A Review of Industrial Load Flexibility Enhancement for Demand-Response Interaction

被引:0
作者
Zhang, Jiubo [1 ]
Zhou, Bowen [1 ,2 ]
Yang, Zhile [3 ]
Guo, Yuanjun [3 ]
Lv, Chen [4 ]
Xu, Xiaofeng [5 ]
Liu, Jichun [6 ]
机构
[1] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110819, Peoples R China
[2] Northeastern Univ, Key Lab Integrated Energy Optimizat & Secure Opera, Shenyang 110819, Peoples R China
[3] Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen 518055, Peoples R China
[4] China Elect Power Res Inst, Beijing 100192, Peoples R China
[5] North China Elect Power Univ, Dept Econ Management, Baoding 071003, Peoples R China
[6] Sichuan Univ, Sch Elect Engn, Chengdu 610065, Peoples R China
基金
中国国家自然科学基金;
关键词
industrial load flexibility; multi-energy flow systems; demand response; carbon market; sustainable development goals; optimization computing; LEVEL PROGRAMMING APPROACH; COMBINED HEAT; NATURAL-GAS; POWER-PLANT; ENERGY; ELECTRICITY; MARKETS; OPTIMIZATION; SYSTEM; MANAGEMENT;
D O I
10.3390/su17114938
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The global transition toward low-carbon energy systems necessitates fundamental innovations in demand-side flexibility, particularly in industrial load regulation. This study presents a systematic review and critical analysis of 90 key research works (2015-2025) to establish a comprehensive framework for industrial load flexibility enhancement. We rigorously examined the tripartite interdependencies among the following: (1) Multi-energy flow physical coupling, addressing temporal-scale disparities in electricity-thermal-gas coordination under renewable penetration; (2) Uncertainty quantification, integrating data-driven and physics-informed modeling for robust decision-making; (3) Market mechanism synergy, analyzing demand response, carbon-P2P hybrid markets, and regulatory policy impacts. Our analysis reveals three fundamental challenges: the accuracy-stability trade-off in cross-timescale optimization, the policy-model disconnect in carbon-aware scheduling, and the computational complexity barrier for real-time industrial applications. The paper further proposes a roadmap for next-generation industrial load regulation systems, emphasizing co-optimization of technical feasibility, economic viability, and policy compliance. These findings advance both academic research and practical implementations for carbon-neutral power systems.
引用
收藏
页数:31
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