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A new improved cultural algorithm approach for multiobjective reactive power planning problem

机译:多目标无功规划问题的一种改进的文化算法新方法

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摘要

Cultural algorithm is a well suited optimization technique for several multiobjective optimization problems. In this paper this cultural approach is used to solve reactive power planning problem considering the real power losses and the deviation of a given voltage schedule combining as a multi-objective model. Var control method is the key of optimal reactive power flow problem. In this paper the proposed method expands the cultural algorithm with a crossover operation to handle the non-linear optimization. Optimization of RPP problem is done with continuous and discrete control variables such as generator bus voltages, setting of on-load tap changer of transformers and the reactive power output of the compensating devices placed on different bus bars. The proposed algorithm is applied on IEEE 14 bus test systems to demonstrate its effectiveness. The results obtained by the proposed technique are compared with other population based heuristic techniques.
机译:文化算法是一种适用于多个多目标优化问题的优化技术。在本文中,这种文化方法被用于解决无功功率规划问题,考虑了有功功率损耗和给定电压计划的偏差,并将其作为一个多目标模型。无功控制方法是最优无功潮流问题的关键。本文提出的方法通过交叉操作扩展了文化算法,以处理非线性优化问题。 RPP问题的优化是通过连续和离散的控制变量完成的,例如发电机母线电压,变压器有载分接开关的设置以及位于不同母线上的补偿设备的无功输出。该算法在IEEE 14总线测试系统上得到了验证。通过提议的技术获得的结果与其他基于人口的启发式技术进行了比较。

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