首页|Dynamic Setting Method of Assessment Indicators for Power Curves of Renewable Energy Sources Considering Scarcity of Reserve Resources

Dynamic Setting Method of Assessment Indicators for Power Curves of Renewable Energy Sources Considering Scarcity of Reserve Resources

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With the increasing proportion of renewable ener-gy sources(RESs)in power grid,the reserve resource(RR)scarcity for correcting power deviation of RESs has become a potential issue.Consequently,the power curve of RES needs to be more rigorously assessed.The RR scarcity varies during dif-ferent time periods,so the values of assessment indicators should be dynamically adjusted.The assessment indicators in this paper include two aspects,i.e.,deviation exemption ratio and penalty price.Firstly,this paper proposes a method for dy-namically calculating the supply capacity and RR cost,primari-ly taking into account the operating status of thermal units,forecast information of RES,and load curve.Secondly,after clarifying the logical relationship between the degree of RR scarcity and the values of assessment indicators,this paper es-tablishes a mapping function between them.Based on this map-ping function,a dynamic setting method for assessment indica-tors is proposed.In the future,RES will generally be equipped with battery energy storage systems(BESSs).Reasonably utiliz-ing BESSs to reduce the power deviation of RESs can increase the expected income of RESs.Therefore,this paper proposes a power curve optimization strategy for RESs considering self-owned BESSs.The case study demonstrates that the dynamic setting method of assessment indicators can increase the reve-nue of RESs while ensuring that the penalty fees paid by RESs to the grid are sufficient to cover the RR costs.Additionally,the power curve optimization strategy can help RESs further in-crease income and fully utilize BESSs to reduce power devia-tion.

Renewable energybattery energy storage sys-tem(BESS)power curve assessmentreserve serviceparame-ter setting

Minghao Cao、Jilai Yu

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Department of Electri-cal Engineering,Harbin Institute of Technology,Harbin,China

National Natural Science Foundation of China

51877049

2024

现代电力系统与清洁能源学报(英文版)

现代电力系统与清洁能源学报(英文版)

ISSN:
年,卷(期):2024.12(1)
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