Details
| Original language | English |
|---|---|
| Title of host publication | 7th International Hybrid Power Plants & Systems Workshop (HYB23) |
| Pages | 1-8 |
| Number of pages | 8 |
| ISBN (electronic) | 978-1-83953-909-1 |
| Publication status | Published - 2023 |
| Event | 7th International Hybrid Power Plants & Systems Workshop - Tórshavn, Faroe Islands Duration: 22 May 2023 → 25 May 2023 |
Abstract
An optimization-based energy management system (EMS) for the island hybrid power system of Suðuroy on the Faroe Islands is proposed in this paper. Next to balancing generation and load, the aim lies in reducing the operational costs while dealing with uncertainties from the intermittent nature of renewables. This is achieved by a two-layer model predictive control (MPC) approach solving a mixed-integer linear programming problem for unit commitment, as well as a non-linear programming optimal power flow problem for economic dispatch. The setpoints are transferred to the local controllers of the distributed energy resources. Simulations of the MPC strategy show that the utilization of renewables is preferred and, thus, decreasing operational costs are obtained while satisfying operational and security requirements. The proposed EMS is further investigated in quasi-stationary simulations using a simplified model of the Suðuroy power system. It can be observed that after changes of power setpoints and besides small deviations from the predicted values, no stability boundaries are violated.
Keywords
- ENERGY MANAGEMENT SYSTEM, HYBRID POWER SYSTEM, ISLAND POWER SYSTEM, MODEL PREDICTIVE CONTROL, OPTIMAL POWER FLOW
ASJC Scopus subject areas
Sustainable Development Goals
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7th International Hybrid Power Plants & Systems Workshop (HYB23). 2023. p. 1-8.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research
}
TY - GEN
T1 - Optimization-Based Operation of Island Hybrid Power Systems
T2 - 7th International Hybrid Power Plants & Systems Workshop
AU - Alferink, Marco
AU - Reus, Lucas
AU - Goudarzi, Farshid
AU - Hofmann, Lutz
AU - Michels, Kai
N1 - Funding Information: This work was supported by Federal Ministry for Economic Affairs and Climate Action on the basis of a decision by the German Bundestag. Project Inselnetz_optimal funding numbers: 03EI4033A and 03EI4033B. Funding Information: This work was supported by Federal Ministry for Economic Affairs and Climate Action on the basis of a decision by the
PY - 2023
Y1 - 2023
N2 - An optimization-based energy management system (EMS) for the island hybrid power system of Suðuroy on the Faroe Islands is proposed in this paper. Next to balancing generation and load, the aim lies in reducing the operational costs while dealing with uncertainties from the intermittent nature of renewables. This is achieved by a two-layer model predictive control (MPC) approach solving a mixed-integer linear programming problem for unit commitment, as well as a non-linear programming optimal power flow problem for economic dispatch. The setpoints are transferred to the local controllers of the distributed energy resources. Simulations of the MPC strategy show that the utilization of renewables is preferred and, thus, decreasing operational costs are obtained while satisfying operational and security requirements. The proposed EMS is further investigated in quasi-stationary simulations using a simplified model of the Suðuroy power system. It can be observed that after changes of power setpoints and besides small deviations from the predicted values, no stability boundaries are violated.
AB - An optimization-based energy management system (EMS) for the island hybrid power system of Suðuroy on the Faroe Islands is proposed in this paper. Next to balancing generation and load, the aim lies in reducing the operational costs while dealing with uncertainties from the intermittent nature of renewables. This is achieved by a two-layer model predictive control (MPC) approach solving a mixed-integer linear programming problem for unit commitment, as well as a non-linear programming optimal power flow problem for economic dispatch. The setpoints are transferred to the local controllers of the distributed energy resources. Simulations of the MPC strategy show that the utilization of renewables is preferred and, thus, decreasing operational costs are obtained while satisfying operational and security requirements. The proposed EMS is further investigated in quasi-stationary simulations using a simplified model of the Suðuroy power system. It can be observed that after changes of power setpoints and besides small deviations from the predicted values, no stability boundaries are violated.
KW - ENERGY MANAGEMENT SYSTEM
KW - HYBRID POWER SYSTEM
KW - ISLAND POWER SYSTEM
KW - MODEL PREDICTIVE CONTROL
KW - OPTIMAL POWER FLOW
UR - http://www.scopus.com/inward/record.url?scp=85174303443&partnerID=8YFLogxK
U2 - 10.1049/icp.2023.1427
DO - 10.1049/icp.2023.1427
M3 - Conference contribution
SP - 1
EP - 8
BT - 7th International Hybrid Power Plants & Systems Workshop (HYB23)
Y2 - 22 May 2023 through 25 May 2023
ER -