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Multi-objective Optimal Operation of Integrated Energy System Based on Improved Particle Swarm Optimization Algorithm
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Min DONG1, 2, Kezhen LIU2, Qingli ZHAO3, Leidan CHEN4, Yue YAO2, Xiong ZHAO1
Electric Drive | 2024, 54(2) : 41 - 48
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Electric Drive | 2024, 54(2): 41-48
Multi-objective Optimal Operation of Integrated Energy System Based on Improved Particle Swarm Optimization Algorithm
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Min DONG1, 2, Kezhen LIU2, Qingli ZHAO3, Leidan CHEN4, Yue YAO2, Xiong ZHAO1
Affiliations
  • 1 Key Laboratory of Intelligent Manufacturing Innovation in Yunnan Universities,Yunnan College of Business Management,Kunming 650304,Yunnan,China
  • 2 Faculty of Electric Power Engineering,Kunming University of Science and Technology,Kunming 650504,Yunnan,China
  • 3 China Energy Engineering Group Yunnan Electric Power Design Institute Co.,Ltd.,Kunming 650051,Yunnan,China
  • 4 Huaneng Lancang River Hydropower Co.,Ltd.,Kunming 650214,Yunnan,China
Published: 2024-02-20 doi: 10.19457/j.1001-2095.dqcd24540
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Under the "dual carbon" goal,the electric energy systems need to gradually develop towards the way of energy saving and low carbon. The integrated energy system (IES) is an important measure to solve energy and environmental protection problems. At present,the research on IES mainly focuses on distributed energy,energy storage grid connection and multi-objective optimization. Intelligent algorithm is an essential way to deal with optimization problems. However,with the complexity of the model,the traditional intelligent algorithms have the problem of poor convergence and easy to fall into the local optimum. Centering on the objectives of economy,environmental protection and stable operation,a multi-objective optimization model of IES based on improved particle swarm optimization considering three indicators of economy,environmental protection and output imbalance was built. Firstly,the IES model was established with the goal of optimizing the three indicators. Secondly,the membership function and the analytic hierarchy process (AHP) were used to normalize and determine the weight coefficient. Finally,the particle concentration evaluation operator was introduced to improve the particle swarm algorithm to solve the proposed model,and the operating results of the system under single-objective and multi-objective conditions were analyzed,which verifies the effectiveness of the model and algorithm. The improved algorithm significantly improve the convergence speed and effectively avoide the particles falling into the local optimum.

integrated energy system(IES)  /  economic dispatch  /  energy conservation and environmental protection  /  particle concentration  /  improved particle swarm optimization algorithm
Min DONG, Kezhen LIU, Qingli ZHAO, Leidan CHEN, Yue YAO, Xiong ZHAO. Multi-objective Optimal Operation of Integrated Energy System Based on Improved Particle Swarm Optimization Algorithm[J]. Electric Drive, 2024 , 54 (2) : 41 -48 . DOI: 10.19457/j.1001-2095.dqcd24540
Year 2024 volume 54 Issue 2
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Article Info
doi: 10.19457/j.1001-2095.dqcd24540
  • Receive Date:2022-08-04
  • Online Date:2026-01-13
  • Published:2024-02-20
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History
  • Received:2022-08-04
  • Revised:2022-08-28
Funding
Affiliations
    1 Key Laboratory of Intelligent Manufacturing Innovation in Yunnan Universities,Yunnan College of Business Management,Kunming 650304,Yunnan,China
    2 Faculty of Electric Power Engineering,Kunming University of Science and Technology,Kunming 650504,Yunnan,China
    3 China Energy Engineering Group Yunnan Electric Power Design Institute Co.,Ltd.,Kunming 650051,Yunnan,China
    4 Huaneng Lancang River Hydropower Co.,Ltd.,Kunming 650214,Yunnan,China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

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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