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Research On Bidding Strategy Of Photovoltaic Storage Union Power Station Participating In Power Market

Posted on:2024-03-07Degree:MasterType:Thesis
Country:ChinaCandidate:F J ZhaoFull Text:PDF
GTID:2542307115956349Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
Since the Central Committee of the Communist Party of China and The State Council issued Several Opinions on Further Deepening the Reform of the Electric Power System in March 2015,various localities have actively explored the design of the electric power market and gradually improved the trading rules of the electric power market.In the past few years after the double carbon goal was proposed,the installed capacity of new energy has increased rapidly under the guidance of the policy.It is not only conducive to the sustainable and healthy development of green energy,but also crucial to the safe and stable operation of power grid.Therefore,this paper considers the participation of optical storage joint power stations in the electricity market from two aspects: medium and long term transaction coordinated with the spot market and full capacity participation in the day-ahead power spot market.The main research contents are as follows:Firstly,this paper introduces the power market trading system of our country from four aspects: medium and long term power trading market,day-ahead spot trading market,real time trading market and auxiliary service trading market.This paper discusses the development of green card trading,green electricity trading and carbon trading in our country.Secondly,the topology of photovoltaic storage union power station and the basic framework of bidding to power dispatching,trading center and carbon trading center are analyzed,the operation mode and control strategy of the combined optical storage system are analyzed,the uncertainty of photovoltaic output prediction is modeled,and the mathematical model of energy storage battery is built.Thirdly,the paper studies the medium and long term trading strategy adopted by the joint optical storage power station in coordination with spot trading.In this paper,two kinds of power market models are established respectively,which take the maximum total revenue of power energy trading and green certificate trading in the medium and long term and dayahead power market as the objective function.Two typical scenarios of photovoltaic normal output and under-output in a combined optical storage power station are designed,and the influence of different market models in different output scenarios on the revenue of a combined optical storage power station is explored.The results show that the deviation between the PV output curve of the operation day and the planned output curve is small,and the two market modes have little influence on the revenue of the combined optical storage power station.Based on the characteristics of financial settlement,centralized market contracts for difference provide a better guarantee for the income of the combined photovoltaic power station when the photovoltaic power output on the operating day is insufficient or even far less than the planned output before the day.Lastly,this paper studies the participation of combined light-storage power plants in the day-ahead power market.On the basis of considering the revenue of carbon emission reduction,the mathematical model of the objective function with the maximum sum of the revenue of the combined power station in the energy market,the auxiliary service market and the carbon trading market is established.The improved dynamic programming algorithm is used to solve the problem and obtain the optimal power declaration result of the combined power station participating in the day-ahead power market.The results of the example show that adopting the combined bidding method of light storage and participating in the electricity market and carbon trading market at the same time can promote the consumption of photovoltaic power and improve the income level of the power station.
Keywords/Search Tags:photovoltaic storage union power station, electricity market, carbon emission reduction, model of income
PDF Full Text Request
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