DocumentCode
690622
Title
Power system probabilistic production simulation containing large-scale wind power and photovoltaic power
Author
Shi Tao ; Yu Ruoying ; Zhu Lingzhi ; Gao Shan
Author_Institution
China Electr. Power Res. Inst., Nanjing, China
fYear
2013
fDate
8-11 Dec. 2013
Firstpage
1
Lastpage
6
Abstract
Traditional probabilistic production simulation method generally use the load duration curve, which is difficult to deal with the issue of intermittent renewable energy power generation. This paper proposed a new methodology for probabilistic production simulation of power system, which could consider the time correlation between the wind power, photovoltaic (PV) power and the load. In the method, the effective capacity distribution cumulant method, which is based on time-series load, was applied, and a simplified method to calculate the Beta distribution parameter of the PV output was put forward. Not only the time correlation between the wind power, PV power and the load, but also the random fluctuation of the PV output were considered. It could be used to calculate the reliability indices under the corresponding load level of different periods. The effectiveness of the method was verified based on the irradiance and unit data of a virtual test system.
Keywords
photovoltaic power systems; power generation planning; statistical distributions; time series; wind power plants; Beta distribution parameter; PV output; capacity distribution cumulant method; intermittent renewable energy power generation; large-scale photovoltaic power; large-scale wind power; load duration curve; power system probabilistic production simulation; time-series load; virtual test system; Capacity planning; Load modeling; Power generation; Power systems; Probabilistic logic; Wind farms; Beta distribution; effective capacity; photovoltaic power; probabilistic production simulation; wind power;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Engineering Conference (APPEEC), 2013 IEEE PES Asia-Pacific
Conference_Location
Kowloon
Type
conf
DOI
10.1109/APPEEC.2013.6837124
Filename
6837124
Link To Document