Name
Abstract | ||
|---|---|---|
With increasing concerns on environmental issues, vast renewable energy is integrated into power systems worldwide, especially wind power. However, its essential uncertainty introduces great challenges into power system operation. Additionally, the emission-constrained generation dispatch problem need to be further studied in the background of restructured power systems, as just the total emission is considered traditionally. In this paper, the emission-constrained generation dispatch problem of systems including wind power is studied. Emission constraints are modeled as detailed air pollutants concentration limits in geographical positions of loads. The uncertainty of wind speed and the corresponding uncertain wind power are considered. Robust optimization is applied to cope with the uncertain information to generate dispatch plans acceptable under all possible scenarios. An algorithm based on Benders decomposition is developed to solve the proposed model. The modified IEEE 14-bus system is employed to demonstrate the effectiveness of the proposed model and algorithm. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/ISGT.2015.7131871 | ISGT |
Keywords | Field | DocType |
Air pollutant dispersion, benders decomposition, generation dispatch, robust optimization, wind uncertainty | Economic dispatch,Mathematical optimization,Renewable energy,Wind speed,Robust optimization,Electric power system,Robustness (computer science),Air pollution,Engineering,Wind power | Conference |
Citations | PageRank | References |
1 | 0.38 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| shunbo lei | 1 | 20 | 5.52 |
| Yunhe Hou | 2 | 114 | 22.07 |
| Xi Wang | 3 | 1 | 0.38 |
| Kai Liu | 4 | 1 | 2.07 |