شماره ركورد كنفرانس :
3788
عنوان مقاله :
Optimal Scheduling of Renewable-Based Energy Hubs Considering Time-of-Use Pricing Scheme
عنوان به زبان ديگر :
Optimal Scheduling of Renewable-Based Energy Hubs Considering Time-of-Use Pricing Scheme
پديدآورندگان :
Pasban-Gajan Ali pasban@energy.sharif.edu Department of Energy Engineering Sharif University of Technology Tehran, Iran , Moeini-Aghtaie Moein moeini@sharif.edu Department of Energy Engineering Sharif University of Technology Tehran, Iran , Parvini Zohreh parvini.zohreh@ut.ac.ir Department of Energy Engineering Sharif University of Technology Tehran, Iran , Fotuhi-Firuzabad Mahmud Fotuhi@sharif.edu Department of Energy Engineering Sharif University of Technology Tehran, Iran
كليدواژه :
demand response , energy hub , renewable energy , storage unit.
عنوان كنفرانس :
هفتمين كنفرانس ملي شبكه هاي هوشمند انرژي 96
چكيده فارسي :
To more clearly show the abilities of multi-energy
carrier systems in managing different energy demands, this paper
investigates optimal scheduling of an energy hub in presence of
price-based demand response (DR) programs. In this regard, the
mathematical model of different energy converters and storage
units including combined heat and power (CHP), electrical
storage, heat storage and ice storage are extracted. Then, time-ofuse
(TOU) electrical energy price is set in such a way to reach
lower demand in peak hours. Extracting the optimization model
of energy scheduling for an energy hub in presence of TOU DR
program, the proposed algorithm is implemented on a typical
energy hub and the results are obtained. The results prove the
applicability and efficiency of such energy optimization
algorithms.
چكيده لاتين :
To more clearly show the abilities of multi-energy
carrier systems in managing different energy demands, this paper
investigates optimal scheduling of an energy hub in presence of
price-based demand response (DR) programs. In this regard, the
mathematical model of different energy converters and storage
units including combined heat and power (CHP), electrical
storage, heat storage and ice storage are extracted. Then, time-ofuse
(TOU) electrical energy price is set in such a way to reach
lower demand in peak hours. Extracting the optimization model
of energy scheduling for an energy hub in presence of TOU DR
program, the proposed algorithm is implemented on a typical
energy hub and the results are obtained. The results prove the
applicability and efficiency of such energy optimization
algorithms.
