With the construction of new power systems,higher demands are placed on the operational strategies of energy storage operators.Against the backdrop of the sharing concept,a dual-layer game model is constructed for shared energy storage participation in different energy-frequency joint markets.Firstly,the upper-layer model establishes a bid optimization model for shared energy storage operators,aimed at dynamically generating bid information for shared energy storage in various markets.The lower layer consists of a joint clearance model for market participants,aimed at reducing the total operating costs of the system.By employing a nonlinear complementary approach,the dual-layer game model is transformed into a single-layer optimization problem and validated through case studies.Subsequently,the revenue situations of energy storage under different frequency regulation market operation modes are compared.The results indicate that the participation of shared energy storage in frequency regulation markets is much higher than in energy markets,with the proportion of frequency regulation tasks undertaken reaching as high as 96.7％.Moreover,compared to scenarios where only frequency regulation capacity prices are formed,under a comprehensive price system,the cost recovery period of shared energy storage is shortened by 2 to 3 years,thereby incentivizing the development of energy storage power plants.
Shared Energy StorageSpot MarketBidding StrategyTwo-tier Optimization ModelEnergy MarketFrequency Modulation Auxiliary Service Market
NETL
NSTL
万方数据
