DocumentCode :
2133034
Title :
Demand-side approaches to manage electricity outages in developing countries
Author :
Natarajan, Venkat ; Closepet, Amit S.
Author_Institution :
Frugal Innovation Res., Intel Labs., Bangalore, India
fYear :
2012
fDate :
9-12 Sept. 2012
Firstpage :
829
Lastpage :
835
Abstract :
This paper describes significant cost saving opportunities for consumers in developing countries by the use of computational intelligence and demand-side-management techniques to mitigate the massive use of diesel back-up during grid outages. Application of load scheduling optimization is investigated during scheduled power outages for statistical distributions of loads and diesel pricing for residential consumer in India under conditions of both a flat-rate and Time-of-Day grid tariff structure. Two load shifting approaches are explored - a casual load shift out of blackout region and a combined TOD-Outage scheduler. The load types modeled include passive loads and schedulable. Maximum executable peak load at any time is constrained by an aggregate load limit. The maximum diesel savings for consumer due to load shifting can be approximately 40% for a flat-tariff grid to more than 70% for a TOD-tariff grid. Effect of rising diesel prices on the economic benefits of load-shifting is also examined.
Keywords :
demand side management; optimisation; power generation scheduling; power grids; pricing; statistical distributions; tariffs; combined TOD-outage scheduler; computational intelligence techniques; demand-side approach; demand-side-management techniques; diesel back-up; diesel pricing; electricity grid outage management; flat-rate grid tariff structure; load scheduling optimization; load shifting approaches; statistical distributions; time-of-day grid tariff structure; Cities and towns; Electricity; Load modeling; Optimization; Power system faults; Power system restoration; Pricing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Energy Conference and Exhibition (ENERGYCON), 2012 IEEE International
Conference_Location :
Florence
Print_ISBN :
978-1-4673-1453-4
Type :
conf
DOI :
10.1109/EnergyCon.2012.6348266
Filename :
6348266
Link To Document :
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