An energy storage capacity allocation method for wind power plan optimization and deviation compensation considering grid economic operation

Abstract

The present invention relates to the technical field of new energy power generation, and specifically relates to a method for configuring energy storage capacity for wind power plan optimization and deviation compensation in consideration of grid economic operation, including the following steps: First, from the perspective of power generation operators, the annual wind power generation is counted on a daily basis Forecast deviation, according to the deviation data and deviation distribution characteristics, calculate the configuration of energy storage capacity required for daily power generation forecast deviation compensation; on this basis, from the perspective of power grid operation, consider the characteristics of power grid load changes in different periods for the original deviation data, According to the change of the power supply demand of the power grid, the load demand rises, peaks, falls, valleys and uncertain periods are divided, and the load fitness factor is set for the deviation required to be compensated, and the integral statistics are used to optimize the energy storage allocation demand for the first time; the present invention is based on reasonable consideration of the power grid The final capacity allocation is obtained under the factors of load change and economic operation of the power market, which can meet the accuracy requirements of wind power grid-connected forecast and improve the ability of wind power grid-connected operation.

Description

Technical field [0001] This invention relates to the field of new energy technologies for power generation, in particular to a consideration of the economic operation of wind power grid plan optimization and energy storage capacity configuration deviation compensation method. Background technique [0002] With the increase of the proportion of full-grid wind power accounted for a large extent influence the supply and demand balance of power, the National Energy Board issued a wind power prediction system functional specifications, accurate prediction of wind power demanding indexing. Wind power forecast data mainly from wind power forecast from the beginning of the prediction based on a physical model behind the prediction based on statistical analysis of data from a single prediction technology into an integrated complex combination of forecasting techniques, with the advance forecasting techniques to predict accuracy has improved, but the data processing speed of the computer's...

AI Technical Summary

Problems solved by technology

Wind power grid-connected forecast data mainly comes from wind power forecasting, from the initial forecast based on physical models to the later forecast based on data statistical analysis, from a single forecasting technology to a comprehensive complex combination forecasting technology. With the advancement of forecasting technology, forecasting The accuracy has improved, but the data processing speed and memory function requirements of the computer have also increased

[0003] Although the prediction error appears to have decreased, with the increase of wind power installed capacity, the absolute error is still on the rise

From the perspective of power grid dispatching and operation, forecast uncertainty will affect the adjustment of active power of the power grid and the operation and management of the power grid, which will bring difficulties to frequency regulation and peak regulation.

Therefore, experts and scholars pin their hopes on reducing the deviation on the dispatching system. Unpredictable deviations can only be suppressed by the reserve capacity of the power grid, which virtually increases the cost of power grid operation. The inefficient use of standby units is itself a waste, especially The investment in thermal power that consumes coal resources has exacerbated the depletion of energy

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