基于模糊下垂控制的VSC-HVDC交直流系统潮流计算方法
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(国网江西省电力有限公司电力科学研究院,江西 南昌 330096)

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徐经民(1994—),男,硕士,研究方向为电力系统经济运行及配电自动化技术;E-mail:550483499@qq.com
徐在德(1984—),男,硕士,高级工程师,研究方向为新能源并网控制技术。E-mail:357785024@qq.com

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国家电网公司科技项目资助(521820160018)“特高压背景下江西电网短路电流分析及治理措施研究”


Power flow algorithm for VSC-HVDC AC/DC system based on fuzzy drop control
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(State Grid Jiangxi Electric Power Research Institute, Nanchang 330096, China)

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    摘要:

    针对传统下垂控制方式无法根据电压与功率偏差的变化调节下垂控制系数大小的问题,提出了一种运用模糊推理改变下垂控制系数的方法。在分析VSC换流站数学模型与控制策略的基础上,考虑了VSC采用下垂控制策略时交直流节点的控制特性,基于模糊下垂理论确定了VSC-HVDC系统潮流模型的计算流程。并进一步提出了VSC-HVDC系统模糊下垂控制改进潮流算法,实现了对VSC直流侧电压与有功功率偏差的调节。最后通过算例验证了所提模糊下垂控制算法能够减小4~5倍直流系统迭代过程中的功率与电压偏差,具备更强的收敛性与可行性。

    Abstract:

    Aiming at the problem that traditional droop control method can not adjust the droop control coefficient according to the variation of voltage and power deviation, a method of using fuzzy reasoning to change the droop control coefficient is proposed. On the basis of analyzing the mathematical model and control strategy of VSC converter station, the control characteristics of AC and DC nodes when VSC adopts droop control strategy are considered and the calculation process of power flow model of VSC-HVDC system is determined based on the theory of fuzzy droop. Also, an improved power flow algorithm of fuzzy droop control for VSC-HVDC system is proposed, which adjusts the deviation between DC voltage and active power of VSC. Finally, the numerical example shows that the proposed fuzzy droop control algorithm can reduce the power and voltage deviation in the iterative process of 4~5 times DC system, and has stronger convergence and feasibility. This work is supported by Science and Technology Project of State Grid Corporation of China “Short-circuit Current Analysis and Treat Measure Research of Jiangxi Power Grid in the Situation of UHVDC” (No. 521820160018).

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徐经民,徐在德,童超.基于模糊下垂控制的VSC-HVDC交直流系统潮流计算方法[J].电力系统保护与控制,2019,47(20):50-57.[XU Jingmin, XU Zaide, TONG Chao. Power flow algorithm for VSC-HVDC AC/DC system based on fuzzy drop control[J]. Power System Protection and Control,2019,V47(20):50-57]

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  • 收稿日期:2018-12-04
  • 最后修改日期:2019-07-03
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  • 在线发布日期: 2019-10-18
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