Mobile Energy Hub Planning Model Considering the Uncertainty of Urban Multi-energy System

被引:2
作者
Yao Z. [1 ]
Zhang T. [1 ]
Zhao Y. [2 ]
机构
[1] School of Electrical Engineering, Shenyang University of Technology, Shenyang
[2] Shenyang Institute of Engineering, Shenyang
来源
Gaodianya Jishu/High Voltage Engineering | 2024年 / 50卷 / 06期
关键词
energy balance; mobile energy hub; multi-energy system; multi-temporal; optimize planning; spatial-scale; transportation network; uncertainty;
D O I
10.13336/j.1003-6520.hve.20231674
中图分类号
学科分类号
摘要
Aiming at the difficulty of energy balance between low-carbon renewable energy supply and electricity, heat, and gas loads and its time-space uncertainty, we proposed a mobile energy hub (MEH) model and planning method for urban multi-energy system based on traffic flow and multi-source energy flow coordination. First, we studied the source-grid-load energy and power balance of the urban multi-energy system powered by low-carbon high-proportion renewable energy and its regulation demand characteristics, and established an MEH model with flexible “electricity-gas-hydrogen” energy conversion and storage characteristics. Secondly, taking the flow dynamics of the transportation network and its transportation cost into consideration, we established a multi-energy flow space-time coordination model based on the coordination of the transportation network and the urban multi-energy system network and investigated the energy characteristics of the MEH based on the MEH model. Thirdly, taking the uncertainty of renewable energy output and load into consideration, we proposed an uncertainty model of urban multi-energy system, and established the MEH planning model with the minimum comprehensive investment and operation cost. The simulation results of the example show that the proposed MEH planning model can effectively improve the economy of urban multi-energy system maintaining a high level of energy balance, and can provide better multi-temporal and spatial-scale energy regulation characteristics for multi-energy networks with large energy supply scales. © 2024 Science Press. All rights reserved.
引用
收藏
页码:2452 / 2466
页数:14
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