An active distribution network operation evaluation method based on multivariate data

Abstract

The invention discloses an active distribution network operation evaluation method based on multivariate data, which ensures that the static and dynamic electrical parameters of the distribution network are constructed by the multi-level model which conforms to its internal logic, and also gives reasonable and effective data of all the multi-sources available in the distribution network, and reflects the actual state of the distribution network operation very objectively and realistically through the strict verification of the processing method.

Description

technical field [0001] The invention relates to a multivariate data-based active distribution network operation evaluation method used in the field of network evaluation. Background technique [0002] At present, with the increasing scale of my country's power grid, the distribution network, as the link between power generation and transmission systems and users, plays a vital role in the entire power system. Once a failure occurs, it will not only cause huge economic losses, but also have a huge impact on society. Accurate state assessment of urban distribution network and timely detection of state changes and potential safety hazards can not only provide an important basis for distribution network planning and construction, but also ensure the stable operation of the power system. Therefore, establishing a scientific and reasonable comprehensive evaluation system of urban distribution network has important practical significance for locating the main problems and weak link...

AI Technical Summary

Problems solved by technology

[0003] Most of the current distribution network evaluation methods evaluate the operation of distribution network through traditional evaluation methods such as distribution network development coordination, operation efficiency and economic benefits. Most of these evaluation indicators are static indicators, and it is difficult to evaluate the increasingly complex distribution network. Accurate and real-time precise evaluation of the operation, and due to the increasingly complex distributed new energy access in the distribution network and the secondary equipment of the distribution network that is growing rapidly in both quantity and strategy, the amount of data that can be used for distribution network evaluation It has been greatly expanded, while other current distribution network evaluation standards have not been able to establish a reasonable and effective big data processing system, and it is difficult to achieve satisfactory performance in multi-source data processing

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