Bidding strategy of energy storage in imperfectly competitive flexible ramping market via system dynamics method

Author(s):  
Chenyang Huang ◽  
Dong Han ◽  
Zheng Yan ◽  
Yiyan Li ◽  
Chenhao Sun ◽  
...  
2021 ◽  
Author(s):  
A. N. Medvedev ◽  
V. N. Timokhin ◽  
Yu. A. Nelyubina

1976 ◽  
Vol 7 ◽  
pp. 77-94
Author(s):  
Seiichi KAGAYA ◽  
Estuo YAMAMURA

Author(s):  
Yuri G. Raydugin

Unconventional risk quantification methods focused on risk assessments only are reviewed. It is shown that all unconventional methods are actually not risk quantification methods being aimed at evaluation of overall project durations and costs. Three methods are reviewed—parametric, artificial neural networks (ANN), and system dynamics. Reasons for high systematic errors and low accuracy of parametric methods are uncovered. They stem from using biased sampling—convenience and judgement samples—as well as from mathematical shortcomings of parametric methods. ANN methodology is positioned as a possible fundamental upgrade for parametric methods. It is shown that the ANN method also depends on quality of used samples. The system dynamics method is introduced to reveal non-linear interactions in project systems based on implications of project rework cycles. It is pointed out that if identified and addressed project risks are factored into the system dynamics modelling the latter could be requalified as a conventional methodology.


2014 ◽  
Vol 1073-1076 ◽  
pp. 2610-2613
Author(s):  
Ling Zhang ◽  
Lu Pan Wang ◽  
Le He ◽  
Hou Chen Li

City is a kind of synthetic system, which is composed of social, economic and environmental aspects, how to achieve a sustainable development is an important problem for most cities in the world. This paper made a literature review from the composite index method, urban metabolism method and system dynamics method to summary and analysis the urban sustainable development evaluation of existing method. The composite index method is the most concise approach and easy to understand, urban metabolism method can observe the operation of whole city subsystems dynamically, while system dynamics method truly simulates the relationship among city subsystems.


2011 ◽  
Vol 314-316 ◽  
pp. 487-491
Author(s):  
Xian Zhang

The influence brought by the granularity of task decomposition on the key factors of enterprise aliance was studied based on system dynamics method. These factors includs inter-restriction, product manufacturing time, collaboration fee, Alliance leader benefit, capability and compatibility. Causality diagram and system dynamics model were established for these factors. This paper also developed a simulation program for the granularity of task decomposition based on the system dynamics model and validated the effectiveness of the proposed model by a qualitative analysis. The results show that it is a workable method to research the granularity of task decomposition in enterprise aliance using system dynamics theory.


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