Abstract:
Balancing the energy demand and supply in real-time is vital for the power
grid's stable and reliable operation. Traditionally, this task is accomplished by
managing the supply. At times, when controlling generation is not feasible or
not economically viable, blanket load-shedding of one or more large areas has
opted. This leads to signi cant inconveniences for the end-users. To handle the
problem e ectively, this thesis proposes an appliance-wise energy consumption
management strategy that considers the end-users' preferences and compensates
for the inconveniences. To this end, two types of tari environments are
explored, viz. traditional inclining block rate tari s and dynamic pricing tari s.
The former is suitable for the present developing region context, and the latter
envisages the futuristic scenario. To enable this appliance-wise energy management,
initially, two appliance-wise energy consumption monitoring strategies
are developed in this thesis, viz., non-intrusive and semi-intrusive load monitoring
for old and new residences. To ensure practicality, importance is given
to cost, accuracy and end-users' conveniences, and the e cacy of these claims
is validated from simulation and lab-scale testbed results.
