CAPÍTULO III. DETERMINACIÓN DE SANCIONES
III.2 MEDIDAS SUSTITUTIVAS DEL ENCARCELAMIENTO (3.B)
The residential demand management strategies rewarding consumers and
considering their comfort and preferences were designed and implemented. The models of
the appliances which can be controlled to contribute in demand reduction were
implemented. A framework for the demand reduction employing the DRP approach to
allocate the demand limit was developed and implemented. Two case studies were
conducted to demonstrate the feasibility and implementation of this framework. From the
first case study where the HVAC and EWH of the consumers were controlled, the results
demonstrated that in addition to achieving the required demand reduction, the consumers’
comfort were maintained as per their willingness and they were rewarded accordingly.
The second case study investigated the contribution of time-shiftable appliances in the
demand reduction at the required time. The new incentives compensation designed based
on the level of inconvenience was provided to the consumers. Furthermore, the results
showed the proposed approach can save the electricity costs by 11.3% on average
compared with the base case (where there is no energy optimization) and also the
proposed approach can save 6.2% (on average) more than the TOU-based demand
management case considering the similar environment settings for all cases.
On the other hand, a three-level hierarchical framework for the demand reduction
from large number of residential consumers was investigated, where a novel bidding
strategy was developed and the electricity market analysis was included. The designed
framework ensures algorithm scalability, as well as maintains the privacy of the residential
from the proposed incentive-based energy optimization. From a consumer’s perspective,
the proposed reward was flexible, where one could choose to get more reward for
providing thermal flexibility of appliances, or could remain within a desired comfort
region receiving less reward. This was evidenced from the minimum and maximum
reward consumers received in the results, i.e., $0 and $25. On the other hand, from the
market analysis the utility’s net savings was $28, 217 by conducting the demand reduction
just for one hour, where 1.2 MW peak demand was reduced.
Therefore, in conclusion, the residential demand management can contribute to the
demand reduction, which can benefit the consumers as well as the utility. Meanwhile, the
identification of suitable demand reduction time can provide significant financial benefits
to the utility. In order to encourage the consumers to participate, providing incentives and
ensuring consumers’ comfort play a vital role. In this regard, the incentives should be
appropriate enough to motivate the consumers and should not affect the minimum savings
required to the utility. So, identifying the proper method to estimate the appropriate
incentives is a future work to this work. Also, incorporating the rooftop photovoltaic
systems with the proposed demand management strategies could increase the benefits to
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