自适应配电系统的海狮优化PMU布局

IF 0.6 Q4 ENGINEERING, MECHANICAL Journal of Measurements in Engineering Pub Date : 2022-03-16 DOI:10.21595/jme.2022.22346
Thamaraiselvi Arivazhagan, S. Srikrishna, Naveenkumar Kaliyan, Ganesan Sivarajan
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引用次数: 0

摘要

技术进步和政策改革使配电系统成为一个活跃的网络。现代电力系统运营法规鼓励各种实体之间的协调网络运营和客户参与。与传统的作战环境不同,实时监控已成为安全可靠作战的一项任务。相量测量单元(PMU)是最可靠的数据采集工具,其在状态估计(SE)中的应用已经得到验证。这项工作扩展了PMU在配电系统中的应用。提出了一个考虑PMU最优布局、网络重构和拓扑扩展的多目标优化框架。选择了一种新的优化工具海狮优化器来解决所开发的优化问题。将所提出的运行模型应用于IEEE RBTS-2总线系统、IEEE 33节点系统和69节点径向配电网。数值结果为PMU在加强配电网运营中的作用提供了新的见解。统计指数证实了预期的优化器在所选择的高度受限的优化环境中表现良好。
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Optimal PMU placements using sea lion optimization for adaptable distribution system
. The technological advancements and policy reformations make the electric power distribution system an active network. The modern power system operational regulations encourage coordinated network operations among various entities and customer participation. Unlike traditional operational environments, real-time monitoring has become a mandate for secure and reliable operations. Phasor Measurement Units (PMU) is the most reliable data acquisition tool, and their application for State Estimation (SE) has already been proven. This work extends the application of PMUs for the distribution system. A multi-objective optimization framework is proposed considering the optimal placement of PMU, network reconfiguration, and topology expansion. A novel optimization tool, the sea lion optimizer has been chosen to address the developed optimization problem. The proposed operational model is employed in IEEE RBTS-2 bus system, IEEE 33 node system and 69 node radial distribution network. Numerical results provide new insights into PMUs role in enhancing distribution network operations. The statistical indices confirm that the intended optimizer performs well in the chosen highly constrained optimization environment.
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来源期刊
Journal of Measurements in Engineering
Journal of Measurements in Engineering ENGINEERING, MECHANICAL-
CiteScore
2.00
自引率
6.20%
发文量
16
审稿时长
16 weeks
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