Name
Title | ||
|---|---|---|
Enabling Model-Based Lti For Large-Scale Power System Security Monitoring And Enhancement With Graph-Computing-Based Power Flow Calculation |
Abstract | ||
|---|---|---|
The voltage stability is an essential security concern when a system is operating in peak load hours or subjected to an N-1 contingency. Among various voltage stability indices, Local Thevenin Index (LTI) has been a popular one, but mostly applied to the measurement-based framework. The reason is that it requires significant computing effort if applied to model-based approach, even though the model-based LTI calculation can provide more accurate results. In this paper, a new model-based LTI calculation is proposed using graph-computing-based power flow calculation, which is fast enough to fully utilize the advantage of model-based LTI. Then, when the voltage stability index of one or multiple buses exceeds the security limit, a demand response scheme is activated to increase the voltage security margin at the lowest cost. The simulation study of a thousand-level-bus system verifies the computation accuracy and efficiency of the proposed model-based LTI. It also demonstrates that the demand response action can enhance the system security effectively. Thus, the proposed work has advantages if applied to a large-scale Energy Management System (EMS). |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ACCESS.2019.2949507 | IEEE ACCESS |
Keywords | DocType | Volume |
Power system security, voltage stability monitoring, voltage stability index, graph computing, demand response, security enhancement, local Thevenin index | Journal | 7 |
ISSN | Citations | PageRank |
2169-3536 | 0 | 0.34 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qingxin Shi | 1 | 4 | 3.47 |
| Chen Yuan | 2 | 27 | 12.30 |
| Wei Feng | 3 | 0 | 0.34 |
| Guangyi Liu | 4 | 223 | 36.37 |
| Renchang Dai | 5 | 0 | 0.34 |
| Zhiwei Wang | 6 | 7 | 7.28 |
| Fangxing Li | 7 | 313 | 53.19 |