论文标题
用于弹性电源系统监控的多目标PMU分配
Multi-Objective PMU Allocation for Resilient Power System Monitoring
论文作者
论文摘要
相量测量单元（PMU）可实现智能电网中更好的系统监控和安全性增强。为了增强电源系统的弹性，以防止极端天气事件或人为攻击引起的停电和停电，确定PMU的最佳数量和位置仍然是一个主要的挑战。在本文中，制定了多目标弹性PMU位置（MORPP）问题，并通过改进的基于教学学习的优化（MO-TLBO）算法解决。在MORPP问题中考虑了三个目标，最小化PMU的数量，最大化系统可观察性，并最大程度地减少电压稳定性指数。该方法的有效性通过对IEEE 14总线，30总线和118个总线测试系统的测试来验证。基于Mo-TLBO的MORPP的优势通过与文献中的其他方法进行比较，在迭代数，最佳和收敛时间方面。
Phasor measurement units (PMUs) enable better system monitoring and security enhancement in smart grids. In order to enhance power system resilience against outages and blackouts caused by extreme weather events or man-made attacks, it remains a major challenge to determine the optimal number and location of PMUs. In this paper, a multi-objective resilient PMU placement (MORPP) problem is formulated, and solved by a modified Teaching-Learning-Based Optimization (MO-TLBO) algorithm. Three objectives are considered in the MORPP problem, minimizing the number of PMUs, maximizing the system observability, and minimizing the voltage stability index. The effectiveness of the proposed method is validated through testing on IEEE 14-bus, 30-bus, and 118-bus test systems. The advantage of the MO-TLBO-based MORPP is demonstrated through the comparison with other methods in the literature, in terms of iteration number, optimality and time of convergence.
