DocumentCode
2312894
Title
Dynamic Economic Dispatch Solution using an Enhanced Real-Quantum Evolutionary Algorithm
Author
Babu, G. S Sailesh ; Das, D. Bhagwan ; Patvardhan, C.
Author_Institution
Dayalbagh Educ. Inst., Agra
fYear
2008
fDate
12-15 Oct. 2008
Firstpage
1
Lastpage
6
Abstract
Dynamic economic dispatch (DED) is more realistic dispatch model than economic dispatch as a power system meets demand over several intervals (typically 1 hour each). DED involves ramp rates, which dynamically change the generation capacity limits of a unit. These dynamically changing inequality constraints make DED problem extremely difficult to solve. In this paper, dynamic economic dispatch problem has been attempted with enhanced RQEA (HSSDED). The proposed method has been found to be highly consistent in reaching global optima and in generating solutions better other techniques reported in literature. The proposed techniques are quite general and possess capability to handle other equally complex power system problems and others.
Keywords
evolutionary computation; power generation dispatch; power generation economics; power system analysis computing; quantum computing; RQEA; complex power system problems; dynamic economic dispatch solution; enhanced real-quantum evolutionary algorithm; power generation capacity; Costs; Design optimization; Evolutionary computation; Power generation; Power generation dispatch; Power generation economics; Power system dynamics; Power system economics; Power system modeling; Quantum computing; Dynamic Economic Dispatch; Quantum Evolutionary Algorithms; Ramp Rate Constraints;
fLanguage
English
Publisher
ieee
Conference_Titel
Power System Technology and IEEE Power India Conference, 2008. POWERCON 2008. Joint International Conference on
Conference_Location
New Delhi
Print_ISBN
978-1-4244-1763-6
Electronic_ISBN
978-1-4244-1762-9
Type
conf
DOI
10.1109/ICPST.2008.4745185
Filename
4745185
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