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- Title
Hybrid Energy Management System for Operation of Wind Farm System Considering Grid-Code Constraints.
- Authors
Bui, Van-Hai; Hussain, Akhtar; Lee, Woon-Gyu; Kim, Hak-Man
- Abstract
In this paper, a hybrid energy management system is developed to optimize the operation of a wind farm (WF) by combining centralized and decentralized approaches. A two-stage optimization strategy, including distributed information sharing (stage 1); and centralized optimization (stage 2) is proposed to find out the optimal set-points of wind turbine generators (WTGs) considering grid-code constraints. In stage 1, cluster energy management systems (CEMSs) and transmission system operator (TSO) interact with their neighboring agents to share information using diffusion strategy and then determine the mismatch power amount between the current output power of WF and the required power from TSO. This amount of mismatch power is optimally allocated to all clusters through the CEMSs. In stage 2, a mixed-integer linear programming (MILP)-based optimization model is developed for each CEMS to find out the optimal set-points of WTGs in the corresponding cluster. The CEMSs are responsible for ensuring the operation of WF in accordance with the requirements of TSO (i.e., grid-code constraints) and also minimizing the power deviation for the set-points of WTGs in each cluster. The minimization of power deviation helps to reduce the internal power fluctuations inside each cluster. Finally, to evaluate the effectiveness of the proposed method, several case studies are analyzed in the simulations section for operation of a WF with 20 WTGs in four different clusters.
- Subjects
TURBINE generators; LINEAR programming; OPERATIONS management; WIND turbines; WIND power plants; OFFSHORE wind power plants
- Publication
Energies (19961073), 2019, Vol 12, Issue 24, p4672
- ISSN
1996-1073
- Publication type
Article
- DOI
10.3390/en12244672