首页> 外文期刊>Journal of intelligent & fuzzy systems: Applications in Engineering and Technology >Optimal phasor measurement units placement to maintain network observability using a novel binary particle swarm optimization and fuzzy system
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Optimal phasor measurement units placement to maintain network observability using a novel binary particle swarm optimization and fuzzy system

机译:使用新型二进制粒子群优化和模糊系统来优化相量测量单元的位置,以保持网络的可观察性

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This paper presents a hybrid modified binary particle swarm optimization and fuzzy system for obtaining the optimal number of PMUs which makes the power system completely observable. Observability assessment is done by means of topological observability rules. Moreover a new rule is employed which can decrease the number of required PMUs for full network observability. In all of the investigations, the effect of zero-injection buses in the power system is considered. Developed PMU placement method is illustrated using IEEE standard systems to demonstrate the effectiveness of the proposed algorithm. The results show that the whole system can be observable with installing PMUs on less than 20% of system buses.
机译:为获得最优的PMU数量,提出了一种混合改进的二元粒子群优化与模糊系统,使电力系统完全可观测。可观察性评估是通过拓扑可观察性规则进行的。此外,采用了一条新规则,可以减少完整网络可观察性所需的PMU数量。在所有调查中,都考虑了零注入总线在电力系统中的影响。使用IEEE标准系统说明了开发的PMU放置方法,以证明所提出算法的有效性。结果表明,在不到20%的系统总线上安装PMU即可观察到整个系统。

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