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Voltage sag monitors optimal allocation using on fuzzy control model

机译:电压暂降基于模糊控制模型监控最优分配

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摘要

Voltage sag problem is getting extensive attention with the extensive application of sensitive equipments in power grid. How to use the limited monitors achieving optimal distribution of monitoring points becomes an important issue. This paper presents a method for voltage sag monitoring optimal allocation based on fuzzy system and particle swarm algorithm. Aiming at the problems of traditional MRA (Monitor Reach Area, voltage sag observation domain), the concept of fuzzy threshold and observation index are put forward, the bus observation ability is also considered, and then the fuzzy control model is established to get the optimal objective function. The allocation is optimized by binary particle swarm algorithm(BPSO). At last, the method is tested on IEEE 30 bus system and the results are compared with traditional methods, showing that the completely observability of voltage sag in the network can be realized, meanwhile the purpose of configuration scheme of monitoring devices can be also obtained.
机译:随着敏感设备在电网中的广泛应用,电压骤降问题得到了广泛的关注。如何使用有限的监视器来实现监视点的最佳分配已成为一个重要的问题。提出了一种基于模糊系统和粒子群算法的电压暂降监测最优分配方法。针对传统的MRA(监测范围,电压暂降观测域)的问题,提出了模糊阈值和观测指标的概念,同时考虑了总线观测能力,建立了模糊控制模型,以求最优。目标函数。通过二进制粒子群算法(BPSO)优化分配。最后在IEEE 30总线系统上对该方法进行了测试,并与传统方法进行了比较,表明该方法可以完全观测网络中的电压暂降,同时也可以达到监控设备配置方案的目的。

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