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Load flow computation via Particle Swarm Optimization

机译:通过粒子群算法进行潮流计算

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This paper proposes the application of a Particle Swarm Optimization (PSO) algorithm to the Load Flow calculation in Power Systems. The proposed methodology is based on the minimization of power mismatches in the system buses. The power flow study provides the system status in the steady-state and it is fundamental to the power system operation, planning and control. PSO is applied in a new computational model for the system power flow obtainment. This model searches for a better convergence, as well as a wider application in comparison with traditional methods as the Newton-Raphson method. This methodology was tested with numerical experiments accomplished in an IEEE 6-Bus System.
机译:本文提出了一种粒子群优化算法在电力系统潮流计算中的应用。所提出的方法基于最小化系统总线中的功率失配。潮流研究提供了稳定状态下的系统状态,这对于电力系统的运行,规划和控制至关重要。 PSO被应用在新的计算模型中以获取系统潮流。与传统方法(如牛顿-拉夫森法)相比,该模型寻求更好的收敛性,并寻求更广泛的应用。通过在IEEE 6总线系统中完成的数值实验对这种方法进行了测试。

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