Chinese energy supply and demand structure model and power grid benefit analysis

Author(s):  
Xiaoxia Wei ◽  
Jie Liu ◽  
Tiezhong Wei ◽  
Lirong Wang
2017 ◽  
Vol 5 (2) ◽  
pp. 163-169 ◽  
Author(s):  
Xiaoxia Wei ◽  
◽  
Jie Liu ◽  
Tiezhong Wei ◽  
Lirong Wang

2018 ◽  
Vol 2018 ◽  
pp. 1-10
Author(s):  
Z. Y. Liu ◽  
C. B. Li ◽  
M. Y. Jian

In order to study the adaptability of urban agglomeration transport supply and demand structure, and to provide the basis for decision-makers when optimizing the structure of transport supply and demand in urban agglomeration, this paper proposed and verified a structure equilibrium theory on the basis of entropy theory. Firstly, based on the analysis of the influencing factors, an urban agglomeration transport demand structure model was established using entropy theory. Secondly, according to the actual passenger and freight turnover of urban agglomeration, a transport supply structure model was proposed with entropy theory. Then, by comparing the two entropy models, the equilibrium state of an urban agglomeration transport structure was analyzed. Finally, HuBaoOr urban agglomeration was taken as an example to verify the science and effectiveness of this discriminant model. The research in this paper lays a theoretical foundation for the achievement of urban agglomeration transport equilibrium structure and for realizing the best economic benefits and social benefits.


2014 ◽  
Vol 1008-1009 ◽  
pp. 779-782
Author(s):  
Hu Ping Yang ◽  
Jie Zhao ◽  
Shi Wei Zuo

In this article, it describes the energy supply and demand situation in Jiangxi Province. To forecast the electricity demand in Jiangxi Province, in-depth analysis the significance of implements the strategy of “Foreign electricity to enter Jiangxi”. In accordance with the national UHV power grid development plan, Combined with characteristics of Jiangxi 500 kV main grid architecture, formulate overall objectives and specific programs of “Foreign electricity to enter Jiangxi”, put forward “Foreign electricity to enter Jiangxi” strategy safeguards.


2013 ◽  
Vol 860-863 ◽  
pp. 2600-2605
Author(s):  
Wei Wang ◽  
Chen Zhang ◽  
Wen Yan Liu

The supply and demand structure of Chinas coal market and electricity market is undergoing profound changes. To respond to the conflict between coal industry and power industry, coal-electricity integration has gained support from The State through relevant policies. The development of coal-electricity integration plays a vital role in balancing the energy industrial structure. This paper introduces the evolution of coal-electricity integration policy and discusses the existing pool model of Chinas coal-electricity integration. And this paper also makes an analysis of coal-electricity integrations impact on the development of power grid, providing recommendations for power enterprises facing the new situation of energy development.


2015 ◽  
Vol 155 ◽  
pp. 485-501 ◽  
Author(s):  
Javier Silvente ◽  
Georgios M. Kopanos ◽  
Efstratios N. Pistikopoulos ◽  
Antonio Espuña

Processes ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 1918
Author(s):  
Shanshan Shi ◽  
Chen Fang ◽  
Haojing Wang ◽  
Jianfang Li ◽  
Yuekai Li ◽  
...  

As China proposes to achieve carbon peak by 2030 and carbon neutrality by 2060, as well as the huge pressure on the power grid caused by the load demand of the energy supply stations of electric vehicles (EVs), there is an urgent need to carry out comprehensive energy management and coordinated control for EVs’ energy supply stations. Therefore, this paper proposed a two-step intelligent control method known as ISOM-SAIA to solve the problem of the 24 h control and regulation of green/flexible EV energy supply stations, including four subsystems such as a photovoltaic subsystem, an energy storage subsystem, an EV charging subsystem and an EV battery changing subsystem. The proposed control method has two main innovations and contributions. One is that it reduces the computational burden by dividing the multi-dimensional mixed-integer programming problem of simultaneously optimizing the 24 h operation modes and outputs of four subsystems into two sequential tasks: the classification of data-driven operation modes and the rolling optimization of operational outputs. The other is that proper carbon transaction costs and carbon emission constraints are considered to help save costs and reduce carbon emissions. The simulation analysis conducted in this paper indicates that the proposed two-step intelligent control method can help green/flexible EV energy supply stations to optimally allocate energy flows between four subsystems, effectively respond to peak shaving and valley filling of power grid, save energy costs and reduce carbon emissions.


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