English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Zendy Plus

Presents the zaia usage as premium feature

ZAIA

Presents the pdf analysis as premium feature

PDF Analysis

Insights

Presents the summarisation as premium feature

Summarisation

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the access of premium content as premium feature

Premium Content

Zendy Tools

Zendy Open

With the rapid development of the Chinese electric power industry, the working load of staff members in some provincial power dispatching centers has increased tremendously and may cause potential threats to the secure operation of power systems. The working load can be reduced by transferring the dispatching rights of some equipment and power lines to the lower-level local dispatching centers, but the security of the power system will a major concern. The suitability of the dispatching right devolution for some parts of a power system depends mainly on the network structure and criticality of the system. In this work, a few indices are first developed to reflect the power network structure, and then a new method for the comprehensive assessment of the power network structure is presented through the combined use of the fuzzy comprehensive evaluation and the entropy weight decision-making method. The fuzzy set approach is employed to identify the membership degree of each index to various evaluation results, whereas the entropy weight method is used to acquire the sets of weighting factors. This method represents a unified one of the quantitative results obtained from the power structure data and the qualitative results based on the judgment of domain experts. Finally, practical examples are served for demonstrating the developed approach.  Key words: Dispatching right, power network structure, fuzzy comprehensive evaluation, entropy weight decision-making method, assessment index

A fuzzy comprehensive evaluation and entropy weight decision-making based method for power network structure assessment