Assessment of control energy bidding by MILP-based short-term planning of generation systems

Generation system operators use computer-aided methods for providing an optimal, profit oriented operation of their facilities. One of the well known methods for short-term planning, which is as well used in this work, is based on mixed- integer-linear-programming (MILP) and has been mentioned in previous works dealing with the challenges of wholesale energy trading. In this contribution it is shown, that additionally to the wholesale market, the new opportunities of the control energy bidding can be exploited by generation system operators to maximise their profits. Therefore the special characteristics of control energy are analysed and it is shown, that some new mathematical formulations have to be implemented in the modeling of generation systems to solve the challenges of control energy bidding in general. The impact of control energy on the optimal operation of generation systems is finally shown on an exemplary system and the necessity of the new method becomes obvious.