A hierarchical clustering-based optimization strategy for active power dispatch of large-scale wind farm. (October 2020)
- Record Type:
- Journal Article
- Title:
- A hierarchical clustering-based optimization strategy for active power dispatch of large-scale wind farm. (October 2020)
- Main Title:
- A hierarchical clustering-based optimization strategy for active power dispatch of large-scale wind farm
- Authors:
- Lin, Zhongwei
Chen, Zhenyu
Qu, Chenzhi
Guo, Yifei
Liu, Jizhen
Wu, Qiuwei - Abstract:
- Abstract: For large-scale wind farm, the active power dispatch strategy should balance the conflicts among the tracking accuracy, regulation flexibility and solver reliability, which are not well achieved by the conventional proportional distribution (PD) strategy. In this paper, a novel hierarchical-active-power-dispatch strategy is proposed for the larger-scale wind farm based on the fuzzy c -means clustering algorithm and model predictive control method. Firstly, both the power tracking dynamic characteristics and output power fluctuations of wind turbines are considered as decision variables to divide the wind farm into appropriate clusters. Then the wind farm active power dispatch strategy can be constructed within a hierarchical control framework. More concretely, a lower-layer proportional controller is synthesized with the conventional PD strategy to distribute the active power for wind turbines within a cluster, which forms a closed-loop structure with robustness. The MPC strategy is adopted in the upper layer to dispatch the active power control set-point from the wind farm-level to clusters, which has fully considered the dynamic characteristics of each cluster. The proposed hierarchical strategy has the advantages of reducing the optimization problem scale, eliminating the dynamic tracking errors, enhancing the dynamic dispatching stability and robustness and increasing the active power distribution flexibility. Simulation results show the significant improvementAbstract: For large-scale wind farm, the active power dispatch strategy should balance the conflicts among the tracking accuracy, regulation flexibility and solver reliability, which are not well achieved by the conventional proportional distribution (PD) strategy. In this paper, a novel hierarchical-active-power-dispatch strategy is proposed for the larger-scale wind farm based on the fuzzy c -means clustering algorithm and model predictive control method. Firstly, both the power tracking dynamic characteristics and output power fluctuations of wind turbines are considered as decision variables to divide the wind farm into appropriate clusters. Then the wind farm active power dispatch strategy can be constructed within a hierarchical control framework. More concretely, a lower-layer proportional controller is synthesized with the conventional PD strategy to distribute the active power for wind turbines within a cluster, which forms a closed-loop structure with robustness. The MPC strategy is adopted in the upper layer to dispatch the active power control set-point from the wind farm-level to clusters, which has fully considered the dynamic characteristics of each cluster. The proposed hierarchical strategy has the advantages of reducing the optimization problem scale, eliminating the dynamic tracking errors, enhancing the dynamic dispatching stability and robustness and increasing the active power distribution flexibility. Simulation results show the significant improvement and good robustness of the proposed strategy. … (more)
- Is Part Of:
- International journal of electrical power & energy systems. Volume 121(2020)
- Journal:
- International journal of electrical power & energy systems
- Issue:
- Volume 121(2020)
- Issue Display:
- Volume 121, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 121
- Issue:
- 2020
- Issue Sort Value:
- 2020-0121-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-10
- Subjects:
- Wind Farm -- Active Power Control -- Clustering -- MPC -- PD -- Hierarchical Dispatch
Electrical engineering -- Periodicals
Electric power systems -- Periodicals
Électrotechnique -- Périodiques
Réseaux électriques (Énergie) -- Périodiques
Electric power systems
Electrical engineering
Periodicals
621.3 - Journal URLs:
- http://www.sciencedirect.com/science/journal/01420615 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ijepes.2020.106155 ↗
- Languages:
- English
- ISSNs:
- 0142-0615
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.220000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 13570.xml