“…The topic of peak to average ratio reduction through appliance scheduling was investigated in literature through various approaches [29][30][31][32]. The topic was discussed in [29] through a human expert based methodology.…”
Section: Peak To Average Ratio Minimizationmentioning
confidence: 99%
“…By reviewing the work in [31], it was visible that it was limited to shiftable and non shiftable appliances where each appliance has a specific watt consumption rather than an operational load model (a function of electricity availability, temperature…etc) as will be presented in this paper. The scheduling problem in [31] was handled through heuristic techniques without incorporating AC power flow to verify the scheduled pattern as with the grid operational codes. The latter was also not accounted for in [33].…”
Section: Gaps To Overcome and Contributionmentioning
confidence: 99%
“…In [30], a multi‐objective function of a mixed integer linear programming (MILP) problem was applied for peak load and electricity cost reductions in a goal programming approach. A similar appliance scheduling problem was presented in [31] where the minimised objective consisted of two parts: electricity cost and peak‐to‐average ratio. Also, the peak‐to‐average ratio and energy consumption minimisations were both achieved in [32] in an environment enabling pricing at the end of the day.…”
Section: Overview Of Dsm Researchmentioning
confidence: 99%
“…By reviewing the work in [31], it was visible that it was limited to shiftable and non‐shiftable appliances where each appliance has a specific watt consumption rather than an operational load model (a function of electricity availability, temperature etc.) as will be presented here.…”
Section: Appliance Coordination For Electricity Access: Gaps and Prosmentioning
confidence: 99%
“…as will be presented here. The scheduling problem in [31] was handled through heuristic techniques without incorporating AC power flow to verify the scheduled pattern as with the grid operational codes. The latter was also not accounted for in [33].…”
Section: Appliance Coordination For Electricity Access: Gaps and Prosmentioning
Meeting electricity demand in remote communities and non-electrified regions in the poor developing world is a challenge. Power generation is in shortage compared to electricity demand. Electric utilities either would enforce grid's zonal load curtailment or not electrify regions. Controlling electricity demand can play a vital role in enabling electricity access; however, weather uncertainty drives electricity demand variability. This paper provides an overview of current demand side management research, identify research gaps and propose a more promising approach to enable electricity access. Also, it proposes manipulating appliances models to fit their operation in applications where power supply shortage is an issue such. The proposed work considers the effect of the probabilistic nature of weather and meeting AC grid codes of operation.
“…The topic of peak to average ratio reduction through appliance scheduling was investigated in literature through various approaches [29][30][31][32]. The topic was discussed in [29] through a human expert based methodology.…”
Section: Peak To Average Ratio Minimizationmentioning
confidence: 99%
“…By reviewing the work in [31], it was visible that it was limited to shiftable and non shiftable appliances where each appliance has a specific watt consumption rather than an operational load model (a function of electricity availability, temperature…etc) as will be presented in this paper. The scheduling problem in [31] was handled through heuristic techniques without incorporating AC power flow to verify the scheduled pattern as with the grid operational codes. The latter was also not accounted for in [33].…”
Section: Gaps To Overcome and Contributionmentioning
confidence: 99%
“…In [30], a multi‐objective function of a mixed integer linear programming (MILP) problem was applied for peak load and electricity cost reductions in a goal programming approach. A similar appliance scheduling problem was presented in [31] where the minimised objective consisted of two parts: electricity cost and peak‐to‐average ratio. Also, the peak‐to‐average ratio and energy consumption minimisations were both achieved in [32] in an environment enabling pricing at the end of the day.…”
Section: Overview Of Dsm Researchmentioning
confidence: 99%
“…By reviewing the work in [31], it was visible that it was limited to shiftable and non‐shiftable appliances where each appliance has a specific watt consumption rather than an operational load model (a function of electricity availability, temperature etc.) as will be presented here.…”
Section: Appliance Coordination For Electricity Access: Gaps and Prosmentioning
confidence: 99%
“…as will be presented here. The scheduling problem in [31] was handled through heuristic techniques without incorporating AC power flow to verify the scheduled pattern as with the grid operational codes. The latter was also not accounted for in [33].…”
Section: Appliance Coordination For Electricity Access: Gaps and Prosmentioning
Meeting electricity demand in remote communities and non-electrified regions in the poor developing world is a challenge. Power generation is in shortage compared to electricity demand. Electric utilities either would enforce grid's zonal load curtailment or not electrify regions. Controlling electricity demand can play a vital role in enabling electricity access; however, weather uncertainty drives electricity demand variability. This paper provides an overview of current demand side management research, identify research gaps and propose a more promising approach to enable electricity access. Also, it proposes manipulating appliances models to fit their operation in applications where power supply shortage is an issue such. The proposed work considers the effect of the probabilistic nature of weather and meeting AC grid codes of operation.
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