Evaluation of Wind Turbine Operation Status Based on ACO + FAHP

Ruizhe Zhang, Xueyao Wang


Aiming at the shortcomings of the fuzzy analytic hierarchy process (FAHP) in the comprehensive evaluation of wind power
projects, such as the diffi culty of satisfying and modifying the consistency of the judgment matrix and the high computational complexity, a
fuzzy analytic hierarchy process based on ant colony optimization (ACO+FAHP) is proposed. Firstly, the proposed fuzzy analytic hierarchy
process based on ant colony optimization algorithm overcomes the disadvantages that the weight and consistency cannot be improved once
the judgment matrix is given. The comparison chart of the consistency ratio calculated according to this method shows that the consistency
ratio B, C1-C5 all have diff erent degrees of reduction. Then, in view of the fact that various qualitative indicators cannot be accurately
calculated, the wind turbine operating status evaluation model is established by using the fuzzy comprehensive evaluation method. In this
paper, the evaluation score of a certain wind farm is 0.731, which means that the operators need to carry out high-level maintenance at this


wind power, fuzzy analytic hierarchy process, ant colony optimization, index system

Full Text:


Included Database


[1] K. Athakorn, P. Rontlaong, M. Tuominen.. A decision support system for selection of solar power plant locations by applying fuzzy AHP and TOPSIS: An

empirical study[J]. 2013.

[2] E. Hasan. Multi-criteria decision analysis for wind power plant location selection based on fuzzy AHP and geographic information systems[J].

Environment, Development and Sustainability, 2021, 23(12): 18278-18310.

[3] C. Rocha, E. Domíngue, D. Castillo, et al. Evaluation of energy alternatives through FAHP for the energization of Colombian insular areas[J]. International

Journal of Energy Economics and Policy, 2022, 12(4): 87-98.

[4] J. Zhang, J. Bai, Z. Zhang, et al. Operation state assessment of wind power system based on PSO[J]. FRONTIERS IN ENERGY RESEARCH, 2022, 10.

DOI: http://dx.doi.org/10.18686/esta.v10i2.385


  • There are currently no refbacks.

Copyright (c) 2023 Ruizhe Zhang,Xueyao Wang