DISPATCHING METHOD FOR POWER GENERATION AND CONSUMPTION OF HYDRO-WIND-PHOTOVOLTAIC SYSTEMS WITH METEOROLOGICAL DOWNSCALING

Abstract

The present invention belongs to the field of multi-energy complementary and coordinated operations, and discloses a dispatching method for power generation and consumption of hydro-wind-photovoltaic systems with meteorological downscaling. The support vector machine regression algorithm was adopted to identify different hydro-meteorological variable data, achieving high-resolution spatial downscaling through statistical modeling between observational data and meteorological variables. Wind and photovoltaic power generation profiles were derived using established empirical power curve models. Sequential peak-shaving operation modes were introduced to formulate the linkage equation between peak shaving and the consumption of hydropower, wind power, and photovoltaic power, thereby preventing the overestimation of energy consumption that typically arises from neglecting climate variability and short-term generation characteristics. Case studies were conducted using cascaded hydropower plants on Lancang River and wind and photovoltaic power stations located in the river's surrounding areas in Yunnan. The results show that the present invention can significantly reduce hydro-meteorological downscaling errors.

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