Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.733953
Title: Residential demand side scheduling considering users' concerns and uncertainties
Author: Du, Yuefang
ISNI:       0000 0004 6496 6445
Awarding Body: University of Liverpool
Current Institution: University of Liverpool
Date of Award: 2017
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Abstract:
In the residential demand side scheduling (RDSS), the energy consumption of home appliances should be scheduled with users' concerns satisfied and uncertain factors should be taken into account as they affect users' concerns. The operational safety of appliances is of great concern to users especially when appliances are scheduled in periods when users are not at home or are asleep. In these periods, appliances are in operation without users' monitoring. The energy consumption of manually operated appliances (MOAs) is uncertain when the energy consumption of schedulable appliances is scheduled and this uncertainty will affect users' electricity cost. The uncertainty of outdoor temperature has impact on the energy consumption scheduling of the heating, ventilation and air conditioning system which is one of the main RDSS sources, and it affects both the electricity cost and users' comfort. The appliances' operational safety is formulated based on whether users are at home and awake to monitor appliances' operations. The approach of finding the Pareto-optimal front is adopted to solve the multi-objective RDSS with the consid- eration of the operational safety of appliances. The uncertainties of MOAs and the outdoor temperature are dealt with through the robust optimization approach and the distributionally robust optimization approach, respectively. With the consideration of the operational safety of appliances and uncertainties of MOAs and the outdoor temperature, the RDSS is further improved with the electricity cost reduced and users' concerns satisfied.
Supervisor: Jiang, L. Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.733953  DOI:
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