Hierarchical Optimization Strategy Considering Regulation of Electric-Fused Magnesium High-Energy-Consuming Load and Deep Peak Regulation of Thermal Power

The randomness and volatility of wind power increase peak regulation pressure, leading to wind curtailment despite the deep peak regulation efforts of thermal power units. By integrating conventional power source dispatch and high-energy-consuming load configuration, a two-layer optimization model is developed to maximize wind curtailment absorption and minimize thermal power deep peak regulation costs. The model first analyzes the fused magnesium load’s operating characteristics and its dispatch-participation model, then combines with the thermal power deep peak regulation model for hierarchical joint peak regulation. Applying the method to an actual regional system via CPLEX shows that it reduces wind curtailment, optimizes thermal power deep peak regulation, and improves power generation economic efficiency.

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Publication Details

Journal
Energies
Published
2025-10-11
DOI
https://doi.org/10.3390/en18205361
Citations
2
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
1.46

Funders

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article

Hierarchical Optimization Strategy Considering Regulation of Electric-Fused Magnesium High-Energy-Consuming Load and Deep Peak Regulation of Thermal Power

Shunjiang Wang, Kexin Ren, Chuang Liu, Yibo Wang et al.
2 citations
Energies
Integrated Energy Systems Optimization
1.46
article

Hierarchical Optimization Strategy Considering Regulation of Electric-Fused Magnesium High-Energy-Consuming Load and Deep Peak Regulation of Thermal Power

Shunjiang Wang, Kexin Ren, Chuang Liu, Yibo Wang, Xudong Zhao
article en
2 citations

Abstract

The randomness and volatility of wind power increase peak regulation pressure, leading to wind curtailment despite the deep peak regulation efforts of thermal power units. By integrating conventional power source dispatch and high-energy-consuming load configuration, a two-layer optimization model is developed to maximize wind curtailment absorption and minimize thermal power deep peak regulation costs. The model first analyzes the fused magnesium load’s operating characteristics and its dispatch-participation model, then combines with the thermal power deep peak regulation model for hierarchical joint peak regulation. Applying the method to an actual regional system via CPLEX shows that it reduces wind curtailment, optimizes thermal power deep peak regulation, and improves power generation economic efficiency.

EnergiesVol. 18(20)
Northeast Electric Power University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 15%
Integrated Energy Systems Optimization
1.46
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Hierarchical Optimization Strategy Considering Regulation of Electric-Fused Magnesium High-Energy-Consuming Load and Deep Peak Regulation of Thermal Power — Shunjiang Wang, Kexin Ren, et al. · Energies (2025) | TGRS Research Map | TGRS