DYNAMIC HYBRID CONTROL

• US 20180062388A1
• Filed: 03/17/2016
• Published: 03/01/2018
• Est. Priority Date: 03/20/2015
• Status: Active Grant

• Current Assignee: Kongsberg Maritime As (Government of Norway)
• Original Assignee: Kongsberg Maritime As (Government of Norway)
• Inventors: MATHIESEN, Eirik, REALFSEN, Bjrnar, JOHANNESSEN, Petter Faugstad, JENSSEN, Nils Albert, JRGENSEN, Ole Henrik
• Granted Patent: US 10,170,912 B2
• Time in Patent Office: Days
• CPC Class Codes: B60L 2200/32 Waterborne vessels
• CPC Class Codes: B63H 2021/202 of hybrid electric type
• CPC Class Codes: B63H 21/20 the vessels being powered by combinations of different types of propulsion units
• CPC Class Codes: H02J 2310/12 The local stationary network supplying a household or a building
• CPC Class Codes: H02J 3/003 Load forecast, e.g. methods or systems for forecasting future load demand
• CPC Class Codes: H02J 3/14 by switching loads on to, or off from, network, e.g. progressively balanced loading
• CPC Class Codes: H02J 3/28 Arrangements for balancing of the load in a network by storage of energy
• CPC Class Codes: H02J 3/381 Dispersed generators
• CPC Class Codes: Y02T 70/5236 Renewable or hybrid-electric solutions

Abstract

The present invention relates to a system and method for controlling a power plant in a marine vessel. The system comprises at least one switchboard further comprising,a plurality of power plant members including, power suppliers such as power generators and energy storage elements, at least one consumer, and a Dynamic Hybrid Control unit comprising a measurement means for monitoring predetermined power plant and vessel related parameters,and a computational means for computing and predicting power and energy requirements in the power plant for varying time spans into the future. The system utilizes said power and energy requirements for pre-planning and allocating of power and energy between said power plant members for minimizing transients, including voltage, frequency variations in the power plant and load variations on the power generators.

Claims

1. A system for controlling a power plant in a marine vessel, the power plant comprising;

at least one switchboard including at least one switching device, and at least one consumer; and

at least one power generator supplying electrical energy to the at least one switchboard; and

at least one energy storage device coupled to the switchboard capable of storing excess energy from the switchboard, and capable of sourcing the stored energy through the switchboard to the at least one consumer;

wherein the at least one power generator, the at least one energy storage device, and the at least one consumer are coupled to a Dynamic Hybrid Control (DHC) unit, the control unit controlling the flow of energy on the at least one switchboard;

the DHC unit further comprising;

measurement means for monitoring predetermined power plant and vessel related parameters; and

computational means for computing and predicting power and energy requirements in the power plant for varying time spans into the future, based upon data including, the parameters monitored by the measurement means, pre-determined models, and expected energy flow trends related to the at least one power generator, the at least one energy storage element, and the at least one consumer,

wherein the system utilizes the power and energy requirements predicted by the computational means for pre-planning and allocating of power and energy between the at least one power generator, the at least one energy storage element and the at least one consumer for minimizing transients, including voltage, frequency variations in the power plant and load variations on the at least one power generator due to the transients; and

,

wherein the system transmits feedforward signals for functions including, the prediction, the pre-planning and the allocation;

the feedforward signals including,

power demand;

adapting energy storage devices for handling the transients;

adapting set-point of the at least one power generator; and

setting load limitation on the at least one consumer.

2. The system according to claim 1, wherein the power and energy requirements predicted by the computational means are further used in the system for allocating and adapting the flow of energy between the at least one power generator, the at least one energy storage element and the at least one consumer, such that overall energy consumption in the power plant is minimized.

3. The system according to claim 1, wherein the energy storage device is a battery.

4. The system according to claim 1, wherein the energy storage device is a capacitor.

5. The system according to claim 1, wherein the measurement and computational means comprises, at least partially, a Dynamic Load Prediction system.

6. The system according to claim 1, wherein the at least one consumer includes, propulsion device, such as thruster and propeller, and rudder.

7. The system according claim 1, wherein the at least one consumer is adapted by an individual control module associated with each of the consumer.

8. The system according to claim 1, wherein the DHC unit at least partially comprises a DP system.

9. The system according to claim 1, wherein the DHC unit, further comprising an Energy Control Unit, computes a maximum available load ramp (kW/s) value based upon the status of the at least one energy storage device and the at least one power generator.

10. The system according to claim 1, wherein the system also comprises a Thrust Allocation Module, the Thrust Alocation Module solving at least one non-linear optimization problems to calculate parameters including, thrust amount, load rate, and direction for each of the propulsion devices, for minimizing the overall energy consumption in the power plant.

11. The system according to claim 1, wherein the DHC unit comprising an Energy Control Unit computes a maximum available load ramp (kW/s) value based upon the status of the at least one energy storage device and the at least one power generator, and the system solves an optimization problem based upon a force allocation signal issued by the DP system and the maximum available load ramp value, and then issues a command signal for the propulsion device such that said the command signal for the propulsion devices is always harmonized with the maximum available load ramp signal.

12. The system according to claim 1, wherein the system, further comprising a Thrust Allocation Optimization module and a Force Demand Adder module, solves an optimization problem, utilizing a low-frequency force demand signal computed by the Force Demand Adder module, for further calculating a low-frequency power demand value for the propulsion device;

and the low-frequency power demand value is further transmitted as a feedforward signal for the pre-planning and the allocation of power and energy in the power plant.

13. The system according to claim 12, wherein the feedforward signal related to the low-frequency power demand value is used by the Energy Control Unit for adapting the base load for the at least one power generator.

14. The system according to claim 9, wherein the system, also comprising a Control Law Module, converts the maximum available load ramp value to a maximum jerk value, and the maximum jerk value is further used for adapting the gain values within the Control Law Module to prevent controller instability in the Control Law Module.

15. The system according to claim 1, wherein the system, also comprising a State of Charge Load Control Unit for the at least one energy storage device, issues a battery State of Charge (SOC) signal, wherein the system uses the SOC signal and the energy requirements predicted by the computational means to adapt the setpoint or base load of the at least one power generator.

16. The system according to claim 1, wherein the feedforward signals, also comprising high frequency feedforward signals, are used to allocate transient loading conditions to the at least one energy storage device.

17. The system according to claim 1, wherein the prediction of power and energy requirements includes models, lookup tables and energy consumption profiles for the at least one consumer under different operating conditions.

18. The system according to claim 17, wherein the models, lookup tables and profiles are updated at predetermined time intervals to improve the accuracy or validity of the models, lookup tables and profiles.