DocumentCode :
3244394
Title :
Biogeography-Based Optimization and its application to nonconvex Economic Emission Load Dispatch problems
Author :
Bhattacharya, Avik ; Chattopadhyay, Pranab Kumar
Author_Institution :
Jadavpur University, India
fYear :
2009
fDate :
8-11 Nov. 2009
Firstpage :
1
Lastpage :
6
Abstract :
This Paper presents Biogeography-Based Optimization (BBO) algorithm to solve complex Economic Emission Load Dispatch (EELD) problems of thermal generators of power systems. Different emission substances like NOx, SOx are considered for case studies. Biogeography deals with the geographical distribution of biological organisms. Mathematical models of Biogeography describe how species migrate from one habitat to another, how species arise, and how species become extinct. Here, it is discussed how BBO can be used to solve EELD problems. This algorithm searches the global optimum mainly through two steps: Migration and Mutation. To show the performance of the proposed algorithm, the algorithm has been applied for solving multi-objective EELD problems in a 3 Generator system with NOX and SOX mission and in a 6 Generator system addressing both valve-point loading and NOX emission
fLanguage :
English
Publisher :
iet
Conference_Titel :
Advances in Power System Control, Operation and Management (APSCOM 2009), 8th International Conference on
Conference_Location :
Hong Kong, China
Type :
conf
DOI :
10.1049/cp.2009.1826
Filename :
5526683
Link To Document :
بازگشت