Title :
Impact of wind correlation and load correlation on probabilistic load flow of radial distribution systems
Author :
Narayan, K. Sooraj ; Kumar, Ashwani
Author_Institution :
Dept. of Electr. Eng., NIT Kurukshetra, Kurukshetra, India
Abstract :
This paper presents a probabilistic analysis of radial distribution systems considering correlated nodal load demands and correlated wind power sources. The loads and wind power sources are modeled as probability distribution functions. Cholesky factorization method is used to generate correlated nodal power samples and correlated wind power injection samples. Monte Carlo Simulation (MCS) is used for the Probabilistic Load Flow (PLF) procedure. A comparison is carried out for various scenarios of correlations. The power loss variation and voltage profile variation for the various scenarios are observed for the various scenarios. The results are analyzed for an IEEE 33 bus radial distribution system.
Keywords :
Monte Carlo methods; load flow; power distribution; probability; wind power plants; Cholesky factorization method; IEEE-33 bus radial distribution system; MCS; Monte Carlo simulation; PLF procedure; correlated nodal load demands; correlated nodal power samples; correlated wind power injection samples; correlated wind power sources; power loss variation; probabilistic analysis; probabilistic load flow procedure; probability distribution functions; radial distribution systems; voltage profile variation; Correlation; Load flow; Load modeling; Probabilistic logic; Wind power generation; Wind speed; Wind turbines; Cholesky Factorization; Correlated Nodal Load; Correlated Wind Power; Probabilistic Analysis; Radial Distribution Network;
Conference_Titel :
Signal Processing, Informatics, Communication and Energy Systems (SPICES), 2015 IEEE International Conference on
Conference_Location :
Kozhikode
DOI :
10.1109/SPICES.2015.7091506
