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

fYear

2007

fDate

24-28 June 2007

Firstpage

1

Lastpage

7

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Engineering Society General Meeting, 2007. IEEE

Conference_Location

Tampa, FL

ISSN

1932-5517

Print_ISBN

1-4244-1296-X

Electronic_ISBN

1932-5517

Type

conf

DOI

10.1109/PES.2007.385784

Filename

4275550