Next Article in Journal
An Adaptive Inertia and Damping Control Strategy for Virtual Synchronous Generators to Enhance Transient Performance
Next Article in Special Issue
De-Risking the Transition: Quantifying the Security and Economic Value of Dynamic Dispatch and Integrated BESS–Interconnection Strategies for Egypt’s High-Renewable Grid
Previous Article in Journal
Partitioned Configuration of Energy Storage Systems in Energy-Autonomous Distribution Networks Based on Autonomous Unit Division
Previous Article in Special Issue
Research on the Optimization of Urban Electric Heating Hydrogen Integrated Energy System Under Carbon Pricing Mechanism: A Case Study of Guangzhou City
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Energies
Volume 19
Issue 1
10.3390/en19010201
energies-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Risk-Constrained Optimization Framework for Generation and Transmission Maintenance Scheduling Under Economic and Carbon Emission Constraints

by
Huihang Li
1,
Jie Chen
1,
Wenjuan Du
1,
Chiguang Wei
1,
Zhuping Xiang
1,
Hanlong Liu
1,
Xieyu Hu
2 and
Yuping Huang
2,*
1
Dongguan Power Supply Bureau of Guangdong Power Grid Co., Ltd., Dongguan 523129, China
2
Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou 510640, China
*
Author to whom correspondence should be addressed.
Energies 2026, 19(1), 201; https://doi.org/10.3390/en19010201
Submission received: 22 October 2025 / Revised: 2 December 2025 / Accepted: 12 December 2025 / Published: 30 December 2025
(This article belongs to the Special Issue Energy Policies and Energy Transition: Strategies and Outlook)
Browse Figures
Versions Notes

Abstract

Power generation and transmission systems face increasing challenges in coordinating maintenance planning under economic pressure and carbon emission constraints. This study proposes an optimization framework that integrates preventive maintenance scheduling with operational dispatch decisions, aiming to achieve both cost efficiency and emission reduction. A bi-layer scenario-based mixed-integer optimization model is formulated, where the upper layer determines annual preventive maintenance windows, and the lower layer performs hourly economic dispatch considering renewable generation and demand uncertainty. To manage the exposure to extreme carbon outcomes, a Conditional Value-at-Risk (CVaR) constraint is embedded, jointly controlling economic and environmental risks. A parallel cut-generation decomposition algorithm is developed to ensure computational scalability for large-scale systems. Numerical experiments on six-bus and IEEE 118-bus systems demonstrate that the proposed model reduces total carbon emissions by up to 32.1%, while maintaining cost efficiency and system reliability. The scenario analyses further show that adjusting maintenance schedules according to seasonal carbon intensity effectively balances operation and emission targets. The results confirm that the proposed optimization framework provides a practical and scalable approach for achieving low-carbon, reliable, and economically efficient power system maintenance planning.
Keywords: power system decarbonization; renewable generation uncertainty; maintenance scheduling; stochastic programming; Conditional Value-at-Risk (CVaR) power system decarbonization; renewable generation uncertainty; maintenance scheduling; stochastic programming; Conditional Value-at-Risk (CVaR)

Share and Cite

MDPI and ACS Style

Li, H.; Chen, J.; Du, W.; Wei, C.; Xiang, Z.; Liu, H.; Hu, X.; Huang, Y. Risk-Constrained Optimization Framework for Generation and Transmission Maintenance Scheduling Under Economic and Carbon Emission Constraints. Energies 2026, 19, 201. https://doi.org/10.3390/en19010201

AMA Style

Li H, Chen J, Du W, Wei C, Xiang Z, Liu H, Hu X, Huang Y. Risk-Constrained Optimization Framework for Generation and Transmission Maintenance Scheduling Under Economic and Carbon Emission Constraints. Energies. 2026; 19(1):201. https://doi.org/10.3390/en19010201

Chicago/Turabian Style

Li, Huihang, Jie Chen, Wenjuan Du, Chiguang Wei, Zhuping Xiang, Hanlong Liu, Xieyu Hu, and Yuping Huang. 2026. "Risk-Constrained Optimization Framework for Generation and Transmission Maintenance Scheduling Under Economic and Carbon Emission Constraints" Energies 19, no. 1: 201. https://doi.org/10.3390/en19010201

APA Style

Li, H., Chen, J., Du, W., Wei, C., Xiang, Z., Liu, H., Hu, X., & Huang, Y. (2026). Risk-Constrained Optimization Framework for Generation and Transmission Maintenance Scheduling Under Economic and Carbon Emission Constraints. Energies, 19(1), 201. https://doi.org/10.3390/en19010201

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop