Real time economic dispatch considering renewable energy resources uncertainty using effective optimization techniques

Resumen

Economic dispatch is one of the essential concepts in electrical power system management and operation systems. On the other side, with the increasing concern for pollutant emissions considerations, finding a solution for the emission has become an essential issue for the power generation system besides the total fuel cost all over the world. In this thesis, the problem is solved based on single/multi-objective functions using well-known and enhanced optimization algorithms. In addition, the higher dimensional, strongly coupled, nonconvex and nonlinear multi-objective model is designated considering the fuel costs and emissions objectives simultaneously.