Title | ||
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An Iterative Response-Surface-Based Approach for Chance-Constrained AC Optimal Power Flow Considering Dependent Uncertainty |
Abstract | ||
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A modern power system is characterized by a stochastic variation of the loads and an increasing penetration of renewable energy generation, which results in large uncertainties in its states. These uncertainties bring formidable challenges to the power system planning and operation process. To address these challenges, we propose a cost-effective, iterative response-surface-based approach for the ... |
Year | DOI | Venue |
---|---|---|
2021 | 10.1109/TSG.2021.3051088 | IEEE Transactions on Smart Grid |
Keywords | DocType | Volume |
Uncertainty,Computational modeling,Stochastic processes,Response surface methodology,Renewable energy sources,Reactive power,Iterative methods | Journal | 12 |
Issue | ISSN | Citations |
3 | 1949-3053 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yijun Xu | 1 | 4 | 2.84 |
Mert Korkali | 2 | 6 | 2.06 |
Lamine Mili | 3 | 138 | 22.34 |
Jaber Valinejad | 4 | 0 | 0.68 |
Tao Chen | 5 | 16 | 3.09 |
Xiao Chen | 6 | 6 | 2.56 |