Self-scheduling of a price-taker hydro producer in day-ahead energy and ancillary service markets

This paper addresses the self-scheduling of a price-taker hydro generating company in a pool-based electricity market. This company comprises several cascaded hydro plants along a river basin. The goal is maximizing the profit of company from participating in the day-ahead energy and ancillary service markets. The spinning reserve and regulation services are considered as ancillary services that hydro producer can participate in their markets. The self-scheduling problem of hydro producer is therefore formulated and solved as a mixed integer non-linear programming (MINLP) problem. Numerical results for a case study are discussed.