TY - GEN
T1 - Co-Simulation Model for Optimal Wind-Hydro Coordination Using Wind Farm Control Dynamics
AU - Horstad, Torbjom Indrekvam
AU - Cali, Umit
AU - Dynge, Marthe Fogstad
AU - Korpas, Magnus
AU - Chapaloglou, Spyridon
AU - Gallego-Calderon, Juan F.
N1 - Funding Information:
This work has been supported by NorthWind (2021-2029), a Centre for Environmental-friendly Energy Research co-financed by the Research Council of Norway (contract 321954). The authors thank Valentin Chabaud for the discussions around and help with the implementation of wind farm control. The U.S. Department of Energy and Norway’s Royal Ministry of Petroleum and Energy collaborate on hydropower R&D through an Annex to a 2004 memorandum of understanding (MOU). This MOU Annex signed in 2020, brings together the DOE’s EERE Water Power Technologies Office (WPTO) and the Norwegian Research Centre for Hydropower Technology (HydroCen) to plan and coordinate hydropower R&D activities. This research was also supported by North-Wind (Norwegian Research Centre on Wind Energy), cofinanced by the Research Council of Norway, industry, and research partners (contract 321954).
Funding Information:
This work has been supported by NorthWind (2021- 2029), a Centre for Environmental-friendly Energy Research co-financed by the Research Council of Norway (contract 321954). The authors thank Valentin Chabaud for the discussions around and help with the implementation of wind farm control. The U.S. Department of Energy and Norway s Royal Ministry of Petroleum and Energy collaborate on hydropower R&D through an Annex to a 2004 memorandum of understanding (MOU). This MOU Annex signed in 2020, brings together the DOE s EERE Water Power Technologies Office (WPTO) and the Norwegian Research Centre for Hydropower Technology (HydroCen) to plan and coordinate hydropower R&D activities. This research was also supported by North- Wind (Norwegian Research Centre on Wind Energy), cofinanced by the Research Council of Norway, industry, and research partners (contract 321954).
Publisher Copyright:
© 2023 IEEE.
PY - 2023/9/27
Y1 - 2023/9/27
N2 - The growing share of Variable Renewable Energy Sources (VRES) in power systems presents challenges for regu-lators, grid operators and energy producers, due to their limited flexibility in operation. To address these challenges, decision-makers must consider multiple objectives, including revenue, power system services and mechanical load on wind turbines. Coordinated operation of power plants and different wind farm control strategies are examples of measures that can benefit these objectives. This article presents a Multi-Objective Linear Programming (MOLP) model to optimize wind and hydropower projects with limited transmission capacity. It incorporates wind farm control dynamics to estimate power output and damage. A case study in Norway demonstrates the impact of wind-hydro coordination and wind farm management on cumulative turbine damages and total revenue. The study also investigates the benefits of variable-speed pumps in hydropower plants. Results show that optimizing multiple objectives improves the performance, with Pump Hydro Storage (PHS) allowing for better revenue and reduced wind power curtailment. However, no substantial difference is observed comparing a variable-speed pump to a fixed-speed pump.
AB - The growing share of Variable Renewable Energy Sources (VRES) in power systems presents challenges for regu-lators, grid operators and energy producers, due to their limited flexibility in operation. To address these challenges, decision-makers must consider multiple objectives, including revenue, power system services and mechanical load on wind turbines. Coordinated operation of power plants and different wind farm control strategies are examples of measures that can benefit these objectives. This article presents a Multi-Objective Linear Programming (MOLP) model to optimize wind and hydropower projects with limited transmission capacity. It incorporates wind farm control dynamics to estimate power output and damage. A case study in Norway demonstrates the impact of wind-hydro coordination and wind farm management on cumulative turbine damages and total revenue. The study also investigates the benefits of variable-speed pumps in hydropower plants. Results show that optimizing multiple objectives improves the performance, with Pump Hydro Storage (PHS) allowing for better revenue and reduced wind power curtailment. However, no substantial difference is observed comparing a variable-speed pump to a fixed-speed pump.
KW - Grid utilisation
KW - Optimisation
KW - Scheduling
KW - Wind farm control
KW - Wind-Hydro Coordination
UR - https://www.scopus.com/pages/publications/85174290747
UR - https://www.mendeley.com/catalogue/136c3152-4560-3ff4-909b-c9b288cc139e/
U2 - 10.1109/SEST57387.2023.10257420
DO - 10.1109/SEST57387.2023.10257420
M3 - Conference contribution
AN - SCOPUS:85174290747
SN - 9798350397901
T3 - 2023 International Conference on Smart Energy Systems and Technologies, SEST 2023
BT - 2023 International Conference on Smart Energy Systems and Technologies, SEST 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 International Conference on Smart Energy Systems and Technologies, SEST 2023
Y2 - 4 September 2023 through 6 September 2023
ER -