| 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.[点击复制] |
| 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[点击复制] |
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| 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 |
| 投稿时间：2023-04-13修订日期：2023-06-14 |
| 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) |
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| 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 |
