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Research On The Income Distribution Method Under The Combined Operation Mode Of Wind Power And Pumping Storage

Posted on:2024-04-24Degree:MasterType:Thesis
Country:ChinaCandidate:M Q WangFull Text:PDF
GTID:2542307064972609Subject:Technical Economics and Management
Abstract/Summary:PDF Full Text Request
China is currently in a critical period of green and low-carbon energy transformation,with the large-scale and high proportion of renewable energy represented by wind and solar energy,and the demand for regulated power sources is becoming increasingly urgent.As a representative largescale regulated power source,pumped storage power plants can effectively alleviate the reverse peak regulation and fluctuation of wind power output,ensuring the safe,stable and economic operation of the power system.At present,China’s policies for the development of pumped storage power stations are still in the stage of gradual improvement,and pumped storage power stations still face problems such as incomplete price formation mechanisms and inability to recover construction costs.Among them,issues such as unclear cooperation methods between pumped storage power stations and new energy,and unreasonable income distribution are particularly prominent.Therefore,the revenue allocation method between renewable energy and pumped storage power stations urgently needs in-depth research.Firstly,this article conducts an economic analysis of the benefits and costs between wind power and pumped storage,with the goal of maximizing the benefits of wind power pumped storage joint operation.Considering the wind power abandonment situation,the operating characteristics of pumped storage power stations,and the constraints of trading entities,a wind power pumped storage joint optimization operation model is established.Secondly,based on actual data from a certain region in Northeast China,a case study was conducted to analyze the wind power consumption effect and economic benefits of whether pumped storage power stations participate in regulation during system operation.The contribution of pumped storage power stations to wind power consumption during system operation was quantified.The results indicate that under the combined operation mode of wind power and pumped storage power stations,the wind abandonment rate is significantly reduced,and the system economic benefits are significantly improved,further supporting the necessity and economy of wind power equipped with pumped storage power stations.Finally,based on wind power consumption and green card revenue,a contribution index system for pumped storage power stations is established,and a revenue allocation model considering the contribution of pumped storage power stations is proposed.Through example analysis,it can be seen that the contribution based wind power pumping and storage income distribution model can improve the economic benefits of each entity,ensure the fairness and rationality of distribution,and maintain the stability of cooperation,providing theoretical support for further improving the pricing policy and service compensation mechanism of pumped storage power stations in the future.This article considers the development experience of mature pumping and storage projects in foreign countries and proposes a contribution based wind power pumping and storage income distribution method.It provides policy recommendations for China to develop a pumping and storage power station income distribution mechanism,which is conducive to incentivizing pumped storage power stations to fully leverage their comprehensive benefits in the power system and fully quantify the contribution of pumped storage power stations to wind power consumption.Through market orientation,the role of pumped storage power plants in the power system can be fully released,which is conducive to the realization of the goal of carbon peaking and carbon neutrality.
Keywords/Search Tags:Pumped Storage Power Station, Wind Power Absorption, Income Distribution Method, Contribution, Tradable Green Certificate, Carbon Emission
PDF Full Text Request
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