|Table of Contents|

Optimization method for self-consistent configuration of green public-water combined transportation systems(PDF)

长安大学学报（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2024年5期
Page:
204-218
Research Field:
交通能源融合技术专题
Publishing date:

Info

Title:
Optimization method for self-consistent configuration of green public-water combined transportation systems
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)
Keywords:
traffic engineering;  fuzzy C-means clustering;  road-water intermodal transport;  self-consistent energy system;  clean energy;  immune optimization algorithm
PACS:
U411
DOI:
10.19721/j.cnki.1671-8879.2024.05.017
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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Last Update: 2024-10-20