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    电力市场环境下储能系统参与火电机组深度调峰的经济效益量化研究

    Quantitative Study on Economic Benefits of Energy Storage Systems Participating in Deep Peak Regulation of Thermal Power Units in Electricity Market Environment

    • 摘要: 为了发挥储能系统参与火电机组深度调峰的作用,提高电力市场环境下的火电机组经济效益,建立了火电机组调峰运行的度电成本模型及储能系统参与火电机组深度调峰的经济效益模型。基于该模型,计算分析了3种储能系统(磷酸铁锂电池储能系统、全钒液流电池储能系统、压缩空气储能系统)的经济效益,结果表明:当3种储能系统装机功率为420 MW、深度调峰负荷率为50%、低价电充电价格为0.288元/(kW·h),储能系统在调峰频次与低价电充电频次比值最小时具有最佳经济效益;3种储能系统按经济效益优劣顺序依次为磷酸铁锂电池储能系统、全钒液流电池储能系统、压缩空气储能系统,最佳度电成本分别为0.860、0.921、0.960元/(kW·h),内部收益率分别为27.01%、6.24%、5.40%。

       

      Abstract: In order to leverage the role of energy storage systems in deep peak regulation of thermal power units and improve the economic benefits of thermal power units in the electricity market environment, a cost per kilowatt-hour model for peak regulation operation of thermal power units and an economic benefit model for energy storage systems participating in deep peak regulation of thermal power units have been established.Based on this model, the economic benefits of three energy storage systems (ESSs) (i.e. LiFePO4 battery ESS, vanadium redox flow battery ESS and compressed air ESS) were calculated and analyzed.Results illustrate that, with the installed power of one of the three energy storage systems of 420 MW, the peak regulation depth of 50%, and the low price electricity charging price of 0.288 yuan/(kW·h), the energy storage system has the best economic benefits when the ratio of peak regulation frequency to charging frequency at low electricity price is minimized.The three energy storage systems, in order of economic benefits, are LiFePO4 battery ESS, vanadium flow battery ESS, and compressed air ESS. The corresponding optimal levelized cost of energy (LCOE) for the three systems are respectively 0.860, 0.921, and 0.960 yuan/(kW·h), with internal rates of return of 27.01%, 6.24%, and 5.40%, respectively.

       

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