Charging-discharging control method of cell energy storing system in wind power plant

Abstract

The invention relates to a charging-discharging control method of a cell energy storing system in a wind power plant, which belongs to the technical field of optimized computing of a power system, and comprises the steps of adopting a dual-process computing method based on a modern interior point method for resolving a model by aiming at a charging-discharging control model of a BESS(battery energy storing system) in the wind power plant under three modes of wind power peak-clipping valley-filling, power smoothing and tracking curve, thus fast and effectively resolving the charging-discharging control model and obtaining the active power value outputted by the BESS in each time period in the control time. The charging-discharging control method has better convergence and limits the charging-discharging energy of the BESS in one period, thus facilitating prolonging the service life of a cell. The active power adjusting interval of the BESS can be reduced by performing interpolation on the active power predicted data of the wind power plant, thus performing limiting on the active power fluctuation of the wind power plant in different time scales.

Description

technical field [0001] The invention relates to a charging and discharging control method for a battery energy storage system in a wind farm, and belongs to the technical field of power system optimization calculation. Background technique [0002] In recent years, renewable energy technology represented by wind power generation technology has developed rapidly. However, due to the randomness, intermittentness, and instability of wind energy, large-scale wind farms will affect the stability of the grid, power quality, and Negative impacts on power grid dispatching and many other aspects. Therefore, it is very necessary to reduce the fluctuation of wind farm output power, and the impact of wind power grid connection can be improved by static var compensator, static synchronous compensator, energy storage system, etc. Among the above measures, battery energy storage system (Battery Energy Storage System, hereinafter referred to as BESS) has been widely studied because of its ...

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Problems solved by technology

The optimization results of such a model are too rough, and the start and end times of battery charge and discharge are not accurate, and it is impossible to stabilize the load power fluctuations on the minute-level time scale.

In addition, the nonlinear physical constraints of the battery make the optimization model difficult to solve

One of the key points of the smoothing algorithm is how to consider the battery life of the energy storage system and the limitations of power and energy constraints. The algorithm is positioned for smoothing the active power of the wind farm in the short term, and lacks the consideration of the optimal smoothing effect in the long-term scale

The charging and discharging strategy based on the dynamic programming algorithm is aimed at smoothing the active power of the wind farm and tracking the specified active power curve of the power generation. As the level increases, the calculation time will increase greatly, which is not conducive to real-time control

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