Multi-port subsea high-voltage power modulation and stored energy distribution system
US-2024356336-A1 · Oct 24, 2024 · US
US9246335B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9246335-B2 |
| Application number | US-201213532638-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jun 25, 2012 |
| Priority date | Jun 25, 2012 |
| Publication date | Jan 26, 2016 |
| Grant date | Jan 26, 2016 |
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A system designed to optimize fuel efficiency of a power grid includes a set of controllable generators designed to supply power to the power grid. Each generator in the set is associated with a controller, a set of loads designed to draw power from the power grid, and a grid controller designed to provide a load partitioned configuration for the set of controllable generators, based at least partly on the power draw of the set of loads.
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We claim: 1. A system designed to optimize fuel efficiency of a power grid, the system comprising: a set of controllable generators designed to supply power to the power grid, each generator in the set being associated with a controller; a set of loads designed to draw power from the power grid; a set of data, control and power distribution components connecting the various system elements and subsystems; and a microgrid control system including a single system controller communicating with each of said controllers and designed to analyze and control generator engine torques on a system wide basis, based at least partly on microgrid monitored system loading and to manage system operation and specifically to provide a continuously variable load assignment capability for the set of controllable generators based at least partly on the power requirements of the set of loads; wherein the system controller is configured to invoke a gain scheduler to change a control loop gain when a load share is determined to be unstable thereby making the power grid a self-configuring, auto-tuning grid. 2. The system of claim 1 , further comprising a load partition configuration is based at least partly on data received from a set of environmental sensors. 3. The system of claim 1 , further comprising a load partition configuration is based at least partly on data received from a set of performance sensors. 4. The system of claim 1 , further comprising a load partition configuration is based at least partly on a plurality of datasets, each dataset being associated with a particular generator from the set of generators. 5. The system of claim 4 , wherein each dataset from the plurality of datasets includes data regarding fuel consumption versus supplied load for the generator associated with the dataset. 6. The system of claim 1 , wherein the set of controllable generators includes a plurality of diesel-powered generators, each diesel-powered generator having an associated controller. 7. The system of claim 1 , wherein an automated initial configuration of the microgrid control system determines required control parameters for the set of controllable generators such that system stability, response time and efficiency are optimized and calibration of the required control parameters is performed when needed during normal operation or for routine maintenance. 8. A method of optimizing fuel efficiency for a power grid, comprising: determining a set of available generators each having a controller; determining a set of load conditions; in a single system controller communicating with said controllers, designed to analyze and control generator ermine torques on a system wide basis, based at least partly on microgrid monitored system loading, computing all possible load partition solutions for intervals of change for the set of available generators, with a desired granularity, based at least partly on the set of available generators and based at least partly on the set of load conditions, each possible load partition solution being associated with a total fuel consumption; identifying a load partition configuration with a minimum total fuel consumption from among all possible load sharing solutions; and determining whether the load partition configuration with the minimum total fuel consumption results in an unstable system, and invoking a gain scheduler to modify control parameters to correct the unstable system. 9. The method of claim 8 , wherein the set of available generators includes a plurality of diesel-powered generators. 10. The method of claim 9 , wherein identifying the load share with the minimum total fuel consumption includes evaluating a plurality of sets of characterization data, each set of characterization data being associated with a particular generator from the set of available generators. 11. The method of claim 10 , wherein each set of characterization data includes a plurality of data points, each data point corresponding to a specific load and an associated fuel consumption. 12. The method of claim 8 , including sending a set of control commands to the set of available generators based on the load partition with the minimum total fuel consumption. 13. The method of claim 12 , wherein the set of control commands includes a plurality of load partition-adjusted throttle commands. 14. A method of updating a plurality of sets of generator data, each generator being one of a plurality of generators and controllers supplying a particular microgrid system, comprising: in a system controller designed to analyze and control generator engine torques on a system wide basis, based at least partly on microgrid monitored system loading, incorporating data published or supplied by the manufacturer to establish an initial set of generator characterizations for at least one of the plurality of generators; in said system controller, incorporating data developed during system setup and/or calibration; in said system controller, incorporating data gathered during operation from performance and environmental sensors; in said system controller, updating the initial set of generator characterizations based on the data developed during system setup and/or calibration and further based on the data gathered during operation from performance and environmental sensors; and retaining the updated set of generator characterizations until a next scheduled update interval. 15. The method of claim 14 , wherein each of the sets of generator data comprises a set of characterization data indicating fuel consumption versus load. 16. The method of claim 15 , wherein each of the sets of generator data comprises maintenance data. 17. The method of claim 16 , wherein each of the sets of generator data comprises performance data. 18. The method of claim 17 , wherein each of the sets of generator data comprises environmental data. 19. The method of claim 14 , wherein the relevant updates comprise data related to components of the particular power grid.
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