Optimized allocation of multi-energy complementary distributed energy system based on genetic algorithm

doi:10.3969/j.issn.1674-1951.2021.01.009

Abstract

Abstract:

Integrating distributed energy with multi-energy complementary systems,multi-energy complementary distributed energy system（MCDES） achieves energy cascade utilization, optimized the allocation of their capacities, and realizes energy saving and pollutant reduction. Under current situation of new energies, analyzing wind power generation models, photovoltaic power generation models, gas turbine models and cooling and heating equipment models comprehensively, a user-side MCDES is set up and takes economy, environment protection and energy saving as its evaluation indicators. The capacities of the gas turbine, wind turbine and photovoltaic panel in the system are optimized by genetic algorithm. Finally, the optimization model is applied to Taixing Hongqiao Industrial Park, and its configuration with the optimal comprehensive operating indicators is obtained.

Key words: multi-energy complementary distributed energy system, integrated energy, user side, genetic algorithm, optimal configuration, comprehensive operation indicator

CLC Number:

TM727.2:TK01 ⁺9

ZHANG Wenpu, WANG Qianggang. Optimized allocation of multi-energy complementary distributed energy system based on genetic algorithm[J]. Huadian Technology, 2021, 43(1): 52-58.

Figures/Tables 9

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设备名称	单位容量初投资成本
分布式风机	570.0
分布式光伏	410.0
燃气轮机	268.0
余热锅炉	78.0
燃气锅炉	60.0
吸收式制冷机	103.0
电制冷机	61.2

项目	参数
燃气轮机发电效率	0.3
电制冷机循环倍率	3.0
燃烧天然气的CO₂排放系数/[(kg·(MW·h)^-1]	200
环境成本系数	0.018
余热锅炉效率	0.7
吸收式制冷机循环倍率	1.2
购电的CO₂排放系数/[(kg·(MW·h)^-1]	861

设备名称	容量/MW
分布式风机	23.00
分布式光伏	38.00
燃气轮机	85.00
燃气锅炉	232.41
吸收式制冷机	19.50
电制冷机	45.50

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