ECONOMIC-EMISSION DISPATCH WITH SEMIDEFINITE PROGRAMMING AND RATIONAL FUNCTION APPROXIMATIONS

Facta Universitatis. Series Mathematics and Informatics

Abimbola M. Jubril¹  Philip O. Ogunbona² 

[1] Obafemi Awolowo University;School of Computer Science and Software EngineeringUniversity of Wollongong, Australia

关键词: multiobjective optimization;    polynomial optimization;    rational function approximations;    economic dispatch;    emission dispatch;    semidefinite programming;    weighted sum method;   

DOI  :  10.22190/FUMI1705565J

学科分类：社会科学、人文和艺术（综合）

来源: Univerzitet u Nishu / University of Nis

【 摘 要 】

The emission function associated with the economic-emission dispatch problem contains exponential functions that model the emission pollutants. This paper presents a strategy of solving the economic-emission dispatch problem whereby the exponential function is approximated by a rational function that permits reduction to a standard polynomial optimization problem. This is reformulated as a hierarchy of semidefinite relaxation problems using the moment theory and the resulting SDP problem is solved. Different degrees of rational functional approximation were considered. The approach was tested on the IEEE 30-bus test systems to investigate its effectiveness. Solutions obtained were compared with those from some of the well known evolutionary methods. Results showed that SDP has inherently good convergence property and a lower but comparable diversity property.

【 授权许可】

Unknown