引用本文: | 谢 锋,刘丽军,林儒显,陈俊生,郑文迪.一种考虑风险厌恶程度与阻塞抵抗性的配电网阻塞管理方法[J].电力系统保护与控制,2022,50(19):107-118.[点击复制] |
XIE Feng,LIU Lijun,LIN Ruxian,CHEN Junsheng,ZHENG Wendi.A distribution network congestion management method considering riskaversion and congestion resistance[J].Power System Protection and Control,2022,50(19):107-118[点击复制] |
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摘要: |
为评估大规模分布式可再生能源发电和灵活性负荷的不确定性对配电网线路阻塞的影响,基于效用理论和灵活性能力提出了一种计及不同程度越限风险的厌恶程度和置信区间外潜在阻塞风险抵御能力的配电网阻塞调度管理方法。综合配电线路阻塞概率、阻塞严重程度和风险厌恶程度三方面要素构建阻塞风险评估模型。以阻塞线路功率传输方向定义线路阻塞类型,分区域考虑线路阻塞造成的实际影响,在置信区间外以燃气轮机、储能系统和可中断负荷的灵活性供给能力对潜在阻塞风险的应对程度反映系统的阻塞抵抗性水平。以配电系统网损体现配电网的经济效益,以虚拟电厂收益呈现分布式发电的规模化效益。由此构建配电系统安全经济调度的多目标优化模型。最后,基于IEEE33节点系统对所提模型进行分析与验证。结果表明基于该方法生成的日前调度计划在兼顾经济效益的同时,可有效降低系统阻塞风险并增强对潜在阻塞风险的抵御能力。 |
关键词: 分布式发电 风险厌恶 线路阻塞 阻塞抵抗性 日前调度 |
DOI:DOI:?10.19783/j.cnki.pspc.211701 |
投稿时间:2021-12-14修订日期:2022-02-26 |
基金项目:福建省自然科学基金项目资助(2017J01480) |
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A distribution network congestion management method considering riskaversion and congestion resistance |
XIE Feng,LIU Lijun,LIN Ruxian,CHEN Junsheng,ZHENG Wendi |
((College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108, China)) |
Abstract: |
To evaluate the impact of the uncertainty of large-scale renewable distributed generation and flexible load on distribution network line congestion, a scheduling management method considering the aversion of different degrees of out of limit risk and the resistance to potential congestion risk outside the confidence interval is proposed based on utility theory and flexibility. The congestion risk assessment model is constructed by integrating the three factors of distribution line congestion probability, congestion severity and risk aversion. The line blocking type is defined by the power transmission direction of the blocking line. The actual impact caused by line blocking is considered in different regions, and the blocking resistance level of the system is reflected in the response degree of the flexible supply capacity of the gas turbine, the energy storage system and the interruptible load to the potential blocking risk outside the confidence interval. The economic benefits of the distribution network are reflected by the network loss of the distribution system, and the scale benefits of distributed generation are presented by the benefits of virtual power plants. A multi-objective optimization model for safe and economic dispatching of the distribution system is constructed. Finally, based on the analysis and verification of the proposed model based on the IEEE33 node system. The results show that the day ahead scheduling scheme based on this method can effectively reduce system congestion risk and enhance the ability to resist potential congestion risk while taking account of economic benefits.
This work is supported by the Natural Science Foundation of Fujian Province (No. 2017J01480). |
Key words: distributed generation risk aversion line blocking blocking resistance day-ahead scheduling |