DVR补偿器修正功率的双目标调节质量指标负载
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西安工程大学电子信息学院 西安 710048

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TM712

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Bi objective regulating of DVR compesator to modify power quality's indices of load
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School of Electronic and Information,Xi’an Polytechnic University,Xi’an 710048,China

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    摘要:

    提出一种基于粒子群优化(PSO)算法的控制方案,以便使用动态电压恢复器(DVR)来补偿关键的功率质量干扰,特别是电压下降和谐波电压。根据上述方法,DVR的PI控制器结构通过多目标PSO算法进行调节,结果表明,该算法调整的PI优于传统的PI控制器。介绍了分配系统的方法,将SAG和THD修改为故障条件下敏感负载中的主要电力质量指标。采用一种新的双目标优化算法来调整系数, 这种双目标算法是基于上述目标的模糊化。 模拟结果表明,该双目标算法比单目标算法和经典控制的电压下降和电压THD更好。

    Abstract:

    This paper aims to propose a control scheme based on particle swarm optimization (PSO) algorithm to compensate for critical power quality interference, especially voltage drop and harmonic voltage, using dynamic voltage restorer (DVR). According to the above method, the PI controller structure of DVR is adjusted by multiobjective PSO algorithm. The results show that the PI of the algorithm is better than the traditional PI controller. We introduced the method of allocating the system and modified SAG and THD to the main power quality indicators in the sensitive load under fault conditions. Therefore, we apply the multiobjective optimization algorithm. In this paper, we use a new twoobjective optimization algorithm to adjust the coefficients. This dualobjective algorithm is based on the above objectives of the fuzzy. The simulation results show that the two  objective algorithm is better than the single  objective algorithm and the classical voltage drop and the voltage THD.

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张翠,党幼云,罗辉,董潭,李婧. DVR补偿器修正功率的双目标调节质量指标负载[J].电子测量技术,2017,40(11):56-60

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  • 在线发布日期: 2018-01-02
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