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计及风电频率支撑能力和运行风险的鲁棒机组组合模型

谭洪 陈嘉迅 王秋杰 陈涛 李振兴 翁汉琍

电力系统保护与控制2025,Vol.53Issue(4):96-107,12.
电力系统保护与控制2025,Vol.53Issue(4):96-107,12.DOI:10.19783/j.cnki.pspc.240515

计及风电频率支撑能力和运行风险的鲁棒机组组合模型

A robust unit commitment model considering wind power frequency support capability and operational risk

谭洪 1陈嘉迅 2王秋杰 1陈涛 3李振兴 1翁汉琍1

作者信息

  • 1. 新能源微电网湖北省协同创新中心(三峡大学),湖北 宜昌 443002||三峡大学电气与新能源学院,湖北 宜昌 443002
  • 2. 三峡大学电气与新能源学院,湖北 宜昌 443002
  • 3. 东南大学电气工程学院,江苏 南京 210018
  • 折叠

摘要

Abstract

The large-scale integration of wind power into the grid has led to a reduction in power system inertia and frequency response resources,highlighting frequency security issues under large disturbances.To address the challenges of wind power uncertainty and the reduced system inertia,a robust unit commitment(UC)model considering wind power frequency support capability and operational risk is proposed.First,a frequency security operational constraint model is established through the dynamic swing equation of frequency deviation after active power,and is embedded into the UC problem.Secondly,considering the uncertainty of wind power output,a robust feasible range definition for wind power output is proposed to characterize the safe operating range of the system's wind power acceptance,and based on this,a system operational risk model is proposed.Finally,based on two-stage robust optimization theory,a robust optimization model for UC considering wind power frequency support capability and operational risk is proposed,and the column and constraint generation(C&CG)algorithm is used to solve the model.The effectiveness of the proposed model is verified through simulations conducted on the IEEE 9-bus and 118-bus testing systems.

关键词

风电频率支撑能力/运行风险/机组组合/风电不确定性/鲁棒可行域

Key words

wind power frequency support capability/operational risk/unit commitment/uncertainty of wind power/robust feasible region

引用本文复制引用

谭洪,陈嘉迅,王秋杰,陈涛,李振兴,翁汉琍..计及风电频率支撑能力和运行风险的鲁棒机组组合模型[J].电力系统保护与控制,2025,53(4):96-107,12.

基金项目

This work is supported by the National Natural Science Foundation of China(No.52307109). 国家自然科学基金项目资助(52307109) (No.52307109)

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