Cooperative Optimal Control of Solar Plants
Sector: Solar • Location: Spain
Source: EU Funding & Tenders Portal
The main objective is to demonstrate that the Multiple Scenario Cooperative Model Predictive Control (MSC-MPC) algorithms developed under the Advanced Grant OCONTSOLAR can be effectively applied to optimize the production of commercial solar plants. This proposed PoC aims to validate the MSC-MPC algorithms developed in OCONTSOLAR not only for the solar field for the entire solar power plant. The p
- Status
- Under Construction
- Sector
- Solar, Nuclear, Power Generation (CCGT), Manufacturing (Industrial), Commercial
- Location
- Spain
- Updated
- 22 Jul 2026
- Source
- EU Funding & Tenders Portal
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Project Information
Participants
| Not available for this record. |
Status
Original status | ongoing |
Taiyo status | Under Construction |
Taiyo last update | 2026-07-22 |
Contact
| Not available for this record. |
Description
Description | The main objective is to demonstrate that the Multiple Scenario Cooperative Model Predictive Control (MSC-MPC) algorithms developed under the Advanced Grant OCONTSOLAR can be effectively applied to optimize the production of commercial solar plants. This proposed PoC aims to validate the MSC-MPC algorithms developed in OCONTSOLAR not only for the solar field for the entire solar power plant. The proposal addresses optimal scheduling and control while accounting for the intermittent and stochastic nature of solar radiation and electricity market prices. Specifically, Model Predictive Control based on multiple scenarios will be used to manage uncertainties. The experiments and demonstrations will be conducted on a commercial plant. If successful, the involved company intends to apply these results to other plants. Furthermore, the proponent believes these techniques could be extended to other types of power plants. |
Location
Country | Spain |
Source
Source | EU Funding & Tenders Portal |
URL |
More Details
Record type | Project |
Sector | Solar, Nuclear, Power Generation (CCGT), Manufacturing (Industrial), Commercial |
Article published date | 2026-01-01 |
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