基于灵敏度聚类的含DG配电网电压分区控制方法
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TM761

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国家自然科学基金(52007009);湖南省自然科技基金项目(2020JJ5574);湖南省教育厅优秀青年项目(19B003)


Voltage partition control method for distribution network with DG based on sensitivity clustering
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    摘要:

    高比例分布式电源接入配电网易导致电压波动甚至越限,同时增加系统网络损耗。为增大配电网安全裕度,提高供电可靠性,提出基于灵敏度聚类的含DG配电网电压分区控制方法。利用潮流分析得到雅可比矩阵,计算各节点电压对DG出力的灵敏度,得到DG无功电压控制空间矩阵,采用K-means算法聚类,实现DG自适应分区,以灵敏度和分区结果作为调节DG和无功设备出力的依据。所提方法能针对系统电压薄弱点进行定向补偿,实现分布式电源的分区调节。最后采用IEEE 33节点系统作为算例,结果表明该电压控制方法能有效提升系统电压水平,提高电能质量。

    Abstract:

    A high proportion of distributed generations are connected to the distribution network, which can easily lead to voltage fluctuations and even voltage limit violations, and increase system network losses at the same time. To increase the safety margin of the distribution network and improve the reliability of power supply, this paper proposes a voltage partition control method for the distribution network with DG based on sensitivity clustering. First, power flow calculation is conducted to obtain the Jacobian matrix. Then, calculate the sensitivity of the voltage of each node to the output of the distributed generation, through which the reactive power voltage control space matrix of the DG can be obtained. Then clustering is performed by the K-means algorithm to obtain DG adaptive partition. Finally, according to the sensitivity and partition results, the output of DG and reactive power equipment is adjusted for voltage regulation. Voltage control of this method can perform directional compensation for the weak points of the system voltage, and realize the divisional adjustment of distributed generations. Finally, the IEEE 33-node system is used as an example, and the results show that the voltage control method can effectively improve the system voltage level and improve the power quality.

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郭沛,王利利,李锰,等.基于灵敏度聚类的含DG配电网电压分区控制方法[J].电力科学与技术学报,2022,37(6):100-107.
GUO Pei, WANG Lili, LI Meng, et al. Voltage partition control method for distribution network with DG based on sensitivity clustering[J]. Journal of Electric Power Science and Technology,2022,37(6):100-107.

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  • 在线发布日期: 2023-01-16
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