Multi-hybrid power generator system and method
US-2024405567-A1 · Dec 5, 2024 · US
US2023073260A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2023073260-A1 |
| Application number | US-202218049538-A |
| Country | US |
| Kind code | A1 |
| Filing date | Oct 25, 2022 |
| Priority date | Jul 2, 2020 |
| Publication date | Mar 9, 2023 |
| Grant date | — |
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Provided is an optimization system (1) including: a plurality of individual systems (20); and a host system (12) configured to communicate to and from the individual systems (20). Each of the individual systems (20) includes: a device (electric device (30)) which is connected to an energy source (electric power system (22)), and is configured to receive energy from the energy source, or transmit energy to the energy source; and an optimization calculation module (50) configured to execute optimization calculation so that an objective function is minimized under a state in which parameters of the energy through the device are set to the objective function and a constraint condition, respectively. The host system (12) includes a host calculation module (70) configured to derive an incentive based on a plurality of optimization calculation results each derived by a corresponding one of the individual systems (20). The optimization calculation module (50) is configured to again execute the optimization calculation based on the incentive derived by the host calculation module (70).
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What is claimed is: 1 . An optimization system, comprising: a plurality of individual systems; and a host system configured to communicate to and from the plurality of individual systems, wherein each of the plurality of individual systems includes: a device which is connected to an energy source, and is configured to receive energy from the energy source, or transmit energy to the energy source; and an optimization calculation module configured to execute optimization calculation so that an objective function is minimized under a state in which parameters of the energy through the device are set to the objective function and a constraint condition, respectively, wherein the host system includes a host calculation module configured to derive an incentive based on a plurality of optimization calculation results each derived by a corresponding one of the plurality of individual systems, and wherein the optimization calculation module is configured to again execute the optimization calculation based on the incentive derived by the host calculation module. 2 . The optimization system according to claim 1 , wherein the plurality of optimization calculation results each include a prediction value of a demand for energy received from the energy source in a corresponding one of the plurality of individual systems, and wherein the host calculation module is configured to derive a prediction value of a total imbalance amount being an index indicating an energy supply/demand balance obtained by totaling the plurality of individual systems based on the plurality of optimization calculation results, and to derive the incentive based on the prediction value of the total imbalance amount. 3 . The optimization system according to claim 2 , wherein the host calculation module is configured to repeat the derivation of the incentive until the derived prediction value of the total imbalance amount falls within a predetermined range, and wherein the optimization calculation module is configured to repeat the optimization calculation based on the derived incentive each time the incentive is derived. 4 . The optimization system according to claim 1 , wherein the optimization calculation module is configured to start the optimization calculation at each interrupt timing that arrives at a predetermined control cycle, and wherein the host calculation module is configured to start calculation based on one of the plurality of optimization calculation results at a timing of reception of the one of the plurality of optimization calculation results from any one of the plurality of individual systems.
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