Open AccessEnabling electricity access: revisiting load models for AC‐grid operation ‐ Part I
Author(s) -
AlSumaiti Ameena Saad,
Salama Magdy,
ElMoursi Mohamed,
Alsumaiti Tareefa S.,
Marzband Mousa
Publication year - 2019
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2018.5556
Subject(s) - electricity , grid , economic shortage , environmental economics , electricity demand , computer science , stand alone power system , mains electricity , electricity generation , electricity retailing , peak demand , demand response , work (physics) , load management , national grid , probabilistic logic , electricity market , distributed generation , power (physics) , renewable energy , electrical engineering , engineering , economics , quantum mechanics , physics , philosophy , mathematics , voltage , artificial intelligence , government (linguistics) , linguistics , geometry , mechanical engineering
Meeting electricity demand in remote communities and non‐electrified regions in the poor developing world is a challenge. Power generation is in shortage compared to electricity demand. Electric utilities either would enforce grid's zonal load curtailment or not electrify regions. Controlling electricity demand can play a vital role in enabling electricity access; however, weather uncertainty drives electricity demand variability. This article provides an overview of current demand‐side management research, identify research gaps, and propose a more promising approach to enable electricity access. Also, it proposes manipulating appliances models to fit their operation in applications where power supply shortage is an issue. The proposed work considers the effect of the probabilistic nature of weather and meeting AC grid codes of operation.