[1]王 杰,黎玉强,袁旻忞.绿色公水联运系统自洽配置优化方法[J].长安大学学报(自然科学版),2024,44(5):204-218.[doi:10.19721/j.cnki.1671-8879.2024.05.017]
　WANG Jie,LI Yu-qiang,YUAN Min-min.Optimization method for self-consistent configuration of green public-water combined transportation systems[J].Journal of Chang’an University (Natural Science Edition),2024,44(5):204-218.[doi:10.19721/j.cnki.1671-8879.2024.05.017]
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绿色公水联运系统自洽配置优化方法()
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长安大学学报（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

卷:
第44卷
期数:
2024年5期
页码:
204-218
栏目:
交通能源融合技术专题
出版日期:
2024-10-10

文章信息/Info

Title:
Optimization method for self-consistent configuration of green public-water combined transportation systems
文章编号:
1671-8879(2024)05-0204-15
作者:
王 杰1; 黎玉强2; 袁旻忞2
(1. 广州大学 电子与通信工程学院,广东 广州 510006; 2. 交通运输部公路科学研究所,北京 100088)
Author(s):
WANG Jie1;  LI Yu-qiang2;  YUAN Min-min2
(1. School of Electronics and Communication Engineering, Guangzhou University, Guangzhou 510006,Guangdong, China; 2. Research Institute of Highway Ministry of Transport, Beijing 100088, China)
关键词:
交通工程;  模糊C均值聚类;  公水联运;  自洽能源系统;  清洁能源;  免疫优化算法
Keywords:
traffic engineering;  fuzzy C-means clustering;  road-water intermodal transport;  self-consistent energy system;  clean energy;  immune optimization algorithm
分类号:
U411
DOI:
10.19721/j.cnki.1671-8879.2024.05.017
文献标志码:
A
摘要:
针对公水联运清洁能源缺乏有效配置策略和经济性的问题,提出一种综合考虑成本和供给能力的基于内外双层免疫优化算法的配置方法,实现多能互补、协同优化。首先,分析港口与公路运行能耗的构成和影响因素,采用基于主体建模的方法,针对港口和公路不同的用能场景,利用模糊C均值聚类建立多场景需求运行策略。其次,构建包含风力发电、光伏发电、波浪能、潮汐能等多种形态清洁能源及多种储能设施(蓄电池、氢储能、抽水蓄能等)的港口与公路自洽能源系统结构。最后,在满足系统约束条件的前提下,以最小年化总成本和最大清洁能源出力为目标,将外层容量配置优化和内层运行成本优化相结合,对系统进行仿真试验求解。研究结果表明:混合多种形态清洁能源规划方案可使系统的清洁能源利用率达到99.71%,供电可靠性达到99.81%,证实了提出模型和方法有效性和准确性; 引入抽水蓄能后,蓄电池配置降低了75.5%,储氢罐配置减少了29.3%,总成本下降了17.2%; 潮汐发电机的应用显著减少了对风力发电的依赖,投资成本减少了29.7%; 该配置方案到14年时总成本与常规市电供应成本达成平衡,20年可节省电能1.09×1010 kW·h,减少碳排放4.83×106 t,对提升环境可持续性具有显著效益; 提出的优化配置方法能够合理分配实现港口与公路源荷储容量配置,为未来绿色公水联运系统建设提供理论依据和技术支撑。
Abstract:
In response to the issue of the ineffective allocation strategies and economic viability of clean energy in road-water intermodal transport, a configuration method that takes into account both costs and supply capabilities was introduced, based on an inner and outer dual-layer immune optimization algorithm. Multi-energy complementarity and collaborative optimization were achieved by this approach. Initially, the composition and influencing factors of energy consumption in port and road operations were analyzed, employing a subject-based modeling method. For different energy usage scenarios in ports and roads, multi-scenario demand operation strategies were established using fuzzy C-means clustering. Subsequently, a self-consistent energy system structure for ports and roads was constructed, which includes various forms of clean energy such as wind power, photovoltaic power, wave energy, and tidal energy, along with various energy storage facilities like batteries, hydrogen storage, and pumped hydro storage. Ultimately, under the premise of meeting system constraints, the system was optimized for the minimum annualized total cost and maximum clean energy output by combining the outer layer capacity configuration optimization with the inner layer operational cost optimization, and the system was solved through simulation experiments. The results show that a hybrid planning scheme of various forms of clean energy could achieve a clean energy utilization rate of 99.71%, and a power supply reliability of 99.81%, confirming the effectiveness and correctness of the proposed model and method. The case analysis demonstrated that after introducing pumped hydro storage, the configuration of batteries was reduced by 75.5%, the configuration of hydrogen storage tanks was decreased by 29.3%, and the total cost was lowered by 17.2%. Moreover, the application of tidal generators significantly reduced the dependence on wind power, and the investment cost was reduced by 29.7%. This configuration plan will achieve cost parity with conventional grid power supply after 14 years, saving 1.09×1010 kW·h of electrical energy and reducing carbon emissions by 4.83×106 tons over 20 years, which has significant benefits for enhancing environmental sustainability. The optimization configuration method proposed in the paper can reasonably allocate the capacity of ports and roads to achieve source-load-storage configuration, and providing theoretical basis and technical support for the construction of future green road-water intermodal transport systems.6 tabs, 9 figs, 25 refs.

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备注/Memo

备注/Memo:
收稿日期:2024-05-13
基金项目:国家重点研发计划项目(2021YFB2601300,2021YFB1600200)
作者简介:王 杰(1979-),女,湖北荆州人,教授,工学博士,E-mail:wangjie@gzhu.edu.cn。
通讯作者:袁旻忞(1985-),男,江苏徐州人,副研究员,理学博士,E-mail:mm.yuan@rioh.cn。
更新日期/Last Update: 2024-10-20