A MIP-based optimal operation scheduling of pumped-storage plant in the energy and regulation markets

Abstract

This paper addresses the problem of optimal operation scheduling of an individual pumped-storage plant to participate in the energy and regulation markets simultaneously. The goal is achieving of the maximum expected profit when the plant participates in a day-ahead (DA) energy and regulation markets while all of the technical constraints are satisfied. This optimal operation scheduling problem is formulated and solved as a mixed integer programming (MIP) problem. Numerical results for a case study are discussed.