基于改进二值花授粉算法的电力系统状态估计PMU优化配置

Suresh Babu Palepu, M. D. Reddy
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引用次数: 2

摘要

相量测量单元(PMU)是当前电力系统中必不可少的测量设备。其优点似乎是测量系统可以同时给出电网中广泛分布位置的电压和电流相量读数,用于状态估计和故障检测。仿真和现场经验表明,PMUs可以改变电力系统的监测和控制方式。然而,人们认为费用将限制任何电力系统中pmu的数量。本文基于改进的二元传粉算法(IBFPA)实现了PMU的放置。在各种突发情况下,所提出的算法将使PMU的优化放置具有完全的网络可观察性。IEEE 14、24、30、39、57和118总线系统的结果表明,该策略有效地降低了pmu的使用数量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal PMU Placement for Power System State Estimation Using Improved Binary Flower Pollination Algorithm
The phasor measurement unit (PMU) is an essential measuring device in current power systems. The advantage seems to be that the measuring system could simultaneously give voltages and currents phasor readings from widely dispersed locations in the electric power grid for state estimation and fault detection. Simulations and field experiences recommend that PMUs can reform the manner power systems are monitored and controlled. However, it is felt that expenses will limit the number of PMUs put into any power system. This paper realizes the PMU placement based on an improved binary flower pollination algorithm (IBFPA). Under various contingency circumstances, the presented algorithms will enable optimized PMU placement with full network observability. The results of the IEEE 14, 24, 30, 39, 57, and 118 bus systems demonstrate that the proposed strategy lowered the number of PMUs utilized effectively.
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