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Network-Constrained Unit Commitment With Flexible Temporal Resolution

delete2025-01-01
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OA
AI
Z
Zekuan Yu
钟
钟海旺 (Haiwang Zhong) *
G
Guangchun Ruan
X
Xinfei Yan
DOI:10.1109/TPWRS.2024.3386867delete
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Abstract

Abstract

En 中文
Modern network-constrained unit commitment (NCUC) bears a heavy computational burden due to the ever-growing model scale. This situation becomes more challenging when detailed operational characteristics, complicated constraints, and multiple objectives are considered. We propose a novel simplification method to determine the flexible temporal resolution for acceleration and near-optimal solutions. The flexible temporal resolution is determined by analyzing the impact on generators in each adaptive time period with awareness of congestion effects. Additionally, multiple improvements are employed on the existing NCUC model compatible with flexible temporal resolution to reduce the number of integer variables while preserving the original features. A case study using the IEEE 118-bus and the Polish 2736-bus systems verifies that the proposed method achieves substantial acceleration with low cost variation and high accuracy.
Keywords:
Adaptation models
Computational modeling
Mathematical models
Adaptive systems
Load flow
Costs
Generators
Flexible temporal resolution
acceleration
congestion
power system operation
energy management
day-ahead scheduling

Journal

IEEE Transactions on Power Systems cover
IEEE Transactions on Power Systems
IF:
7.2
Papers:
1.1W
Citations:
5.0W

Organization

T
tsinghua university
Scholars:
11.9W
Papers: 10.0W
Citations: 137
Cited Papers

Cited Papers

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A Model for Resource Constrained Production and Inventory Management
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errKurt Bretthauer; Bala Shetty; Siddhartha Syam; Susan White
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Synergistic Integration of Machine Learning and Mathematical Optimization for Unit Commitment
err2024-01-01
err8
errOAAI
errWu, Jianghua; Luh, Peter B.; Chen, Yonghong; Yan, Bing; Bragin, Mikhail A.
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Fast Identification of Inactive Security Constraints in SCUC Problems
err2010-11-01
err169
PREAI
errZhai, Qiaozhu; Guan, Xiaohong; Cheng, Jinghui; Wu, Hongyu
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Time-Adaptive Unit Commitment
err2019-09-01
err32
errOAAI
errPineda, Salvador; Fernandez-Blanco, Ricardo; Miguel Morales, Juan
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