基于鱼群算法的UPFC定容研究

Study on capacity of UPFC based on artificial fish swarm algorithm

针对统一潮流控制器(UPFC)的容量正确选择问题,介绍了一种由UPFC安装的收益和成本函数确定其容量的方法,提出了利用一种较新的智能算法—鱼群算法以寻找最优补偿电压(标幺值),进行UPFC安装容量的寻优,从而确定UPFC的容量。为了比较鱼群算法的寻优特点,利用遗传算法与其进行了比较。最后以IEEE 14节点系统为算例,通过鱼群算法对目标函数进行了寻优,经过Matlab仿真,得到了收益与UPFC串联侧注入电压幅值的关系曲线及其迭代过程情况。经过分析,算例结果表明,鱼群算法具有克服局部极值、取得全局极值的能力;该算法中仅使用目标问题的函数值,对搜索空间有一定的自适应能力;其具有对初值与参数选择不敏感、鲁棒性强、简单易实现、收敛速度快等优点。

Aiming at the correct selection of the capacity of unified power flow controller （ UPFC）, the method of determination of the capacity of UPFC installed by the cost and profit functions was introduced. The installed capacity of UPFC using a new intelligent algorithm-artificial fish swarm algorithm was presented to find the optimal compensation voltage （p. u. ） and determine the UPFC capacity. In order to compare the algorithm＇s optimization, the genetic algorithm was compared with the artificial fish swarm algorithm. Finally, taking IEEE 14 node system for example, the method was used to find the optimal size of UPFC. Through Matlab simulation the relationship curve between income and UPFC series injected voltage amplitude was got. After the analysis, the calculation results show that the algorithm has ability to overcome the local extremum and achieve global extremum; only using the values in the algorithm, there is a certain adaptive ability of the search space; initial value to the parameter selection is insensitivity, strong robustness, simple and easy to implement, fast convergence speed.