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考虑有功不确定性的配电网新能源无功优化控制

张静忠 蒙飞 孙阳 于慧霞

中国电力2024,Vol.57Issue(3):51-59,9.
中国电力2024,Vol.57Issue(3):51-59,9.DOI:10.11930/j.issn.1004-9649.202310053

考虑有功不确定性的配电网新能源无功优化控制

Reactive Power Optimization Control for Renewable Energy in Distribution Networks Considering Active Power Uncertainties

张静忠 1蒙飞 1孙阳 1于慧霞2

作者信息

  • 1. 国网宁夏电力有限公司调度控制中心,宁夏银川 750001
  • 2. 国家计算机网络与信息安全管理中心宁夏分中心,宁夏银川 750001
  • 折叠

摘要

Abstract

A dual-layer robust optimization control method based on the droop principle of reactive power and voltage is proposed for renewable energy in distribution networks,considering active power uncertainties.First,in the reference-point optimization layer,the typical control quantities that affect the reactive power distribution in the power system are optimized with the objective of minimizing the overall cost over the multi-period,such as the static reactive power compensation devices,the coordinated control instructions of voltage regulating transformers,and the reactive power and port voltage reference values for renewable energy.Secondly,in the slope optimization layer,based on the column-and-constraint generation(C&CG)algorithm framework,the main problem model of slope instruction optimization and the sub-problem model of extreme scenarios set filtering are established.The results demonstrate that the proposed optimization control method can not only effectively adapt to the random fluctuations of renewable energy generation output but also maximize the utilization of reactive power capacity of grid-connected converters.It can optimize the system network losses and the operational cost of voltage regulation devices and enhance the operation reliability of power systems.

关键词

双层列生成/电压调控/鲁棒优化/下垂控制

Key words

column-and-constraint generation/voltage regulation/robust optimization/droop control

引用本文复制引用

张静忠,蒙飞,孙阳,于慧霞..考虑有功不确定性的配电网新能源无功优化控制[J].中国电力,2024,57(3):51-59,9.

基金项目

宁夏回族自治区自然科学基金项目(2023AAC03830). This work is supported by Natural Science Foundation of Ningxia Hui Autonomous Region(No.2023AAC03830). (2023AAC03830)

中国电力

OA北大核心CSTPCD

1004-9649

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