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基于改进遗传算法的乡村综合能源系统优化设计研究

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在当前全球能源转型以及"双碳"背景下,乡村传统功能模式的高成本、高污染弊端日益明显;针对某些乡村地区目前存在的供能灵活性差、清洁度低等问题,结合乡村风、光资源更充分的优势,构建了一种含氢储能结构的新型综合能源系统及基于改进的C-NSGA-Ⅱ算法的容量配置与运行优化的设计方法,并设置"日均成本节约率""CO2减排率"以及"效率提升率"评价指标;实验表明所提出系统相比于乡村传统的能源分供系统,夏季典型日的3种指标结果为:21。75、91。03、97。24%;冬季典型日的结果为42。97、67。31、55。54%,显著提升供能系统的经济性、低碳性、节能性,对未来乡村能源结构转型具有一定的指导意义。
Research on Optimal Design of Rural Integrated Energy System with Hydrogen Storage Structure Based on Improved Genetic Algorithm
Under the backgrounds of global energy transformation and"dual carbon",the disadvantages of high cost and high pol-lution are becoming increasingly obvious in traditional rural models;Aiming at the problems of poor energy supply flexibility and low cleanliness in certain rural areas,this paper presents a new integrated energy system(IES)with hydrogen energy storage structure and a design method of capacity allocation and operation optimization based on the improved C-NSGA-Ⅱ algorithm in combination with the advantages of more abundant wind and light resources in rural areas.Set up evaluation indicators,such as the exergic efficiency improvement rate,average daily cost saving rate,CO2 emission reduction rate,and exergic efficiency improvement rate.Experimen-tal results show that compared with traditional energy distribution systems in rural areas,the proposed system has three indexes on typical summer days of 21.75%,91.03%and 97.24%and those on typical winter days of 42.97%,67.31%and 55.54%,which significantly improves the economy,low carbon and energy saving of the energy supply system,and has a certain guiding significance for the future rural energy structure transformation.

integrated energy systemsC-NSGA-Ⅱexergic efficiencyhydrogen energy storage

田崇翼、吴俊龙、严毅、石群

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山东建筑大学信息与电气工程学院,济南 250101

济南英华自动化技术有限公司,济南 250101

综合能源系统 C-NSGA-Ⅱ 效率 氢储能

2024

计算机测量与控制
中国计算机自动测量与控制技术协会

计算机测量与控制

CSTPCD
影响因子:0.546
ISSN:1671-4598
年,卷(期):2024.32(12)