The application provides a kind of GAPSO
algorithm-based
power station load tracking method, including
data acquisition and preprocessing, and related data of
power grid and
power station are collected and processed;A
power grid load forecasting model based on GAPSO
algorithm is constructed, variables are determined, and an optimized neural network is constructed;The charge-
discharge strategy of
energy storage power station is optimized, the objective function is established and solved;Real-time scheduling and response are carried out,
data monitoring, decision-making and adjustment of power
station state are carried out;Multi-objective optimization adjustment is carried out, function is constructed, solved and continuously improved.The application improves the
load forecasting accuracy, optimizes the power
station operation strategy, enhances the real-time scheduling and response capability, realizes the multi-objective comprehensive optimization, effectively improves the operation efficiency and adaptability of
energy storage power
station in power
system.