| At present,the idea of decommissioning power batteries for energy storage system has initially taken shape,its can greatly reduce the investment cost of energy storage and effectively promote the development of energy storage technology while increasing resource utilization rate and relieving the pressure of recovery.Multi-station integration is an important application of the ubiquitous power Internet of things,it also an important content of promoting new digital infrastructure.In view of this,in the multi-station integration scenario,the thesis carries out the research on the optimal capacity allocation of decommissioned power batteries in the energy storage system.The specific research contents are as follows:(1)The internal and external factors affecting the performance of lithium iron phosphate battery are analyzed,and established the energy storage refinement model of lithium iron phosphate battery.By comparing and analyzing the performance parameters of different lithium batteries,the best battery suitable for echelon utilization lithium iron phosphate battery is selected,and the influencing factors and mechanism are analyzed;The refined models of capacity attenuation,life loss and dynamic efficiency of lithium iron phosphate battery were established,and its performance degradation under different operating conditions was analyzed.Through analysis and comparison,it is found that under relatively ideal working conditions,the whole decline process of retired power batteries is relatively slow,and there is no accelerated decline.(2)Bilevel optimal allocation model of energy storage system considering the echelon utilization of retired power batteries in the multi-station fusion scenario is established.Firstly,analyzed the cost and benefit composition of decommissioned power batteries,and established the cost and economic benefit model of echelon battery energy storage system;Then,based on the cost and economic benefit model,established the bilevel optimal allocation model of decommissioned power battery energy storage system considering the refinement model of power battery energy storage.The upper model is the capacity allocation model aiming at the comprehensive net income of echelon battery energy storage system,and the lower model is the optimal operation model aiming at the daily operation income of echelon battery energy storage system.The upper and lower layers restrict each other,the optimal configuration scheme of echelon battery energy storage system is obtained by iterative calculation;Finally,according to the characteristics of the problem and the bilevel optimal allocation model,proposed the solution algorithm of the model.(3)A coordinated and optimized operation strategy considering the echelon utilization of retired power batteries in the multi-station integration scenario is proposed,and the double layer optimal configuration of energy storage system is studied based on the strategy.Firstly,based on the energy interaction in the station and the bilevel optimal allocation model,the station optimization operation strategy and the system double layer optimization process are designed;Then,the optimal allocation scheme is obtained through solution analysis,and analyzed the peak valley spread arbitrage and the income of delaying investment upgrading,which play a major role in economic benefits;Finally,the effectiveness and economy of the lithium iron phosphate battery energy storage refinement model proposed in the thesis are verified by setting different schemes.The results show that: Based on the strategy proposed in the thesis,for the echelon battery energy storage system,considering the economic benefits,peak shaving and valley filling capacity and photovoltaic absorption rate under the energy storage refinement model,it has a significant improvement compared with only considering its capacity attenuation characteristics. |
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