Title :
Management of Distributed Generation Units under Stochastic Load Demands using Particle Swarm Optimization
Author :
Pappala, Venkata Swaroop ; Erlich, Istvan
Author_Institution :
Inst. of Electr. power Syst., Univ. Duisburg-Essen, Essen
Abstract :
This paper presents a particle swarm optimization (PSO) approach to optimize the daily electricity and heat generation in proton exchange membrane (PEM) fuel cells for residential applications under electrical demand uncertainties. The stochastic load processes are modelled as scenario trees using adaptive PSO. The resulting multistage nonlinear stochastic cost model aims to minimize the average operating costs over this scenario tree. Adaptive PSO is used to solve this model and the results are compared with the deterministic model.
Keywords :
distributed power generation; fuel cell power plants; particle swarm optimisation; power generation economics; power system management; proton exchange membrane fuel cells; stochastic processes; PSO; distributed generation unit management; distributed generation units; operating cost minimisation; particle swarm optimization; proton exchange membrane fuel cells; stochastic load demands; stochastic load processes; trees; Biomembranes; Costs; Distributed control; Fuel cells; Load modeling; Particle swarm optimization; Power generation; Protons; Stochastic processes; Uncertainty; Distributed generation; particle swarm; stochastic optimization; uncertainty modeling;
Conference_Titel :
Power Engineering Society General Meeting, 2007. IEEE
Conference_Location :
Tampa, FL
Print_ISBN :
1-4244-1296-X
Electronic_ISBN :
1932-5517
DOI :
10.1109/PES.2007.385784
