DocumentCode
2368685
Title
The impact of dispersed PV generation on ramp rate requirements
Author
Arabali, Amir Saman ; Dehghanian, Payman ; Moeini-Aghtaie, Moein ; Abbaspour, Ali
Author_Institution
Dept. of Electr. Eng., Sharif Univ. of Technol., Tehran, Iran
fYear
2012
fDate
18-25 May 2012
Firstpage
977
Lastpage
982
Abstract
PV generation variability and uncertainty significantly influence operation of the power systems with high penetration of PV sources. The potential impact of distributed PV generation on ramp rate requirements in the IEEE 24-bus system is evaluated in this paper. PV generation and load are, here, probabilistically modeled using actual data and curve fitting approach. Probabilistic unit commitment (UC) based on unit de-commitment method combined with two point estimate method (2-PEM) is used to determine the ramp rate required to compensate for the PV power fluctuations. The proposed method considers stochastic factors and their effects on the dispatch results. Two scenarios are studied to evaluate the dispersed PV generation and its potential to reduce the ramp rate requirement of conventional generators. Ramping requirements of the system are calculated for 6 hours ahead scheduling period and different PV penetration levels, which lend the authors a hand in a conclusion concerning the applicability and efficiency of the proposed method.
Keywords
curve fitting; distributed power generation; estimation theory; photovoltaic power systems; power generation dispatch; power generation scheduling; probability; stochastic processes; ahead scheduling period; curve fitting; dispersed photovoltaic generation; distributed photovoltaic generation; photovoltaic generation uncertainty; photovoltaic generation variability; probabilistic model; probabilistic unit commitment; ramp rate requirements; stochastic factors; two point estimate method; unit decommitment method; Fluctuations; Generators; Load modeling; Power generation; Power systems; Probabilistic logic; Standards; Distributed PV generation; ramp rate requirements; stochastic modeling; two point estimate method (2-PEM); unit commitment; unit de-commitment;
fLanguage
English
Publisher
ieee
Conference_Titel
Environment and Electrical Engineering (EEEIC), 2012 11th International Conference on
Conference_Location
Venice
Print_ISBN
978-1-4577-1830-4
Type
conf
DOI
10.1109/EEEIC.2012.6221519
Filename
6221519
Link To Document