Multi-type FACTS Location and Coordination using PI-PSO for Transfer Capability Improvement

Deregulation ensures competition amongst utilities through open access regulation to accommodate a significant increase in the volume of power transactions. However, this action may cause line overloads and congestion. To relief congestion, improved utilization and performance of transmission infrastructure, different types of FACTS devices are planned with diverse objectives. Often the huge investment cost of FACTS leads to the implementation of a single type of FACTS’ planning by utilities at a given time horizon. To optimize performance, subsequent planning must take into account and coordinate with the existing FACTS regarding location and parameter settings. This article proposed a real power flow Performance Index (PI) and Particle Swarm Optimization (PSO) to locate and coordinate Static synchronous series compensator (SSSC) with an existing Thyristor control series compensator (TCSC) in a standard 9-buses test network. Results of three coordination schemes show that the scheme with more decision parameters provides superior loadability and transfer capability improvement.

[1]  Canbing LI,et al.  Optimal allocation of multi-type FACTS devices in power systems based on power flow entropy , 2014 .

[2]  R. Prathiba,et al.  Multiple Output Radial Basis Function Neural Network with Reduced Input Features for On-line Estimation of Available Transfer Capability , 2016 .

[3]  Xiaobo Dou,et al.  An improved CPF for static stability analysis of distribution systems with high DG penetration , 2017 .

[4]  Mohd Wazir Mustafa,et al.  Optimal Allocation of FACTS Devices for ATC Enhancement Using Bees Algorithm , 2009 .

[5]  Shazly A. Mohamed,et al.  Voltage Sourced Converter (VSC) based on multiple FACTS controllers for the improvement of power quality , 2018 .

[6]  N. D. Ghawghawe,et al.  Optimal placement and parameter setting of TCSC in power transmission system to increase the power transfer capability , 2015, 2015 International Conference on Energy Systems and Applications.

[7]  N. Kamaraj,et al.  Optimal Location of Multi Type Facts Devices for Multiple Contingencies Using Particle Swarm Optimization , 2008 .

[8]  N. Janarthanan,et al.  A novel technique for congestion management in transmission system by real power flow control , 2017, 2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT).

[9]  Peerapol Jirapong,et al.  Optimal allocation of multi-type FACTS controllers for total transfer capability enhancement using hybrid particle swarm optimization , 2014, 2014 11th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON).

[10]  Feng Liu,et al.  Static security region calculation with improved CPF considering generation regulation , 2012, 2012 IEEE International Conference on Power System Technology (POWERCON).

[11]  Peerapol Jirapong,et al.  Power transfer capability enhancement with optimal maximum number of facts controllers using evolutionary programming , 2011, IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society.

[12]  T. Nireekshana,et al.  Available transfer capability enhancement with FACTS using Cat Swarm Optimization , 2016 .

[13]  R. Srinivasa Rao,et al.  Comparison of various methods for optimal placement of FACTS devices , 2014, 2014 International Conference on Smart Electric Grid (ISEG).

[14]  P. Jirapong,et al.  Total transfer capability enhancement with optimal number of UPFC using hybrid TSSA , 2012, 2012 9th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology.

[15]  Salah Kamel,et al.  Constraints violation handling of SSSC with multi‐control modes in Newton–Raphson load flow algorithm , 2017 .

[16]  M. Balasubbareddya,et al.  A non-dominated Sorting Hybrid Cuckoo Search Algorithm for multi-objective optimization in the presence of FACTS devices , 2017 .

[17]  A. Elmitwally,et al.  Planning of multi-type FACTS devices in restructured power systems with wind generation , 2016 .

[18]  Mohamed Shaaban,et al.  Risk-based available transfer capability assessment including nondispatchable wind generation , 2015 .

[19]  C. K. Babulal,et al.  A Novel Approach for ATC Computation in Deregulated Environment JES , 2006 .

[20]  P. Venkatesh,et al.  Optimal Setting of FACTS Devices using Particle Swarm Optimization for ATC Enhancement in Deregulated Power System , 2016 .