Ultra-short-term prediction-based smooth new energy power generation control method for energy storage system

Abstract

The invention provides an ultra-short-term prediction-based smooth new energy power generation control method for an energy storage system. The method comprises the following steps: reading related operation data of new energy and the energy storage system; building a target function on the basis of an ultra-short-term prediction power and a charged state of the energy storage system; optimizing six control variables in a control strategy by an adaptive chaotic particle swarm optimization algorithm according to the target function; obtaining a power command value of the energy storage system on the basis of the optimal solution of the control variables and carrying out power limitation on the power command value of the energy storage system; updating the control variables in a rolling manner according to the characteristic that ultra-short-term prediction forecasts once every 15 minutes; and outputting the power command value of the energy storage system to an energy storage control system to execute control on the energy storage system, and achieving a smoothing function of new energy output. By the ultra-short-term prediction-based smooth new energy power generation control method for the energy storage system, the charged state of the energy storage system is kept in an appropriate level; the continuous charging and discharging capabilities of the energy storage system are improved; and cooperative optimization of the smoothing capability and the performance index of the energy storage system is achieved.

Description

technical field [0001] The invention relates to a smooth new energy generation control method, in particular to a smooth new energy power generation control method for an energy storage system based on ultra-short-term prediction. Background technique [0002] With the continuous development of new energy sources and the large-scale grid connection of wind power and photovoltaics, the problem of fluctuations in their output has become increasingly serious. Since wind power and photovoltaics are renewable energy sources, their output is affected by factors such as climate, terrain, and light, resulting in uncertainty in their output. The output cannot always remain constant, and to a large extent, it changes at any time. It is highly volatile and intermittent. After the new energy is connected to the grid, its volatility will have a negative impact on the stability of the grid operation. With the increasing proportion of new energy grid-connected in the grid, the smooth con...

AI Technical Summary

Problems solved by technology

While the existing control strategy controls the charge and discharge of the energy storage system, it does not consider the state of charge of the energy storage system, which will easily cause excessive charge and discharge of the energy storage system, reduce the remaining available capacity of the energy storage system, and reduce the storage capacity. The

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