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基于时序生产模拟的需求侧响应促进新能源消纳量化分析

Quantitative analysis of renewable energy consumption promoted by demand-side re⁃ sponse based on time-series production simulation
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摘要 高比例新能源接入导致电力系统对灵活性资源的需求日益迫切,需求侧灵活性资源重要性凸显。现有的需求侧响应研究多针对尖峰负荷问题,对需求侧响应资源促进新能源消纳的量化研究不足。针对这一问题,首先建立多类型需求侧单体灵活性资源调节模型;其次,分析需求侧单体灵活性资源调节特性,建立海量需求侧单体灵活性资源聚合调节模型;然后,构建基于时序生产模拟的需求侧响应促进新能源消纳量化分析模型;最后,以省级电网为算例开展仿真研究,分析多类型需求侧响应对新能源消纳的改善效果。结果表明,可平移负荷、可转移负荷均可改善新能源消纳能力。 The integration of high proportions of renewable energy into power systems has led to an increasing de⁃mand for flexible resources,highlighting the importance of flexible resources on demand side.Current research on demand-side response primarily focuses on peak load and lacks quantitative analysis on how demand-side response resources can enhance renewable energy consumption.To address this gap,this paper first develops a regulation model for various flexible single resources on demand side.Subsequently,it analyzes the regulation characteristics of single flexible resources and establishes an aggregation regulation model for a large number of these resources.The paper then constructs a quantitative analysis model of renewable energy consumption promoted by demand-side response based on time-series production simulation.Finally,it conducts a simulation study using a provincial power grid as a case study to analyze the impact of various types of demand-side response on improving renewable energy consumption.The results show that both shiftable load(SL)and transferable load(TL)can help enhance re⁃newable energy consumption.
作者 傅铮 王峰 王若宇 吴昊亮 李海波 张蕾 FU Zheng;WANG Feng;WANG Ruoyu;WU Haoliang;LI Haibo;ZHANG Lei(Gansu Electric Power Trading Center Co.,Ltd.,Lanzhou 730000,China;Sichuan Energy Internet Research Institute,Tsinghua University,Chengdu 610213,China)
出处 《浙江电力》 2024年第9期39-48,共10页 Zhejiang Electric Power
基金 甘肃电力咨询项目(B7272223XT8200M2400000) 甘肃省科技重大专项计划(22ZD6GA032) 国网甘肃省电力公司经济技术研究院管理咨询项目(SGGSJY00XXWT2310040)。
关键词 需求侧响应 新能源消纳 可平移负荷 可转移负荷 可削减负荷 时序生产模拟 demand-side response new energy consumption SL TL curtailable load time-series production simulation
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