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Research On The Operating Strategy Of Energy Storage Power Station Based On The Power Market Environment

Posted on:2021-07-21Degree:MasterType:Thesis
Country:ChinaCandidate:S KuangFull Text:PDF
GTID:2492306476955729Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
With the development of traditional energy and environmental protection,the power system is undergoing an unprecedented transformation,a large number of intermittent energy generation,nuclear power generation,clean coal power generation and carbon capture technology will reduce the current power system production and operation flexibility,may lead to power generation infrastructure and grid assets utilization rate.Energy storage technology has become the strategic support for the transformation of energy structure and the transformation of power production and consumption mode in China.Therefore,in the new energy situation,it is the need of energy storage technology to develop energy storage technology at this stage,and also the urgent need of energy and power technology in the new situation.Aiming at the strategy of using energy storage power station in the power market environment,in order to maximize the investment and operating income of energy storage power station as the guide,this paper first studies the economy of the energy storage power station’s participation in the energy and frequency regulation service market under the condition of time of use and real time electricity price,and then uses the oversold operation strategy of aviation and other fields to determine the best strategy when the energy storage power station is oversold,and on this basis studies the wind storage joint operation strategy which considers the parameters of energy storage power.The specific research work is as follows:(1)The summary and performance comparison of conventional energy storage technology are made to determine the energy storage form suitable for energy storage power station.The power model and cost model of energy storage power station are established.(2)The operation strategy of the combined service of the energy storage power station is constructed.First of all,the services that can be provided by energy storage power station and its combination form are analyzed.On the basis of establishing the compensation mechanism to participate in frequency regulation service,we can make full use of the energy storage idle resources to establish the optimization model of energy storage power station participation in energy and frequency regulation service market.Through the example,the combined service operation strategy proposed in this paper under the conditions of timesharing and real-time electricity price is analyzed to help improve the investment economy of energy storage power station.(3)A scenario-based energy storage power station oversold operation strategy model was established.First of all,through the comparison with the aviation industry to study the possibility and feasibility of oversold energy storage,the establishment of scenario-based energy storage power station oversold to determine the model and its risk value analysis.Through the example,the economic effectiveness of oversold operation of energy storage power station is analyzed,and the proposed measures of this strategy for different market subjects are put forward by determining the optimal oversold quantity.(4)A joint wind storage operation strategy for considering energy storage parameter stakes in oversold condition is constructed.On the basis of establishing the joint operation mode of wind storage,the energy storage parameter stakes such as energy storage capacity balance and life loss are introduced,and the optimization model of energy storage tracking power plan contribution and participation in frequency regulation service is constructed based on the conventional operation strategy and oversold operation strategy.
Keywords/Search Tags:Energy storage power station, Electricity market, Frequency regulation service, Oversold operation, Wind-energy storage system
PDF Full Text Request
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