Title :
Total transfer capability calculations for competitive power networks using genetic algorithms
Author :
Shaaban, Mohamed ; Ni, Yixin ; Wu, Felix
Author_Institution :
Dept. of Electr. & Electron. Eng., Hong Kong Univ., China
Abstract :
The application of the genetic algorithms to solve the total transfer capability (TTC) problem is proposed in this paper. TTC is a nonlinear function of the system operating conditions and security constraints. The objective of the proposed genetic algorithm is to maximize a specific point-to-point power transaction without system constraint violation and to determine the TTC between the two points through global optimal search. The suggested genetic algorithm is simple to implement and can easily incorporate various constraints. The floating-point based genetic algorithm was tested on a 4 bus test system with good convergence. The test results are compared favorably with that obtained from the continuation power flow
Keywords :
electricity supply industry; genetic algorithms; load flow; power system security; power transmission; 4 bus test system; competitive power networks; continuation power flow; convergence; floating-point based genetic algorithm; genetic algorithms; global optimal search; nonlinear function; point-to-point power transaction; security constraints; system operating conditions; total transfer capability; Consumer electronics; Genetic algorithms; Genetic engineering; Load flow; Power system planning; Power system reliability; Power system security; Search methods; System testing; Transmission line measurements;
Conference_Titel :
Electric Utility Deregulation and Restructuring and Power Technologies, 2000. Proceedings. DRPT 2000. International Conference on
Conference_Location :
London
Print_ISBN :
0-7803-5902-X
DOI :
10.1109/DRPT.2000.855648
