杨苏, 黄俊辉, 关志坚, et al. Research of reliability analysis of generation systems with photovoltaic stations[J]. 2017, 19(4).
DOI:
杨苏, 黄俊辉, 关志坚, et al. Research of reliability analysis of generation systems with photovoltaic stations[J]. 2017, 19(4). DOI: 10.3969/j.issn.1009-1831.2017.04.005.
Research of reliability analysis of generation systems with photovoltaic stations
analyzing its impacts on reliability of power grid accurately has practical significance.This paper puts forward a novel method for modeling the PV output
based on optimal segmentation and multidimensional clustering method
which can retention circadian and seasonal timing characteristics well.Firstly
according to the effective output time of PV in a day
using Fisher optimal segmentation algorithm
year simulation period gets optimal segmentation.Secondly
using multidimensional cluster method of fuzzy c-mean cluster algorithm
each period is analyzed.This method makes photovoltaic output modeling more refined
and preserves its local properties better.Applied in IEEE-RTS test system
the reliability analysis uses meas-ured PV output in Ningxia.The year simulation period is divided into five optimal periods
and at each period
the impact on power system reliability of PV is analyzed.The result shows the effectiveness of the method
and provides significant guidance on PV capacity planning.