配电网降压节能装置中电容器组的选址定容问题研究
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(1.合肥工业大学电气与自动化工程学院,安徽 合肥 230009;2.四川大学电气信息学院,四川 成都 610065)

作者简介:

戴诗朦(1992—),女,硕士研究生,研究方向为配电网电压无功;E-mail:annie578400321@qq.com
孙 鸣(1957—),男,博士,教授,研究方向为电力系统继电保护及调度自动化;
刘俊勇(1963—),男,博士,教授,研究方向为配电网规划运行及电力市场研究。

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国家高技术研究发展计划(863计划)项目(2014AA 051901)


Research of the placement and capacity of capacitor bank of conservation reduction voltage device in distribution network
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(1. School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China;2. School of Information Engineering, Sichuan University of Technology, Chengdu 610065, China)

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    摘要:

    近年来国内电网在用电峰荷时期时常出现供电容量不足的情况,降压节能技术能够有效解决该问题。对此提出一种针对配电网降压节能装置中并联电容器组的多目标选址定容方法。该方法以系统电压偏差以及有功网络损耗最小为目标,考虑电容器组的安装成本,通过带精英策略的快速非支配排序遗传算法(NEGA-II)与基于满意度的模糊聚类方法的有机结合,寻求并联电容器组配置的最优解。仿真算例证明所提出的方法能够有效实现目标的优化,为降压节能技术的实现提供良好的电压无功条件。

    Abstract:

    Recently,the supply capacity of domestic distribution network fails to meet the peak demand. Conservation Voltage Reduction (CVR) technique is an efficient way to solve the problem. On this basis, a multi-objective optimization method is proposed, which decides the placement and capacity of capacitor bank of CVR device in distribution network. This method targets on minimizing the system voltage deviation and active power losses and considers the installation cost of capacitor bank. Two algorithms, Non-Dominated Sorting in Genetic Algorithms II (NEGA-II) and satisfaction based fuzzy clustering method, are combined to seek the optimal solution of shunt capacitor bank configuration. Simulations results demonstrate that the proposed method can achieve the optimization of objective and provide a good VOL/VAR condition for CVR. This work is supported by National High-tech R & D Program of China (863 Program) (No. 2014AA051901).

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戴诗朦,孙鸣,刘俊勇.配电网降压节能装置中电容器组的选址定容问题研究[J].电力系统保护与控制,2018,46(6):54-61.[DAI Shimeng, SUN Ming, LIU Junyong. Research of the placement and capacity of capacitor bank of conservation reduction voltage device in distribution network[J]. Power System Protection and Control,2018,V46(6):54-61]

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  • 收稿日期:2017-03-13
  • 最后修改日期:2017-06-28
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  • 在线发布日期: 2018-03-16
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