Security-constrained unit commitment for electricity market: Modeling, solution methods, and future challenges
This paper summarizes the technical activities of the IEEE Task Force on Solving Large
Scale Optimization Problems in Electricity Market and Power System Applications. This Task …
Scale Optimization Problems in Electricity Market and Power System Applications. This Task …
Spatio-Temporal Deep Learning-Assisted Reduced Security-Constrained Unit Commitment
Security-constrained unit commitment (SCUC) is a computationally complex process utilized
in power system day-ahead scheduling and market clearing. SCUC is run daily and requires …
in power system day-ahead scheduling and market clearing. SCUC is run daily and requires …
Feasibility layer aided machine learning approach for day-ahead operations
Day-ahead operation involves a complex and computationally intensive optimization
process to determine the generator commitment schedule and dispatch. The optimization …
process to determine the generator commitment schedule and dispatch. The optimization …
Cost-driven screening of network constraints for the unit commitment problem
Á Porras, S Pineda, JM Morales… - … on Power Systems, 2022 - ieeexplore.ieee.org
In an attempt to speed up the solution of the unit commitment (UC) problem, both machine-
learning and optimization-based methods have been proposed to lighten the full UC …
learning and optimization-based methods have been proposed to lighten the full UC …
Optimality-Guaranteed Acceleration of Unit Commitment Calculation via Few-shot Solution Prediction
Recently, data-driven approaches are widely used to predict and fix the values of integer
variables in unit commitment (UC) problems to reduce the computational burden. However …
variables in unit commitment (UC) problems to reduce the computational burden. However …
Optimality Guaranteed UC Acceleration via Interactive Utilization of Adjoint Model
S Qu, Z Yang - IEEE Transactions on Power Systems, 2023 - ieeexplore.ieee.org
Unit commitment (UC) is a computationally challenging problem with the increasing
modeling scale and tight time limit. As a mixed-integer linear programming (MILP) problem …
modeling scale and tight time limit. As a mixed-integer linear programming (MILP) problem …
面向小样本场景的数据驱动安全约束经济调度快速计算方法
朱正春， 杨知方， 余娟， 谢永胜， 雷星雨… - 中国电机工程 …, 2021 - epjournal.csee.org.cn
电力系统安全约束经济调度(security-constrained economic dispatch, SCED) 需要考虑海量N-
1 场景, 安全约束数量大. 然而, 在实际电力系统应用中SCED 模型起作用约束比例低 …
1 场景, 安全约束数量大. 然而, 在实际电力系统应用中SCED 模型起作用约束比例低 …
Interpretable data‐driven contingency classification for real‐time corrective security‐constrained economic dispatch
Y Yu, Y Gao, Y Li, Y Yan - IET Renewable Power Generation, 2024 - Wiley Online Library
High penetrations of renewable energy are crucial for low‐carbon power systems. However,
the higher volatility of renewable power generation pushes real‐time operations closer to …
the higher volatility of renewable power generation pushes real‐time operations closer to …
A GNN-Guided Variable Selection Approach for Efficient Derivation of the Optimal Solution in Unit Commitment
The growing scale of the power system has intensified the demand for computational
efficiency in unit commitment (UC). This paper introduces a novel approach that addresses …
efficiency in unit commitment (UC). This paper introduces a novel approach that addresses …
Ramping-Based Variable-Timescale Co-Optimization for Distribution Planning and Operation
L Zhang, H Ye, Y Ge, Z Li - IEEE Transactions on Power …, 2024 - ieeexplore.ieee.org
The growing penetration of distributed photovoltaic (PV) poses new challenges, such as
voltage security and output uncertainty, in distribution networks. The efficient and secure …
voltage security and output uncertainty, in distribution networks. The efficient and secure …