Study on a real time model predictive based power system SIPS

A Model Predictive based system integrity protection scheme (SIPS) using a Thyristor Controlled Series Compensator (TCSC) to improve power system transient stability will be described in the paper. Supervised learning (SL) is utilized to predict the power system dynamics by assuming each control action has been taken. Furthermore, Monte-Carlo approaches are used to analyze the generators' separation pattern and determine the location to apply the TCSC control. The SIPS is operated in real time and based on PMU measurements. The detection and control processes for unstable conditions are performed every discrete time interval, so the control solution including the amount and locations of TCSC control is refreshed successively. The proposed SIPS has been tested and verified in IEEE 39-bus system. Simulation results show it can effectively stabilize the system after a large disturbance even when the system conditions are complex. Moreover, the testing experience in the multimachine system has enhanced the operational confidence in the use of this type of SIPS.

[1]  Arturo Roman Messina,et al.  Analysis and control of the inter-area mode phenomenon using selective One-Machine Infinite Bus dynamic equivalents , 2006 .

[2]  D. Ernst,et al.  A Model Predictive based emergency control scheme using TCSC to improve power system transient stability , 2012, 2012 IEEE Power and Energy Society General Meeting.

[3]  Zhang Bao.  Real time transient stability prediction for multi machine power system based on phasor measurement units , 2000 .

[4]  Jaewon Chang,et al.  Time-optimal control of power systems requiring multiple switchings of series capacitors , 1998 .

[5]  Anjan Bose,et al.  Contingency ranking based on severity indices in dynamic security analysis , 1999 .

[6]  Damien Ernst,et al.  Transient Stability of Power Systems , 2000 .

[7]  Manfred Morari,et al.  Model predictive control: Theory and practice - A survey , 1989, Autom..

[8]  Chen Chen.  Transient Stability Prediction Using Time-Series Based on GPS Synchronized Measurement , 2001 .

[9]  D. N. Kosterev,et al.  Bang-bang series capacitor transient stability control , 1995 .

[10]  James S. Thorp,et al.  Decision trees for real-time transient stability prediction , 1994 .

[11]  M.H. Haque,et al.  Improvement of first swing stability limit by utilizing full benefit of shunt FACTS devices , 2004, IEEE Transactions on Power Systems.

[12]  Toshikazu Kato,et al.  A study of switching techniques using serial and parallel resistors for power system stabilization , 2003 .

[13]  Liu Yu.  PMU based transient stability predication in power system , 2000 .