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Power System Control Strategy Based on Multi-objective Optimization Algorithm

机译:基于多目标优化算法的电力系统控制策略

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To avoid adverse interaction effects between FACTS controllers, a multi-machine system model with SVC and TCSC was investigated. The adverse effects of the interaction between FACTS controllers on the power system were analysed and verified. The problem of coordinated control of SVC and TCSC was transformed into a multi-objective optimization problem. A multi-objective optimization algorithm was used to optimize the parameters of the FACTS controller. The results showed that the method achieved a good closed-loop effect. Therefore, the research of multi-FACTS device coordinated control technology has important theoretical significance and engineering application value.
机译:为避免事实控制器之间的不利交互效应,研究了具有SVC和TCSC的多机系统模型。分析了事实控制器与电力系统之间相互作用的不利影响,并验证。将SVC和TCSC协调控制的问题转化为多目标优化问题。使用多目标优化算法来优化事实控制器的参数。结果表明,该方法实现了良好的闭环效果。因此,多事实设备协调控制技术的研究具有重要的理论意义和工程应用价值。

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