Ancillary Services Acquisition Model: Considering market interactions in policy design

A rapidly changing electricity sector requires adjusted and new ancillary services, which enable the secure reliable operation of system. However, assessments policy advice regarding services market design lack methods to evaluate complex interaction markets services. Therefore, this paper contributes an open-source agent-based model test options for markets. The Ancillary Services Acquisition Model (ASAM) combines modeling framework MESA with toolbox Python Power System Analysis (PyPSA). provides various parameters per agent-specific strategies as well detailed clearing algorithms day-ahead market, intra-day continuous trading, redispatch, imbalances. Moreover, ASAM includes numerous performance indicators, including a novel price mark-up indicator redispatch indicators. stylized simulation scenario verified validated addressed question. results displayed following implications from order types in multi-period all-or-none design: (1) few risks parties, orders are fully cleared. (2) Large may lead dispatch ramps before after delivery period cause “ramp-risk” mark-ups additional trading imbalances on intra-day. (3) All-or-none liquid situation leads over-procurement by grid operator, cannot be partially activated. it is likely that operator induces system “incomplete” activation (i.e. upward downward volumes not equal).