Combined Economic Emission Dispatch using Novel Bat Algorithm

EasyChair Preprint no. 355

Abstract

Electricity generation is mainly from thermal power plants, which also contribute to environmental pollutants, like SO2 (Sulphur dioxide), CO2 (Carbon dioxide), and NOx (Oxides of Nitrogen). This has made the study of Economic Emission Dispatch (EED) an important research area. This paper introduces Novel Bat Algorithm (NBA) to be applied for solving EED problem using max/max penalty factor. As a test system, a 6 generator bus having cubic cost function is considered. Simulations are performed for individual pollutant analysis, and for combined pollutant analysis, considering different load demands. The results show that NBA performs better when compared with other algorithms available in literature. Convergence graphs are also presented.

Keyphrases: Bat Algorithm, Combined Economic Emission Dispatch, combined pollutant analysis, cost function, Cubic cost functions, economic emission dispatch problem, mathematical formulation, Novel Bat Algorithm, Pollutant Analysis, Price Penalty Factor

@Booklet{EasyChair:355,
  author = {S Gautham},
  title = {Combined Economic Emission Dispatch using Novel Bat Algorithm},
  howpublished = {EasyChair Preprint no. 355},

  year = {EasyChair, 2018}}