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Optimal reactive power planning with facts devices by particle swarm technique

机译:使用事实装置的粒子群技术优化无功计划

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Reactive power planning by optimal allocation of static VAr compensator (SVC) and thyristor controlled series capacitor (TCSC) is presented in this paper. Three objective functions (minimization of the installation cost of SVC or TCSC, minimization of the energy loss cost, and minimization of the total cost defined as the sum of the installation cost and energy loss cost) are considered for comparison purpose. All the objective functions are subject to power flow equations, bus voltage limits, reactive power output of generators at voltage controlled buses, and limits of setting values for SVC and TCSC. An optimization technique based on particle swarm optimization (PSO) algorithm is developed to determine the optimal locations of SVC and TCSC and their corresponding setting values. A case study with a modified IEEE 14-bus system is carried out to demonstrate the effectiveness of the proposed technique. It is found that the obtained optimal solutions meet the requirement of the objective functions while satisfying all the constraints. Numerical results for total real and reactive power losses, energy loss cost, installation cost, and total cost are also discussed.
机译:本文提出了通过静态VAr补偿器(SVC)和晶闸管控制串联电容器(TCSC)的最佳分配进行无功功率规划。为了比较目的,考虑了三个目标函数(最小化SVC或TCSC的安装成本,最小化的能量损失成本以及最小化的总成本(定义为安装成本和能量损失成本之和))。所有目标函数均受功率方程,母线电压限制,电压控制母线处发电机的无功功率输出以及SVC和TCSC设置值的限制的影响。提出了一种基于粒子群算法(PSO)的优化技术,以确定SVC和TCSC的最优位置及其对应的设定值。以改进的IEEE 14总线系统为例进行了案例研究,以证明所提出的技术的有效性。发现所获得的最优解在满足所有约束的同时满足了目标函数的要求。还讨论了有功和无功总损耗,能量损耗成本,安装成本和总成本的数值结果。

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