TITLE:
Multi-Layer Optimization for Load Scheduling to Manage Unreliable Grid Outages in Developing Countries
AUTHORS:
Amit S. Closepet
KEYWORDS:
Residential Demand Side Management; Diesel Mitigation; Real Time Load Shifting; Power Outage Management; Computational Intelligence
JOURNAL NAME:
Energy and Power Engineering,
Vol.5 No.4B,
November
13,
2013
ABSTRACT:
This paper describes the 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 residential consumer in
India. The specific load shifting approaches explored include a day ahead
predicted load schedule which is generated by performing a DSM referring to the
forecasted day ahead outage. Whereas in reality the predicted may not match the
actual outage, thus in these cases a fuzzy logic rule base is referred on real
time basis to take corrective action & reach the best optimal load schedule
possible to attain the lowest cost. The load types modeled include passive loads
and schedulable, i.e. typically heavy loads. It is found that this multi-level
DSM schemes show excellent benefits to the consumer. The maximum diesel savings
for the consumer due to load shifting can be approximately ranging from 45% to
as high as 75% for a flat-tariff grid. The study also showed that the actual
savings potential depends on the timing of power outage, duration and the
specific load characteristics.