Onshore Wind Farm Collector Circuit Division and Topology Optimization Based on Improved Fuzzy C-Means Clustering

doi:10.12096/j.2096-4528.pgt.23040

Abstract

Abstract:

Objectives Driven by the dual carbon goal and the accelerated transformation of China’s energy structure, the scale of the wind power industry continues to grow rapidly, and there is an urgent need to reduce costs and increase efficiency to cope with the pressure of grid parity. The cost of collector lines accounts for a relatively large proportion of investment, and there is considerable space for optimization. In order to reduce the investment cost, an improved fuzzy C-means (FCM) clustering algorithm was proposed. Methods The improved FCM clustering algorithm was used to divide the collector circuit of onshore wind farm. The algorithm comprehensively considered the azimuth angle and the Euclidean distance to ensure that the lines between the circuits were not crossed, and the adjacent units were gathered to the same circuit. The correction factor of the distance from the machine position to the cluster center was introduced, and the circuit capacity was limited by adjusting the distance correction factor. On the basis of circuit division, the dynamic Prim algorithm was used to optimize the line selection of each circuit. Finally, the effectiveness of the method was verified by an example of an onshore wind farm. Results Compared with the clustering method only considering the azimuth angle, the improved FCM algorithm considering azimuth angle and spacing has better optimization effect. The total cost of single-circuit and double-circuit collection lines is reduced by 2.6% and 5.4%, respectively. Conclusions The proposed algorithm can effectively reduce the total cost of collector lines, and has certain application value. It can provide a reference for the design of wind farm collector lines.

Key words: onshore wind farm, collector line, topology optimization, fuzzy C-means (FCM) clustering algorithm, dynamic Prim algorithm

CLC Number:

TK 89

Hai YI, Zhouan LÜ, Lingli ZHANG, Xi CHEN, Dian LIU, Yuwei HUANG, Xingxing HAN, Chang XU. Onshore Wind Farm Collector Circuit Division and Topology Optimization Based on Improved Fuzzy C-Means Clustering[J]. Power Generation Technology, 2024, 45(4): 675-683.

Figures/Tables 12

Fig. 1 Comparison of clustering results of Euclidean distance and expected clustering results

Fig. 2 Improved FCM circuit division algorithm flow considering azimuth and spacing

Fig. 3 Minimum spanning tree connecting each turbine and reference spacing between turbines

Fig. 4 Schematic diagram of the distance calculation method suitable for direction data

Tab. 1 Collector line construction cost

输送容量/MW	≤8	≤16	≤24	≤48
造价/(万元/km)	25	30	35	45

Fig. 5 Schematic diagram of topological structure of collector lines generated by dynamic Prim algorithm

Fig. 6 A completed wind farm machine and booster station distribution map

Fig. 7 Line topology designed by artificial experience

Fig. 8 Line topology optimized by dynamic Prim algorithm

Fig.9 Line topology optimized by FCM method considering azimuth angle

Fig. 10 Line topology optimized by FCM method considering azimuth angle and distance

Tab. 2 Comparison of total cost of collector lines obtained by different methods

方法	单回集电线路总造价/万元	双回集电线路总造价/万元
人工经验设计	—	1 300.00
动态Prim算法	—	1 005.44
考虑方位角的FCM算法+动态Prim算法	1 079.30	1 122.04
综合考虑方位角和间距的FCM算法+动态Prim算法	1 050.86	1 061.09

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