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Optimal active-reactive power dispatch using an enhanced differential evolution algorithm

机译:使用改进的差分进化算法优化有功-无功功率分配

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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:本文提出了一种增强的差分进化(EDE)算法,以替代解决最优有功-无功功率分配(ARPD)问题。从理论上讲,有功和无功分配之间存在耦合关系。但是,由于传输线中存在高的X / R比,因此ARPD的问题可以通过解耦的概念分解为两个单独的子问题,即有功和无功功率分配问题。提出了一种结合变标度突变和蚂蚁算法增强的差分进化算法,以在一次模拟运行中交替解决ARPD问题。由于优化方面的优势,EDE方法非常适合处理ARPD问题。该提议的方法已经在IEEE 30总线6发电机系统上得到验证。测试结果表明,提出的EDE在有功功率损耗,运行成本和收敛时间方面优于现有方法。

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