计及UPFC电力系统无功优化研究

Reactive Power Optimization Incorporating Unified Power Flow Controller

为了更加有效地实现对电力系统潮流分布的控制,以进一步提高电力系统无功优化的有效性,达到使系统损耗最小的目的,提出了基于粒子群智能优化算法的计及UPFC的无功优化方法。以系统有功网损最小为目标函数,为了有效利用UPFC对潮流的调节作用,采用UPFC的节点注入功率模型。通过IEEE-30测试算例就系统有功网损和电压稳定性,对基于粒子群算法系统装设UPFC装置前后进行比较,发现采用文中方法后,不仅降低了系统的有功网损,提高了电压质量,而且与粒子群算法相比,还减少了算法的迭代次数,仿真结果验证了文中模型和算法的有效性和可行性。

In order to control the power flow distribution of power system more effectively, to further improve the effectiveness of the power system reactive power optimization, and to achieve minimizing system loss, this paper proposes a new model based on PSO algorithm for reactive power optimization of a system with UPFC systems. The active network loss minimum is as an objective function using the power injection model of UPFC for effective control of the power flow distribution. This method is implemented and applied into IEEE-30 system and the calculation re- suits indicate that this method not only reduces the active network loss and increases the voltage stability but also re- duces the number of iterations of PSO algorithm. Simulation proves the presented model and algorithm are effective and feasible.