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/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

With the increase of residential power consumption and the expansion of power system, distribution networks may face low voltage problem. The low voltage problem affects the normal power consumption of user and the safe and stable operation of power system. To solve it, a low voltage governance and optimization strategy for distribution network is proposed in this paper. First, a low-voltage identification method is proposed to determine low voltage governance objects and form the low-voltage database. Then, an optimization model considering multiple governance measures is derived and finally the multi-objective particles swarm optimization method is applied to solve it. The proposed method has been tested by a local distribution network system in Guangzhou. The simulation results show good governance effect of reducing low voltage area and improving the economy and stability of power grid, which can be used in the low voltage governance and power flow optimization for the distribution network.

A Low Voltage Governance and Optimization Strategy for Distribution Network Based on Multi-objective Particle Swarm Optimization Algorithm