Advanced optimization progressive control method for composite energy storage

Abstract

The invention discloses an advanced optimization progressive control method for composite energy storage. The method comprises the steps as follows: 1), an extraction interval of advanced predictive information is determined by the aid of probability distribution statistics of duration of adjacent inflation intervals, and the extraction interval is taken as a progressive control time step of an optimal control strategy; 2), leading factors affecting the operation efficiency of a composite energy storage system are converged and analyzed, and a charge and discharge control strategy is constructed for the factors; 3), an optimization model is constructed taking a minimum SOC (state of charge) deflection variance as an objective function, charge and discharge power and capacity limit constraint is taken into consideration, and a charge and discharge power preset coordination change model of a composite energy storage medium in a future single step long control process is obtained; and 4), a solution algorithm and implementation steps are provided. According to the method, inadaptability of an established mode to unknown calm information can be eliminated, a charge and discharge coordination manner is constructed and optimized by using the predictive information in a selected progressive interval, the integral HESS operation effect is effectively improved, and the method has optimization and improvement effects in aspects such as SOC, charge and discharge switch, calm effects and the like.

Description

technical field [0001] The invention relates to an advanced optimization progressive control method of composite energy storage. Background technique [0002] With the rapid development of distributed renewable energy generation, energy storage has become an important way to stabilize energy flow and its spatio-temporal transmission due to its inherent properties of intermittent and randomness. Considering the price bottleneck of current energy storage technology, current energy storage is mainly used for energy balance of microgrid] and fluctuation stabilization of large-scale renewable energy generation. The above-mentioned research on the latter is of great significance for weakening the random characteristics of intermittent energy sources and improving the utilization rate of wind resources, and has become an important way to improve the controllability of large-scale wind power. [0003] In view of the fact that there is no energy storage medium with outstanding chara...

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Problems solved by technology

But at the same time, considering the real-time control of composite energy storage operation and the unknown of intermittent future output, the control strategy of the conventional established model cannot adapt to the extreme complexity of future wind farm output, so it cannot realize various For the optimization control of the time period and even the whole process, the conventional mode inevitably has a certain degree of subjectivity, and the above-mentioned related studies have not discussed and solved this problem

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