With the proposal of carbon peaking and carbon neutrality targets,vigorously developing renewable energy has become a hot topic,and environmentally friendly energy sources such as wind power and photovoltaic have been rapidly developed.The reform of the electricity market system is gradually deepening,and the participation of renewable energy generation in electricity market transactions has become a trend.However,renewable energy sources such as wind and photovoltaic are intermittent and volatile and will carry high risks in the market.As a flexible dispatching resource,energy storage can effectively combine renewable energy generation to participate in electricity market transactions and help renewable energy generation improve economic benefits.Therefore,this paper proposes research on the operation of energy storage combined with renewable energy generation considering the market mechanism and studies the bidding operational strategy of energy storage combined with renewable energy generation to participate in electricity market transactions.The main work of this paper is as follows:Firstly,the research status of energy storage combined with new energy operations at home and abroad,the construction of the power market,and the business operation mode of energy storage combined with new energy participating in power market transactions are described.Secondly,the bidding scheduling strategy of wind storage participating in electricity market transactions based on co-construction and sharing is proposed.A framework is constructed for wind farms to participate in electricity market transactions through the co-construction of shared energy storage power stations.A two-stage optimization model for multiple wind power and shared energy storage to participate in the spot market is established on the basis of considering the uncertainty of wind power.The first stage aims to maximize the expected revenue of every wind farm in the day-ahead market under multiple scenarios,and the second stage is based on the winning scalar and real-time output of multiple wind farms in the day-ahead market,By coordinating the use of shared energy storage power station charging and discharging services by wind farms,the net revenue of wind farm groups in the dayahead and real-time markets is maximized.Finally,it is verified in an example that the shared energy storage can significantly reduce the deviation penalty of wind farms in the electricity market and improve the income of wind farms.Then,in view of the investment operation and maintenance costs of energy storage,a bidding strategy for a wind-storage-vehicle combined system participating in electricity market transactions based on a cooperative game is proposed.Wind power,energy storage,and electric vehicles participate in the transactions of the electricity market in the form of cooperation,establish a wind-storage-vehicle alliance coordination and optimization model with the goal of maximizing system revenue,determine the bidding strategies of wind power producers,energy storage providers,and electric vehicle aggregators in the energy market and auxiliary service market,and reasonably distribute the benefits of the joint system.Finally,on the basis of the wind-storage-vehicle combined system,the demand response of the load side is added,and the bidding strategy of wind-photovoltaicstorage participating in the electricity market transaction considering the demand response is designed.Considering the demand response of electric vehicles and incentive demand response,a two-level optimal configuration operation model for microgrid participation in power market transactions is constructed.The outer model is the multi-objective optimization configuration of energy storage equipment,taking the investment operation and maintenance costs and energy storage income of the microgrid as the objectives;the inner model is to optimize the operation of the microgrid to participate in the electricity market transactions.Finally,the optimal configuration of energy storage and the optimal operation strategy of the microgrid are analyzed in an example,and the impact of different demand responses on the microgrid is analyzed. |