In this paper, an approach for optimal allocation of flexible AC transmission system (FACTS) devices under deregulated power systems is presented. The approach considers system operation under normal and contingency states along with their related probabilities to occur. For each state, FACTS devices are optimally utilized to minimize operating cost. If a contingency occurs, preventive/corrective control strategy is applied to prevent voltage collapse as well as to relieve transmission congestion. During corrective control, fast control action is utilized while during preventive control, both fast and slow control actions are employed. The objective of normal state is to maximize social welfare while the objectives of contingency states are to maximize social welfare and to minimize compensations paid for generations re-scheduling and load shedding. The overall problem is formulated as a mixed integer nonlinear programming problem and is solved using hybrid Particle Swarm Optimization. The effectiveness of the proposed approach is demonstrated on modified IEEE 14 bus test system.

Original languageEnglish
Title of host publicationTENCON 2011 - 2011 IEEE Region 10 Conference
Subtitle of host publicationTrends and Development in Converging Technology Towards 2020
Number of pages5
Publication statusPublished - 2011
Event2011 IEEE Region 10 Conference: Trends and Development in Converging Technology Towards 2020, TENCON 2011 - Bali, Indonesia
Duration: 21 Nov 201124 Nov 2011

Publication series

NameIEEE Region 10 Annual International Conference, Proceedings/TENCON


Conference2011 IEEE Region 10 Conference: Trends and Development in Converging Technology Towards 2020, TENCON 2011


  • FACTS devices allocation
  • congestion relief
  • control coordination
  • expected security cost
  • preventive/corrective control
  • voltage stability


Dive into the research topics of 'FACTS devices allocation for preventive/corrective control against voltage collapse under deregulated power system'. Together they form a unique fingerprint.

Cite this