Title :
Reverse Weighted Multi Objective Optimization
Author_Institution :
Dept. of Power Syst., Obuda Univ., Budapest, Hungary
Abstract :
CO2 emission is a corner point of electricity generation. Many optimization techniques are known but the decision makers don´t find the right global power mix for the World. The paper investigates the causes of the contradictions related to the traditional optimization techniques: the different priorities, spatial spreading and optimization levels. A new Reverse Weighted Multi Objective Optimization (RWMOO) solution offers to find a relative good solution in the space that cannot be optimized.
Keywords :
air pollution control; electricity supply industry; optimisation; RWMOO solution; electricity generation; global power mix; optimization levels; optimization techniques; reverse weighted multiobjective optimization; spatial spreading; Conferences; Cost function; Electricity; Investment; Power generation; Power systems; CO2 emission; contradictions of optimums; cost minimization; multi objective optimization; power mix;
Conference_Titel :
Intelligent Engineering Systems (INES), 2013 IEEE 17th International Conference on
Conference_Location :
San Jose
Print_ISBN :
978-1-4799-0828-8
DOI :
10.1109/INES.2013.6632830
