首页|基于多目标优化的多能互补冷热电联产系统运行优化研究

基于多目标优化的多能互补冷热电联产系统运行优化研究

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针对多能互补冷热电联产系统构建了光-氢-气的多能源互补系统,旨在满足用户对冷、热、电和气的需求;为了优化系统性能,构建了包含经济、环保和掺氢比例的多能互补冷热电联产系统多目标优化评价体系,并以此为基础建立多目标优化调度的混合整数线性规划模型;通过得到的帕累托前沿解集,利用优劣解距离法找出解集中的最优解;在改变掺入天然气管网的掺氢比例的过程中,得到了热网和冷网各设备的最佳运行情况.研究结果显示:在固定用户负荷的条件下,掺氢比例为14.47%时,每日系统运行成本最低为26 794.31元,碳排放量最少为162.03kg,与2个参考系统相比,该方案不仅经济性较好,而且具有节能减排的特点,综合评价最优.将可再生能源转化为电力,再转换成氢气掺入天然气管网,按照一定的掺混比例应用到冷热电联产系统中,可大幅减少天然气用量,提高了能源利用效率,最大限度地消纳可再生能源,并降低了碳排放量.
Research on operation optimization of multi-energy complementary cogeneration system based on multi-objective optimization
A multi-energy complementary system integrating solar-hydrogen-gas has been developed for multi-energy complementary cogeneration systems,aimed at meeting users'demands for cooling,heating,power,and gas.In order to optimize the system performance,a multi-objective optimization evaluation system of the multi-energy complementary cooling,heating and power cogeneration system including economy,environmental protection and hydrogen doping ratio is constructed,and a mixed-integer linear programming model for multi-objective optimal scheduling is established based on this system.With the obtained Pareto frontier solution set,the optimal solution in the solution set is found by using the method of distance to the ideal solution to identify the optimal solution.By changing the blending ratio of hydrogen injected into the natural gas pipeline network,the optimal operating conditions for the devices in the electricity,heat,and cold networks are obtained.The results show that,under the condition of fixed user load,with the hydrogen doping ratio of 14.47%,the system operating cost per day is the lowest(26 794.31 yuan),and the carbon emission is the least(162.03 kg).The results indicate that the proposed scheme is not only economically better,but also has the characteristics of energy saving and emission reduction,and performs the best in comprehensive evaluation,compared with the 2 reference systems.The conversion of renewable energy sources into electricity,followed by the transformation into hydrogen and its incorporation into the natural gas pipeline network according to a specified blending ratio for application in combined cooling,heating,and power generation systems,significantly reduces the use of natural gas.This approach enhances energy utilization efficiency,maximizes the integration of renewable energy sources,and reduces carbon emissions.

multi-energy complementaryNSGA-Ⅱ algorithmmixed-integer linear programminghydrogen blending of natural gasrenewable energy

李鑫伟、陈彬剑、于明志、刘吉营、杨开敏、周世玉、毛煜东

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山东建筑大学热能工程学院,山东 济南 250101

多能互补 NSGA-Ⅱ算法 混合整数线性规划 天然气掺氢 可再生能源

济南市科研带头人工作室项目山东省高等学校"青创人才引育计划"

202333050

2024

热力发电
西安热工研究院有限公司,中国电机工程学会

热力发电

CSTPCD北大核心
影响因子:0.765
ISSN:1002-3364
年,卷(期):2024.53(7)
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