Real time dynamic simulator for power system control applications

2006 ◽  
Author(s):  
R. Majumder ◽  
B. Chaudhuri ◽  
B.C. Pal ◽  
C. Dufour
Keyword(s):  
Power System ◽  
Real Time ◽  
System Control ◽  
Control Applications ◽  
Time Dynamic ◽  
Power System Control ◽  
Dynamic Simulator

scholarly journals Virtualising redundancy of power equipment controllers using software-defined networking

2019 ◽  
Vol 2 (S1) ◽  
Author(s):  
Ferdinand von Tüllenburg ◽  
Peter Dorfinger ◽  
Armin Veichtlbauer ◽  
Ulrich Pache ◽  
Oliver Langthaler ◽  
...  
Keyword(s):  
Power Systems ◽  
Power System ◽  
Software Defined Networking ◽  
System Control ◽  
Field Equipment ◽  
Control Applications ◽  
Power System Control ◽  
Redundancy Management ◽  
Control Application ◽  
Redundancy Design

Abstract Power system automation is heavily dependent on the reliable interconnection of power system field equipment and centralised control applications. Particularly important to achieve reliability in automated power systems is the redundant connection of field equipment controllers. Today, the fundamental redundancy management and switch-over processes are handled by the power system control applications itself. This, however, increases the complexity of the control systems and leads to an intersection of concerns. Consequently, the design and the implementation of field equipment controller redundancy is time-consuming and cost-intensive. In this paper, we propose the implementation of a redundancy virtualisation layer for power system controllers based on software-defined networking (SDN). The goal is to relieve the control applications from managing field level redundancy. Thus, our SDN approach allows to detect gateway failures and to perform transparent switch-overs. This significantly simplifies the configuration of the control application with redundant components and finally leads to more flexible and simplified redundancy design, deployment and operation. Arbitrary redundancy topologies, such as triple-controller-redundancy can be implemented without modifying the control applications.

Single-Machine Infinite-Bus Power System Excitation Control Design With Resilient Extended Kalman Filter

2016 ◽  
Vol 3 (1) ◽  
Author(s):  
Xin Wang ◽  
Patrick Gu
Keyword(s):  
Kalman Filter ◽  
Power System ◽  
Extended Kalman Filter ◽  
Single Machine ◽  
System Control ◽  
Excitation Control ◽  
Control Applications ◽  
Power System Control ◽  
Sensor Failures ◽  
Single Machine Infinite Bus

To effectively control and maintain the transient stability of power systems, traditionally, the extended Kalman filter (EKF) is used as the real-time state estimator (RTSE) to provide the unmeasurable state information. However, the EKF estimation may degrade or even become unstable when the measurement data are inaccurate through random sensor failures, which is a widespread problem in data-intensive power system control applications. To address this issue, this paper proposes an improved EKF that is resilient against sensor failures. This work focuses on the resilient EKF’s (REKF’s) derivation with its application to single-machine infinite-bus (SMIB) power system excitation control. The sensor failure rate is modeled as a binomial distribution with a known mean value. The performance of REKF is compared with the traditional EKF for power system observer-based control under various chances of sensor failures. Computer simulation studies have shown the efficacy and superior performance of the proposed approach in power system control applications.

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