Optimal intra-day coordination of wind farm and pumped-hydro-storage plant

Intra-day markets have been set up in some power markets with large scale integration of wind power generation. Inspired by Spanish market, this paper proposes a modified intra-day bidding mechanism to better accommodate stochastic wind energy. Then the coordinated operation of wind farm (WF) and pumped-hydro-storage plant (PHSP) is studied. Firstly, wind power forecast errors are classified according to forecast wind speed. The corresponding error distribution is represented by a versatile probability function, which is explicitly reversible. Secondly, a chance-constrained optimization formulation is proposed to obtain the optimal bidding strategy of WF and PHSP. Case studies and sensitivity analyses are carried out. Simulation results demonstrate that the intra-day bidding mechanism can effectively utilize the updated wind power forecast data, and the proposed optimization method can increase profit for the union of WF and PHSP.