An optimal control method for energy storage system with variable progressive step and expected output

Abstract

The invention discloses a method for optimizing and controlling an energy storage system with variable progressive step length and variable expected outputting. The method comprises the following steps that a single charging and discharging section serves as the progressive control step length, and an SOC critical limiting value circulating charging and discharging model with variable progressive step length and variable expected outputting is established; multi-objective optimization functions with the target of maximum progressive control step length and the minimum overall expected outputting fluctuation ratio are established; on the premise of the SOC critical limiting value circulating charging and discharging model, solution calculation is carried out on the multi-objective optimization functions of the energy storage system based on the NSGA-II algorithm, and the optimal solutions of the multi-objective optimization functions of the energy storage system of a wind power are determined respectively. The maximum ESS utilization rate can be guaranteed through the SOC critical limiting value circulating charging and discharging model, frequent charging and discharging can be avoided through strict charging and discharging state converting, and the continuity of the ESS performance can be guaranteed powerfully. The stabilizing effect of the control strategy can effectively adapt to ultra-short-time prediction and wind electricity economic dispatch level.

Description

technical field [0001] The invention relates to the field of power fluctuation suppression, in particular to an optimal control method for an energy storage system with variable progressive steps and expected outputs. Background technique [0002] Configuring energy storage with a certain proportion of capacity in wind farms is an effective way to stabilize its volatility and smooth power output. However, the energy storage system (ESS) installed in wind farms is currently expensive, and it is necessary to make full use of the configured capacity within its life cycle to improve Its utilization rate and input-output ratio; on the other hand, while effectively utilizing ESS, it is necessary to ensure the rationality of its operation and prolong its service life. For this reason, improving the utilization rate of ESS while ensuring its operation rationality will be the problem that must be solved in the ESS control strategy. [0003] Energy-based energy storage represented by...

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Problems solved by technology

[0006] 2. Adding the feedback compensation amount to correct the ESS charging and discharging power in the control process can coordinate the SOC to make it in a good operating state; but this method may cause a step change in the grid-connected power command and affect the smoothness of the grid-connected power

[0008] The above-mentioned related research focuses on the response to a certain influencing factor, and the effective adjustment of a single indicator (such as operation rationality) is likely to reduce the attention of other factors (such as utilization rate)

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