Modeling Method of Interaction System for Intelligent GIS Based on IEC61850

2013 ◽  
Vol 718-720 ◽  
pp. 2163-2170
Author(s):  
Pei Qing Miao ◽  
Xin Jian Tang ◽  
Feng Qing Du ◽  
Xing Lie Lei ◽  
Xiu Chen Jiang

GIS is now widely applied in power systems. It might lead to severe consequence when accidents take place, so online monitoring on GIS systems is necessary. Based on function analysis of the needs of GIS intelligent condition monitoring, a modeling method, a communication system and data exchanging interfaces, meeting IEC 61850 intrinsic ideas, are presented. Sharing and interacting strategies for intelligently-monitored GIS condition information are discussed. Focusing on MMS-based server/client communication mode, some information exchanging principles based on MMS messaging, logs and files are clarified. Server-client information exchanging communication programs are designed, and the flow charts of essential functions and client/server are also presented.


2019 ◽  
Vol 34 (3) ◽  
pp. 1771-1779
Author(s):  
Rodrigo Trentini ◽  
Rudiger Kutzner ◽  
Lutz Hofmann ◽  
Jose de Oliveira ◽  
Ademir Nied


Energies ◽  
2019 ◽  
Vol 12 (21) ◽  
pp. 4173
Author(s):  
Zehua Dai ◽  
Li Wang ◽  
Lexuan Meng ◽  
Shanshui Yang ◽  
Ling Mao

The transportation sector is undergoing electrification to gain advantages such as lighter weight, improved reliability, and enhanced efficiency. As contributors to the safety of embedded critical functions in electrified systems, better sizing of electric machines in vehicles is required to reduce the cost, volume, and weight. Although the designs of machines are widely investigated, existing studies are mostly complicated and application-specific. To satisfy the multi-level design requirements of power systems, this study aims to develop an efficient modeling method of electric machines with a background of aircraft applications. A variable-speed variable-frequency (VSVF) electrically excited synchronous generator is selected as a case study to illustrate the modular multi-physics modeling process, in which weight and power loss are the major optimization goals. In addition, multi-disciplinary design optimization (MDO) methods are introduced to facilitate the optimal variable selection and simplified model establishment, which can be used for the system-level overall design. Several cases with industrial data are analyzed to demonstrate the effectiveness and superior performance of the modeling method. The results show that the proposed practices provide designers with accurate, fast, and systematic means to develop models for the efficient design of aircraft power systems.



2021 ◽  
pp. 1145-1155
Author(s):  
Fuqiang Sun ◽  
Menghua Zhang ◽  
Weijie Huang ◽  
Yongfeng Zhang ◽  
Bo Shi ◽  
...  


2014 ◽  
Vol 977 ◽  
pp. 326-329
Author(s):  
Shi Wei Lin

In this paper, the remote data communication system based on GPRS composed of the data center and transmission terminal, which are connected through the Internet and GPRS network.. Taking the client/server model and the connection serve as a whole is to carry out network transmission.





Energies ◽  
2019 ◽  
Vol 12 (18) ◽  
pp. 3439 ◽  
Author(s):  
Haiyan Zhang ◽  
Minfang Peng ◽  
Josep M. Guerrero ◽  
Xingle Gao ◽  
Yanchen Liu

The strong coupling between the power grid and communication systems may contribute to failure propagation, which may easily lead to cascading failures or blackouts. In this paper, in order to quantitatively analyse the impact of interdependency on power system vulnerability, we put forward a “degree–electrical degree” independent model of cyber-physical power systems (CPPS), a new type of assortative link, through identifying the important nodes in a power grid based on the proposed index–electrical degree, and coupling them with the nodes in a communication system with a high degree, based on one-to-one correspondence. Using the double-star communication system and the IEEE 118-bus power grid to form an artificial interdependent network, we evaluated and compare the holistic vulnerability of CPPS under random attack and malicious attack, separately based on three kinds of interdependent models: “degree–betweenness”, “degree–electrical degree” and “random link”. The simulation results demonstrated that different link patterns, coupling degrees and attack types all can influence the vulnerability of CPPS. The CPPS with a “degree–electrical degree” interdependent model proposed in this paper presented a higher robustness in the face of random attack, and moreover performed better than the degree–betweenness interdependent model in the face of malicious attack.





Author(s):  
YUPING LU ◽  
MIN YU ◽  
L. L. LAI ◽  
XIA LIN

The detection of insulators contamination is difficult in power systems because many factors can influence the pollution. The contamination condition of insulators is usually estimated by detecting the root mean square (r.m.s) of surface leakage current via online-monitoring system. It ignores the influence of environmental factors, such as temperature, humidity, etc. As these factors are fuzzy-characterized, a new method based on Fuzzy Neural Network (FNN) is proposed to improve traditional insulation contamination detection. The renewed structure of FNN is put forward. The evaluation of contamination severity of insulators is achieved through FNN, which are trained by the field samples. The results prove the validity of the method proposed in the paper and can be used to eliminate the insulator from flashover fault and improve the condition-based maintenance (CBM).



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