A steady-state energy flow analysis method for integrated natural gas and power systems based on topology decoupling

2022 ◽  
Vol 306 ◽  
pp. 118007
Author(s):  
Yunpeng Jiang ◽  
Zhouyang Ren ◽  
Xin Yang ◽  
Qiuyan Li ◽  
Yan Xu
Author(s):  
Xiaoqing Ji ◽  
Fei Wang ◽  
Feng Song ◽  
Junxu Liu ◽  
Jie Liu ◽  
...  

2020 ◽  
Vol 1654 ◽  
pp. 012103
Author(s):  
Xiaoqing Ji ◽  
Fei Wang ◽  
Feng Song ◽  
Junxu Liu ◽  
Jie Liu ◽  
...  

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 95487-95495 ◽  
Author(s):  
Qing-Wei Meng ◽  
Qing-Shuang Guan ◽  
Nan Jia ◽  
Li-Xia Zhang ◽  
Yan-Song Wang

2017 ◽  
Vol 32 (3) ◽  
pp. 1970-1979 ◽  
Author(s):  
Sheng Chen ◽  
Zhinong Wei ◽  
Guoqiang Sun ◽  
Kwok W. Cheung ◽  
Yonghui Sun

2010 ◽  
Vol 139-141 ◽  
pp. 1365-1369
Author(s):  
Hong Lei Wang ◽  
Dong Xiang ◽  
Li Feng Jiang ◽  
Guang Hong Duan ◽  
Hong Chao Zhang

Vehicle crashworthiness is one of the most important indicators to assess the automotive performance, which is directly related with passenger’s life and safety. Therefore, more attention has been paid to improve the automotive passive safety. This paper presents the analysis method based on energy flow analysis to solve the automotive crashworthiness problem. The energy transfer model is built based on the constraints analysis for product performance and the rational energy flow element partition. According to the energy transfer model, the energy absorption of each component can be attained from the finite element crash simulation result and also the energy distribution relationship can be analyzed. Based on the analysis results, the full front impact crashworthiness of a car is improved by modifying the energy flow path and distribution. It also demonstrates that the method is effective to solve the automotive crashworthiness problem.


Energies ◽  
2019 ◽  
Vol 12 (11) ◽  
pp. 2043
Author(s):  
Shouxiang Wang ◽  
Shuangchen Yuan

As integrated electrical and natural-gas systems (IENGS) are popularized, the uncertainties brought by variation of electrical load, power generation, and gas load should not be ignored. The aim of this paper is to analyze the impact of those uncertain variables on the steady-state operation of the whole systems. In this paper, an interval energy flow model considering uncertainties was built based on the steady-state energy flow. Then, the Krawczyk–Moore interval iterative method was used to solve the proposed model. To obtain precise results of the interval model, interval addition and subtraction operations were performed by affine mathematics. The case study demonstrated the effectiveness of the proposed approach compared with Monte Carlo simulation. Impacts of uncertainties brought by the variation of electrical load, power generation, and gas load were analyzed, and the convergence of energy flow under different uncertainty levels of electrical load was studied. The results led to the conclusion that each kind of uncertainties would have an impact on the whole system. The proposed method could provide good insights into the operating of IENGS with those uncertainties.


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