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文章摘要
考虑灵活性资源配置的配电网光伏承载力评估方法
Distributed PV hosting capacity assessment method for distribution networkconsidering planning of flexible resource
Received:September 30, 2024  Revised:October 15, 2024
DOI:10.19753/j.issn1001-1390.2025.02.018
中文关键词: 灵活性资源  光伏承载力  时序相关性  双层模型  智能软开关
英文关键词: flexible resource, PV hosting capacity, time-sequence correlation, bi-level model, soft open point
基金项目:国家自然科学基金项目(52377115);国网北京市电力公司科技项目(520234240004)
Author NameAffiliationE-mail
XU Jiayu State Grid Beijing Electric Power Company ncepuxjy@163.com 
WANG Xiaobing State Grid Beijing Electric Power Company 359595752@126.com 
LI Bing China International Engineering Consulting Corporation libing@ciecc.com.cn 
GU Jingda State Grid Beijing Electric Power Company 393883859@qq.com 
ZHANG Qiushi* School of Electrical Engineering, Sichuan University zhangqiushi@stu.scu.edu.cn 
ZANG Tianlei School of Electrical Engineering, Sichuan University zangtianlei@scu.edu.cn 
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中文摘要:
      在配电网分布式光伏接入容量持续增长的背景下,灵活性资源的合理规划和调用是促进光伏高效消纳的关键。为此,提出一种综合考虑节点型和网络型灵活性配置的配电网光伏承载力评估方法。首先,在传统多场景构建方法基础上,引入时序相关性概念,建立了考虑时序自相关性和互相关性的源荷联合运行场景集。然后,构建了上层光伏承载力评估、下层灵活性资源配置的双层优化模型。上层模型以光伏接入容量最大化为目标,下层模型考虑配电网灵活性运行约束以促进对分布式光伏的高效消纳。通过迭代求解双层模型,最终得到配电网光伏承载力的最大评估结果和灵活性资源的最优配置方案。最后,算例分析表明,节点资源支撑和网络通道支援的相互配合,显著提升了配电网的光伏承载力和运行灵活性。
英文摘要:
      In the context of the continuous growth of distributed photovoltaic(PV) access capacity of the distribution network, the reasonable planning and invocation of flexible resource is the key to promote the efficient absorption of PV. This paper presents an evaluation method of PV hosting capacity of distribution network considering both node type and network type flexible configuration. Firstly, based on the traditional multi-scenario construction method, the concept of time-sequence correlation is introduced establish the joint scenario set of source and load considering time sequence autocorrelation and cross-correlation. Then, the bi-level optimization model of upper PV hosting capacity evaluation and lower flexible resource allocation is constructed. The upper model aims to maximize the PV access capacity, while the lower model considers the flexible operation constraints of the distribution network to promote the efficient absorption of PV. By solving the bi-level model iteratively, the maximum evaluation result of PV hosting capacity and the optimal allocation scheme of flexible resources are obtained. Finally, the simulation analysis shows that the cooperation of node resource and network channel significantly improves the PV hosting capacity and operational flexibility of the distribution network.
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