Title :
Multiobjective energy management system using modified MOPSO
Author :
Kitamura, Syoichi ; Mori, Kazuyuki ; Shindo, Seiichi ; Izui, Yoshio ; Ozaki, Yoshihiko
Author_Institution :
Adv. Technol. R&D Center, Mitsubishi Electr. Corp., Hyogo, Japan
Abstract :
Recently, it becomes necessary for Energy Management System (EMS) to plan optimal operation with minimizing energy costs, energy consumptions and CO2 emissions. Because these objectives are impossible to minimize at a time, EMS needs multiobjective optimization method. As the existing methods of multiobjective optimization, there are weighting method and constraint method. However it is difficult for these two methods to set up optimal parameters. On the other hand, by applying MOPSO with too many design variables, it is difficult to obtain optimal solutions. In this paper, in order to resolve those difficulties, we propose a multiobjective optimization method named as "modified MOPSO", and show the validity of proposed method applied to EMS for a factory.
Keywords :
energy management systems; particle swarm optimisation; power system control; power system planning; CO2 emission; constraint method; energy consumptions; energy cost minimization; energy management system; metaheuristics; modified MOPSO; multiobjective optimization; multiobjective particle swarm optimization; weighting method; Constraint optimization; Cost function; Energy consumption; Energy management; Global warming; Medical services; Optimization methods; Particle swarm optimization; Production facilities; Research and development; Energy Management System; Meta-heuristics; Multi-Objective Optimization; Particle Swarm Optimization;
Conference_Titel :
Systems, Man and Cybernetics, 2005 IEEE International Conference on
Print_ISBN :
0-7803-9298-1
DOI :
10.1109/ICSMC.2005.1571689