Congestion Management is to enhance the transient stability in a deregulated power system using FACTS devices

Congestion management is the technical challenge in a Deregulated power system environment. Two types of Methodologies used in congestion Management are non-cost free methods and cost free methods. In this research work congestion is relieved by using cost-free methods considering FACTS Devices. The performance and analysis of UPFC (Unified Power Flow Controller, TCSC (Thyristor-controlled series compensator) and SSSC (Static Synchronous series compensator) are used to enhance the transient stability and the results are compared in the IEEE 14 bus test system. This work is done by using PSAT (Power System analysis toolbox) MATLAB software. Three phase fault is created at bus 5and the best location of FACTS Devices are found through the sensitivity based Eigen value analysis. The results show that the proposed approach has a capability to improve transient Stability in the deregulated power system.

[1]  Lini Mathew,et al.  Transient Stability Analysis of Electrical Power Systems by means of LabVIEW based Simulation of STATCOM , 2011 .

[2]  H. Ghasemi,et al.  Optimal Transmission Switching Considering Voltage Security and N-1 Contingency Analysis , 2013, IEEE Transactions on Power Systems.

[3]  Anju Gupta,et al.  STABILITY ENHANCEMENT BASED ON EIGENVALUE ANALYSIS , 2014 .

[4]  S. Dutta,et al.  Optimal Rescheduling of Generators for Congestion Management Based on Particle Swarm Optimization , 2008, IEEE Transactions on Power Systems.

[5]  Hamidreza Zareipour,et al.  Congestion management using demand response and FACTS devices , 2012 .

[6]  Rajiv K. Varma,et al.  Thyristor-Based Facts Controllers for Electrical Transmission Systems , 2002 .

[7]  Nima Amjady,et al.  Dynamic voltage stability constrained congestion management framework for deregulated electricity markets , 2012 .

[8]  Pyone Lai Swe,et al.  Coordinated Design of PSS and STATCOM for Power System Stability Improvement Using Bacteria Foraging Algorithm , 2013 .

[9]  Yog Raj Sood,et al.  Efficient and optimal approach for location and parameter setting of multiple unified power flow controllers for a deregulated power sector , 2012 .

[10]  Santosh C. Vora,et al.  Optimal placement of power system stabilizers: Simulation studies on a test system , 2011, 2011 Nirma University International Conference on Engineering.

[11]  Federico Milano,et al.  An Open Source Power System Virtual Laboratory: The PSAT Case and Experience , 2008, IEEE Transactions on Education.

[12]  K. Samrajyam,et al.  Optimal location of STATCOM for reducing voltage fluctuations , 2012 .

[13]  N. P. Padhy,et al.  Influence of Price Responsive Demand Shifting Bidding on Congestion and LMP in Pool-Based Day-Ahead Electricity Markets , 2011, IEEE Transactions on Power Systems.

[14]  P. Sekhar,et al.  Power Quality Enhancement Using Custom Power Devices , 2012 .

[15]  G. T. Heydt,et al.  Sensitivity-Based Pricing and Optimal Storage Utilization in Distribution Systems , 2013, IEEE Transactions on Power Delivery.

[16]  Shahram Jadid,et al.  Congestion management in hybrid power markets using modified Benders decomposition , 2013 .

[17]  Neeraj Gupta,et al.  Comparative Analysis of Fuzzy Power System Stabilizer Using Different Membership Functions , 2010 .

[18]  Amit Kumar,et al.  Comparison of Sen Transformer and UPFC for congestion management in hybrid electricity markets , 2013 .

[19]  Yun Won Chung.  Performance Analysis of Energy-Efficient Home Femto Base Stations , 2011 .

[20]  P. Kundur,et al.  Power system stability and control , 1994 .

[21]  A. K. Singh,et al.  Congestion management with distributed generation and its impact on electricity market , 2013 .

[22]  Mohammad A. S. Masoum,et al.  Coordinated aggregated-based particle swarm optimisation algorithm for congestion management in restructured power market by placement and sizing of unified power flow controller , 2012 .