Title :
Power system reactive scheduling within electricity markets
Author :
Dong, Zhao-yang ; Hill, David J.
Author_Institution :
Dept. of Electr. Eng., Nat. Univ. of Singapore, Singapore
fDate :
30 Oct.-1 Nov. 2000
Abstract :
This paper addresses the problem of achieving power system security, with emphasis on reactive power planning, within a competitive electricity market. A pool electricity market model is used and a separate market for security services. Risk minimisation is achieved optimally using genetic algorithms.
Keywords :
electricity supply industry; genetic algorithms; load flow; power system planning; power system security; reactive power; risk management; Power system reactive scheduling; ancillary services; competitive electricity market; genetic algorithms; market models analysis; optimal power flow; pool electricity market model; power system security; probabilistic decision making; reactive power planning; risk minimisation; security services;
Conference_Titel :
Advances in Power System Control, Operation and Management, 2000. APSCOM-00. 2000 International Conference on
Print_ISBN :
0-85296-791-8
DOI :
10.1049/cp:20000366
