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Optimal Active-Reactive Power Dispatch Using an Enhanced Differential Evolution Algorithm

机译:使用增强型差分演进算法的最佳主动无功功率调度

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This paper presents an enhanced differential evolution (EDE) algorithm to alternatively solve the optimal active-reactive power dispatch (ARPD) problem. Theoretically, there has a coupling relation between active and reactive power dispatches. However, due to a high X/R ratio existing in the transmission line, the problem of ARPD can then be decomposed into two individual sub-problems by the decoupling concept, i.e., active and reactive power dispatch problems. In this paper, a differential evolution algorithm enhanced by combining variable scaling mutation and ant algorithm was proposed to alternatively solve the ARPD problem in a single simulation run. Due to the superiority in optimization, the EDE method is very adequate to deal with the ARPD problem. The proposed approach has been verified on the IEEE 30-bus 6-generator system. Testing results indicate the proposed EDE was superior to the existing methods in terms of active power loss, operating cost, and convergence time.
机译:本文介绍了增强的差分演进(EDE)算法,可替代地解决最佳的主动无功功率调度(ARPD)问题。理论上,主动和无功功率调度之间存在耦合关系。然而,由于传输线中存在的高X / R比,然后通过解耦概念,即主动和无功派遣问题,ARPD的问题可以分解成两个单独的子问题。在本文中,提出了一种通过组合可变缩放突变和蚂蚁算法而增强的差分演进算法,以替代地解决了单个仿真运行中的ARPD问题。由于优化优化,EDE方法非常适当地处理ARPD问题。在IEEE 30-Bus 6发生器系统上验证了所提出的方法。测试结果表明所提出的EDE在有源功率损耗,运营成本和收敛时间方面优于现有方法。

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