Power Spot Market Clearing Optimization Based on an Improved Low-Load Generation Cost Model of Coal-Fired Generator

With the rapid expansion of variable renewable energy, coal-fired units are increasingly operated at low load, where non-convex cost characteristics pose challenges for spot market clearing. This study reviews and improves existing low-load generation cost models, introducing three key enhancements: (1) integrating piecewise linearization with the marginal cost approach to reduce computational burden; (2) removing redundant binary variables and incorporating previously omitted cost components to improve clearing efficiency; and (3) developing a fuel cost model that combines quasi-fixed and marginal costs for low-load generation with firing and combustion support (FCS), enabling the joint optimization of low-load and normal operations. Applied to 6-bus and provincial systems, the proposed approach achieves speed-ups of 11.3× and 6.3× over the benchmark model (Model I) while maintaining accuracy, demonstrating both its efficiency and practical applicability.

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Publication Details

Journal
Processes
Published
2025-08-28
DOI
https://doi.org/10.3390/pr13092745
Primary Topic
Electric Power System Optimization
Type
article
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article

Power Spot Market Clearing Optimization Based on an Improved Low-Load Generation Cost Model of Coal-Fired Generator

Hongxun Tian, Chuanbao Wu, Meng Qin, Zhou Ce et al.
Processes
Electric Power System Optimization
article

Power Spot Market Clearing Optimization Based on an Improved Low-Load Generation Cost Model of Coal-Fired Generator

Hongxun Tian, Chuanbao Wu, Meng Qin, Zhou Ce, Peng Zou, Xing Yin, Jun Shu
article en

Abstract

With the rapid expansion of variable renewable energy, coal-fired units are increasingly operated at low load, where non-convex cost characteristics pose challenges for spot market clearing. This study reviews and improves existing low-load generation cost models, introducing three key enhancements: (1) integrating piecewise linearization with the marginal cost approach to reduce computational burden; (2) removing redundant binary variables and incorporating previously omitted cost components to improve clearing efficiency; and (3) developing a fuel cost model that combines quasi-fixed and marginal costs for low-load generation with firing and combustion support (FCS), enabling the joint optimization of low-load and normal operations. Applied to 6-bus and provincial systems, the proposed approach achieves speed-ups of 11.3× and 6.3× over the benchmark model (Model I) while maintaining accuracy, demonstrating both its efficiency and practical applicability.

ProcessesVol. 13(9)
North China Electric Power University (CN)
Openalex Percentile: Top 78%
Electric Power System Optimization
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Power Spot Market Clearing Optimization Based on an Improved Low-Load Generation Cost Model of Coal-Fired Generator — Hongxun Tian, Chuanbao Wu, et al. · Processes (2025) | TGRS Research Map | TGRS