Adaptive partition state coordination estimation method for high-capacity battery energy storage system

Abstract

The invention discloses an adaptive partition state coordination estimation method for a high-capacity battery energy storage system, and the method comprises the steps: carrying out the equivalent replacement of battery boxes with the same functions in the system, and forming a simplest element topological graph; according to a partitioning principle, partitioning the battery energy storage system on the simplest element topology; aiming at battery management system online monitoring data of different partitions, overcoming random error terms of the different partitions based on a weighted least square method, and carrying out state estimation; traversing each partition of the simplest element topological graph, and carrying out iterative calculation to obtain a state estimation value of each partition of the system; performing dynamic sorting on the monitoring data of each partition based on the deviation degree of the common boundary of the partition, and calculating an output power correction value; and realizing coordination state estimation of the whole system based on the deviation coefficient matrix and output power correction value iterative calculation. According to the method, the problems of high redundancy and low response speed of the existing partition state estimation technology are solved, and system power scheduling imbalance and state misjudgment possibly caused by a traditional method are avoided.

Description

technical field [0001] The invention relates to the technical field of battery energy storage systems, in particular to an adaptive partition state coordination estimation method for large-capacity battery energy storage systems. Background technique [0002] With the wide application of large-capacity battery energy storage systems, the unified load scheduling of each partition in the system is closely related to the operating state estimation results of each battery partition. However, there are limitations in the monitoring and data management functions of the current battery management system. There is a lot of redundancy in operating state monitoring, and the monitoring speed and accuracy are difficult to meet the requirements of unified load scheduling. Therefore, the partition state estimation of large-capacity battery energy storage systems is a current research hotspot. [0003] In the past, the zoning method of large-capacity battery energy storage systems generall...

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Problems solved by technology

[0015] In view of the above problems, the purpose of the present invention is to provide a large-capacity battery energy storage system adaptive partition state coordination estimation method, based on the battery energy storage system operating architecture, the system topology structure is simplified through the interval merging method, and the battery self-adaptive partition is formed, so that The state estimation results of the whole system can truly reflect the operating state of the system, solve the problems of large redundancy and slow response speed of the existing partition state estimation technology, and avoid system power scheduling imbalance and state misjudgment that may be caused by traditional methods

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