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Solution of the optimal reactive power dispatch for power systems by using novel charged system search algorithm

机译:用新型收费系统搜索算法求解电力系统最优无功分配

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Proper reactive power dispatch can not only reduce the active power loss, but also can improve the voltage stability, and make the system operate in the security operation range. In this paper, we use intelligent control method is used to implement optimal reactive power dispatch for IEEE30-bus and IEEE57-bus systems. And we use three types of optimization algorithms to compare: Charged System Search (CSS), Particle Swarm Optimization (PSO), and Hybrid Charged System Search and Particle Swarm Optimization (HCSSPSO). Analysis of reactive power dispatch benefits. In this paper, the optimal objective function is to minimize the loss rate in the transmission line, and satisfies all the constraints of the system, be sure to consider the optimal objective function range of within a reasonable. From the simulation results, HCSSPSO can get the global optimal solution faster than CSS and PSO. Therefore, the times of solve can be reduced and the global optimal solution can be obtained more easily. Through the analysis of both the IEEE 30-bus and IEEE 57-bus systems, it is demonstrated that the optimization method used is feasible for reactive power dispatch, reducing the active power loss in the transmission line and keeping the load bus voltage range of within a reasonable. Expect to help dispatchers make more economical and secure dispatch.
机译:适当的无功功率分配不仅可以减少有功功率损耗,而且可以提高电压的稳定性,并使系统在安全的工作范围内运行。在本文中,我们使用智能控制方法来实现IEEE30总线和IEEE57总线系统的最优无功功率分配。并且,我们使用三种类型的优化算法进行比较:充电系统搜索(CSS),粒子群优化(PSO)和混合充电系统搜索和粒子群优化(HCSSPSO)。无功调度收益分析。本文的最佳目标函数是使传输线的损耗率最小,并满足系统的所有约束条件,因此一定要考虑合理范围内的最佳目标函数范围。从仿真结果来看,HCSSPSO可以比CSS和PSO更快地获得全局最优解。因此,可以减少求解时间,并且可以更容易地获得全局最优解。通过对IEEE 30总线系统和IEEE 57总线系统的分析,表明所使用的优化方法对于无功功率分配,减少传输线路中的有功功率损耗以及将负载总线电压范围保持在合理的。期望能帮助调度员进行更经济,更安全的调度。

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