Power flow classification for static security assessment

Author(s):  
D. Niebur ◽  
A.J. Germond
Author(s):  
Elutunji Buraimoh ◽  
Funso Kehinde Ariyo ◽  
Micheal Omoigui ◽  
Innocent Ewaen Davidson

Electrical power systems are often required to operate at full loading capacity due to ever increasing demand and transmission line contingencies with limited grid expansion. This results in line overload and operating near system limit, thereby threatening system security. Utilization of existing system can be achieved using Flexible Alternating Current Transmission System (FACTS) devices without violating system limits. This research investigation involves static security assessment of a modelled IEEE 30-bus test system in MATLAB/SIMULINK/PSAT environment. The security status with the incorporation of combined Static Var Compensator (SVC), Thyristor Controlled Series Compensator (TCSC) and Interline Power Flow Controller (IPFC) were determined. Prior to this, Contingency Severity Index (CSI) based on Performance Index (PI) of Voltage and Active Power was employed to determine the optimal location of the FACTS devices. Sequential Quadratic Programming (SQP) was applied to determine the optimal sizing/percentage compensation of FACTS. Subsequently, power system with and without the incorporation of FACTS devices were modelled. The ability of the compensated system to withstand credible transmission line contingencies without violating the normal operating limits (bus voltage and line thermal) was examined and presented. The paper presents how combined SVC/TCSC and an IPFC aided the power system to boost its steady state security in the face of possible line contingencies.


2014 ◽  
Vol 960-961 ◽  
pp. 1120-1123
Author(s):  
Bing Jie Jin ◽  
Bu Han Zhang ◽  
Ke Wang ◽  
Wei Si Deng ◽  
Dan Zeng ◽  
...  

Research of power flow evenness has great significance for grid steady state analysis. This paper researched for a method for power flow evenness analysis through entropy theory. According to current power flow distribution and branch power limits, the branch load ratio distribution could be obtained, and the power flow entropy was calculated based on discrete information entropy theory. The study case indicates that the power flow entropy effectively describes the power flow evenness. With certain system load level, the system security level will be dramatically declined when power flow evenness reduces to a certain level, which is demonstrated in the case meanwhile. Power flow evenness analysis based on entropy theory is applicable in power system static security assessment.


2012 ◽  
Vol 614-615 ◽  
pp. 900-906
Author(s):  
Jun Liu ◽  
Ling Ling Pan ◽  
Yi Jun Yu ◽  
Shu Hai Feng ◽  
Feng Li ◽  
...  

In this paper, a calculation method of static security analysis based on section topology relation is proposed. When topological structure of current data section is the same as that of the basecase section, it fully utilizes the factor tables of Jacobian matrix, and inverse matrix information of the basecase data section in rapid filtration of DC power flow. On the contrary, If topology changes compared with the basecase section, it adopts substation partial topological analysis technology as well as the method of partial factor table correction to increase the speed of calculation. Case studies with a practical power system indicate that the proposed method is correct and reasonable.


2014 ◽  
Vol 1070-1072 ◽  
pp. 1511-1515
Author(s):  
Chuan Cheng Zhang ◽  
Cui Hui Yan ◽  
Sai Dai ◽  
Dan Xu ◽  
Yi Zhu ◽  
...  

Monthly maintenance schedule has an important guiding significance to day ahead maintenance arrangement. However, the current management of monthly maintenance schedule is short of quantitative analysis methods. Consequently it can’t effectively take the security risk that may exist under monthly maintenance schedule. This paper presents a static security checking method for monthly maintenance schedule. First, established the monthly power grid network model based on the realtime model and device state changes, including the commissioning and decommissioning devices and maintenance devices. Next, the month-contract energy was decomposed to every day and every hour, then combined with monthly load forecast and maintenance schedule, the power system typical operation modes were generated automatically. Finally, quantitative assessment of monthly maintenance schedule was completed by power flow calculation, security analysis and evaluation indexes, including load supply adequacy and equivalent generation capacity loss. This method is instructive for monthly maintenance arrangement and its feasibility is proved by practical application.


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