Risk Management of Investment in Power Grid Companies Based on the Interpretative Structural Modeling Method

Author(s):  
Yu Jiang ◽  
Ke Lv ◽  
Yan Lu ◽  
Dongyu Wang ◽  
Min Yu
Author(s):  
Cunbin Li ◽  
Ding Liu ◽  
Yi Wang ◽  
Chunyan Liang

AbstractAdvanced grid technology represented by smart grid and energy internet is the core feature of the next-generation power grid. The next-generation power grid will be a large-scale cyber-physical system (CPS), which will have a higher level of risk management due to its flexibility in sensing and control. This paper explains the methods and results of a study on grid CPS’s behavior after risk. Firstly, a behavior model based on hybrid automata is built to simulate grid CPS’s risk decisions. Then, a GCPS risk transfer model based on cooperative game theory is built. The model allows decisions to ignore complex network structures. On this basis, a modified applicant-proposing algorithm to achieve risk optimum is proposed. The risk management model proposed in this paper can provide references for power generation and transmission decision after risk as well as risk aversion, an empirical study in north China verifies its validity.


2015 ◽  
Vol 792 ◽  
pp. 8-14
Author(s):  
Gennady Petrovich Kornilov ◽  
Ildar Ravil’evich Abdulveleev ◽  
Timur Rifkatovich Khramshin

The article presents the comparative analysis of influence frequency regulated electric drive and current electric drive to harmonic structure of voltage of power grid. There was obtained the dependence of total harmonic distortion (THD) of curve on loading power for 2 types of valve converters. The effectiveness is shown in use of filter compensating device, connected at low side of converting transformer. There were defined the ranges of filter adjusting for improving THD of voltage curve. The described solutions are performed by the structural modeling method of Simulink packet in Matlab environment.


2013 ◽  
Vol 291-294 ◽  
pp. 2079-2083
Author(s):  
Hong Peng He ◽  
Yan Hao Huang ◽  
Jun Liu ◽  
Jian Lei Fan

Smart grid makes new request for the representation and application of power grid knowledge. To solve the problem of “information isolated island” caused by the continuous development of power grid and the ineffectively use of massive domain knowledge, ontology technology is introduced into the smart grid field. Each link of smart grid is analyzed and new request for knowledge it makes is introduced. Then a simple introduction of ontology and ontology modeling is made. Referring to the defects of existing ontology modeling methods and considering the specific reality of smart grid, an ontology modeling method suitable for the smart grid field is presented, which is aiming at providing guidance on ontology modeling of smart grid. Finally a modeling example is given which proves the feasibility and efficiency of the method.


2009 ◽  
Vol 65 (10) ◽  
pp. 1385-1390 ◽  
Author(s):  
Nozomi Kudo ◽  
Kunio Kurowarabi ◽  
Takayoshi Terashita ◽  
Naoki Nishimoto ◽  
Katsuhiko Ogasawara

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