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A novel optimal reactive power dispatch method based on an improved hybrid evolutionary programming technique

机译:基于改进混合进化规划技术的新型最优无功分配方法

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This paper proposes an improved evolutionary programming (IEP) and its hybrid version combined with the nonlinear interior point (IP) technique to solve the optimal reactive power dispatch (ORPD) problems. In an IEP method, the common practices in regulating reactive power are followed in adjusting the mutation direction of control variables in order to increase the possibility of keeping state variables within bounds. The IEP is also hybridized with the IP method to obtain a fast initial solution, which is then used as a highly evolved individual in the initial population of the improved EP method. Numerical tests of the proposed algorithm on the IEEE 118-bus system and a realistic power system in Western China are very encouraging compared with the existing ORPD algorithms in term of computational efficiency and optimality.
机译:本文提出了一种改进的进化规划(IEP)及其混合版本,并结合了非线性内点(IP)技术来解决最优无功分配(ORPD)问题。在IEP方法中,遵循调节无功功率的常规做法来调整控制变量的突变方向,以增加将状态变量保持在范围内的可能性。 IEP也与IP方法杂交以获得快速的初始溶液,然后将其用作改进的EP方法的初始种群中高度进化的个体。在计算效率和最优性方面,与现有的ORPD算法相比,该算法在中国西部地区的IEEE 118总线系统和实际电力系统上的数值测试令人鼓舞。

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