Capacity Planning Method for Heat Storage Tanks in Thermal Power Plant Based on Dynamic Complete Information Game

In order to reduce the serious wind power curtailment in the northern region and mitigate the contradiction between thermal power plant and wind farm, and with a bilateral contract market to trade peak-regulating power, this paper applies the dynamic games of complete information to establish a heat storage tank capacity planning model. Then the grid search method is used to find the Nash equilibrium point, and the decision schemes of the two plants are optimized. The results show that the heat storage device can not only increase the flexibility of the thermal power plant but also consume the abandoned wind effectively. However, the peaking electricity price will also affect the actual profits of the two parties. Only when the peaking electricity price is reasonably formulated can the two plants harvest the greatest benefits. The conclusions of this paper can provide reference and basis for planning heat storage capacity and formulating peaking electricity price.