Optimal configuration of integrated energy system based on improved quantum particle swarm optimization

doi:10.3969/j.issn.2097-0706.2022.10.003

Abstract

Abstract:

Traditional energy systems can hardly meet the ever-changing requirements of energy mix adjustment and users' demand.But an integrated energy system can give full play to the complementarity of the coupled cold，heat and electrical energy.Therefore，with the optimal system economy as the optimization objective，the capacities of gas turbines，gas boilers，heat storage tanks，absorption chillers and electric chillers in an integrated energy system model are optimized by improved quantum particle swarm optimization algorithm （IQPSO）.Compared the results with those of other search algorithms，it is found out that of the IQPSO can take the economy and environmental protection into account at the same time，which optimizes the system configuration parameters and provides a theoretical basis for the subsequent energy-supply system planning.

Key words: IQPSO, integrated energy system, optimal configuration, chaos search

CLC Number:

TK01：TM274

WANG Xiang, HU Ming, YAN Yan, WANG Ruirui. Optimal configuration of integrated energy system based on improved quantum particle swarm optimization[J]. Integrated Intelligent Energy, 2022, 44(10): 19-24.

Figures/Tables 4

References 18

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算法	配置容量/kW					收敛精度/万元	运行时间/s
算法	燃气轮机	燃气锅炉	蓄热槽	吸收式制冷机	电制冷机	收敛精度/万元	运行时间/s
IQPSO	1 941	2 105	3 232	3 175	4 956	2 431.7	38.32
QPSO	1 900	2 309	3 358	3 536	4 960	2 431.8	34.54
PSO	1 976	2 244	3 589	3 571	4 963	2 431.9	28.76