基于粒子群算法的SVC抑制阻尼系统振荡控制器设计
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通讯作者:

蔡卫江(1970),硕士,教授级高级工程师,主要从事电力系统分析研究;Email:13913826369@139.com

中图分类号:

TM761

基金项目:

国家自然科学基金(51677066)


Design of oscillation controller of SVC damping system based on particle swarm algorithm
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    摘要:

    作为柔性交流输电系统(FACTS)的重要装置之一,静止无功补偿器(SVC)有助于提高电力系统稳定运行。通过分析发电机转子方程可知, SVC常规的恒压控制不能起到抑制阻尼系统振荡的作用,而采用了附加阻尼控制后,系统的动态稳定性明显得到提高。在此背景下,设计一种基于SVC的功率振荡阻尼(POD)控制器,其采用PSO优化算法对控制器参数进行自适应优化,并选择合适的阻尼控制输入信号对控制信号进行相位补偿。利用Simulink仿真软件建立包含SVC的HeffronPhilips的系统模型。基于此模型对所提方法的性能进行详细的研究,运用时域仿真方法验证,与传统的电力系统稳定器(PSS)控制器进行对比体现设计控制器的优越性。

    Abstract:

    As one of the important devices of the flexible AC transmission system (FACTS), the static var compensator (SVC) helps to improve the stable operation of the power system. By analyzing the generator rotor equation, it can be obtained that the conventional constant voltage control of SVC can not play the role of restraining the oscillation of the damping system. After the additional damping control is adopted, the dynamic stability of the system is obviously improved. This paper designs a SVCbased power oscillation damping (POD) controller, which uses the PSO optimization algorithm to adaptively optimize the controller parameters, and selects the appropriate damping control input signal to compensate the control signal. This paper uses simulink simulation software to establish a HeffronPhilips system model including SVC. Based on this model, the performance of the proposed method is studied in detail, verified by timedomain simulation method, and compared with the traditional power system stabilizer (PSS) controller to show the superiority of the designed controller.

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蔡卫江,李雪锋,赵士正.基于粒子群算法的SVC抑制阻尼系统振荡控制器设计[J].电力科学与技术学报,2020,35(5):60-65.
CAI Weijiang, LI Xuefeng, ZHAO Shizheng. Design of oscillation controller of SVC damping system based on particle swarm algorithm[J]. Journal of Electric Power Science and Technology,2020,35(5):60-65.

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  • 在线发布日期: 2021-04-16
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