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 Tools annual

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 monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

In the literature, smart grids are modeled as cyber-physical power systemswithout considering the computational social aspects. However, end-users areplaying a key role in their operation and response to disturbances via demandresponse and distributed energy resources. Therefore, due to the critical roleof active and passive end-users and the intermittency of renewable energy,smart grids must be planned and operated by considering the computationalsocial aspects in addition to the technical aspects. The level of cooperation,flexibility, and other social features of the various stakeholders, includingconsumers, prosumers, and microgrids, affect the system efficiency,reliability, and resilience. In this paper, we design an artificial societysimulating the interaction between power systems and the social communitiesthat they serve via agent-based modeling inspired by Barsade's theory on theemotional spread. The simulation results show a decline in the consumers' andprosumers' satisfaction levels induced by a shortage of electricity. It alsoshows the effects of social diffusion via the Internet and mass media on thesatisfaction level. In view of the importance of computational social sciencefor power system applications and the limited number of publications devoted toit, we provide a list of research topics that need to be achieved to enhancethe reliability and resilience of power systems' operation and planning.

Research Needed in Computational Social Science for Power System Reliability, Resilience, and Restoration