Stochastic power flow analysis of electrical distributed generation systems

Author

El-Khattam, W. ; Hegazy, Y.G. ; Salama, Magdy M. A.

Author_Institution

Dept. of Electr. & Comput. Eng., Waterloo Univ., Ont., Canada

Volume

2

fYear

2003

fDate

13-17 July 2003

Abstract

A Monte Carlo based power flow algorithm that integrates the deterministic and the stochastic natures of the new structured, electrical distributed generation systems is proposed. The uncertainties in both the locations and the states (on or off) of the distributed generation (DG) units constitute the random parameters of the studied systems. A novel algorithm to incorporate these parameters into the Newton-Raphson solution of the power flow equations is carefully designed and implemented in this paper. Monte Carlo simulation is employed to perform the analysis of all the possible operation scenarios of the system under study and thus ensure the validity of the results. The proposed algorithm is employed to obtain the power flow solution for a typical distributed generation system involving several DG units and the results obtained are presented and discussed.

Keywords

Monte Carlo methods; Newton-Raphson method; distributed power generation; load flow; power system simulation; stochastic processes; Monte Carlo simulation; Newton-Raphson solution; electrical distributed generation system; power flow algorithm; power flow equation; random parameter; stochastic power flow analysis; Distributed control; Load flow; Load flow analysis; Monte Carlo methods; Performance analysis; Power generation; Power generation economics; Power system modeling; Stochastic systems; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Engineering Society General Meeting, 2003, IEEE

Print_ISBN

0-7803-7989-6

Type

conf

DOI

10.1109/PES.2003.1270485

Filename

1270485