In the literature many methods for overload relieving have been reported for determining a secure operating point. Most of these methods use conventional optimization techniques, which are generally time - consuming from a computation point of view, especially for large systems. Further the conventional optimization technique updates all the controllers for most of the operating conditions. Under emergency conditions the operator, has to make quick decisions, with little concern for the theoretical optimality of the operating point and also the operator can not move all the controllers to different settings within less time. In this context a simplified approach has been proposed in this paper for security oriented power system operation. The contribution of each generator for a particular overloaded line is first identified, then based on Relative Electrical Distance (RED) concept the desired proportions of generation for the desired overload relieving is obtained. Then based on the Generation Shift Sensitivity Factor (GSSF) concept the desired proportions of generation for the desired overload relieving is obtained. An attempt is also made to curtail the number of generators to be rescheduled based on GSSF for overload relieving Results obtained for network overload alleviation of IEEE 39-bus New England system are presented for illustration purposes.
[1]
P. Kessel,et al.
Estimating the Voltage Stability of a Power System
,
1986,
IEEE Power Engineering Review.
[2]
Seema Singh,et al.
Congestion management in competitive power market : A bibliographical survey
,
2005
.
[3]
D. Thukaram,et al.
A fuzzy control for network overload alleviation
,
2001
.
[4]
A.J. Conejo,et al.
Congestion management ensuring voltage stability
,
2008,
IEEE Transactions on Power Systems.
[5]
N. Chowdhury,et al.
Expansion of transmission systems in a deregulated environment
,
2004,
Canadian Conference on Electrical and Computer Engineering 2004 (IEEE Cat. No.04CH37513).
[6]
Goran Strbac,et al.
Contributions of individual generators to loads and flows
,
1997
.
[7]
D. Thukaram,et al.
Congestion management in open access based on relative electrical distances using voltage stability criteria
,
2007
.
[8]
Francisco Echavarren Cerezo,et al.
Preventive analysis and solution of overloads in the Spanish electricity market
,
2004
.