Name
Title | ||
|---|---|---|
Data-Adaptive Robust Transmission Network Planning Incorporating Post-Contingency Demand Response. |
Abstract | ||
|---|---|---|
The significant development and increasing deployment of renewable generation in the modern power system introduces the challenge for dealing with uncertainty. In this paper, data-adaptive robust optimization is applied to the transmission network planning. By taking historical data correlation into account, the proposed model can achieve a lower expansion investment without sacrificing the robustness. Demand response is embedded in this model to relieve the overflow incurred by renewable generation fluctuation and N - 1 contingency. The model is decomposed into a master problem and several slave problems by column and constraint generation algorithm and then solved iteratively. The numerical simulation tested on Garver 6-bus system and the IEEE 118-bus system demonstrates the effect of demand response in reducing or postponing network construction. The proposed data-adaptive robust optimization is proved to be cost-effective and computationally efficient. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ACCESS.2019.2928833 | IEEE ACCESS |
Keywords | DocType | Volume |
Transmission network planning,N-1 contingency,demand response,data-adaptive robust optimization,column and constraint generation | Journal | 7 |
ISSN | Citations | PageRank |
2169-3536 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qianwei Zheng | 1 | 0 | 0.34 |
| Xiaomeng Ai | 2 | 1 | 1.36 |
| Jiakun Fang | 3 | 10 | 3.27 |
| Jinyu Wen | 4 | 233 | 26.09 |