引用本文:朱丹丹,周 前,贾勇勇,等.“规划-运行”融合框架下基于“源-荷”多时序联合场景的新型配电系统无功资源优化配置[J].电力系统保护与控制,2023,51(20):62-78.
ZHU Dandan,ZHOU Qian,JIA Yongyong,et al.Optimal allocation of reactive power resources in a new distribution system based on the “source-load” multi-sequence scenario in a “planning-operation” fusion framework[J].Power System Protection and Control,2023,51(20):62-78
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“规划-运行”融合框架下基于“源-荷”多时序联合场景的新型配电系统无功资源优化配置
朱丹丹1,周 前1,贾勇勇1,刘 方2,朱东方2,高国栋2,陆荣欣2
1.国网江苏省电力公司电力科学研究院,江苏 南京 211100;2.上海电力大学电气工程学院,上海 200090
摘要:
新型配电系统(new distribution system, NDS)“源-荷”多时序不确定性、无功设备稳态/动态多样性,决定了无功配置与运行调节需要联合优化。对此,基于“规划-运行”融合框架开展NDS“源-荷”多时序联合场景下的无功资源优化配置研究。首先,基于NDS新形态发展趋势,构建融合大数据分析、多时域运行模拟、综合效益评估的“规划-运行”联合优化框架。然后,基于电容器稳态和DSTATCOM动态无功设备运行特性分析,顺序优化选址定容。基于K-means聚类方法构建“源-荷”多尺度联合时序场景,通过稳态/动态无功设备协调配合深层次挖掘多尺度调节资源,实现NDS分级无功平衡下运行模拟分析。建立NDS无功“规划-运行”评价指标体系开展全环节综合效益评估。最后,以IEEE33节点配网系统为例,开展无功“规划-运行”联合优化仿真分析。结果表明,所提模型具有自适应“源-荷”不确定性多时序联合场景的能力,内嵌多时域运行模拟的规划方案更加全面和贴近实际。
关键词:  新型配电系统  规划运行  无功调节  多时序场景  分布式可再生能源
DOI:10.19783/j.cnki.pspc.230403
分类号:
基金项目:国家自然科学基金项目资助(52207121);国网江苏省电力有限公司科技项目资助“大规模分布式新能源计入电网侧无功配置及电压协调运行技术研究”(J2022052)
Optimal allocation of reactive power resources in a new distribution system based on the “source-load” multi-sequence scenario in a “planning-operation” fusion framework
ZHU Dandan1, ZHOU Qian1, JIA Yongyong1, LIU Fang2, ZHU Dongfang2, GAO Guodong2, LU Rongxin2
1. State Grid Jiangsu Electric Power Company Electric Power Research Institute, Nanjing 211100, China; 2. School of Electrical Engineering, Shanghai Electric Power University, Shanghai 200090, China
Abstract:
“Source-load” multiple timing uncertainties and the steady-state/dynamic diversity of reactive power equipment in a new type of distribution system (NDS) determine the need for joint optimization of reactive power allocation and operational regulation. Therefore, based on the “planning-operation” fusion framework, research on optimal allocation of reactive power resources in the “source-load” multi timing joint scenario of NDS is carried out. First, based on the development trend of new forms of NDS, a “planning-operation” joint optimization framework integrating big data analysis, multi time domain operation simulation, and comprehensive benefit evaluation is constructed. Then, based on capacitor steady-state and DSTATCOM dynamic reactive power equipment operation characteristics analysis, sequential optimization of location and capacity is determined. A “source-load” multi-scale joint timing scenario is constructed based on the K-means clustering method, and simulation analysis of NDS operation is achieved in hierarchical reactive power balance through coordination of steady-state/dynamic reactive power devices and deep mining of multi-scale adjustment resources. An NDS reactive power “planning-operation” evaluation index system is established to conduct comprehensive benefit evaluation of the entire process. Finally, taking the IEEE33-bus distribution network system as an example, a reactive power “planning-operation” joint optimization simulation analysis is conducted. The results show that the proposed model has the ability to adapt to the "source-load" uncertainty and multiple timing joint scenarios, and the planning scheme with embedded multi time domain operation simulation is more comprehensive and practical.
Key words:  new distribution system  planned operation  reactive power regulation  multi-timing scenario  distributed renewable energy
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