# Game Approach to HDR-TS-PV Hybrid Power System Dispatching
## 1 Introduction
Considering the scenario of time-of-use (_TOU_) electricity price and randomness of wind power, a stochastic hourly combinational approach for effective dispatching of the wind plants, cascaded hydropower station, and pumped-storage units was proposed in [16]. With the development of electrochemical energy storage technology, batteries have been widely used to coordinate renewable energy systems [17]. A linear model was used to describe the energy storage dispatching model that minimized the power demand and verified the feasibility of lithium-ion battery storage [18]. In [19], the load following strategy and cycle charging strategy of battery are combined to explore the feasibility of a joint dispatching strategy for _PV_/diesel/battery hybrid power system. A model for optimizing AC-coupled and DC-coupled _PV_-battery hybrid power system was proposed in [20], which proved the economics of large-scale lithium battery storage plants under appropriate conditions. The research on geothermal hybrid power systems is still relatively few. Geothermal generation was used as the power source to optimize the dispatch of wind- _PV_ hybrid power system in the island scenario [21]. An _HDR_ power station scheme combining geothermal generation, absorption refrigeration, and waste heat heating systems was further proposed in [22]. For specific applications, an _HDR_ cogeneration system that combines wind and _PV_ energy as power sources to meet the cold, heat, and electricity demands of an independent micro-energy grid was proposed in [23]. In [24], a new type of combined cooling and power supply system was proposed in order to meet the energy demand of buildings, which can meet the seasonal cooling and power demand of buildings and maximize the utilization of hot dry rock resources. The above research can well solve the coordinated dispatching problem and improve the system economy, but the interaction of the hybrid power system participants is not entirely reflected [25]. Therefore, other scholars have discussed the hybrid power system's coordinated operation based on game theory [26]. In [27], game theory was introduced to model a hybrid power system comprising wind turbines, \(PV\) plants, and batteries to optimize the dispatching strategy of energy storage systems. The Stackelberg game was used to obtain the charging strategy of electric vehicles and the pricing strategy of charging stations [28]. Cooperative and non-cooperative game methods were used to study automatic distributed optimal economic of automatic generation control in multi-region power systems [29]. A non-cooperative game dispatching model composed of wind power, thermal power, and pumped storage power plants was established to optimize the combined operation effects in different seasons [30]. Through non-cooperative game theory, a power generation dispatch model of a hybrid power system containing wind, wind, and heat was established to maximize the overall profits in the long-distance transmission scenario [31]. A general framework for power system flexibility analysis based on cooperative game theory was proposed for risk design and energy policy design [32]. The potential cooperative behaviors of multiple grid-connected micro-grids were simulated to achieve higher efficiency and better economy [33]. In [34], the payoffs of wind turbines, thermal power stations, and electric vehicles in the power market were studied based on cooperative game theory, and the imputation of the cooperative game was rationally allocated based on the Shapley value. The profit allocation of the hybrid power system in the cooperative game was analyzed in [35]. The results show that the Shapley value is the most stable allocation strategy. Previous studies have provided extensive theories and methods for the hybrid power system dispatching. However, the characteristics of \(HDR\) power stations observed in the energy extraction and conversion process lead to different operational strategies compared to thermal power stations and energy storage power stations.