Optimal location and control of FACTS devices for relieving congestion and ensuring voltage stability

This paper proposes an approach for determining optimal locations and capacities of multiple FACTS devices for congestion relief considering voltage stability in deregulated electricity market. The objectives of FACTS allocation are both to minimize annual device investment cost and maximize annual benefit defined as difference between expected security cost (ESQ with and without FACTS installation. The expected cost consists of operating cost under normal state and considered contingencies along with their related probabilities to occur. Maximizing social welfare is the objective for normal state while maximizing social welfare as well as minimizing compensations for generation re-scheduling and load shedding are objectives in case of contingency. The proposed approach is different from previous FACTS devices allocation methods in considering control coordination of multiple FACTS devices as cost free effort for minimizing operating cost and securing the system. Then, generations re-scheduling and load shedding will be subsequently executed as non-cost free effort. The IEEE 14 bus test systems are used to demonstrate the proposed approach.

[1]  T. Gedra,et al.  Optimal power flow with expected security costs , 2006, IEEE Transactions on Power Systems.

[2]  A. Abur,et al.  Static Security Enhancement via Optimal Utilization of Thyristor Controlled Series Capacitors , 2003, IEEE Power Engineering Review.

[3]  Mohsen Kalantar,et al.  A novel approach for optimum allocation of FACTS devices using multi-objective function , 2009 .

[4]  Seema Singh,et al.  Optimal location of FACTS devices for congestion management , 2001 .

[5]  Seyed Abbas Taher,et al.  Congestion management by determining optimal location of TCSC in deregulated power systems , 2008 .

[6]  H. Sasaki,et al.  A New Formulation for FACTS Allocation for Security Enhancement against Voltage Collapse , 2002, IEEE Power Engineering Review.

[7]  Naresh Acharya,et al.  Locating series FACTS devices for congestion management in deregulated electricity markets , 2007 .

[8]  M. Saravanan,et al.  Application of particle swarm optimization technique for optimal location of FACTS devices considering cost of installation and system loadability , 2007 .

[9]  Naoto Yorino,et al.  Multi-load level reactive power planning considering slow and fast VAR devices by means of particle swarm optimisation , 2008 .

[10]  A.J. Conejo,et al.  Congestion management ensuring voltage stability , 2008, IEEE Transactions on Power Systems.

[11]  S. Gerbex,et al.  Optimal Location of Multi-Type FACTS Devices in a Power System by Means of Genetic Algorithms , 2001, IEEE Power Engineering Review.

[12]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.

[13]  M. A. Abido,et al.  Optimal location and setting of SVC and TCSC devices using non-dominated sorting particle swarm optimization , 2009 .