| 基于柔性互联技术的含高渗透率新能源配电网多目标优化运行 |
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| 引用本文： | 张涛,,霍然,刘景,李逸鸿,霍黎明.基于柔性互联技术的含高渗透率新能源配电网多目标优化运行[J].陕西电力,2021,0(9):1-7,55. |
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| 作者姓名： | 张涛 霍然 刘景 李逸鸿 霍黎明 |
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| 作者单位： | （1. 三峡大学 电气与新能源学院，湖北 宜昌 443002； 2. 智慧能源技术湖北省工程研究中心（三峡大学），湖北 宜昌 443002； 3. 河北科技大学 电气工程学院，河北 石家庄 050000） |
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| 摘 要： | 智能软开关（SOP）可控制潮流、提供无功补偿，进而改善配电网电压、降低网损。因此，针对可再生能源大规模接入配电网后电能质量下降问题，采用K-means算法构建风-光典型场景，同时建立了基于SOP、可投切电容器的含高渗透率分布式电源的主动配电网优化运行模型。该模型以电压偏差、系统网损最小以及系统运行成本最低为目标，综合考虑了能源利用率及系统运行稳定性。最后利用基于参考点的非支配排序方法的多目标优化算法（NSGA-III）进行求解，输出Pareto最优解集，并采用改进的IEEE 33节点系统对所建立模型的有效性进行了验证。
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| 关 键 词： | 柔性互联技术 场景分析法 配电网 优化运行 可再生能源 高渗透率 |
Multi-objective Optimal Operation of Distribution Network With High Penetration of New Energy Based on Flexible Interconnection Technology |
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| ZHANG Tao,,HUO Ran,LIU Jing,LI Yihong,HUO Liming.Multi-objective Optimal Operation of Distribution Network With High Penetration of New Energy Based on Flexible Interconnection Technology[J].Shanxi Electric Power,2021,0(9):1-7,55. |
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| Authors: | ZHANG Tao HUO Ran LIU Jing LI Yihong HUO Liming |
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| Affiliation: | （1. College of Electrical Engineering and New Energy，China Three Gorges University，Yichang 443002，China；2. Hubei Provincial Engineering Research Center of Intelligent Energy Technology， China Three Gorges University，Yichang 443002， China；3. School of Electrical Engineering， Hebei University of Science and Technology，Shijiazhuang 050000，China） |
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| Abstract: | Soft open point （SOP） can control the power flow， provide reactive compensation， improve the distribution voltage and reduce network loss. Therefore， in view of the problem of power quality decline after large-scale access to the distribution network of renewable energy， the K-means algorithm is used to construct a typical wind-optic scenario， and an optimal operation model of active distribution network with high permeability distributed power supply based on intelligent soft switch and switching capacitor is established. The model aims at the minimum voltage deviation， the minimum loss of the system network and the lowest operating cost of the system. The energy utilization rate and the system operation stability are considered comprehensively. Finally， the multi-objective optimization algorithm （NSGA-III） based on the non-dominant ranking method of reference point is used to solve the solution and output Pareto optimal solution set. The improved IEEE 33 node system is used to obtain the model validation of effectiveness. |
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| Keywords: | flexible interconnection technology scenario analysis method distribution network optimal operation renewable energy high permeability |
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