Multi-level model predictive control for all-electric ships with hybrid power generation

Power availability to preserve propulsion is a vital issue in the shipping industry which relies on persistent power generation and maintaining the stability of the power and propulsion system. Since the introduction of on-board all-electric Direct Current Power and Propulsion Systems (DC-PPS) with hybrid power generation, which are more...

Component sizing and energy management for SOFC-based ship power systems

The shipping industry is facing increasing demands to reduce its environmental footprints. This has resulted in adoption of new and more environmental friendly power sources and fuels for on-board power generation. One of these novel power sources is the Solid Oxide Fuel Cell (SOFC) which has a great potential to act as a power source, thanks...

On-board voltage regulation for all-electric DC ships ^⁎

In this paper, a control strategy is proposed for the voltage regulation and the shaft speed control of diesel generators on-board of all-electric ships with Direct Current (DC) power and propulsion systems. The proposed methodology is based on Input-Output Feedback Linearization (IOFL) of the prime mover dynamical model. First, a model for...

Distributed control applied to combined electricity and natural gas infrastructures

The optimization of combined electricity and natural gas systems is addressed in this paper. The two networks are connected via energy hubs. Using the energy hub concept, the interactions between the different infrastructures can be analyzed. A system consisting of several interconnected hubs forms a distributed power generation structure where...

Adaptive prediction model accuracy in the control of residential energy resources

With the increasing use of distributed energy resources and intelligence in the electricity infrastructure, the possibilities for minimizing costs of household energy consumption increase. Technology is moving toward a situation in which automated energy management systems could control domestic energy generation, storage, and consumption. In...

Least-cost model predictive control of residential energy resources when applying ?mCHP

With an increasing use of distributed energy resources and intelligence in the electricity infrastructure, the possibilities for minimizing costs of household energy consumption increase. Technology is moving toward a situation in which households manage their own energy generation and consumption, possibly in cooperation with each other. As a...