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Research On Trading Strategies For Pumped Storage Power Plants Under The Electricity Market

Posted on:2024-01-07Degree:MasterType:Thesis
Country:ChinaCandidate:J ShenFull Text:PDF
GTID:2542306941467994Subject:Master of Energy and Power (Professional Degree)
Abstract/Summary:PDF Full Text Request
The important way to achieve the goal of "carbon neutral and carbon peak" is to build a clean,low-carbon,safe and efficient modern energy system and a new power system with new energy as the mainstay.Since new energy is characterized by randomness and volatility,flexible resources and energy storage must be implemented to enhance the regulating ability of the power grid,ensuring new energy consumption and the safe and stable operation of power grid.Pumped storage power station is an indispensable regulating resource for power system because of its flexible operation,mature technology,economic and environmental advantages.In the process of power market reform,pumped storage power plants operate in a single form and face difficulties in cost recovery,and their efficient market-oriented operation strategies need to be studied in depth.In this paper,according to the development requirements in the Medium and Long-term Development Plan of Pumped Storage Energy(2021-2035),independent pumped storage power plants in the electricity market are taken as the research object,and the value of pumped storage power plants in the power market is improved by adopting an effective market-based trading strategy to give full play to the support role of pumped storage power plants in multiple scenarios of application to the power system.The main research elements are as follows:First,based on the operational characteristics and cost-benefit analysis of pumped storage power plants,we clarify the functional positioning of pumped storage power plants in the new power system with new energy as the mainstay,analyze the marketoriented operation mechanism of pumped storage power plants,elaborate the market model,declaration mechanism,clearing mechanism and settlement mechanism of the current power market.The bidding model of pumped storage power plants participating in the market in self-dispatching mode and full-dispatching mode under the spot market is established,and the trading strategies and revenue of pumped storage operators under the two modes are analyzed with examples.Secondly,a scenario-based stochastic programming approach is used to model the optimal trading strategy of pumped storage operators in the day-ahead market,introduce Conditional Value at Risk(CVaR)to measure the risk caused by market uncertainty,and establish a joint bidding model for pumped storage participation in the electricity and auxiliary services markets considering CVaR to explore how pumped storage can adopt risk management measures to insure the revenue level.The feasibility and effectiveness of the proposed strategy to hedge market risks and guarantee the pumped storage returns are verified by discussing the optimal trading strategy for pumped storage operators under different market prices and risk appetites with the analysis of examples.Finally,the optimal trading strategy for the provision of transmission services under the mixed-asset model of pumped storage units is explored,and the adaptive deviation penalty real-time optimization model for the provision of TCR(Transmission Congestion Relief)services by pumped storage is proposed with the maximum contribution of market revenue and transmission congestion relief as the objective function.The example verifies that the proposed model can effectively improve the contribution of pumped storage in relieving congestion and guaranteeing the safe and stable operation of the grid,analyzes the impact of penalty factor on the trading strategy and revenue of pumped storage operators,and suggests a reasonable compensation for pumped storage to provide TCR services,which provides more room for development of commercial operation of pumped storage.
Keywords/Search Tags:pumped storage power station, electricity market, trading strategy, CVaR, transmission congestion
PDF Full Text Request
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