DocumentCode :
412585
Title :
Optimal dispatch of spinning reserve in a competitive electricity market using genetic algorithm
Author :
Xu, Z. ; Dong, Z.Y. ; Wong, K.P.
Author_Institution :
Sch. of Inf. Technol. & Electr. Eng., Queensland Univ., Brisbane, Qld., Australia
Volume :
1
fYear :
2003
fDate :
8-12 Dec. 2003
Firstpage :
587
Abstract :
Ancillary service plays a key role in maintaining operation security of the power system in a competitive electricity market. The spinning reserve is one of the most important ancillary services that should be provided effectively. This paper presents the design of an integrated market for energy and spinning reserve service with particular emphasis on coordinated dispatch of bulk power and spinning reserve services. A new market dispatching mechanism has been developed to minimize the cost of service while maintaining system security. Genetic algorithms (GA) are used for finding the global optimal solutions for this dispatch problem. Case studies and corresponding analyses have been carried out to demonstrate and discuss the efficiency and usefulness of the proposed method.
Keywords :
genetic algorithms; power distribution economics; power markets; power supply quality; ancillary service; bulk power; competitive electricity market; coordinated dispatch; dispatch problem; energy reserve service; genetic algorithm; global optimal solutions; integrated market; market dispatching mechanism; operation security; optimal dispatch; power system; service cost minimization; spinning reserve service; system security; Australia; Contracts; Dispatching; Electricity supply industry; Genetic algorithms; Power system management; Power system measurements; Power system security; Spinning; Strontium;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2003. CEC '03. The 2003 Congress on
Print_ISBN :
0-7803-7804-0
Type :
conf
DOI :
10.1109/CEC.2003.1299629
Filename :
1299629
Link To Document :
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