The security-constrained commitment and dispatch for Midwest ISO day-ahead co-optimized energy and ancillary service market

Abstract

This paper reports upon the security-constrained commitment and dispatch algorithms and their implementation for Midwest ISO's day-ahead co-optimized energy and ancillary service markets. The MIP method is utilized to solve the DA market and the RA commitment problems and the LP method solves the DA market clearing problem. Demand response resources are qualified for provision of energy and ancillary services. AS demand curves are introduced to allow for efficient pricing of energy and AS capacities by location. Efficient price signals are expected to induce new generation additions, demand response participations and thus improve grid reliability.