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提升新能源承载能力的抽水蓄能容量配置研究

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考虑区域电网可靠性和安全性指标,提出了提升新能源承载能力的抽水蓄能容量配置方法.首先,分析风电场、光伏电站实测出力数据,采用Copula理论和K-means聚类生成了考虑风光相关性的典型出力场景.其次,建立了提升区域电网新能源承载能力的抽水蓄能容量配置模型,以失负荷概率和电量不足期望指标为约束,基于风光典型出力场景评价区域电网的最大新能源承载能力,结合抽水蓄能运行模型,通过配置抽水蓄能最小装机容量提升新能源承载能力.最后,以电压越限风险和潮流越限风险指标作为安全性校验,采用概率潮流分析区域电网的运行风险.改进IEEE-39节点系统算例分析结果表明,配置抽水蓄能将可承载新能源的装机容量占比提升至64%.
Research on Capacity Configuration of Pumped Storage to Improve the Carrying Capacity of New Energy
Considering the reliability and safety indexes of the regional power grid,a capacity configuration method of pumped storage to improve the carrying capacity of new energy is proposed.Firstly,the measured output data of wind farms and photovoltaic power stations are analyzed.Copula theory and K-means clustering generate typical output scenarios considering the correlation between wind power and photovoltaic generation.Secondly,a capacity configuration model of pumped storage for improving the new energy-carrying capacity of the regional grid is established.With the constraints of loss of load probability and expected energy not supplied index,the regional grid's maximum new energy carrying capacity is evaluated based on typical wind and photovoltaic output scenarios.Combined with the pumped storage operation model,the new energy-carrying capacity is improved by configuring the minimum installed capacity of pumped storage.Finally,the voltage over-limit risk and the power flow over-limit risk index are used as the safety check,and the probabilistic power flow is used to analyze the operation risk of the regional grid.The analysis results of the improved IEEE-39 node system show that the proportion of new energy-carrying capacity can be increased to 64%by configuring pumped storage.

new energy carrying capacitypumped storagereliabilitysafetycapacity configurationprobabilistic power flow

梁振锋、李召、彭书涛、张娉、王晓卫

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西安理工大学电气工程学院,陕西省西安市 710054

国网陕西省电力有限公司电力科学研究院,陕西省 西安市 710100

中国电建集团西北勘测设计研究院有限公司,陕西省西安市 710065

新能源承载能力 抽水蓄能 可靠性 安全性 容量配置 概率潮流

国家自然科学基金项目国网陕西省电力有限公司科技项目

521771145226KY22000M

2024

电网技术
国家电网公司

电网技术

CSTPCD北大核心
影响因子:2.821
ISSN:1000-3673
年,卷(期):2024.48(10)
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