静止同步串联补偿器的优化选址定容方法

发布时间：2018-04-11 18:55

本文选题：静止同步串联补偿器 + 量子遗传算法　；参考：《电网技术》2017年06期

【摘要】：针对静止同步串联补偿器(static synchronous series compensator,SSSC)在选址定容方面研究不足的问题,提出了一种灾变变速量子遗传算法用于SSSC的选址定容优化。推导了包含SSSC的电力系统潮流方程,建立了SSSC在电网中的数学模型;通过潮流计算得到系统的有功损耗、电压偏移率和负荷裕度,使用归一化的处理方法将不同量纲的量同时考虑,并赋以权重,得到目标函数;使用所提灾变变速量子遗传算法求取目标函数的最优解。在Matlab下分析了不同权重下最优解的分布情况,为权重的选择提供了依据。同时与另外2种算法进行对比,结果表明提出的算法在寻优结果稳定性、收敛速度和全局寻优能力上有所改善。
[Abstract]:Aiming at the lack of research on static synchronous series compensator SSSCs, a catastrophic variable speed quantum genetic algorithm (QGA) is proposed to optimize the location and volume of SSSC.The power flow equation of power system including SSSC is derived, and the mathematical model of SSSC in power network is established, and the active power loss, voltage offset and load margin of the system are obtained by power flow calculation.The objective function is obtained by taking different dimensional quantities into consideration and weighted by the normalized processing method, and the optimal solution of the objective function is obtained by using the proposed catastrophe variable speed quantum genetic algorithm (QGA).The distribution of the optimal solution under different weights is analyzed under Matlab, which provides a basis for the selection of weights.At the same time, compared with the other two algorithms, the results show that the proposed algorithm improves the stability, convergence speed and global optimization ability of the proposed algorithm.
【作者单位】：新能源电力系统国家重点实验室(华北电力大学);先进输电技术国家重点实验室(全球能源互联网研究院);国网天津市电力公司电力科学研究院;
【基金】：国家电网公司科技项目“220 kV静止串联同步补偿器关键技术研究及示范应用”(SGRI-DL-71-15-004)~~
【分类号】：TM761.12

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