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Research on multi-objective optimal scheduling method of green power and low carbon aluminum based synergy considering electric energy substitution and demand response
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Baoyong LIU1, Yitong LIN2, Liang TANG1, Jie SHI2, Xinxue ZHANG2
Electrical Engineering | 2025, 26(2) : 26 - 34
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Electrical Engineering | 2025, 26(2): 26-34
• Research & Development •
Research on multi-objective optimal scheduling method of green power and low carbon aluminum based synergy considering electric energy substitution and demand response
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Baoyong LIU1, Yitong LIN2, Liang TANG1, Jie SHI2, Xinxue ZHANG2
Affiliations
  • 1 Shandong Electric Power Engineering Consulting Institute Co., Ltd, Ji’nan 250013
  • 2 School of Physics and Technology, University of Ji’nan, Ji’nan 250022
Published: 2025-02-15
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With the growth of renewable energy and the increase of low carbon demand, alumina industry is facing the challenge of optimizing energy consumption. Targeting industrial production at high renewable energy ratios, it is optimized through electric energy substitution and demand response. In this paper, other green power real-time regulation is taken as the object of demand response, and a multi-objective demand response model of alumina production electricity consumption is established on the basis of guaranteeing that the rate of wind and light abandonment is minimized, and with the goal of satisfying the system economy and guaranteeing the output. The normal boundary intersection (NBI) method and nondominated sorting genetic algorithm Ⅱ (NSGA-Ⅱ) are used to optimize and solve the model. According to the analysis results of actual cases, the NBI algorithm performs better in reducing the electricity cost and the rate of power abandonment, with a cost reduction of 73% and a rate of power abandonment of 16.65 percentage points, compared to 70% and 15.65 percentage points, respectively, for NSGA-Ⅱ.

demand response  /  alumina  /  multi-objective optimization  /  normal boundary intersection (NBI) method  /  renewable energy  /  nondominated sorting genetic algorithm Ⅱ (NSGA-Ⅱ)
Baoyong LIU, Yitong LIN, Liang TANG, Jie SHI, Xinxue ZHANG. Research on multi-objective optimal scheduling method of green power and low carbon aluminum based synergy considering electric energy substitution and demand response[J]. Electrical Engineering, 2025 , 26 (2) : 26 -34 .
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Article Info
  • Receive Date：2024-08-28
  • Online Date：2025-11-09
  • Published：2025-02-15
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  • Received：2024-08-28
  • Revised：2024-11-28
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    1 Shandong Electric Power Engineering Consulting Institute Co., Ltd, Ji’nan 250013
    2 School of Physics and Technology, University of Ji’nan, Ji’nan 250022
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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