iron out problems that are preventing MISO from cutting over to the new platform and retiring the legacy system.
“The problems and challenges we’re addressing here will help us move faster on the rest of the project,” Bear said.
Shah said the testing phase of the day-ahead market clearing engine is now proceeding smoothly and MISO is in daily communication with GE.
The delay will likely impact the testing of MISO’s new real-time market clearing engine, which was expected to begin parallel operations in the third quarter of this year, but Shah said that start time is looking tenuous.
However, Shah said MISO plans to finish most of the projects associated with its market platform replacement by the end of 2025.
The RTO said it remains on track to launch its new one-stop model manager and end parallel operations of its old, siloed modeling systems in 2025.
MISO said it has worked with vendor Siemens to standardize data fields across the RTO’s separate modeling structures to make a cohesive model manager. It expects to complete data migration sometime in the first quarter of next year.
