The invention discloses a statistics method of large-scale
new energy source power generating characteristics, and particularly discloses a quantitative statistics method of large-scale
new energy source power generating natural characteristics (random performance, fluctuation performance, intermittent performance and the like). The method comprises the following steps that power data of a
wind power plant voltage boosting
station, single
machine information of a
wind power generating unit monitoring system or meteorological data at the wheel hub height part of a
wind power plant wind measuring
tower wind power generator set are collected; power data of a
photovoltaic power station voltage boosting
station, the state of a
monitoring system inverter and photovoltaic data of an automatic photovoltaic
station are collected, and the mutual relationship between
new energy sources and water and
electricity year grade are studied and counted. The indexes obtained through statistics are used for evaluating and analyzing the
electric network new
energy source networking accepting capability and evaluating the
system electric power electric quantity balancing capability, the prediction precision of the new
energy source power generating power of an
electric network is improved, the
electric network operation is guided, and the new energy sources are controlled to realize safe power generation. The method has the advantages that the effect of improving the safety and the stability of the operation of an
electric power system is realized, the photovoltaic accepting capability of the electric network is improved, in addition, the operation cost of the
electric power system is reduced, and the
solar energy resources are sufficiently utilized.