Identification of topology changes in power grids via reduced admittance matrix

Abstract

Frequent changes in power grid topology bring risks to the stable operation of power systems. It is essential to identify changes in the power grid topology quickly and accurately. This paper presents a novel method named network reduction-based topology change identification (NR-TCI) algorithm to identify topology changes in multi-machine power systems. The proposed algorithm can quickly identify power grid topology changes using only phasor measurement unit (PMU) data sampled during the system’s transient process. The NR-TCI algorithm uses the network order reduction method to reduce the order of a bus admittance matrix and then uses PMU measurement data to estimate the reduced admittance matrix by least square method. Finally, the reduced admittance matrix is adopted to find topological information, and the Sherman–Morrison formula is utilized to identify the topology changes. The effectiveness of the proposed NR-TCI algorithm is verified with a case study of a 3 machine 9 bus system in Matlab. In addition, the influence of PMU sampling frequency on the effectiveness of the proposed algorithm is also studied.

System planning and design of technical and economic decision support platform for power grid infrastructure construction engineering

“…With the development of society, and comprehensively improved the power grid's optimization and configuration capacity, security guarantee capacity and interactive service level [1][2][3][4][5] , but stability and scientific development of the power grid have higher and higher requirements for planning [6] . It is necessary to establish a unified information platform for power grid planning, realize "unified planning and unified standards" among different investors, ensure safe and reliable power supply services of the power grid, and avoid repeated investment and construction [7] .…”