Static security assessment of a power system using query-based learning approaches with genetic enhancement

2001 ◽  
Vol 148 (4) ◽  
pp. 319 ◽  
Author(s):  
S.-J. Huang
Keyword(s):  
Power System ◽  
Genetic Enhancement ◽  
Security Assessment ◽  
Learning Approaches ◽  
Static Security

Performance Evaluation of Deregulated Power System Static Security Assessment using RBF-NN Technique

2013 ◽  
Vol 64 (1) ◽  
Author(s):  
I. S. Saeh ◽  
M. W. Mustafa
Keyword(s):  
Performance Evaluation ◽  
Power System ◽  
Test System ◽  
Operating Conditions ◽  
Attribute Selection ◽  
Security Evaluation ◽  
Base Case ◽  
Security Assessment ◽  
Deregulated Power System ◽  
Static Security

This paper proposes RBF-NN for classification and performance evaluation of static security assessment in deregulated power system. This study suggests an attribute selection and classification algorithms for static security evaluation (SSE) and its impact is proposed. For the base case, pure pool dispatch (with no bilateral transactions) and bilateral transaction comparisons are discussed on IEEE57- bus system. In this paper, a comprehensive comparison of AI classifiers to examine whether the power system is secured under steady-state operating conditions is presented. The proposed classifier is implemented on a 30 and 57 IEEE test system. To assess the actual overall performance regarding studying techniques, this research proposes performance evaluation schemes vis CCR, TPR and TNR and implemented on various IEEE test systems. The simulation results have shown the powerfulness of the proposed method as compare to another proposed AI classifiers. 

Investigation of Combined SVC and TCSC versus IPFC in Enhancing Power System Static Security

2018 ◽  
Vol 40 ◽  
pp. 119-135 ◽  
Author(s):  
Elutunji Buraimoh ◽  
Funso Kehinde Ariyo ◽  
Micheal Omoigui ◽  
Innocent Ewaen Davidson
Keyword(s):  
Power Systems ◽  
Power System ◽  
Transmission Line ◽  
Power Flow ◽  
Electrical Power ◽  
Severity Index ◽  
Test System ◽  
Security Assessment ◽  
Facts Devices ◽  
Static Security

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.

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