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Optimal tuning of multi-machine Power System Stabilizer parameters using Genetic-Algorithm

机译:利用遗传算法优化多机电力系统稳定器参数

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Optimal tuning of Power System Stabilizers (PSSs) parameters using genetic algorithm is presented in this paper. Selecting the parameters of power system stabilizers which simultaneously stabilize system oscillations is converted to a simple optimization problem which is solved by a genetic algorithm. The advantage of Genetic Algorithm (GA) technique for tuning the PSS parameters is that it is independent of the complexity of the performance index considered. The efficiency of the proposed method has been tested on two cases of multi-machine systems include 3-machine 9 buses system and 10-machine 39 buses New England system. The proposed method of tuning the PSS is an attractive alternative to conventional fixed gain stabilizer design as it retains the simplicity of the conventional PSS and at the same time guarantees a robust acceptable performance over a wide range of operating and system condition.
机译:本文提出了使用遗传算法对电力系统稳定器(PSSs)参数进行优化的方法。选择同时稳定系统振荡的电力系统稳定器的参数将转换为一个简单的优化问题,该问题可以通过遗传算法解决。遗传算法(GA)技术用于调整PSS参数的优势在于,它与所考虑的性能指标的复杂性无关。该方法的有效性已在多机系统的两种情况下进行了测试,包括3机9总线系统和10机39总线新英格兰系统。拟议的PSS调整方法是传统固定增益稳定器设计的一种有吸引力的替代方法,因为它保留了传统PSS的简单性,同时保证了在宽范围的操作和系统条件下的鲁棒的可接受性能。

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