scholarly journals Duality-Free Decomposition Based Data-Driven Stochastic Security-Constrained Unit Commitment

2019 ◽  
Vol 10 (1) ◽  
pp. 82-93 ◽  
Author(s):  
Tao Ding ◽  
Qingrun Yang ◽  
Xiyuan Liu ◽  
Can Huang ◽  
Yongheng Yang ◽  
...  
Keyword(s):  
Unit Commitment ◽  
Data Driven ◽  
Free Decomposition

scholarly journals Data-Driven Distributionally Robust Chance-Constrained Unit Commitment With Uncertain Wind Power

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 135087-135098 ◽  
Author(s):  
Zhichao Shi ◽  
Hao Liang ◽  
Venkata Dinavahi
Keyword(s):  
Wind Power ◽  
Unit Commitment ◽  
Data Driven ◽  
Distributionally Robust

scholarly journals Fast Heuristic AC Power Flow Analysis with Data-Driven Enhanced Linearized Model

Energies ◽  
2020 ◽  
Vol 13 (13) ◽  
pp. 3308
Author(s):  
Xingpeng Li
Keyword(s):  
Power Systems ◽  
Power System ◽  
Power Flow ◽  
Flow Model ◽  
Reactive Power ◽  
Unit Commitment ◽  
Flow Analysis ◽  
Data Driven ◽  
Dc Power ◽  
Ac Power

Though the full AC power flow model can accurately represent the physical power system, the use of this model is limited in practice due to the computational complexity associated with its non-linear and non-convexity characteristics. For instance, the AC power flow model is not incorporated in the unit commitment model for practical power systems. Instead, an alternative linearized DC power flow model is widely used in today’s power system operational and planning tools. However, DC power flow model will be useless when reactive power and voltage magnitude are of concern. Therefore, a linearized AC (LAC) power flow model is needed to address this issue. This paper first introduces a traditional LAC model and then proposes an enhanced data-driven linearized AC (DLAC) model using the regression analysis technique. Numerical simulations conducted on the Tennessee Valley Authority (TVA) system demonstrate the performance and effectiveness of the proposed DLAC model.

A data-driven approach for multi-objective unit commitment under hybrid uncertainties

Energy ◽  
2018 ◽  
Vol 164 ◽  
pp. 722-733 ◽  
Author(s):  
Min Zhou ◽  
Bo Wang ◽  
Tiantian Li ◽  
Junzo Watada
Keyword(s):  
Unit Commitment ◽  
Data Driven ◽  
Multi Objective ◽  
Data Driven Approach

Data-Driven Look-Ahead Unit Commitment Considering Forbidden Zones and Dynamic Ramping Rates

2019 ◽  
Vol 15 (6) ◽  
pp. 3267-3276 ◽  
Author(s):  
Ziliang Jin ◽  
Kai Pan ◽  
Lei Fan ◽  
Tao Ding
Keyword(s):  
Unit Commitment ◽  
Data Driven ◽  
Look Ahead

Data-Driven Affinely Adjustable Distributionally Robust Unit Commitment

2018 ◽  
Vol 33 (2) ◽  
pp. 1385-1398 ◽  
Author(s):  
Chao Duan ◽  
Lin Jiang ◽  
Wanliang Fang ◽  
Jun Liu
Keyword(s):  
Unit Commitment ◽  
Data Driven ◽  
Distributionally Robust
Sign in / Sign up

Export Citation Format

Share Document