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
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;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2013 IEEE PES Asia-Pacific
Conference_Location :
Kowloon
DOI :
10.1109/APPEEC.2013.6837124