Title :
Optimal Demand-Side Management and Power Generation Scheduling in an All-Electric Ship
Author :
Kanellos, Fotis D. ; Tsekouras, George J. ; Hatziargyriou, Nikos D.
Author_Institution :
Dept. of Production Eng. & Manage., Tech. Univ. of Crete, Chania, Greece
Abstract :
The worldwide effort for the development of more efficient and environmentally friendly ships has led to the development of new concepts. Extensive electrification is a very promising technology for this purpose. Together with optimal power management can lead to a substantial improvement in ship efficiency ensuring, at the same time, compliance with the environmental constraints and enhancing ship sustainability. In this paper, a method for optimal demand-side management and power generation scheduling is proposed. Demand-side management is based on the adjustment of the power consumed by ship electric propulsion motors, and no energy storage facility is exploited. Dynamic programming algorithm subjected to ship operation and environmental and travel constraints is used to solve the problem for all-electric ships (AESs). Simulation results prove that the proposed method ensures cost minimization of ship power system operation, greenhouse gas (GHG) emissions limitation, and compliance with all technical and operational constraints.
Keywords :
air pollution control; cost reduction; demand side management; dynamic programming; electric motors; electric propulsion; energy management systems; marine power systems; minimisation; power consumption; power generation economics; power generation scheduling; power system management; AES; GHG emission; all-electric ship; cost minimization; dynamic programming algorithm; energy storage; environmental constraint; extensive electrification; greenhouse gas emission; optimal demand-side management; optimal power management; power consumption; power generation scheduling; ship electric propulsion motor; Dynamic programming; Energy efficiency; Generators; Marine vehicles; Optimization; Power generation; Propulsion; All-electric ship (AES); demand-side management; dynamic programming; greenhouse gas (GHG) emissions; optimization; ship energy efficiency; unit commitment;
Journal_Title :
Sustainable Energy, IEEE Transactions on
DOI :
10.1109/TSTE.2014.2336973