The Combined Wind-storage System Participates In The Electricity Market Bidding Strategy

With the gradual development of the world economy,traditional energy carbon emissions have also steadily increased,leading to global warming,causing a series of environmental pollution problems,and seeking cleaning energy to reduce carbon emissions is a necessary trend.In a series of strong development of new clean energy,wind power as a new energy non-pollution has been widely used and developed.my country has adopted the means of power market-oriented reform,and the new power market has established the new power market,including the medium and long-term market,the spot market,and the auxiliary service market.With the continuous expansion of my country’s power market,the power market is high Requirements are required that the greater randomness and volatility of new energy will face a high margin assessment of the power market.In addition,the renewable energy is gradually moving towards the era of "post-subsidies" and "no subsidy",which requires renewable energy to generate at a parity and bidding access to the Internet,so that renewable energy needs to be bidded to be connected.Return to real value and give play to the important role of the power market to allocate high-quality resources.However,how new energy power stations such as wind farms are involved in the power market and the biggest profit in the power market has become a problem of current research.This article uses electrochemical energy storage and energy storage composition of the wind storage combined system and considers participating in the power spot market at the same time.The market and real-time market bid for a few days ago.First,this paper mainly establishes the model of wind-storage combined power generation system.Firstly,according to the output characteristics of wind power,the wind power output model is obtained based on the Weibull distribution.Due to the uncertainty of wind power,a scenario prediction based on wind power uncertainty is established.Then,the common energy storage devices are introduced,the definition of energy storage SOC is introduced in detail,and the energy storage model is given.Based on the logistic regression function,a maximum output constraint design for energy storage based on SOC feedback is proposed.Finally,the response of the wind storage joint system to the dispatching instruction is analyzed.Second,this paper mainly studies the tracking and scheduling of the wind-storage joint system,and first establishes the allowable deviation zone of the power generation plan through the "Two Detailed Rules",so as to derive the optimization interval of the energy storage power output,consider the output feedback of the energy storage itself SOC,and use the rolling optimization method to solve the optimal output power of energy storage.Third,this paper formulates the clearing strategies of the wind-storage joint system in the day-ahead market and the real-time market.In the day-ahead market,Monte Carlo and hypercube sampling methods are used to make uncertain contributions to wind power output and day-ahead electricity prices,and the strategy of considering benefit deviation and maximum economic benefits is used to formulate day-ahead clearing capacity.In the real-time market,the logistic regression model is used to realize energy storage based on real-time state perception,and the method of rolling optimization is used to formulate the clearing strategy of the real-time market by using the known winning power and wind power output.Finally,the three different wind power scenarios of wind power directly using the forecast value,the maximum bid value and the minimum value of the bid are compared,and the total economic benefit obtained is analyzed by comparing its pre-day market and intraday market.