Research On The Optimization Of Bidding And Scheduling Strategy Of Wind Storage Combined Power Plant Under Spot Market

With the large-scale development of renewable energy represented by wind power,the problem of grid-connected renewable energy consumption is becoming more and more serious;combining the renewable energy consumption problem with the electricity spot market mechanism and using market-based means to promote renewable energy consumption is one of the effective ways to solve the renewable energy consumption problem and its effective way.Due to the uncertainty of renewable energy power plant output,it is impossible to guarantee that the winning bid output is consistent with the actual output when participating in the spot market,lacking market competitiveness.Energy storage equipment has flexible charging and discharging characteristics,and joint power station with renewable energy power plant,can combine the advantages of both sides,can promote the effective consumption of renewable energy.However,the trading strategy of the combined power station at different time scales is not clear.Based on this,this paper takes the joint wind power plant and energy storage equipment as the specific joint power plant research object,and conducts an in-depth study on the joint wind power plant and energy storage equipment to form a joint wind storage power plant to participate in the spot market bidding and scheduling strategy.The main work of this paper is as follows:1)In response to the current problem of unclear strategy of joint power station participation in spot market trading,the bidding and scheduling strategy of full-scale participation in spot market for joint wind-storage power station is proposed.Firstly,through an in-depth summary and analysis of theories related to electricity spot market trading,then discusses the spot market,wind power plants and the operating characteristics of energy storage equipment,combines the output characteristics of wind power plants and energy storage equipment to constitute joint wind-storage power plants,and studies their operating modes;based on this,a framework for joint wind-storage power plants to participate in spot market bidding and scheduling transactions is established,and the joint wind-storage power plants Based on this,a framework for joint wind-storage power plants to participate in spot market bidding and scheduling transactions is established,and the mechanism for joint windstorage power plants to participate in spot market transactions is studied and analyzed.2)For modeling the dual uncertainty of wind power output and spot price in the fullscale market,a scenario-based robust optimization approach is proposed to model the dual uncertainty in the full-scale market,and a scenario-based stochastic optimization approach is used to model the dual uncertainty in the day-ahead market;in the real-time market,due to the high computational speed requirements and the need to ensure the security of system operation,market participants will adopt a relatively conservative strategy for scheduling.In the real-time market,due to the high computational speed and the need to ensure the security of system operation,market participants will adopt a relatively conservative strategy for scheduling,so the robust optimization method is used to model the double uncertainty.The above modeling methods solve the uncertainty problem at different time scales.3)It is established for the day-ahead bidding strategy model considering conditional value at risk(CVa R).In order to regulate the day-ahead bidding behavior of wind storage joint power plants,it is constructed for the day-ahead bidding deviation penalty model;considering the uncertainty of wind power output and spot price will bring risks to the wind storage joint power plant revenue,the conditional value at risk theory is introduced,and the conditional value at risk constraint is constructed to measure the risk aversion of wind storage joint power plant revenue;based on the above study,it is constructed for the objective function of maximizing the expected day-ahead full-scale revenue.The model is simulated using the PJM market data to verify the validity of the model;it is analyzed for the impact of the double uncertainty of different risk appetite coefficients,wind power output and spot price on the expected full-scale return of the combined wind storage power plant.4)It is established for the robust optimization-based real-time scheduling strategy model for wind-storage combined power plants.In order to improve the real-time revenue of windstorage combined power plant,the objective function of maximizing real-time market revenue is constructed based on the results of the previous day’s bidding strategy optimization and using the idea of rolling optimization;considering that the proposed model is a two-layer robust model which is difficult to solve directly,the strong dyadic theory is introduced to transform the two-layer robust model into a single-layer robust model,and then the particle swarm algorithm is used to solve it.Simulation analysis is conducted using PJM market data to verify the effectiveness of the proposed strategic model;it is analyzed for the impact of the robust control coefficients of wind power forecast error,wind power output and spot power price on the real-time revenue of wind-storage combined power plant.